diff --git a/.env b/.env new file mode 100644 index 0000000..ae851c3 --- /dev/null +++ b/.env @@ -0,0 +1,15 @@ +anthropic_api_key=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 + +# Saxo Bank SIM API - 24 hour token (refresh daily at developer.saxobank.com/openapi/token) +SAXO_TOKEN=eyJhbGciOiJFUzI1NiIsIng1dCI6IjY3NEM0MjFEMzZEMUE1OUNFNjFBRTIzMjMyOTVFRTAyRTc3MDMzNTkifQ.eyJvYWEiOiI3Nzc3NSIsImlzcyI6Im9hIiwiYWlkIjoiMTA5IiwidWlkIjoiYVFHTDhPUTR2LUU1cjRnTVVFUlltQT09IiwiY2lkIjoiYVFHTDhPUTR2LUU1cjRnTVVFUlltQT09IiwiaXNhIjoiRmFsc2UiLCJ0aWQiOiIyMDAyIiwic2lkIjoiNjE4ZjdjY2YwM2QyNDI0ZTgwMjUyOGM2NjQzYmE3ZjciLCJkZ2kiOiI4NCIsImV4cCI6IjE3Nzk3NTMxNzkiLCJvYWwiOiIxRiIsImlpZCI6ImRmMTdkNTZkMmNkYTRlZmE2ZTM5MDhkZWI4YjExZDYxIn0.F1ltcLpAr_724NqYYpa1Th4A-ibftPpYHcI7vAFQBI-wbOY_VNqakRuCFLAcNN73A_dV99RF-lz6vrrXoIyFkQ +SAXO_BASE=https://gateway.saxobank.com/sim/openapi + +# Saxo OAuth2 App credentials (MoneyMakerHJess) +SAXO_APP_KEY=bce4a7d403b84bc1b000461b25b2824a +SAXO_APP_SECRET_1=43d67cc692c6470796db3e81e493b12e +SAXO_APP_SECRET_2=9ef4f78b87eb4d948c2abdeaea920f14 +SAXO_AUTH_URL=https://sim.logonvalidation.net/authorize +SAXO_TOKEN_URL=https://sim.logonvalidation.net/token +SAXO_REDIRECT=http://localhost:8765/callback +MM_DB_PASS=919129fd5326dfc7817be588 +DATABASE_URL=postgresql://moneymaker:919129fd5326dfc7817be588@int.i80.dk:5432/moneymaker diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..a3eff6c --- /dev/null +++ b/.gitignore @@ -0,0 +1 @@ +.saxo_token.json diff --git a/Makefile b/Makefile new file mode 100644 index 0000000..73e9ac0 --- /dev/null +++ b/Makefile @@ -0,0 +1,68 @@ +PY := .venv/bin/python + +.PHONY: help run signals buy fetch rss analyze force dry company saxo saxo-buy saxo-sell saxo-login saxo-status + +help: + @echo "" + @echo " make → fetch + analyze new articles + vis board" + @echo " make run → samme som make" + @echo " make force → gen-analyser ALLE artikler (med Claude)" + @echo " make dry → dry-run uden at gemme noget" + @echo " make signals → vis signal board" + @echo " make buy → vis kun køb-kandidater" + @echo " make fetch → hent nye artikler fra Ground News" + @echo " make rss → hent danske RSS feeds (Børsen, Finans, Politiken)" + @echo " make orders → vis dagens køb/sælg/hold forslag" + @echo " make portfolio → vis åbne positioner + P&L" + @echo " make company → TICKER=NOVO-B make company" + @echo " make saxo → vis Saxo SIM konto status + positioner" + @echo " make saxo-buy → TICKER=NOVO-B N=5 make saxo-buy" + @echo " make saxo-sell → TICKER=NOVO-B N=5 make saxo-sell" + @echo "" + +run: analyze signals + +analyze: + $(PY) analyze.py + +force: + $(PY) analyze.py --force + +dry: + $(PY) analyze.py --dry-run --force + +signals: + $(PY) signals.py board + +buy: + $(PY) signals.py buy + +fetch: + $(PY) -c "from ground_news import fetch_all, get_db; db=get_db(); fetch_all(db, force=True); print('Done')" + +rss: + $(PY) rss_feeds.py + +orders: + $(PY) portfolio.py orders + +portfolio: + $(PY) portfolio.py status + +company: + $(PY) signals.py company $(TICKER) + +saxo-login: + $(PY) saxo_auth.py login + +saxo-status: + $(PY) saxo_auth.py status + +saxo: + $(PY) saxo_broker.py status + +saxo-buy: + $(PY) saxo_broker.py buy $(TICKER) $(N) + +saxo-sell: + $(PY) saxo_broker.py sell $(TICKER) $(N) diff --git a/__pycache__/analyze.cpython-314.pyc b/__pycache__/analyze.cpython-314.pyc new file mode 100644 index 0000000..ea2a727 Binary files /dev/null and b/__pycache__/analyze.cpython-314.pyc differ diff --git a/__pycache__/dashboard.cpython-314.pyc b/__pycache__/dashboard.cpython-314.pyc new file mode 100644 index 0000000..cf13413 Binary files /dev/null and b/__pycache__/dashboard.cpython-314.pyc differ diff --git a/__pycache__/db.cpython-314.pyc b/__pycache__/db.cpython-314.pyc new file mode 100644 index 0000000..542d38e Binary files /dev/null and b/__pycache__/db.cpython-314.pyc differ diff --git a/__pycache__/ground_news.cpython-314.pyc b/__pycache__/ground_news.cpython-314.pyc new file mode 100644 index 0000000..0abb2ee Binary files /dev/null and b/__pycache__/ground_news.cpython-314.pyc differ diff --git a/__pycache__/portfolio.cpython-314.pyc b/__pycache__/portfolio.cpython-314.pyc new file mode 100644 index 0000000..11e328c Binary files /dev/null and b/__pycache__/portfolio.cpython-314.pyc differ diff --git a/__pycache__/report.cpython-314.pyc b/__pycache__/report.cpython-314.pyc new file mode 100644 index 0000000..c134232 Binary files /dev/null and b/__pycache__/report.cpython-314.pyc differ diff --git a/__pycache__/rss_feeds.cpython-314.pyc b/__pycache__/rss_feeds.cpython-314.pyc new file mode 100644 index 0000000..6a6fbce Binary files /dev/null and b/__pycache__/rss_feeds.cpython-314.pyc differ diff --git a/__pycache__/runner.cpython-314.pyc b/__pycache__/runner.cpython-314.pyc new file mode 100644 index 0000000..402db3f Binary files /dev/null and b/__pycache__/runner.cpython-314.pyc differ diff --git a/__pycache__/saxo_auth.cpython-314.pyc b/__pycache__/saxo_auth.cpython-314.pyc new file mode 100644 index 0000000..132e84d Binary files /dev/null and b/__pycache__/saxo_auth.cpython-314.pyc differ diff --git a/__pycache__/saxo_broker.cpython-314.pyc b/__pycache__/saxo_broker.cpython-314.pyc new file mode 100644 index 0000000..e580ec1 Binary files /dev/null and b/__pycache__/saxo_broker.cpython-314.pyc differ diff --git a/__pycache__/signals.cpython-314.pyc b/__pycache__/signals.cpython-314.pyc new file mode 100644 index 0000000..d06c908 Binary files /dev/null and b/__pycache__/signals.cpython-314.pyc differ diff --git a/analyze.py b/analyze.py new file mode 100644 index 0000000..6313121 --- /dev/null +++ b/analyze.py @@ -0,0 +1,562 @@ +""" +analyze.py — C25 Financial Signal Extractor + +Pipeline (v2): + 1. Alias screen on title+desc for C25 mentions + 2. Coverage-spread filter: skip low-quality / one-sided articles + 3. NER upgrade: BERT-NER to confirm and expand matches + 4. Full-text fetch + re-screen + 5. FinBERT: quick sentiment — drop neutral < FINBERT_MIN_CONF + 6. Claude: structured extraction (tickers, magnitude, timeframe) + 7. yfinance: momentum check — direction alignment + 8. signal_score = sentiment_confidence × coverage_spread × momentum_alignment + 9. Alert if signal_score > ALERT_THRESHOLD + +Usage: + python3 analyze.py # analyze new articles only + python3 analyze.py --force # re-analyze everything + python3 analyze.py --limit 20 # limit to 20 articles + python3 analyze.py --dry-run # show matches without storing + python3 analyze.py --no-claude # skip Claude step (no API cost) +""" + +import re +import os +import sys +import json +import time +import math +import sqlite3 +import logging +import warnings +from pathlib import Path + +# Silence transformer noise before importing +os.environ.setdefault("TRANSFORMERS_VERBOSITY", "error") +os.environ.setdefault("HF_HUB_DISABLE_PROGRESS_BARS", "1") +warnings.filterwarnings("ignore") +logging.getLogger("transformers").setLevel(logging.ERROR) + +import torch +from transformers import pipeline +from dotenv import load_dotenv + +# Load .env (supports both ANTHROPIC_API_KEY and anthropic_api_key) +_env_file = Path(__file__).parent / ".env" +if _env_file.exists(): + load_dotenv(_env_file, override=False) + for _k, _v in list(os.environ.items()): + if _k.lower() == "anthropic_api_key" and "ANTHROPIC_API_KEY" not in os.environ: + os.environ["ANTHROPIC_API_KEY"] = _v + +# Ground News helpers +sys.path.insert(0, str(Path(__file__).parent)) +from ground_news import get_db, fetch_article_text, fetch_all +from rss_feeds import fetch_all_rss + +# --------------------------------------------------------------------------- +# Config +# --------------------------------------------------------------------------- + +C25_PATH = Path(__file__).parent / "c25.json" +_c25_raw = json.loads(C25_PATH.read_text()) +C25: dict[str, dict] = {k: v for k, v in _c25_raw.items() if not k.startswith("_")} + +# Build alias → ticker lookup (lower-cased for matching) +ALIAS_MAP: dict[str, str] = {} +for _ticker, _data in C25.items(): + for _alias in _data["aliases"]: + al = _alias.lower() + if al not in ALIAS_MAP: # first alias wins (most specific first in c25.json) + ALIAS_MAP[al] = _ticker + +DEVICE = -1 # always CPU — Quadro P400 (CC 6.1) too old + too little VRAM for these models + +# Quality thresholds +MIN_SOURCES = 1 # coverage_spread naturally weights single-source articles near zero +MIN_COVERAGE_SPREAD = 0.0 # disabled: signal_score naturally zeros out single-source articles +FINBERT_MIN_CONF = 0.70 # drop neutral articles below this FinBERT confidence +ALERT_THRESHOLD = 0.35 # signal_score > this → alert + + +# --------------------------------------------------------------------------- +# Model loading +# --------------------------------------------------------------------------- + +_ner_model = None +_finbert_model = None + + +def get_ner(): + global _ner_model + if _ner_model is None: + print("[analyze] Loading dslim/bert-base-NER …", flush=True) + _ner_model = pipeline( + "ner", + model="dslim/bert-base-NER", + aggregation_strategy="simple", + device=DEVICE, + ) + return _ner_model + + +def get_finbert(): + global _finbert_model + if _finbert_model is None: + print("[analyze] Loading ProsusAI/finbert …", flush=True) + _finbert_model = pipeline( + "sentiment-analysis", + model="ProsusAI/finbert", + device=DEVICE, + truncation=True, + max_length=512, + ) + return _finbert_model + + +# --------------------------------------------------------------------------- +# C25 alias matching +# --------------------------------------------------------------------------- + +def match_c25(text: str) -> dict[str, float]: + """ + Find C25 companies mentioned in text. + Returns {ticker: confidence_score}. + """ + text_lower = text.lower() + matches: dict[str, float] = {} + + for alias_lower, ticker in ALIAS_MAP.items(): + if ticker in matches: + continue # already found this company + + # Always use word boundaries — prevents "sonic" matching "hypersonic", + # "net" matching "internet", "iss" matching "mission", etc. + pat = r"(? dict[str, float]: + """ + Cross-reference NER ORG entities with alias map. + Requires whole-token match to avoid 'EMA' matching 'd-ema-nt'. + """ + merged = dict(base) + for ent in ner_result: + if ent.get("entity_group") not in ("ORG", "PER"): + continue + word_tokens = set(re.split(r"[\s\-_/]+", ent["word"].lower().strip("##"))) + for alias_lower, ticker in ALIAS_MAP.items(): + if len(alias_lower) < 4: + continue + alias_tokens = set(re.split(r"[\s\-_/]+", alias_lower)) + # Need significant token overlap, not just substring containment + overlap = alias_tokens & word_tokens + if overlap and len(overlap) / max(len(alias_tokens), len(word_tokens)) >= 0.5: + score = ent.get("score", 0.7) + if score > merged.get(ticker, 0): + merged[ticker] = score + return merged + + + + +# --------------------------------------------------------------------------- +# Coverage spread scoring +# --------------------------------------------------------------------------- + +def coverage_spread_score(row) -> float: + """ + Quality score (0–1) based on source count and bias diversity. + High = many sources from left + right + centre. Low = few or echo chamber. + """ + src = row["source_count"] or 0 + left = row["left_src_count"] or 0 + right = row["right_src_count"] or 0 + ctr = row["ctr_src_count"] or 0 + + if src < MIN_SOURCES: + return 0.0 + + quantity = min(1.0, math.log(max(1, src)) / math.log(50)) + fl, fr, fc = left / src, right / src, ctr / src + diversity = min(1.0, (fl * fr * fc) ** (1 / 3) * 9) # peaks at equal thirds + + return round(quantity * 0.6 + diversity * 0.4, 3) + + +# --------------------------------------------------------------------------- +# Claude structured extraction +# --------------------------------------------------------------------------- + +def claude_extract(title: str, text: str, tickers: list[str]) -> dict: + """ + Use Claude Haiku to extract structured financial signal. + Returns {"confirmed_tickers", "magnitude", "timeframe", "reasoning"}. + """ + import anthropic + + api_key = os.environ.get("ANTHROPIC_API_KEY") + if not api_key: + return {"confirmed_tickers": tickers, "magnitude": 5, "timeframe": "days", "reasoning": "(no API key)"} + + client = anthropic.Anthropic(api_key=api_key) + ticker_ctx = "\n".join( + f" {t}: {C25[t]['name']} ({C25[t]['sector']})" for t in tickers if t in C25 + ) + + prompt = f"""You are a financial analyst specializing in Scandinavian equities. + +Analyze this news article and assess its financial impact on the listed Danish C25 companies. + +## Companies to analyze: +{ticker_ctx} + +## Article: +Title: {title} +{text[:1500]} + +Respond ONLY with valid JSON (no markdown fences): +{{ + "confirmed_tickers": ["NOVO-B"], + "magnitude": 7, + "timeframe": "days", + "reasoning": "Two sentences max on financial impact and direction." +}} + +Fields: +- confirmed_tickers: only companies truly affected (can be []) +- magnitude: 1–10 (1=irrelevant, 10=major market mover) +- timeframe: "hours", "days", "weeks", or "months" +- reasoning: brief analyst note""" + + try: + msg = client.messages.create( + model="claude-haiku-4-5", + max_tokens=256, + messages=[{"role": "user", "content": prompt}], + ) + raw = msg.content[0].text.strip() + raw = re.sub(r"^```(?:json)?\n?", "", raw) + raw = re.sub(r"\n?```$", "", raw) + return json.loads(raw) + except Exception as e: + print(f" [warn] Claude failed: {e}") + return {"confirmed_tickers": tickers, "magnitude": 5, "timeframe": "days", "reasoning": str(e)[:120]} + + +# --------------------------------------------------------------------------- +# yfinance momentum +# --------------------------------------------------------------------------- + +_momentum_cache: dict[str, dict] = {} + + +def momentum_check(ticker: str) -> dict: + """5-day price momentum for a C25 ticker via yfinance.""" + if ticker in _momentum_cache: + return _momentum_cache[ticker] + + import yfinance as yf + + company = C25.get(ticker, {}) + yahoo_ticker = company.get("yahoo_ticker", ticker + ".CO") + result: dict = {"direction": "unknown", "pct_5d": 0.0, "pct_20d": 0.0} + + try: + hist = yf.Ticker(yahoo_ticker).history(period="1mo", auto_adjust=True) + if len(hist) >= 5: + close = hist["Close"] + pct_5d = float((close.iloc[-1] / close.iloc[-5] - 1) * 100) + pct_20d = float((close.iloc[-1] / close.iloc[0] - 1) * 100) if len(hist) >= 20 else 0.0 + direction = "up" if pct_5d > 1.5 else ("down" if pct_5d < -1.5 else "flat") + result = {"direction": direction, "pct_5d": round(pct_5d, 2), "pct_20d": round(pct_20d, 2)} + except Exception: + pass + + _momentum_cache[ticker] = result + return result + + +# --------------------------------------------------------------------------- +# Signal score +# --------------------------------------------------------------------------- + +def calc_signal_score(sent_score: float, sentiment: str, coverage: float, momentum: dict) -> float: + """signal_score = sentiment_confidence × coverage_spread × momentum_alignment""" + d = momentum.get("direction", "unknown") + if d == "unknown": + alignment = 0.5 + elif d == "flat": + alignment = 0.7 + elif (sentiment == "positive" and d == "up") or (sentiment == "negative" and d == "down"): + alignment = 1.0 + else: + alignment = 0.4 # contrarian + + return round(sent_score * coverage * alignment, 3) + + +# --------------------------------------------------------------------------- +# DB schema migration +# --------------------------------------------------------------------------- + +def migrate_db(db) -> None: + """Apply schema migrations for SQLite. No-op for Postgres (schema managed by db.py).""" + if hasattr(db, "db_type") and db.db_type == "postgres": + return + existing = {row[1] for row in db.execute("PRAGMA table_info(article_signals)").fetchall()} + new_cols = [ + ("coverage_spread", "REAL DEFAULT 0"), + ("claude_tickers", "TEXT"), + ("claude_magnitude", "INTEGER DEFAULT 5"), + ("claude_timeframe", "TEXT"), + ("claude_reasoning", "TEXT"), + ("momentum_dir", "TEXT"), + ("momentum_pct_5d", "REAL DEFAULT 0"), + ("signal_score", "REAL DEFAULT 0"), + ("alert", "INTEGER DEFAULT 0"), + ] + for col_name, col_def in new_cols: + if col_name not in existing: + db.execute(f"ALTER TABLE article_signals ADD COLUMN {col_name} {col_def}") + db.commit() + + +# --------------------------------------------------------------------------- +# Main pipeline +# --------------------------------------------------------------------------- + +def analyze_articles( + *, + force: bool = False, + limit: int | None = None, + dry_run: bool = False, + use_claude: bool = True, + auto_fetch: bool = True, +) -> None: + db = get_db() + migrate_db(db) + + # Auto-refresh articles (respects 30-min cache TTL) + if auto_fetch and not dry_run: + before = db.execute("SELECT COUNT(*) AS cnt FROM articles").fetchone()["cnt"] + print("[analyze] Refreshing Ground News feed …") + fetch_all(db) + print("[analyze] Henter danske RSS feeds …") + fetch_all_rss(db) + after = db.execute("SELECT COUNT(*) AS cnt FROM articles").fetchone()["cnt"] + if after > before: + print(f"[analyze] +{after - before} new articles") + + base_q = """ + SELECT slug, title, description, source_count, + left_src_count, right_src_count, ctr_src_count, + left_pct, right_pct, ctr_pct + FROM articles {where} + ORDER BY source_count DESC + """ + rows = db.execute( + base_q.format(where="" if force else + "WHERE slug NOT IN (SELECT DISTINCT article_slug FROM article_signals)") + ).fetchall() + if limit: + rows = rows[:limit] + + total = len(rows) + print(f"[analyze] {total} articles to process (force={force} dry_run={dry_run} claude={use_claude})") + if total == 0: + print("[analyze] Nothing to do.") + db.close() + return + + # ------------------------------------------------------------------ + # Phase 1 — Alias screen + coverage spread filter + # ------------------------------------------------------------------ + print("[analyze] Phase 1: alias screen + coverage filter …") + screened: list[tuple] = [] + dropped_cov = 0 + + for row in rows: + cov = coverage_spread_score(row) + if cov < MIN_COVERAGE_SPREAD: + dropped_cov += 1 + continue + text = f"{row['title']}. {row['description'] or ''}" + matches = match_c25(text) + if matches: + screened.append((row, matches, cov)) + + print(f"[analyze] {len(screened)}/{total} passed ({dropped_cov} dropped by coverage filter)") + if not screened: + db.close() + return + + # ------------------------------------------------------------------ + # Phase 2 — NER upgrade + # ------------------------------------------------------------------ + print("[analyze] Phase 2: NER upgrade …") + ner = get_ner() + texts = [f"{r['title']}. {r['description'] or ''}" for r, _, _ in screened] + + BATCH = 16 + all_ner = [] + for i in range(0, len(texts), BATCH): + all_ner.extend(ner(texts[i : i + BATCH])) + + enriched = [ + (row, merge_ner_matches(ner_res, base), cov) + for (row, base, cov), ner_res in zip(screened, all_ner) + ] + + # ------------------------------------------------------------------ + # Phase 3 — Full text + re-screen + # ------------------------------------------------------------------ + print(f"[analyze] Phase 3: fetching full text for {len(enriched)} articles …") + final: list[tuple] = [] + + for idx, (row, matches, cov) in enumerate(enriched, 1): + slug = row["slug"] + if idx % 5 == 0 or idx == len(enriched): + print(f" {idx}/{len(enriched)}: {slug[:55]}") + + # RSS artikler har teksten gemt i page_cache som "rss:{slug}" + cats = row["categories"] if "categories" in row.keys() else "" + if cats and cats.startswith("rss:"): + cache_row = db.execute( + "SELECT content FROM page_cache WHERE url = ?", + (f"rss:{slug}",), + ).fetchone() + full_text = cache_row["content"] if cache_row else f"{row['title']}. {row['description'] or ''}" + else: + full_text = fetch_article_text(slug, db) + + full_matches = match_c25(full_text) + for ticker, score in full_matches.items(): + if score > matches.get(ticker, 0): + matches[ticker] = score + if matches: + final.append((row, matches, cov, full_text)) + + print(f"[analyze] {len(final)} articles with confirmed C25 mentions") + + # ------------------------------------------------------------------ + # Phase 4 — FinBERT sentiment (confidence filter) + # ------------------------------------------------------------------ + print("[analyze] Phase 4: FinBERT sentiment …") + finbert = get_finbert() + now = int(time.time()) + signals_written = 0 + alerts_triggered = 0 + + for row, matches, cov, full_text in final: + slug = row["slug"] + title = row["title"] + + try: + fb = finbert(" ".join(full_text.split()[:400]))[0] + sentiment = fb["label"].lower() + sent_score = round(fb["score"], 4) + except Exception as e: + print(f" [warn] FinBERT: {e}") + sentiment, sent_score = "neutral", 0.5 + + if sentiment == "neutral" and sent_score < FINBERT_MIN_CONF: + continue # drop low-confidence neutral noise + + # ------------------------------------------------------------------ + # Phase 5 — Claude extraction + # ------------------------------------------------------------------ + claude_data: dict = {} + if use_claude and not dry_run and os.environ.get("ANTHROPIC_API_KEY"): + print(f" [claude] {slug[:50]}") + claude_data = claude_extract(title, full_text, list(matches.keys())) + + # ------------------------------------------------------------------ + # Phase 6 — yfinance momentum + scoring + # ------------------------------------------------------------------ + for ticker, entity_score in matches.items(): + company = C25[ticker] + full_lower = full_text.lower() + mention_count = max(1, sum( + len(re.findall( + r"(? ALERT_THRESHOLD and sentiment != "neutral" + + if dry_run: + print( + f" DRY: {slug[:38]:<38} | {ticker:<8} | " + f"{sentiment:<8} {sent_score:.2f} | cov={cov:.2f} | sig={sig_score:.3f}" + f"{' ⚡' if alert else ''}" + ) + else: + db.upsert( + "article_signals", + ["article_slug", "ticker"], + [ + "article_slug", "ticker", "company_name", "sector", + "sentiment", "sentiment_score", "entity_score", + "mention_count", "full_text_used", "analyzed_at", + "coverage_spread", "claude_tickers", "claude_magnitude", + "claude_timeframe", "claude_reasoning", + "momentum_dir", "momentum_pct_5d", "signal_score", "alert", + ], + ( + slug, ticker, company["name"], company["sector"], + sentiment, float(sent_score), round(float(entity_score), 4), + mention_count, 1, now, + float(cov), + json.dumps(claude_data.get("confirmed_tickers", [])) or None, + claude_data.get("magnitude", 5), + claude_data.get("timeframe", "days"), + claude_data.get("reasoning", ""), + momentum.get("direction", "unknown"), + float(momentum.get("pct_5d", 0.0)), + float(sig_score), + int(alert), + ), + ) + signals_written += 1 + if alert: + alerts_triggered += 1 + icon = "↑" if sentiment == "positive" else "↓" + print( + f" ⚡ ALERT: {icon} {ticker} ({company['name']}) | " + f"{sentiment} {sent_score:.2f} | sig={sig_score:.3f} | {slug[:40]}" + ) + + if not dry_run: + db.commit() + print(f"[analyze] Done. {signals_written} signals written, {alerts_triggered} alerts triggered.") + else: + print(f"[analyze] Dry-run complete. {len(final)} articles matched.") + + db.close() + + +# --------------------------------------------------------------------------- +# CLI — brug Makefile i stedet for at huske flags +# --------------------------------------------------------------------------- + +def main() -> None: + import sys + force = "--force" in sys.argv + dry_run = "--dry" in sys.argv + analyze_articles(force=force, dry_run=dry_run) + + +if __name__ == "__main__": + main() diff --git a/c25.json b/c25.json new file mode 100644 index 0000000..a42d827 --- /dev/null +++ b/c25.json @@ -0,0 +1,339 @@ +{ + "_meta": { + "description": "C25 company universe with NER aliases, sector tags, price tiers, and leveraged instruments", + "updated": "2026-05-25", + "price_source": "Yahoo Finance (DKK, indicative — refresh with yfinance)", + "leveraged_source": "WisdomTree ETP catalogue (Xetra/Euronext Paris)", + "tiers": { + "budget": "< 200 DKK — buy directly, multiple shares", + "accessible": "200-500 DKK — buy 1-2 shares", + "expensive": "500-2000 DKK — consider leveraged ETP", + "inaccessible": "> 2000 DKK — leveraged ETP strongly recommended" + } + }, + + "AMBU-B": { + "name": "Ambu A/S", + "ticker_yahoo": "AMBU-B.CO", + "sector": "medtech", + "tier": "budget", + "price_dkk_approx": 68, + "aliases": [ + "Ambu", "Ambu A/S", "Ambu B", "AMBU" + ], + "keywords": ["endoscopy", "single-use", "endoscope", "bronchoscope", "disposable medical"], + "leveraged": [] + }, + + "GN": { + "name": "GN Store Nord A/S", + "ticker_yahoo": "GN.CO", + "sector": "medtech", + "tier": "budget", + "price_dkk_approx": 95, + "aliases": [ + "GN Store Nord", "GN Audio", "Jabra", "GN Group", "SteelSeries", "Beltone" + ], + "keywords": ["hearing aids", "headsets", "audio", "cochlear implants", "Jabra headset"], + "leveraged": [] + }, + + "TRYG": { + "name": "Tryg A/S", + "ticker_yahoo": "TRYG.CO", + "sector": "insurance", + "tier": "budget", + "price_dkk_approx": 156, + "aliases": [ + "Tryg", "Tryg Forsikring", "Tryg A/S", "TrygVesta" + ], + "keywords": ["insurance", "Danish insurance", "P&C insurance", "Nordic insurance"], + "leveraged": [] + }, + + "ORSTED": { + "name": "Ørsted A/S", + "ticker_yahoo": "ORSTED.CO", + "sector": "energy", + "tier": "budget", + "price_dkk_approx": 167, + "aliases": [ + "Ørsted", "Orsted", "DONG Energy", "Ørsted A/S", "Oersted" + ], + "keywords": ["offshore wind", "wind energy", "renewable energy", "green energy", + "wind farm", "hydrogen", "North Sea wind"], + "leveraged": [ + {"ticker": "3ORE", "name": "WisdomTree Ørsted 3x Daily Long", "exchange": "Xetra", "direction": "long"}, + {"ticker": "SORE", "name": "WisdomTree Ørsted -3x Daily Short", "exchange": "Xetra", "direction": "short"} + ] + }, + + "ROCK-B": { + "name": "Rockwool International B", + "ticker_yahoo": "ROCK-B.CO", + "sector": "materials", + "tier": "budget", + "price_dkk_approx": 192, + "aliases": [ + "Rockwool", "ROCKWOOL", "Rockwool International", "Rockfon", "Roxul" + ], + "keywords": ["insulation", "stone wool", "building materials", "energy efficiency", + "fire safety insulation"], + "leveraged": [] + }, + + "VWS": { + "name": "Vestas Wind Systems A/S", + "ticker_yahoo": "VWS.CO", + "sector": "energy", + "tier": "budget", + "price_dkk_approx": 195, + "aliases": [ + "Vestas", "Vestas Wind", "Vestas Wind Systems", "VWS" + ], + "keywords": ["wind turbines", "wind power", "offshore wind", "onshore wind", + "turbine manufacturer", "renewable energy"], + "leveraged": [ + {"ticker": "3VWS", "name": "WisdomTree Vestas Wind Systems 3x Daily Long", "exchange": "Xetra", "direction": "long"}, + {"ticker": "SVWS", "name": "WisdomTree Vestas Wind Systems -3x Daily Short", "exchange": "Xetra", "direction": "short"} + ] + }, + + "BAVA": { + "name": "Bavarian Nordic A/S", + "ticker_yahoo": "BAVA.CO", + "sector": "pharma", + "tier": "budget", + "price_dkk_approx": 197, + "aliases": [ + "Bavarian Nordic", "BavNordic", "BAVA", "Imvamune", "Imvanex", "Jynneos", + "BN Biopharma" + ], + "keywords": ["vaccines", "mpox vaccine", "smallpox vaccine", "RSV vaccine", + "cancer immunotherapy", "monkeypox"], + "leveraged": [] + }, + + "DEMANT": { + "name": "Demant A/S", + "ticker_yahoo": "DEMANT.CO", + "sector": "medtech", + "tier": "accessible", + "price_dkk_approx": 247, + "aliases": [ + "Demant", "William Demant", "Oticon", "Bernafon", "Sonic", "Philips Hearing" + ], + "keywords": ["hearing aids", "hearing implants", "audiological equipment", + "cochlear implants", "Oticon hearing"], + "leveraged": [] + }, + + "ISS": { + "name": "ISS A/S", + "ticker_yahoo": "ISS.CO", + "sector": "services", + "tier": "accessible", + "price_dkk_approx": 265, + "aliases": [ + "ISS", "ISS A/S", "ISS World Services", "ISS Facility Services" + ], + "keywords": ["facility services", "cleaning services", "facility management", + "workplace services"], + "leveraged": [] + }, + + "NOVO-B": { + "name": "Novo Nordisk B", + "ticker_yahoo": "NOVO-B.CO", + "sector": "pharma", + "tier": "accessible", + "price_dkk_approx": 289, + "aliases": [ + "Novo Nordisk", "Novo", "NVO", "NNO", "NovoNordisk", + "Ozempic", "Wegovy", "Rybelsus", "Victoza", "Semaglutide", + "Tresiba", "Levemir", "NovoLog", "Fiasp" + ], + "keywords": ["GLP-1", "diabetes", "obesity", "insulin", "semaglutide", + "weight loss drug", "FDA approval", "EMA approval", + "weight management", "cardiovascular"], + "leveraged": [ + {"ticker": "3NOV", "name": "WisdomTree Novo Nordisk 3x Daily Long", "exchange": "Xetra", "direction": "long"}, + {"ticker": "SNOV", "name": "WisdomTree Novo Nordisk -3x Daily Short", "exchange": "Xetra", "direction": "short"} + ] + }, + + "ZEAL": { + "name": "Zealand Pharma A/S", + "ticker_yahoo": "ZEAL.CO", + "sector": "pharma", + "tier": "accessible", + "price_dkk_approx": 318, + "aliases": [ + "Zealand Pharma", "Zealand", "ZEAL", "Zegalogue", "Dasiglucagon", + "Petrelintide", "Glepaglutide" + ], + "keywords": ["peptide drugs", "GLP-1", "obesity", "short bowel syndrome", + "glucagon", "clinical trials", "FDA"], + "leveraged": [] + }, + + "DANSKE": { + "name": "Danske Bank A/S", + "ticker_yahoo": "DANSKE.CO", + "sector": "finance", + "tier": "accessible", + "price_dkk_approx": 332, + "aliases": [ + "Danske Bank", "Danske", "Danica Pension", "Northern Bank", + "Realkredit Danmark" + ], + "keywords": ["Danish bank", "banking", "mortgage", "money laundering", + "Nordic finance", "interest rates"], + "leveraged": [] + }, + + "NETC": { + "name": "Netcompany Group A/S", + "ticker_yahoo": "NETC.CO", + "sector": "technology", + "tier": "accessible", + "price_dkk_approx": 340, + "aliases": [ + "Netcompany", "NETC", "Netcompany Group" + ], + "keywords": ["IT consulting", "digital transformation", "public sector IT", + "cloud services", "Danish IT"], + "leveraged": [] + }, + + "COLO-B": { + "name": "Coloplast B", + "ticker_yahoo": "COLO-B.CO", + "sector": "medtech", + "tier": "accessible", + "price_dkk_approx": 404, + "aliases": [ + "Coloplast", "Coloplast B", "COLO", "Coloplast A/S" + ], + "keywords": ["ostomy", "wound care", "continence care", "urology", + "medical devices", "stoma"], + "leveraged": [] + }, + + "FLS": { + "name": "FLSmidth & Co. A/S", + "ticker_yahoo": "FLS.CO", + "sector": "industrials", + "tier": "expensive", + "price_dkk_approx": 516, + "aliases": [ + "FLSmidth", "FL Smidth", "FLS", "FLSmidth & Co" + ], + "keywords": ["cement equipment", "mining equipment", "green transition mining", + "cement plant", "copper mining"], + "leveraged": [] + }, + + "PNDORA": { + "name": "Pandora A/S", + "ticker_yahoo": "PNDORA.CO", + "sector": "retail", + "tier": "expensive", + "price_dkk_approx": 556, + "aliases": [ + "Pandora", "Pandora A/S", "Pandora jewelry", "Pandora charms", + "Pandora bracelet" + ], + "keywords": ["jewelry", "silver jewelry", "charm bracelets", + "luxury goods", "consumer discretionary"], + "leveraged": [] + }, + + "CARL-B": { + "name": "Carlsberg B", + "ticker_yahoo": "CARL-B.CO", + "sector": "beverages", + "tier": "expensive", + "price_dkk_approx": 878, + "aliases": [ + "Carlsberg", "Carlsberg B", "Carlsberg Group", "Tuborg", + "Kronenbourg", "1664", "Baltika", "Astra" + ], + "keywords": ["beer", "brewery", "lager", "alcohol", "beverage company", + "Western European beer", "Eastern European beer"], + "leveraged": [ + {"ticker": "3CAR", "name": "WisdomTree Carlsberg 3x Daily Long", "exchange": "Xetra", "direction": "long"}, + {"ticker": "SCAR", "name": "WisdomTree Carlsberg -3x Daily Short", "exchange": "Xetra", "direction": "short"} + ] + }, + + "NKT": { + "name": "NKT A/S", + "ticker_yahoo": "NKT.CO", + "sector": "industrials", + "tier": "expensive", + "price_dkk_approx": 1112, + "aliases": [ + "NKT", "NKT A/S", "NKT Cables", "NKT cable" + ], + "keywords": ["power cables", "high voltage cables", "offshore cables", + "subsea cables", "grid infrastructure", "energy transition"], + "leveraged": [] + }, + + "DSV": { + "name": "DSV A/S", + "ticker_yahoo": "DSV.CO", + "sector": "logistics", + "tier": "inaccessible", + "price_dkk_approx": 1522, + "aliases": [ + "DSV", "DSV A/S", "DSV Panalpina", "Panalpina", "DSV Air & Sea", + "DSV Road", "Schenker", "DB Schenker" + ], + "keywords": ["freight", "logistics", "supply chain", "air freight", + "sea freight", "global logistics", "3PL"], + "leveraged": [ + {"ticker": "3DSV", "name": "WisdomTree DSV 3x Daily Long", "exchange": "Xetra", "direction": "long"}, + {"ticker": "SDSV", "name": "WisdomTree DSV -3x Daily Short", "exchange": "Xetra", "direction": "short"} + ] + }, + + "GMAB": { + "name": "Genmab A/S", + "ticker_yahoo": "GMAB.CO", + "sector": "pharma", + "tier": "inaccessible", + "price_dkk_approx": 1724, + "aliases": [ + "Genmab", "GMAB", "Genmab A/S", "Darzalex", "Daratumumab", + "Epkinly", "Epcoritamab", "Kesimpta", "Ofatumumab" + ], + "keywords": ["antibody drugs", "oncology", "multiple myeloma", + "cancer treatment", "bispecific antibodies", "FDA approval"], + "leveraged": [ + {"ticker": "3GEN", "name": "WisdomTree Genmab 3x Daily Long", "exchange": "Xetra", "direction": "long"}, + {"ticker": "SGEN", "name": "WisdomTree Genmab -3x Daily Short", "exchange": "Xetra", "direction": "short"} + ] + }, + + "MAERSK-B": { + "name": "A.P. Møller - Mærsk B", + "ticker_yahoo": "MAERSK-B.CO", + "sector": "shipping", + "tier": "inaccessible", + "price_dkk_approx": 15280, + "aliases": [ + "Mærsk", "Maersk", "A.P. Moller", "A.P. Møller", "AP Moller", + "Møller-Mærsk", "Moller-Maersk", "APM", "APM Terminals", + "Maersk Line", "Mærsk Line", "Sealand" + ], + "keywords": ["container shipping", "shipping rates", "ocean freight", + "logistics", "Red Sea", "Suez Canal", "port congestion", + "supply chain", "container rates", "spot rates"], + "leveraged": [ + {"ticker": "3MRS", "name": "WisdomTree A.P. Møller-Mærsk 3x Daily Long", "exchange": "Xetra", "direction": "long"}, + {"ticker": "SMRS", "name": "WisdomTree A.P. Møller-Mærsk -3x Daily Short", "exchange": "Xetra", "direction": "short"} + ] + } +} diff --git a/dashboard.py b/dashboard.py new file mode 100644 index 0000000..a4345a0 --- /dev/null +++ b/dashboard.py @@ -0,0 +1,327 @@ +""" +dashboard.py — MoneyMaker live monitoring dashboard. + +Usage: + python dashboard.py # starts on http://localhost:5001 + python dashboard.py --port 5002 + +Auto-refreshes every 60 seconds. Shows: + • Portfolio P&L + C25 benchmark + • Open positions with live prices + • Closed trades (win/loss) + • Signal accuracy + • Recent runner log tail +""" +import argparse +import json +import time +from datetime import datetime, timezone +from pathlib import Path + +import yfinance as yf +from flask import Flask, render_template_string + +from db import get_conn, DB_TYPE +from report import _c25_day_return, _unrealised_pnl, _realised_pnl, _total_fees, _signal_accuracy + +CAPITAL = 10_000 +LOG_DIR = Path(__file__).parent / "logs" +REFRESH = 60 # seconds + +app = Flask(__name__) + +# ── HTML template ──────────────────────────────────────────────────────────── + +TEMPLATE = """ + + + + + + + MoneyMaker Dashboard + + + +

📈 MoneyMaker

+
DB: {{ db_type }}  ·  Opdateret: {{ now }}  ·  Refresh om {{ refresh }}s
+ + +
+
+
Net P&L
+
{{ "{:+,.0f}".format(net_pnl) }} kr
+
{{ "{:+.2f}%".format(net_pct) }}
+
+
+
Urealiseret
+
{{ "{:+,.0f}".format(unreal) }} kr
+
{{ open_count }} åben{{ 'e' if open_count != 1 else '' }} position{{ 'er' if open_count != 1 else '' }}
+
+
+
Realiseret
+
{{ "{:+,.0f}".format(realised) }} kr
+
Gebyrer: {{ "{:,.0f}".format(fees) }} kr
+
+
+
C25 i dag
+ {% if c25_ret is not none %} +
{{ "{:+.2f}%".format(c25_ret) }}
+
+ vs benchmark: {{ "{:+.2f}%".format(vs_bench) if vs_bench is not none else "—" }} +
+ {% else %} +
—
+
Marked lukket?
+ {% endif %} +
+
+
Signal accuracy
+ {% if sig.total_trades > 0 %} +
{{ "{:.0f}%".format(sig.accuracy_pct) }}
+
{{ sig.correct }} / {{ sig.total_trades }} handler korrekte
+ {% else %} +
—
+
Ingen lukkede handler
+ {% endif %} +
+
+
Kapital
+
{{ "{:,.0f}".format(capital) }} kr
+
Kontant: {{ "{:,.0f}".format(cash) }} kr
+
+
+ + +
+
📊 Åbne positioner
+ {% if positions %} + + + {% for p in positions %} + + + + + + + + + + + + {% endfor %} +
TickerAntalKøbtNuP&LÆndringStopTakeStatus
{{ p.ticker }}{{ "{:.0f}".format(p.shares) }}{{ "{:,.0f}".format(p.entry) }}{{ "{:,.0f}".format(p.last) }}{{ "{:+,.0f}".format(p.unreal) }}{{ "{:+.1f}%".format(p.pct) }}{{ "{:,.0f}".format(p.stop) }}{{ "{:,.0f}".format(p.take) }} + {% if p.stop_hit %}🔴 STOP + {% elif p.take_hit %}🟡 TAKE + {% else %}⏳ HOLD{% endif %} +
+ {% else %} +

Ingen åbne positioner.

+ {% endif %} +
+ + +
+
🏁 Lukkede handler
+ {% if trades %} + + + {% for t in trades %} + + + + + + + + + + + {% endfor %} +
TickerHandlingAntalKursTotalP&LSignalDato
{{ t.ticker }}{{ t.action.upper() }}{{ "{:.0f}".format(t.shares) }}{{ "{:,.0f}".format(t.price) }}{{ "{:,.0f}".format(t.total_dkk) }} + {{ "{:+,.0f}".format(t.pnl_dkk) if t.pnl_dkk is not none else "—" }} + + {% if t.signal_correct == 1 %}✅ korrekt + {% elif t.signal_correct == 0 %}❌ forkert + {% else %}—{% endif %} + {{ t.event_date }}
+ {% else %} +

Ingen handler endnu.

+ {% endif %} +
+ + +
+
🔬 NLP signal pipeline
+ + + + + + + +
Analyserede signalerAlert-triggers (≥threshold)Gns. score
{{ sig.total }}{{ sig.alerts }}{{ "{:.3f}".format(sig.avg_score) }}
+
+ + + {% if log_tail %} +
+
📋 Seneste log ({{ log_file }})
+ 
{{ log_tail }}
+
+ {% endif %} + +
MoneyMaker · {{ db_type }} · hjess-desktop · auto-refresh {{ refresh }}s
+ + +""" + + +# ── Data helpers ───────────────────────────────────────────────────────────── + +def _latest_log_tail(lines: int = 40) -> tuple[str, str]: + """Return (filename, last N lines) from most recent runner log.""" + if not LOG_DIR.exists(): + return "", "" + logs = sorted(LOG_DIR.glob("runner_*.log"), reverse=True) + if not logs: + return "", "" + path = logs[0] + try: + content = path.read_text(errors="replace") + tail = "\n".join(content.splitlines()[-lines:]) + return path.name, tail + except Exception: + return path.name, "" + + +def _open_positions_live(db) -> list[dict]: + """Fetch open positions with live yfinance prices.""" + rows = db.execute("SELECT * FROM positions").fetchall() + result = [] + for p in rows: + ticker = p["ticker"] + from report import C25 + yf_ticker = C25.get(ticker, {}).get("ticker_yahoo", ticker + ".CO") + try: + last = yf.Ticker(yf_ticker).fast_info.get("lastPrice") or p["entry_price"] + except Exception: + last = p["entry_price"] + entry = float(p["entry_price"]) + shares = float(p["shares"]) + pct = (last - entry) / entry * 100 + result.append({ + "ticker": ticker, + "shares": shares, + "entry": entry, + "last": last, + "unreal": shares * (last - entry), + "pct": pct, + "stop": float(p["stop_loss"]), + "take": float(p["take_profit"]), + "stop_hit": last <= p["stop_loss"], + "take_hit": last >= p["take_profit"], + }) + return result + + +def _closed_trades(db, limit: int = 20) -> list[dict]: + rows = db.execute(""" + SELECT ticker, action, shares, price, total_dkk, pnl_dkk, signal_correct, event_date + FROM position_events + ORDER BY id DESC LIMIT ? + """, (limit,)).fetchall() + return [dict(r) for r in rows] + + +# ── Routes ──────────────────────────────────────────────────────────────────── + +@app.route("/") +def index(): + db = get_conn() + try: + positions = _open_positions_live(db) + trades = _closed_trades(db) + unreal = sum(p["unreal"] for p in positions) + invested = sum(p["shares"] * p["entry"] for p in positions) + realised = _realised_pnl(db) + fees = _total_fees(db) + sig = _signal_accuracy(db) + c25_ret = _c25_day_return() + net_pnl = realised + unreal - fees + net_pct = net_pnl / CAPITAL * 100 + vs_bench = (net_pct - c25_ret) if c25_ret is not None else None + cash = CAPITAL - invested + log_file, log_tail = _latest_log_tail() + now = datetime.now(timezone.utc).strftime("%d %b %Y %H:%M UTC") + + return render_template_string( + TEMPLATE, + now=now, + db_type=DB_TYPE, + refresh=REFRESH, + capital=CAPITAL, + cash=cash, + unreal=unreal, + realised=realised, + fees=fees, + net_pnl=net_pnl, + net_pct=net_pct, + c25_ret=c25_ret, + vs_bench=vs_bench, + positions=positions, + open_count=len(positions), + trades=trades, + sig=type("Sig", (), sig)(), + log_file=log_file, + log_tail=log_tail, + ) + finally: + db.close() + + +@app.route("/health") +def health(): + return {"status": "ok", "db": DB_TYPE, "ts": time.time()} + + +# ── Main ────────────────────────────────────────────────────────────────────── + +def main(): + parser = argparse.ArgumentParser(description="MoneyMaker Dashboard") + parser.add_argument("--port", type=int, default=5001) + parser.add_argument("--host", default="0.0.0.0") + args = parser.parse_args() + print(f"\n MoneyMaker Dashboard → http://localhost:{args.port}\n") + app.run(host=args.host, port=args.port, debug=False) + + +if __name__ == "__main__": + main() diff --git a/db.py b/db.py new file mode 100644 index 0000000..55235c3 --- /dev/null +++ b/db.py @@ -0,0 +1,491 @@ +""" +db.py — Database abstraction layer for MoneyMaker. + +Supports both PostgreSQL (production, int.i80.dk) and SQLite (local dev). + +Usage: + from db import get_conn, DB_TYPE + + conn = get_conn() + rows = conn.execute("SELECT * FROM articles").fetchall() + conn.commit() + conn.close() + +Set DATABASE_URL in .env to use PostgreSQL: + DATABASE_URL=postgresql://moneymaker:pass@int.i80.dk:5432/moneymaker + +Without DATABASE_URL, falls back to SQLite (ground_news.db). +""" +import os +import sqlite3 +from pathlib import Path +from dotenv import load_dotenv + +load_dotenv() + +DATABASE_URL = os.getenv("DATABASE_URL", "") +SQLITE_PATH = Path(__file__).parent / "ground_news.db" +DB_TYPE = "postgres" if DATABASE_URL else "sqlite" + + +# ── DBConn wrapper ──────────────────────────────────────────────────────────── + +class DBConn: + """ + Unified connection wrapper for SQLite and PostgreSQL. + + - execute(sql, params): normalises ? → %s for Postgres; returns dict-row cursor + - upsert(table, pk, cols, vals): cross-DB INSERT OR REPLACE / ON CONFLICT DO UPDATE + - commit() / rollback() / close() + """ + + def __init__(self, conn, db_type: str): + self._conn = conn + self.db_type = db_type + + def _sql(self, sql: str) -> str: + """Translate ? placeholders to %s for Postgres.""" + if self.db_type == "postgres": + return sql.replace("?", "%s") + return sql + + def execute(self, sql: str, params=None): + sql = self._sql(sql) + if self.db_type == "postgres": + import psycopg2.extras + cur = self._conn.cursor(cursor_factory=psycopg2.extras.RealDictCursor) + cur.execute(sql, params) + return cur + else: + return self._conn.execute(sql, params) + + def executemany(self, sql: str, seq): + sql = self._sql(sql) + if self.db_type == "postgres": + cur = self._conn.cursor() + cur.executemany(sql, seq) + else: + self._conn.executemany(sql, seq) + + def upsert(self, table: str, pk, cols: list, vals: tuple): + """ + Cross-DB upsert. + + pk: single column name (str) or list of column names for composite PK. + SQLite: INSERT OR REPLACE INTO table (cols) VALUES (?,...) + Postgres: INSERT INTO table (cols) VALUES (%s,...) ON CONFLICT (pk) DO UPDATE SET ... + """ + if isinstance(pk, str): + pk = [pk] + if self.db_type == "postgres": + col_sql = ", ".join(cols) + val_sql = ", ".join(["%s"] * len(cols)) + non_pk = [c for c in cols if c not in pk] + pk_sql = ", ".join(pk) + if non_pk: + update = ", ".join(f"{c}=EXCLUDED.{c}" for c in non_pk) + sql = ( + f"INSERT INTO {table} ({col_sql}) VALUES ({val_sql}) " + f"ON CONFLICT ({pk_sql}) DO UPDATE SET {update}" + ) + else: + sql = ( + f"INSERT INTO {table} ({col_sql}) VALUES ({val_sql}) " + f"ON CONFLICT ({pk_sql}) DO NOTHING" + ) + cur = self._conn.cursor() + cur.execute(sql, vals) + else: + col_sql = ", ".join(cols) + val_sql = ", ".join(["?"] * len(cols)) + self._conn.execute( + f"INSERT OR REPLACE INTO {table} ({col_sql}) VALUES ({val_sql})", + vals, + ) + + def commit(self): + self._conn.commit() + + def rollback(self): + self._conn.rollback() + + def close(self): + self._conn.close() + + def __enter__(self): + return self + + def __exit__(self, exc_type, *_): + if exc_type: + self.rollback() + else: + self.commit() + self.close() + + +# ── Placeholder helpers (kept for legacy usage) ─────────────────────────────── + +def ph(n: int = 1) -> str: + """Return query placeholder: %s for postgres, ? for sqlite.""" + return "%s" if DB_TYPE == "postgres" else "?" + + +def placeholders(n: int) -> str: + """Return comma-separated placeholders for n values.""" + p = ph() + return ", ".join([p] * n) + + +# ── Connection ──────────────────────────────────────────────────────────────── + +def get_conn() -> DBConn: + """Return a DBConn wrapper (Postgres or SQLite).""" + if DB_TYPE == "postgres": + import psycopg2 + conn = psycopg2.connect(DATABASE_URL) + conn.autocommit = False + return DBConn(conn, "postgres") + else: + conn = sqlite3.connect(str(SQLITE_PATH)) + conn.row_factory = sqlite3.Row + return DBConn(conn, "sqlite") + + +# ── Schema ──────────────────────────────────────────────────────────────────── + +SCHEMA_SQLITE = """ +CREATE TABLE IF NOT EXISTS page_cache ( + url TEXT PRIMARY KEY, + page_type TEXT NOT NULL, + fetched_at INTEGER NOT NULL, + content TEXT NOT NULL +); + +CREATE TABLE IF NOT EXISTS rss_feed_cache ( + feed_id TEXT PRIMARY KEY, + fetched_at INTEGER NOT NULL +); + +CREATE TABLE IF NOT EXISTS articles ( + slug TEXT PRIMARY KEY, + story_id TEXT, + title TEXT NOT NULL, + description TEXT, + start_date TEXT, + source_count INTEGER, + bias_src_count INTEGER, + left_pct REAL, + ctr_pct REAL, + right_pct REAL, + left_src_count INTEGER, + ctr_src_count INTEGER, + right_src_count INTEGER, + overall_bias REAL, + blindspot TEXT, + factuality_json TEXT, + interests_json TEXT, + categories TEXT, + first_seen INTEGER, + last_seen INTEGER +); + +CREATE TABLE IF NOT EXISTS article_signals ( + id INTEGER PRIMARY KEY AUTOINCREMENT, + article_slug TEXT NOT NULL, + ticker TEXT NOT NULL, + company_name TEXT NOT NULL, + sector TEXT, + sentiment TEXT, + sentiment_score REAL, + entity_score REAL, + mention_count INTEGER, + full_text_used INTEGER, + analyzed_at INTEGER NOT NULL, + coverage_spread REAL, + claude_tickers TEXT, + claude_magnitude INTEGER, + claude_timeframe TEXT, + claude_reasoning TEXT, + momentum_dir TEXT, + momentum_pct_5d REAL, + signal_score REAL, + alert INTEGER +); + +CREATE TABLE IF NOT EXISTS positions ( + ticker TEXT PRIMARY KEY, + shares REAL NOT NULL, + entry_price REAL NOT NULL, + entry_date TEXT NOT NULL, + stop_loss REAL NOT NULL, + take_profit REAL NOT NULL, + note TEXT +); + +CREATE TABLE IF NOT EXISTS position_events ( + id INTEGER PRIMARY KEY AUTOINCREMENT, + ticker TEXT NOT NULL, + action TEXT NOT NULL, + shares REAL NOT NULL, + price REAL NOT NULL, + total_dkk REAL NOT NULL, + fee_dkk REAL, + pnl_dkk REAL, + signal_correct INTEGER, + event_date TEXT NOT NULL +); + +CREATE TABLE IF NOT EXISTS saxo_orders ( + id INTEGER PRIMARY KEY AUTOINCREMENT, + ticker TEXT NOT NULL, + direction TEXT NOT NULL, + shares REAL NOT NULL, + price_dkk REAL, + total_dkk REAL, + fee_dkk REAL, + saxo_order_id TEXT, + status TEXT NOT NULL, + signal_score REAL, + analyst_rec TEXT, + placed_at TEXT NOT NULL, + filled_at TEXT, + note TEXT +); +""" + +SCHEMA_POSTGRES = """ +CREATE TABLE IF NOT EXISTS page_cache ( + url TEXT PRIMARY KEY, + page_type TEXT NOT NULL, + fetched_at BIGINT NOT NULL, + content TEXT NOT NULL +); + +CREATE TABLE IF NOT EXISTS rss_feed_cache ( + feed_id TEXT PRIMARY KEY, + fetched_at BIGINT NOT NULL +); + +CREATE TABLE IF NOT EXISTS articles ( + slug TEXT PRIMARY KEY, + story_id TEXT, + title TEXT NOT NULL, + description TEXT, + start_date TEXT, + source_count INTEGER, + bias_src_count INTEGER, + left_pct REAL, + ctr_pct REAL, + right_pct REAL, + left_src_count INTEGER, + ctr_src_count INTEGER, + right_src_count INTEGER, + overall_bias REAL, + blindspot TEXT, + factuality_json TEXT, + interests_json TEXT, + categories TEXT, + first_seen BIGINT, + last_seen BIGINT +); + +CREATE TABLE IF NOT EXISTS article_signals ( + id SERIAL PRIMARY KEY, + article_slug TEXT NOT NULL, + ticker TEXT NOT NULL, + company_name TEXT NOT NULL, + sector TEXT, + sentiment TEXT, + sentiment_score REAL, + entity_score REAL, + mention_count INTEGER, + full_text_used INTEGER, + analyzed_at BIGINT NOT NULL, + coverage_spread REAL, + claude_tickers TEXT, + claude_magnitude INTEGER, + claude_timeframe TEXT, + claude_reasoning TEXT, + momentum_dir TEXT, + momentum_pct_5d REAL, + signal_score REAL, + alert INTEGER, + UNIQUE(article_slug, ticker) +); + +CREATE TABLE IF NOT EXISTS positions ( + ticker TEXT PRIMARY KEY, + shares REAL NOT NULL, + entry_price REAL NOT NULL, + entry_date TEXT NOT NULL, + stop_loss REAL NOT NULL, + take_profit REAL NOT NULL, + note TEXT +); + +CREATE TABLE IF NOT EXISTS position_events ( + id SERIAL PRIMARY KEY, + ticker TEXT NOT NULL, + action TEXT NOT NULL, + shares REAL NOT NULL, + price REAL NOT NULL, + total_dkk REAL NOT NULL, + fee_dkk REAL, + pnl_dkk REAL, + signal_correct SMALLINT, + event_date TEXT NOT NULL +); + +CREATE TABLE IF NOT EXISTS saxo_orders ( + id SERIAL PRIMARY KEY, + ticker TEXT NOT NULL, + direction TEXT NOT NULL, + shares REAL NOT NULL, + price_dkk REAL, + total_dkk REAL, + fee_dkk REAL, + saxo_order_id TEXT, + status TEXT NOT NULL, + signal_score REAL, + analyst_rec TEXT, + placed_at TIMESTAMPTZ NOT NULL DEFAULT NOW(), + filled_at TIMESTAMPTZ, + note TEXT +); +""" + + +def init_schema(): + """Create all tables if they don't exist. Safe to run multiple times.""" + if DB_TYPE == "postgres": + import psycopg2 + conn = psycopg2.connect(DATABASE_URL) + cur = conn.cursor() + for stmt in SCHEMA_POSTGRES.split(";"): + stmt = stmt.strip() + if stmt: + cur.execute(stmt) + # Add UNIQUE constraint for article_signals (article_slug, ticker) if missing + cur.execute(""" + SELECT 1 FROM pg_constraint + WHERE conname = 'uq_article_ticker' + AND conrelid = 'article_signals'::regclass + """) + if not cur.fetchone(): + cur.execute( + "ALTER TABLE article_signals " + "ADD CONSTRAINT uq_article_ticker UNIQUE (article_slug, ticker)" + ) + conn.commit() + cur.close() + conn.close() + else: + conn = sqlite3.connect(str(SQLITE_PATH)) + conn.executescript(SCHEMA_SQLITE) + conn.commit() + conn.close() + print(f" Schema initialiseret ({DB_TYPE})") + + +# ── SQLite → Postgres migration ─────────────────────────────────────────────── + +def migrate_sqlite_to_postgres(): + """ + One-time migration: copy all data from local SQLite to Postgres. + Safe to run multiple times (uses INSERT OR IGNORE / ON CONFLICT DO NOTHING). + """ + if DB_TYPE != "postgres": + print("DATABASE_URL ikke sat — kører ikke migration") + return + + import psycopg2 + sqlite_conn = sqlite3.connect(str(SQLITE_PATH)) + sqlite_conn.row_factory = sqlite3.Row + pg_conn = get_conn() + pg_cur = pg_conn.cursor() + + tables = [ + "page_cache", "rss_feed_cache", "articles", + "article_signals", "positions", "position_events" + ] + + for table in tables: + rows = sqlite_conn.execute(f"SELECT * FROM {table}").fetchall() + if not rows: + print(f" {table}: 0 rækker — skip") + continue + + cols = list(rows[0].keys()) + cols_sql = ", ".join(cols) + vals_sql = ", ".join(["%s"] * len(cols)) + + # SERIAL columns (id) — let Postgres auto-assign + insert_cols = [c for c in cols if c != "id"] if "id" in cols else cols + insert_vals = ", ".join(["%s"] * len(insert_cols)) + insert_cols_sql = ", ".join(insert_cols) + + inserted = 0 + skipped = 0 + for row in rows: + # Coerce bytes (SQLite blob) to float/None for Postgres REAL columns + values = [] + for c in insert_cols: + v = row[c] + if isinstance(v, (bytes, bytearray)): + try: + import struct + v = struct.unpack('d', v)[0] + except Exception: + v = None + values.append(v) + values = tuple(values) + try: + pg_cur.execute( + f"INSERT INTO {table} ({insert_cols_sql}) VALUES ({insert_vals}) " + f"ON CONFLICT DO NOTHING", + values + ) + if pg_cur.rowcount > 0: + inserted += 1 + else: + skipped += 1 + except Exception as e: + skipped += 1 + + pg_conn.commit() + print(f" {table}: {inserted} indsat, {skipped} sprunget over") + + sqlite_conn.close() + pg_conn.close() + print(" Migration færdig!") + + +if __name__ == "__main__": + import sys + cmd = sys.argv[1] if len(sys.argv) > 1 else "status" + + if cmd == "init": + init_schema() + elif cmd == "migrate": + print(f"Migrerer SQLite → PostgreSQL ...") + init_schema() + migrate_sqlite_to_postgres() + elif cmd == "status": + conn = get_conn() + if DB_TYPE == "postgres": + raw = conn._conn.cursor() + raw.execute("SELECT tablename FROM pg_tables WHERE schemaname='public'") + tables = [r[0] for r in raw.fetchall()] + for t in sorted(tables): + raw.execute(f"SELECT COUNT(*) FROM {t}") + print(f" {t}: {raw.fetchone()[0]} rækker") + raw.close() + else: + tables = conn.execute("SELECT name FROM sqlite_master WHERE type='table'").fetchall() + for t in tables: + n = conn.execute(f"SELECT COUNT(*) AS cnt FROM {t['name']}").fetchone()["cnt"] + print(f" {t['name']}: {n} rækker") + conn.close() + print(f"\n DB type: {DB_TYPE}") + else: + print("Brug: python db.py [init|migrate|status]") diff --git a/ground-news-ext/extension.xpi b/ground-news-ext/extension.xpi new file mode 100644 index 0000000..2ff406f Binary files /dev/null and b/ground-news-ext/extension.xpi differ diff --git a/ground-news-ext/src/128.png b/ground-news-ext/src/128.png new file mode 100644 index 0000000..923b2b7 Binary files /dev/null and b/ground-news-ext/src/128.png differ diff 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url('moz-extension://__MSG_@@extension_id__/fonts/UniversalSans-480.ttf') format('ttf'); + font-weight: 480; + } +.tw-static { + position: static !important; +} +.tw-fixed { + position: fixed !important; +} +.tw-absolute { + position: absolute !important; +} +.tw-relative { + position: relative !important; +} +.tw-left-0 { + left: 0px !important; +} +.tw-z-\[1000000000\] { + z-index: 1000000000 !important; +} +.tw-z-\[10000\] { + z-index: 10000 !important; +} +.tw-float-right { + float: right !important; +} +.tw-my-\[13px\] { + margin-top: 13px !important; + margin-bottom: 13px !important; +} +.tw-mb-0 { + margin-bottom: 0px !important; +} +.tw-mb-\[20px\] { + margin-bottom: 20px !important; +} +.tw-box-border { + box-sizing: border-box !important; +} +.tw-inline-block { + display: inline-block !important; +} +.tw-flex { + display: flex !important; +} +.tw-inline-flex { + display: inline-flex !important; +} +.tw-hidden { + display: none !important; +} +.tw-h-\[1px\] { + height: 1px !important; +} +.tw-h-\[20px\] { + height: 20px !important; +} +.tw-h-\[30px\] { + height: 30px !important; +} +.tw-h-\[35px\] { + height: 35px !important; +} +.tw-h-\[54px\] { + height: 54px !important; +} +.tw-h-full { + height: 100% !important; +} +.tw-min-h-\[30px\] { + min-height: 30px !important; +} +.tw-w-\[200px\] { + width: 200px !important; +} +.tw-w-\[20px\] { + width: 20px !important; +} +.tw-w-\[30px\] { + width: 30px !important; +} +.tw-w-\[35px\] { + width: 35px !important; +} +.tw-w-\[420px\] { + width: 420px !important; +} +.tw-w-\[450px\] { + width: 450px !important; +} +.tw-w-full { + width: 100% !important; +} +.\!tw-max-w-none { + max-width: none !important; +} +.tw-flex-initial { + flex: 0 1 auto !important; +} +.tw-flex-none { + flex: none !important; +} +.tw-flex-shrink-0 { + flex-shrink: 0 !important; +} +.tw-flex-grow-0 { + flex-grow: 0 !important; +} +.tw-cursor-pointer { + cursor: pointer !important; +} +.tw-items-center { + align-items: center !important; +} +.tw-justify-end { + justify-content: flex-end !important; +} +.tw-justify-center { + justify-content: center !important; +} +.tw-justify-between { + justify-content: space-between !important; +} +.tw-gap-x-3 { + -moz-column-gap: 0.75rem !important; + column-gap: 0.75rem !important; +} +.tw-gap-x-\[10px\] { + -moz-column-gap: 10px !important; + column-gap: 10px !important; +} +.tw-gap-x-\[5px\] { + -moz-column-gap: 5px !important; + column-gap: 5px !important; +} +.tw-overflow-hidden { + overflow: hidden !important; +} +.tw-truncate { + overflow: hidden !important; + text-overflow: ellipsis !important; + white-space: nowrap !important; +} +.tw-whitespace-nowrap { + white-space: nowrap !important; +} +.tw-rounded { + border-radius: 0.25rem !important; +} +.tw-rounded-full { + border-radius: 9999px !important; +} +.tw-rounded-md { + border-radius: 0.375rem !important; +} +.\!tw-border { + border-width: 1px !important; +} +.tw-border { + border-width: 1px !important; +} +.tw-border-0 { + border-width: 0px !important; +} +.tw-border-solid { + border-style: solid !important; +} +.\!tw-border-light { + --tw-border-opacity: 1 !important; + border-color: rgb(238 239 233 / var(--tw-border-opacity)) !important; +} +.tw-border-light { + --tw-border-opacity: 1 !important; + border-color: rgb(238 239 233 / var(--tw-border-opacity)) !important; +} +.\!tw-bg-light { + --tw-bg-opacity: 1 !important; + background-color: rgb(238 239 233 / var(--tw-bg-opacity)) !important; +} +.tw-bg-biasBarCenter { + --tw-bg-opacity: 1 !important; + background-color: rgb(255 255 255 / var(--tw-bg-opacity)) !important; +} +.tw-bg-biasBarLeft { + --tw-bg-opacity: 1 !important; + background-color: rgb(32 73 134 / var(--tw-bg-opacity)) !important; +} +.tw-bg-biasBarRight { + --tw-bg-opacity: 1 !important; + background-color: rgb(128 39 39 / var(--tw-bg-opacity)) !important; +} +.tw-bg-center { + --tw-bg-opacity: 1 !important; + background-color: rgb(255 255 255 / var(--tw-bg-opacity)) !important; +} +.tw-bg-dark { + --tw-bg-opacity: 1 !important; + background-color: rgb(38 38 38 / var(--tw-bg-opacity)) !important; +} +.tw-bg-farLeft { + --tw-bg-opacity: 1 !important; + background-color: rgb(77 109 158 / var(--tw-bg-opacity)) !important; +} +.tw-bg-farRight { + --tw-bg-opacity: 1 !important; + background-color: rgb(153 82 82 / var(--tw-bg-opacity)) !important; +} +.tw-bg-focus { + --tw-bg-opacity: 1 !important; + background-color: rgb(209 189 145 / var(--tw-bg-opacity)) !important; +} +.tw-bg-leanLeft { + --tw-bg-opacity: 1 !important; + background-color: rgb(210 219 231 / var(--tw-bg-opacity)) !important; +} +.tw-bg-leanRight { + --tw-bg-opacity: 1 !important; + background-color: rgb(217 190 190 / var(--tw-bg-opacity)) !important; +} +.tw-bg-left { + --tw-bg-opacity: 1 !important; + background-color: rgb(144 164 195 / var(--tw-bg-opacity)) !important; +} +.tw-bg-light { + --tw-bg-opacity: 1 !important; + background-color: rgb(238 239 233 / var(--tw-bg-opacity)) !important; +} +.tw-bg-right { + --tw-bg-opacity: 1 !important; + background-color: rgb(192 147 147 / var(--tw-bg-opacity)) !important; +} +.tw-bg-center { + background-position: center !important; +} +.tw-bg-left { + background-position: left !important; +} +.tw-bg-right { + background-position: right !important; +} +.tw-fill-dark { + fill: #262626 !important; +} +.tw-fill-light { + fill: #EEEFE9 !important; +} +.tw-p-\[20px\] { + padding: 20px !important; +} +.tw-px-2 { + padding-left: 0.5rem !important; + padding-right: 0.5rem !important; +} +.tw-px-\[5px\] { + padding-left: 5px !important; + padding-right: 5px !important; +} +.tw-text-center { + text-align: center !important; +} +.tw-align-middle { + vertical-align: middle !important; +} +.tw-font-ground { + font-family: UniversalSans !important; +} +.tw-text-\[10px\] { + font-size: 10px !important; +} +.tw-text-\[12px\] { + font-size: 12px !important; +} +.tw-text-\[15px\] { + font-size: 15px !important; +} +.tw-text-\[18px\] { + font-size: 18px !important; +} +.tw-text-\[20px\] { + font-size: 20px !important; +} +.tw-text-\[30px\] { + font-size: 30px !important; +} +.tw-font-\[480\] { + font-weight: 480 !important; +} +.tw-font-\[600\] { + font-weight: 600 !important; +} +.tw-leading-\[20px\] { + line-height: 20px !important; +} +.tw-leading-\[25px\] { + line-height: 25px !important; +} +.tw-leading-\[30px\] { + line-height: 30px !important; +} +.tw-leading-\[54px\] { + line-height: 54px !important; +} +.tw-text-center { + --tw-text-opacity: 1 !important; + color: rgb(255 255 255 / var(--tw-text-opacity)) !important; +} +.tw-text-dark { + --tw-text-opacity: 1 !important; + color: rgb(38 38 38 / var(--tw-text-opacity)) !important; +} +.tw-text-light { + --tw-text-opacity: 1 !important; + color: rgb(238 239 233 / var(--tw-text-opacity)) !important; +} +.tw-opacity-0 { + opacity: 0 !important; +} +.tw-opacity-100 { + opacity: 1 !important; +} +.tw-transition-\[width\,background-color\,color\] { + transition-property: width,background-color,color !important; + transition-timing-function: cubic-bezier(0.4, 0, 0.2, 1) !important; + transition-duration: 150ms !important; +} +.tw-transition-all { + transition-property: all !important; + transition-timing-function: cubic-bezier(0.4, 0, 0.2, 1) !important; + transition-duration: 150ms !important; +} +.tw-transition-opacity { + transition-property: opacity !important; + transition-timing-function: cubic-bezier(0.4, 0, 0.2, 1) !important; + transition-duration: 150ms !important; +} +.tw-duration-300 { + transition-duration: 300ms !important; +} +.tw-duration-500 { + transition-duration: 500ms !important; +} +.tw-ease-in-out { + transition-timing-function: cubic-bezier(0.4, 0, 0.2, 1) !important; +} +.\[top\:-108px\] { + top: -108px !important; +} +.\[top\:0px\] { + top: 0px !important; +} +.\[transition\:top_500ms_cubic-bezier\(0\2c 0\2c 0\2c 1\)\] { + transition: top 500ms cubic-bezier(0,0,0,1) !important; +} +.hover\:tw-bg-dark:hover { + --tw-bg-opacity: 1 !important; + background-color: rgb(38 38 38 / var(--tw-bg-opacity)) !important; +} +.hover\:tw-bg-light:hover { + --tw-bg-opacity: 1 !important; + background-color: rgb(238 239 233 / var(--tw-bg-opacity)) !important; +} +.hover\:tw-text-dark:hover { + --tw-text-opacity: 1 !important; + color: rgb(38 38 38 / var(--tw-text-opacity)) !important; +} +.hover\:tw-text-light:hover { + --tw-text-opacity: 1 !important; + color: rgb(238 239 233 / var(--tw-text-opacity)) !important; +} +@media (max-width: 1340px) { + .max-\[1340px\]\:tw-hidden { + display: none !important; + } +} +@media (min-width: 1280px) { + .xl\:tw-inline-block { + display: inline-block !important; + } + .xl\:tw-gap-x-\[10px\] { + -moz-column-gap: 10px !important; + column-gap: 10px !important; + } +} +@media (min-width: 1341px) { + .min-\[1341px\]\:tw-hidden { + display: none !important; + } +} diff --git a/ground-news-ext/src/js/bluesky.js b/ground-news-ext/src/js/bluesky.js new file mode 100644 index 0000000..b9f29f8 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rgb(255 255 255 / var(--tw-text-opacity)) !important; +} +.tw-text-dark { + --tw-text-opacity: 1 !important; + color: rgb(38 38 38 / var(--tw-text-opacity)) !important; +} +.tw-text-light { + --tw-text-opacity: 1 !important; + color: rgb(238 239 233 / var(--tw-text-opacity)) !important; +} +.tw-opacity-0 { + opacity: 0 !important; +} +.tw-opacity-100 { + opacity: 1 !important; +} +.tw-transition-\[width\,background-color\,color\] { + transition-property: width,background-color,color !important; + transition-timing-function: cubic-bezier(0.4, 0, 0.2, 1) !important; + transition-duration: 150ms !important; +} +.tw-transition-all { + transition-property: all !important; + transition-timing-function: cubic-bezier(0.4, 0, 0.2, 1) !important; + transition-duration: 150ms !important; +} +.tw-transition-opacity { + transition-property: opacity !important; + transition-timing-function: cubic-bezier(0.4, 0, 0.2, 1) !important; + transition-duration: 150ms !important; +} +.tw-duration-300 { + 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opacity: 1 !important; +} +.tw-transition-\[width\,background-color\,color\] { + transition-property: width,background-color,color !important; + transition-timing-function: cubic-bezier(0.4, 0, 0.2, 1) !important; + transition-duration: 150ms !important; +} +.tw-transition-all { + transition-property: all !important; + transition-timing-function: cubic-bezier(0.4, 0, 0.2, 1) !important; + transition-duration: 150ms !important; +} +.tw-transition-opacity { + transition-property: opacity !important; + transition-timing-function: cubic-bezier(0.4, 0, 0.2, 1) !important; + transition-duration: 150ms !important; +} +.tw-duration-300 { + transition-duration: 300ms !important; +} +.tw-duration-500 { + transition-duration: 500ms !important; +} +.tw-ease-in-out { + transition-timing-function: cubic-bezier(0.4, 0, 0.2, 1) !important; +} +.\[top\:-108px\] { + top: -108px !important; +} +.\[top\:0px\] { + top: 0px !important; +} +.\[transition\:top_500ms_cubic-bezier\(0\2c 0\2c 0\2c 1\)\] { + 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    + + + + + diff --git a/ground-news-ext/src/popup.html b/ground-news-ext/src/popup.html new file mode 100644 index 0000000..bc3b623 --- /dev/null +++ b/ground-news-ext/src/popup.html @@ -0,0 +1,17 @@ + + + + diff --git a/ground_news.db b/ground_news.db new file mode 100644 index 0000000..a980163 Binary files /dev/null and b/ground_news.db differ diff --git a/ground_news.py b/ground_news.py new file mode 100644 index 0000000..4561e2e --- /dev/null +++ b/ground_news.py @@ -0,0 +1,559 @@ +""" +ground_news.py — Ground News article fetcher + local SQLite store + +Key design: + - RSC payload trick: send RSC: 1 header to get Next.js App Router data + - page_cache table: raw RSC payloads with TTL (don't re-fetch fresh pages) + - articles table: all extracted fields, categories merged across pages + - fetch_article(slug) — single article, rich data + - fetch_category(slug) — all stories on an interest page (~15 stories) + - fetch_all() — all known interest categories in parallel + - top_articles(n, days)— query DB for top-N by source_count +""" + +import re +import json +import time +import sqlite3 +import httpx +import concurrent.futures +from pathlib import Path +from db import get_conn, DBConn + +# --------------------------------------------------------------------------- +# Config +# --------------------------------------------------------------------------- + +DB_PATH = Path(__file__).parent / "ground_news.db" +BASE_URL = "https://ground.news" + +CACHE_TTL = { + "interest": 30 * 60, # category pages: 30 min + "article": 6 * 60 * 60, # single articles: 6 h +} + +HEADERS = { + "User-Agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36", + "Accept": "text/html,application/xhtml+xml", + "RSC": "1", + "Next-Router-State-Tree": ( + "%5B%22%22%2C%7B%22children%22%3A%5B%22__PAGE__%22%2C%7B%7D%5D%7D%2Cnull%2Cnull%2Ctrue%5D" + ), +} + +# All known interest slugs (auto-discovered from ground.news homepage 2026-05-24) +KNOWN_INTERESTS: dict[str, str] = { + "europe": "Europe", + "europe-economy": "Europe Economy", + "european-politics": "European Politics", + "european-union": "European Union", + "european-security-and-nato": "European Security & NATO", + "uk-politics": "UK Politics", + "united-kingdom": "United Kingdom", + "international": "International", + "north-america": "North America", + "south-america": "South America", + "africa": "Africa", + "asia": "Asia", + "australia": "Australia", + "us-politics": "US Politics", + "united-states": "United States", + "donald-trump": "Donald Trump", + "trump-administration": "Trump Administration", + "israeli-palestinian-conflict": "Israeli-Palestinian Conflict", + "business-and-markets": "Business & Markets", + "premier-league": "Premier League", + "soccer": "Soccer", + "memorial-day": "Memorial Day", + # Financial / C25 relevant categories + "pharma": "Pharmaceuticals", + "energy": "Energy", + "renewable-energy": "Renewable Energy", + "denmark": "Denmark", + "finance": "Finance", + "corporate": "Corporate", + "technology": "Technology", + "climate-change": "Climate Change", + "shipping": "Shipping", + # Danish/Nordic specific + "biotech": "Biotech", + "healthcare": "Healthcare", + "pharmaceutical": "Pharmaceutical", + "nordic": "Nordic", + "scandinavia": "Scandinavia", + "denmark-economy": "Denmark Economy", + "danish-economy": "Danish Economy", + "global-economy": "Global Economy", + "global-markets": "Global Markets", + "stock-market": "Stock Market", + "investing": "Investing", + "clean-energy": "Clean Energy", + "logistics": "Logistics", + "diabetes": "Diabetes", +} + +# --------------------------------------------------------------------------- +# Database +# --------------------------------------------------------------------------- + +def get_db() -> DBConn: + """Return a DBConn wrapper (Postgres or SQLite). Schema is managed by db.py.""" + return get_conn() + + +# --------------------------------------------------------------------------- +# HTTP fetch with cache +# --------------------------------------------------------------------------- + +def fetch_cached(db: DBConn, url: str, page_type: str = "interest") -> tuple[str, bool]: + """Return (content, from_cache). Re-fetches if stale per CACHE_TTL.""" + row = db.execute( + "SELECT content, fetched_at FROM page_cache WHERE url=?", (url,) + ).fetchone() + ttl = CACHE_TTL.get(page_type, 1800) + now = int(time.time()) + if row and (now - row["fetched_at"]) < ttl: + return row["content"], True + + r = httpx.get(url, headers=HEADERS, follow_redirects=True, timeout=20) + r.raise_for_status() + db.upsert( + "page_cache", "url", + ["url", "page_type", "fetched_at", "content"], + (url, page_type, now, r.text), + ) + db.commit() + return r.text, False + + +# --------------------------------------------------------------------------- +# RSC payload parsers +# --------------------------------------------------------------------------- + +# UUID v4 pattern +_UUID = re.compile(r"[0-9a-f]{8}-[0-9a-f]{4}-4[0-9a-f]{3}-[89ab][0-9a-f]{3}-[0-9a-f]{12}") + +# blindspotData — has coverageProfileStatement + coverageProfileType before the numbers +_BLIND = re.compile( + r'"blindspotData":\{[^}]{0,400}' # skip coverageProfileStatement, coverageProfileType + r'"leftPercent":([\d.]+),"rightPercent":([\d.]+),"centerPercent":([\d.]+),' + r'"leftSrcCount":(\d+),"rightSrcCount":(\d+),"cntrSrcCount":(\d+)' +) + +# Story anchor: start + title + slug + factuality (field order confirmed from RSC) +_STORY = re.compile( + r'"start":"(20\d{2}-[^"]+)",' + r'"title":"([^"]{10,200})",' + r'"slug":"([a-z0-9][a-z0-9_-]{15,})",' + r'"factuality":\{([^}]+)\}' +) + +# Escaped JSON string value +_JSON_STR = re.compile(r'"((?:[^"\\]|\\.)*)"') + + +def _decode(s: str) -> str: + """Decode a JSON-escaped string value.""" + try: + return json.loads(f'"{s}"') + except Exception: + return s + + +def parse_stories(data: str, category: str) -> list[dict]: + """Extract all story objects from an RSC payload.""" + stories = [] + for m in _STORY.finditer(data): + start, title, slug, fact_raw = m.group(1), m.group(2), m.group(3), m.group(4) + before = data[max(0, m.start() - 8000): m.start()] + after = data[m.end(): m.end() + 6000] + + # UUID — last v4 UUID found before the story anchor (the story's own id) + uuids = _UUID.findall(before[-4000:]) + story_id = uuids[-1] if uuids else None + + # blindspotData (comes before the anchor) + blind = _BLIND.search(before[-8000:]) + left_pct = right_pct = ctr_pct = None + left_cnt = right_cnt = ctr_cnt = None + if blind: + left_pct = float(blind.group(1)) # already 0-100 + right_pct = float(blind.group(2)) + ctr_pct = float(blind.group(3)) + left_cnt = int(blind.group(4)) + right_cnt = int(blind.group(5)) + ctr_cnt = int(blind.group(6)) + + # biasSourceCount + bsc = re.search(r'"biasSourceCount":(\d+)', before[-8000:]) + bias_src_count = int(bsc.group(1)) if bsc else 0 + + # overallBias score (-1 .. +1) + ob = re.search(r'"overallBias":([-\d.]+)', before[-8000:]) + overall_bias = float(ob.group(1)) if ob else None + + # blindspot label ("left"/"right"/"center") + bs = re.search(r'"blindspot":"(left|right|center|none)"', before[-8000:]) + blindspot = bs.group(1) if bs else None + + # description — allow JSON-escaped content + desc_m = re.search(r'"description":"((?:[^"\\]|\\.){0,600})"', before[-3000:]) + description = _decode(desc_m.group(1)) if desc_m else None + + # sourceCount (comes after the anchor in sources:[...]) + sc = re.search(r'"sourceCount":(\d+)', after) + source_count = int(sc.group(1)) if sc else 0 + + # factuality + factuality = {k: int(v) for k, v in re.findall(r'"(\w+)":(\d+)', fact_raw)} + + # Ground News interest UUIDs this story belongs to + int_m = re.search(r'"interests":\[([^\]]*)\]', before[-2000:]) + interests = _UUID.findall(int_m.group(1)) if int_m else [] + + stories.append({ + "slug": slug, + "story_id": story_id, + "title": _decode(title), + "description": description, + "start_date": start[:10], + "source_count": source_count, + "bias_src_count": bias_src_count, + "left_pct": left_pct, + "ctr_pct": ctr_pct, + "right_pct": right_pct, + "left_src_count": left_cnt, + "ctr_src_count": ctr_cnt, + "right_src_count":right_cnt, + "overall_bias": overall_bias, + "blindspot": blindspot, + "factuality": factuality, + "interests": interests, + "category": category, + }) + return stories + + +def parse_single_article(data: str, slug: str) -> dict: + """Richer extraction for a single article page (has wireStoryRefs etc).""" + def get(pattern, cast=str): + m = re.search(pattern, data) + try: + return cast(m.group(1)) if m else None + except Exception: + return None + + # story_id: UUID before the slug + id_m = re.search(r'"id":"([0-9a-f-]{36})"[^}]{0,200}"slug":"' + re.escape(slug), data, re.DOTALL) + story_id = id_m.group(1) if id_m else get(r'"id":"([0-9a-f-]{36})"') + + # Title — must come before wireStoryRefs + title_m = re.search(r'"title":"([^"]{10,200})"[^}]{0,100}"wireStoryRefs"', data, re.DOTALL) + title = _decode(title_m.group(1)) if title_m else get(r'"title":"([^"]{10,200})"') + + # blindspotData + blind = _BLIND.search(data) + + # Bias side breakdown + bias_breakdown = {} + for side in ("left", "center", "right"): + bm = re.search( + rf'"id":"{side}".*?"sourceCount":(\d+).*?"percent":(\d+)', + data, re.DOTALL + ) + if bm: + bias_breakdown[side] = {"sources": int(bm.group(1)), "percent": int(bm.group(2))} + + # factuality + fm = re.search(r'"factuality":\{([^}]+)\}', data) + factuality = {k: int(v) for k, v in re.findall(r'"(\w+)":(\d+)', fm.group(1))} if fm else {} + + desc_m = re.search(r'"description":"((?:[^"\\]|\\.){20,600})"', data) + + return { + "slug": slug, + "story_id": story_id, + "title": title, + "description": _decode(desc_m.group(1)) if desc_m else None, + "start_date": get(r'"start":"(20\d{2}-[^"]+)"'), + "source_count": get(r'"sourceCount":(\d+)', int), + "bias_src_count": get(r'"biasSourceCount":(\d+)', int), + "overall_bias": get(r'"overallBias":([-\d.]+)', float), + "blindspot": get(r'"blindspot":"(left|right|center|none)"'), + "left_pct": float(blind.group(1)) if blind else None, + "right_pct": float(blind.group(2)) if blind else None, + "ctr_pct": float(blind.group(3)) if blind else None, + "left_src_count": int(blind.group(4)) if blind else None, + "right_src_count": int(blind.group(5)) if blind else None, + "ctr_src_count": int(blind.group(6)) if blind else None, + "factuality": factuality, + "bias_breakdown": bias_breakdown, + } + + +# --------------------------------------------------------------------------- +# DB upsert +# --------------------------------------------------------------------------- + +def upsert_articles(db: DBConn, stories: list[dict]) -> int: + """Insert new / update existing articles. Returns count of new rows.""" + now = int(time.time()) + new = 0 + for s in stories: + row = db.execute( + "SELECT categories, first_seen FROM articles WHERE slug=?", (s["slug"],) + ).fetchone() + + cats = set((row["categories"] or "").split(",")) if row else set() + cats.discard("") + cats.add(s["category"]) + + if row: + db.execute( + """UPDATE articles SET + story_id=COALESCE(story_id, ?), + source_count=?, bias_src_count=?, + left_pct=?, ctr_pct=?, right_pct=?, + left_src_count=?, ctr_src_count=?, right_src_count=?, + overall_bias=?, blindspot=?, + description=COALESCE(description, ?), + categories=?, last_seen=? + WHERE slug=?""", + (s["story_id"], + s["source_count"], s["bias_src_count"], + s["left_pct"], s["ctr_pct"], s["right_pct"], + s["left_src_count"], s["ctr_src_count"], s["right_src_count"], + s["overall_bias"], s["blindspot"], + s["description"], + ",".join(sorted(cats)), now, + s["slug"]), + ) + else: + db.execute( + """INSERT INTO articles + (slug, story_id, title, description, start_date, + source_count, bias_src_count, + left_pct, ctr_pct, right_pct, + left_src_count, ctr_src_count, right_src_count, + overall_bias, blindspot, + factuality_json, interests_json, + categories, first_seen, last_seen) + VALUES (?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?)""", + (s["slug"], s["story_id"], s["title"], s["description"], s["start_date"], + s["source_count"], s["bias_src_count"], + s["left_pct"], s["ctr_pct"], s["right_pct"], + s["left_src_count"], s["ctr_src_count"], s["right_src_count"], + s["overall_bias"], s["blindspot"], + json.dumps(s["factuality"]), json.dumps(s["interests"]), + s["category"], now, now), + ) + new += 1 + db.commit() + return new + + +# --------------------------------------------------------------------------- +# Public API +# --------------------------------------------------------------------------- + +def fetch_article_text(slug: str, db: DBConn | None = None) -> str: + """ + Fetch full article RSC payload and return a clean text blob for NLP. + Extracts: main title + description + all source article headlines. + """ + own_db = db is None + if own_db: + db = get_db() + url = f"{BASE_URL}/article/{slug}" + data, _ = fetch_cached(db, url, "article") + if own_db: + db.close() + + parts: list[str] = [] + seen: set[str] = set() + + def add(text: str) -> None: + if text and len(text) > 20 and text not in seen: + seen.add(text) + parts.append(text) + + # Main title + for m in re.finditer(r'"title":"((?:[^"\\]|\\.){10,300})"', data): + t = _decode(m.group(1)) + if not re.search(r'Getty|AFP|\/AFP|PHOTO-TAG', t, re.I): + add(t) + + # Descriptions / excerpts + for pattern in [ + r'"description":"((?:[^"\\]|\\.){20,600})"', + r'"excerpt":"((?:[^"\\]|\\.){20,400})"', + r'"summary":"((?:[^"\\]|\\.){20,400})"', + ]: + for m in re.finditer(pattern, data): + t = _decode(m.group(1)) + if not re.search(r'Getty|AFP|PHOTO-TAG|Author:', t, re.I): + add(t) + + # Wire story / source article headlines + for m in re.finditer(r'"headline":"((?:[^"\\]|\\.){10,300})"', data): + add(_decode(m.group(1))) + + return " ".join(parts) + + +def fetch_article(slug: str, db: DBConn | None = None) -> dict: + """Fetch a single article page; optionally cache + store in DB.""" + own_db = db is None + if own_db: + db = get_db() + url = f"{BASE_URL}/article/{slug}" + data, _ = fetch_cached(db, url, "article") + result = parse_single_article(data, slug) + if own_db: + db.close() + return result + + +def _http_fetch_category( + category_slug: str, + *, + force: bool = False, +) -> tuple[str, list[dict], bool]: + """ + Fetch one category page via HTTP only. + Uses a per-thread DB connection (psycopg2 connections are not thread-safe). + Returns (slug, stories, from_cache). + """ + db = get_conn() + url = f"{BASE_URL}/interest/{category_slug}" + if force: + db.execute("DELETE FROM page_cache WHERE url=?", (url,)) + db.commit() + data, from_cache = fetch_cached(db, url, "interest") + db.close() + stories = parse_stories(data, category_slug) + return category_slug, stories, from_cache + + +def fetch_category( + category_slug: str, + db: DBConn, + *, + force: bool = False, +) -> tuple[list[dict], bool]: + """ + Fetch an interest category page. + Returns (stories, from_cache). + """ + _, stories, from_cache = _http_fetch_category(category_slug, force=force) + upsert_articles(db, stories) + return stories, from_cache + + +def fetch_all( + db: DBConn, + slugs: list[str] | None = None, + *, + force: bool = False, + workers: int = 12, +) -> dict[str, list[dict]]: + """ + Fetch all (or given) interest categories in parallel (HTTP only), + then upsert results serially into DB from the calling thread. + Returns {slug: [story, ...]} mapping. + """ + targets = slugs or list(KNOWN_INTERESTS.keys()) + results: dict[str, list[dict]] = {} + + with concurrent.futures.ThreadPoolExecutor(max_workers=workers) as ex: + futs = {ex.submit(_http_fetch_category, s, force=force): s for s in targets} + for f in concurrent.futures.as_completed(futs): + slug = futs[f] + try: + _, stories, cached = f.result() + upsert_articles(db, stories) # DB write in main thread + results[slug] = stories + icon = "💾" if cached else "🌐" + print(f" {icon} {slug:<38} {len(stories):2} stories") + except Exception as e: + print(f" ✗ {slug:<38} ERROR: {e}") + results[slug] = [] + + return results + + +def top_articles( + db: DBConn, + limit: int = 30, + days: int | None = 2, + min_sources: int = 0, +) -> list[sqlite3.Row]: + """Query DB for top articles by source_count.""" + where = "WHERE source_count >= ?" + params: list = [min_sources] + if days is not None: + where += " AND start_date >= date('now', ?)" + params.append(f"-{days} days") + return db.execute( + f"SELECT * FROM articles {where} ORDER BY source_count DESC LIMIT ?", + (*params, limit), + ).fetchall() + + +# --------------------------------------------------------------------------- +# Display +# --------------------------------------------------------------------------- + +def print_top(rows: list[sqlite3.Row], header: str = "Top artikler") -> None: + print(f"\n{'='*76}") + print(f" {header} ({len(rows)} artikler)") + print(f"{'='*76}\n") + for i, a in enumerate(rows, 1): + bias = "" + if a["left_pct"] is not None: + bias = f" L{a['left_pct']:.0f}% C{a['ctr_pct']:.0f}% R{a['right_pct']:.0f}%" + cats = (a["categories"] or "").replace(",", " · ") + ob = f" bias={a['overall_bias']:+.2f}" if a["overall_bias"] is not None else "" + bs = f" blindspot={a['blindspot']}" if a["blindspot"] else "" + print(f"{i:2}. [{a['source_count']:4} src{bias}{ob}{bs}] [{a['start_date']}]") + print(f" {a['title'][:80]}") + if a["description"]: + print(f" {a['description'][:90]}") + print(f" [{cats}]") + print(f" /article/{a['slug']}") + print() + + +# --------------------------------------------------------------------------- +# CLI +# --------------------------------------------------------------------------- + +if __name__ == "__main__": + import sys + + db = get_db() + + if len(sys.argv) >= 2 and sys.argv[1] == "article": + slug = sys.argv[2] + url = f"{BASE_URL}/article/{slug}" + data, cached = fetch_cached(db, url, "article") + result = parse_single_article(data, slug) + print(f"({'cached' if cached else 'fetched'})") + print(json.dumps(result, indent=2, ensure_ascii=False)) + + elif len(sys.argv) >= 2 and sys.argv[1] == "category": + slug = sys.argv[2] + stories, cached = fetch_category(slug, db) + print(f"({'cached' if cached else 'fetched'}) {len(stories)} stories\n") + for s in sorted(stories, key=lambda x: x["source_count"], reverse=True): + print(f" [{s['source_count']:4} src] {s['title'][:70]}") + + else: + force = "--force" in sys.argv + days = 3 + print(f"Fetching all {len(KNOWN_INTERESTS)} categories (force={force})…\n") + fetch_all(db, force=force) + rows = top_articles(db, limit=30, days=days) + print_top(rows, f"Top 30 – seneste {days} dage") + + db.close() diff --git a/logs/dashboard.log b/logs/dashboard.log new file mode 100644 index 0000000..41abee0 --- /dev/null +++ b/logs/dashboard.log @@ -0,0 +1,35 @@ +nohup: ignorerer inddata + + MoneyMaker Dashboard → http://localhost:5001 + + * Serving Flask app 'dashboard' + * Debug mode: off +WARNING: This is a development server. Do not use it in a production deployment. Use a production WSGI server instead. + * Running on all addresses (0.0.0.0) + * Running on http://127.0.0.1:5001 + * Running on http://192.168.15.40:5001 +Press CTRL+C to quit +127.0.0.1 - - [26/May/2026 22:02:50] "GET /health HTTP/1.1" 200 - +127.0.0.1 - - [26/May/2026 22:02:58] "GET / HTTP/1.1" 200 - +127.0.0.1 - - [26/May/2026 22:05:52] "GET / HTTP/1.1" 200 - +127.0.0.1 - - [26/May/2026 22:06:00] "GET / HTTP/1.1" 200 - +127.0.0.1 - - [26/May/2026 22:06:01] "GET /favicon.ico HTTP/1.1" 404 - +127.0.0.1 - - [26/May/2026 22:07:01] "GET / HTTP/1.1" 200 - +127.0.0.1 - - [26/May/2026 22:08:02] "GET / HTTP/1.1" 200 - +127.0.0.1 - - [26/May/2026 22:09:02] "GET / HTTP/1.1" 200 - +127.0.0.1 - - [26/May/2026 22:10:03] "GET / HTTP/1.1" 200 - +127.0.0.1 - - [26/May/2026 22:11:04] "GET / HTTP/1.1" 200 - +127.0.0.1 - - [26/May/2026 22:12:04] "GET / HTTP/1.1" 200 - +127.0.0.1 - - [26/May/2026 22:13:05] "GET / HTTP/1.1" 200 - +127.0.0.1 - - [26/May/2026 22:14:05] "GET / HTTP/1.1" 200 - +127.0.0.1 - - [26/May/2026 22:15:06] "GET / HTTP/1.1" 200 - +127.0.0.1 - - [26/May/2026 22:16:06] "GET / HTTP/1.1" 200 - +127.0.0.1 - - [26/May/2026 22:17:07] "GET / HTTP/1.1" 200 - +127.0.0.1 - - [26/May/2026 22:18:08] "GET / HTTP/1.1" 200 - +127.0.0.1 - - [26/May/2026 22:18:32] "GET / HTTP/1.1" 200 - +127.0.0.1 - - [26/May/2026 22:18:33] "GET /favicon.ico HTTP/1.1" 404 - +127.0.0.1 - - [26/May/2026 22:19:08] "GET / HTTP/1.1" 200 - +127.0.0.1 - - [26/May/2026 22:19:34] "GET / HTTP/1.1" 200 - +127.0.0.1 - - [26/May/2026 22:20:09] "GET / HTTP/1.1" 200 - +127.0.0.1 - - [26/May/2026 22:20:36] "GET / HTTP/1.1" 200 - +127.0.0.1 - - [26/May/2026 22:21:09] "GET / HTTP/1.1" 200 - diff --git a/logs/runner_2026-05-26.log b/logs/runner_2026-05-26.log new file mode 100644 index 0000000..61ece28 --- /dev/null +++ b/logs/runner_2026-05-26.log @@ -0,0 +1,224 @@ + +════════════════════════════════════════════════════════════ + MONEYMAKER RUNNER · 2026-05-26 20:03 UTC + Mode: LIVE · DB: postgres +════════════════════════════════════════════════════════════ + + Schema initialiseret (postgres) +[runner] Henter Ground News … + 🌐 north-america 15 stories + 🌐 international 15 stories + 🌐 europe-economy 15 stories + 🌐 asia 15 stories + 🌐 europe 15 stories + 🌐 european-security-and-nato 15 stories + 🌐 africa 15 stories + 🌐 european-union 15 stories + 🌐 european-politics 15 stories + 🌐 south-america 12 stories + 🌐 united-kingdom 15 stories + 🌐 uk-politics 15 stories + 🌐 trump-administration 0 stories + 🌐 donald-trump 15 stories + 🌐 israeli-palestinian-conflict 15 stories + 🌐 australia 15 stories + 🌐 united-states 0 stories + 🌐 premier-league 3 stories + 🌐 soccer 13 stories + 🌐 pharma 14 stories + 🌐 business-and-markets 15 stories + 🌐 us-politics 0 stories + 🌐 memorial-day 14 stories + 🌐 energy 0 stories + 🌐 renewable-energy 14 stories + 🌐 technology 0 stories + 🌐 shipping 0 stories + 🌐 nordic 0 stories + 🌐 pharmaceutical 0 stories + 🌐 scandinavia 0 stories + 🌐 global-economy 0 stories + 🌐 danish-economy 0 stories + 🌐 corporate 0 stories + 🌐 denmark 14 stories + 🌐 climate-change 15 stories + 🌐 finance 15 stories + 🌐 biotech 9 stories + 🌐 global-markets 0 stories + 🌐 stock-market 0 stories + 🌐 logistics 0 stories + 🌐 clean-energy 0 stories + 🌐 healthcare 14 stories + 🌐 denmark-economy 13 stories + 🌐 investing 13 stories + 🌐 diabetes 13 stories + +{'north-america': [{'slug': 'federal-court-blocks-alabama-plan-for-new-congressional-districts-that-could-help-republicans_59ebf8', 'story_id': 'a0d64e37-733e-4ad9-a3ed-4a72ad3d60f7', 'title': 'Federal court blocks Alabama plan for new congressional districts that could help Republicans', 'description': 'Rally over voting rights and redistricting outside the state capitol in Montgomery', 'start_date': '2026-05-26', 'source_count': 127, 'bias_src_count': 115, 'left_pct': 37.0, 'ctr_pct': 45.0, 'right_pct': 18.0, 'left_src_count': 42, 'ctr_src_count': 52, 'right_src_count': 21, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 1, 'low': 5, 'mixed': 7, 'high': 61, 'unknown': 13, 'veryHigh': 40}, 'interests': [], 'category': 'north-america'}, {'slug': 'massie-teases-2028-comeback-after-primary-loss-to-trump-backed-challenger', 'story_id': '61695d37-7f99-48b7-a180-7cf4ec8a84df', 'title': 'Massie teases 2028 comeback after primary loss to Trump-backed challenger', 'description': 'U.S. House Judiciary Committee hearing on "Oversight of the Department of Homeland Security" in Washington', 'start_date': '2026-05-26', 'source_count': 64, 'bias_src_count': 59, 'left_pct': 14.0, 'ctr_pct': 49.0, 'right_pct': 37.0, 'left_src_count': 8, 'ctr_src_count': 29, 'right_src_count': 22, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 2, 'low': 7, 'mixed': 10, 'high': 22, 'unknown': 5, 'veryHigh': 18}, 'interests': [], 'category': 'north-america'}, {'slug': 'house-democrat-trashes-graham-platner-over-disqualifying-nazi-tattoo-scandal', 'story_id': '79cc11c0-7538-495f-acee-5cf10462a697', 'title': 'House Democrat Trashes Graham Platner Over ‘Disqualifying’ Nazi Tattoo Scandal', 'description': 'Rep. Jake Auchincloss (D-MA) trashed his party’s presumptive nominee for U.S. Senate in Maine, Graham Platner, on Monday, calling the Democratic candidate’s Nazi tattoo scandal and his claims about it “personally disqualifying.” The controversy stems from reporting last year that Platner had a tattoo on his chest of a Nazi SS “Totenkopf” symbol. Platner has since covered the tattoo and denied knowingly displaying Nazi imagery, saying he got the …', 'start_date': '2026-05-26', 'source_count': 16, 'bias_src_count': 15, 'left_pct': 27.0, 'ctr_pct': 0.0, 'right_pct': 73.0, 'left_src_count': 4, 'ctr_src_count': 0, 'right_src_count': 11, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 4, 'mixed': 6, 'high': 5, 'unknown': 1, 'veryHigh': 0}, 'interests': ['06cc1372-98e9-4bc7-b45f-8deeca5bdc9a', '3d3b1f47-100d-4ac4-a8b7-62d7e665387d', 'db7cfba7-1b75-46e6-be73-dcb6b70a5920', 'd2f7b87a-8584-494a-9477-7d67249019b5', 'b8484bb3-a1dc-42c7-bd10-40f15538b7d4', '4c181e46-c613-47ec-91ff-b62687777645', 'bfc08141-5cee-4b73-9661-2c5ac69ec246', '18236d35-9ece-41dd-8ec5-cc97379f699c', '79cc11c0-7538-495f-acee-5cf10462a697'], 'category': 'north-america'}, {'slug': 'house-democrat-trashes-graham-platner-over-disqualifying-nazi-tattoo-scandal', 'story_id': '79cc11c0-7538-495f-acee-5cf10462a697', 'title': 'House Democrat Trashes Graham Platner Over ‘Disqualifying’ Nazi Tattoo Scandal', 'description': 'Rep. Jake Auchincloss (D-MA) trashed his party’s presumptive nominee for U.S. Senate in Maine, Graham Platner, on Monday, calling the Democratic candidate’s Nazi tattoo scandal and his claims about it “personally disqualifying.” The controversy stems from reporting last year that Platner had a tattoo on his chest of a Nazi SS “Totenkopf” symbol. 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Ukrainian interception now claims 95% of the\xa0Shaheds\xa0— and the …", 'start_date': '2026-05-25', 'source_count': 13, 'bias_src_count': 6, 'left_pct': 17.0, 'ctr_pct': 66.0, 'right_pct': 17.0, 'left_src_count': 1, 'ctr_src_count': 4, 'right_src_count': 1, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 1, 'mixed': 1, 'high': 3, 'unknown': 8, 'veryHigh': 0}, 'interests': ['d2b91657-d8ef-458d-817d-bb56cd54cb40', '62893d4f-91d0-45f1-be96-a3a0bf138aad'], 'category': 'european-security-and-nato'}, {'slug': 'nato-ministers-meet-as-us-plans-to-pull-away-from-european-security', 'story_id': 'edc16ca4-c5d7-496d-b08c-bffa9252ca3e', 'title': 'NATO ministers meet as US plans to pull away from European security', 'description': "The summit will focus on the Trump administration's plans to withdraw guarantees of support for European security architecture – even in wartime – and the depletion of the alliance's critical weapons stocks due to the ongoing war in Iran.", 'start_date': '2026-05-21', 'source_count': 14, 'bias_src_count': 9, 'left_pct': 11.0, 'ctr_pct': 33.0, 'right_pct': 56.0, 'left_src_count': 1, 'ctr_src_count': 3, 'right_src_count': 5, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 2, 'high': 4, 'unknown': 5, 'veryHigh': 3}, 'interests': ['d2b91657-d8ef-458d-817d-bb56cd54cb40', '501ccfc6-defc-423f-8f2b-2dcbc5b8f939', 'd2f7b87a-8584-494a-9477-7d67249019b5', 'f0f7afe5-2e56-4ad5-98e8-ff5ca5b196a8', '97abb29d-c5b9-432d-a289-ccf99d947438', '258b5d45-8451-4aba-8ec3-44b37bf614ef', 'e88365bb-5465-48d0-8788-11d550b26aa1', 'edc16ca4-c5d7-496d-b08c-bffa9252ca3e'], 'category': 'european-security-and-nato'}, {'slug': 'downplaying-the-uss-confusing-nato-moves', 'story_id': 'e88365bb-5465-48d0-8788-11d550b26aa1', 'title': 'NATO Allies Bewildered by Trump’s About-Face on US Troop Moves in Europe', 'description': 'HELSINGBORG, Swede— NATO allies and defense officials expressed bewilderment Friday at U.S. President Donald Trump’s announcement that he would send 5,000 U.S. troops to Poland just weeks after ordering the same number of forces pulled out of Europe. 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'trinity-metals-launches-deep-drilling-at-nyakabingo-mine', 'story_id': 'b05f75ea-4fb3-476c-89e2-3fce9e860f59', 'title': 'Rwanda: Trinity Metals Launches Deep Drilling At Nyakabingo Mine', 'description': 'Orange is backing a new 20,000-kilometer subsea cable that will connect Nigeria and almost 20 other countries across Africa and Europe, as demand for data and cloud services rises across the continent.', 'start_date': '2026-05-26', 'source_count': 2, 'bias_src_count': 1, 'left_pct': 0.0, 'ctr_pct': 100.0, 'right_pct': 0.0, 'left_src_count': 0, 'ctr_src_count': 1, 'right_src_count': 0, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 0, 'high': 1, 'unknown': 1, 'veryHigh': 0}, 'interests': ['d02e2acc-2d6c-46c1-b3d2-a968a70f66f6', 'b05f75ea-4fb3-476c-89e2-3fce9e860f59'], 'category': 'africa'}, {'slug': 'hearts-of-oak-part-ways-with-head-coach-didi-dramani', 'story_id': '52eefa3c-5907-4f96-bb9b-25630a49d519', 'title': 'Hearts of Oak Part Ways with 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'new-operation-for-illegal-subsidies-from-opekepe-the-press-project-news-analysis-radio-television', 'story_id': '789add1c-7036-46cb-80dd-b871b799493a', 'title': 'Greek police arrest 20 in Crete over suspected EU farm subsidies fraud', 'description': 'Greek police arrested 20 people on the \u200cisland of Crete on Monday, saying they had dismantled a criminal gang suspected of defrauding the European Union of agricultural subsidies - the latest case in a growing \u200bscandal that has shaken the government.', 'start_date': '2026-05-25', 'source_count': 26, 'bias_src_count': 15, 'left_pct': 27.0, 'ctr_pct': 33.0, 'right_pct': 40.0, 'left_src_count': 4, 'ctr_src_count': 5, 'right_src_count': 6, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 1, 'high': 12, 'unknown': 11, 'veryHigh': 2}, 'interests': [], 'category': 'european-union'}, {'slug': 'eu-moves-to-sanction-iran-over-hormuz-blockade', 'story_id': 'de1cae42-ce45-4691-a9c5-c6d6d583a3be', 'title': 'EU Moves to Sanction Iran over Hormuz Blockade', 'description': 'Vessels in the Strait of Hormuz are visible near the beach of Bandar Abbas', 'start_date': '2026-05-24', 'source_count': 27, 'bias_src_count': 14, 'left_pct': 7.0, 'ctr_pct': 50.0, 'right_pct': 43.0, 'left_src_count': 1, 'ctr_src_count': 7, 'right_src_count': 6, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 4, 'high': 7, 'unknown': 13, 'veryHigh': 3}, 'interests': [], 'category': 'european-union'}, {'slug': 'germany-and-ukraine-expand-arms-cooperation', 'story_id': '789add1c-7036-46cb-80dd-b871b799493a', 'title': 'Germany, Ukraine Launch Brave Germany Defense Tech Program', 'description': 'German Defence Minister Pistorius and Ukrainian counterpart Fedorov attend a press conference in Kyiv', 'start_date': '2026-05-14', 'source_count': 16, 'bias_src_count': 8, 'left_pct': 50.0, 'ctr_pct': 37.0, 'right_pct': 13.0, 'left_src_count': 4, 'ctr_src_count': 3, 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Piatigorets as the New People's Deputy From “European Solidarity”. What Is Known About Him", 'description': 'The Greek police announced on Tuesday that 39 people were arrested in an extensive investigation carried out in Greece and at European level on the hijacking of millions of European Union (EU) agricultural subsidies, reports Agerpres with reference to AFP.', 'start_date': '2026-05-26', 'source_count': 4, 'bias_src_count': 2, 'left_pct': 100.0, 'ctr_pct': 0.0, 'right_pct': 0.0, 'left_src_count': 2, 'ctr_src_count': 0, 'right_src_count': 0, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 0, 'high': 0, 'unknown': 4, 'veryHigh': 0}, 'interests': ['5e3bf3aa-d32b-49a7-922d-4c9902d9c708', 'c915b65f-ee30-471f-9dac-5dca2e4bb3b7'], 'category': 'european-union'}, {'slug': 'von-der-leyen-warns-that-the-incursion-of-drones-into-the-baltics-may-extend-to-the-rest-of-europe', 'story_id': 'edc16ca4-c5d7-496d-b08c-bffa9252ca3e', 'title': 'Baltic Leaders Meet Von Der Leyen, Urge EU Actions Not Words over Drone Incursions', 'description': 'Lithuanian President Gitanas Nausėda said Tuesday that amid increasing violations of Baltic airspace, the European Union...', 'start_date': '2026-05-26', 'source_count': 11, 'bias_src_count': 2, 'left_pct': 100.0, 'ctr_pct': 0.0, 'right_pct': 0.0, 'left_src_count': 2, 'ctr_src_count': 0, 'right_src_count': 0, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 0, 'high': 5, 'unknown': 5, 'veryHigh': 1}, 'interests': ['0c91be9e-ee0a-4ab5-bc44-0a5cc7e8c904', '22c79489-63e8-41e0-9bde-6a857e9e56af', '5e3bf3aa-d32b-49a7-922d-4c9902d9c708', 'f0f7afe5-2e56-4ad5-98e8-ff5ca5b196a8', '145a4015-3c47-4c5c-bd36-f1101278672e', '4c87856e-b565-494e-9878-b7fa2719b8ab', 'edc16ca4-c5d7-496d-b08c-bffa9252ca3e'], 'category': 'european-union'}, {'slug': 'norway-has-summoned-russian-diplomat-over-threats-of-further-strikes-on-kyiv', 'story_id': '119f182a-da59-4600-bda5-aa50655f40ab', 'title': 'Diplomatic Tensions Escalate: Russia Faces International Summons Over Kyiv Threats', 'description': 'Germany, Norway, and the Netherlands, along with the European Union, have summoned Russian representatives over threats to strike Kyiv, urging foreigners to leave. The EU condemned these threats, maintaining their presence in Kyiv. 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War in the Middle East: Israel Claims to Have Targeted the New Head of Hamas' Military Wing in Gaza", 'description': 'Welcome to this live on Tuesday 25 May dedicated to the current situation of the conflict in the Middle East.', 'start_date': '2026-05-26', 'source_count': 4, 'bias_src_count': 1, 'left_pct': 100.0, 'ctr_pct': 0.0, 'right_pct': 0.0, 'left_src_count': 1, 'ctr_src_count': 0, 'right_src_count': 0, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 0, 'high': 1, 'unknown': 3, 'veryHigh': 0}, 'interests': ['383dcfb4-b5b3-4c6f-92e4-6488f6a4b2f0', 'e697a499-e038-4ef3-9cca-141352b35790', 'b92721ab-2b31-42f0-b185-6208ea3131fb', 'd583869e-e141-4843-9027-26e117a22f19'], 'category': 'israeli-palestinian-conflict'}, {'slug': 'idf-destroys-11-km-of-hamas-tunnels-in-beit-hanoun', 'story_id': '402eb318-eb5c-4198-9db6-c5e6b53ec35b', 'title': "IDF Destroys 11km. of Hamas Terror Tunnels Under Gaza's Beit Hanun", 'description': 'During these operations, troops also dismantled above-ground terror infrastructure and eliminated several Hamas operatives.', 'start_date': '2026-05-26', 'source_count': 3, 'bias_src_count': 1, 'left_pct': 100.0, 'ctr_pct': 0.0, 'right_pct': 0.0, 'left_src_count': 1, 'ctr_src_count': 0, 'right_src_count': 0, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 1, 'high': 1, 'unknown': 1, 'veryHigh': 0}, 'interests': ['e697a499-e038-4ef3-9cca-141352b35790', '402eb318-eb5c-4198-9db6-c5e6b53ec35b'], 'category': 'israeli-palestinian-conflict'}, {'slug': 'israel-intensifies-its-attacks-on-lebanon-while-negotiating-a-peace-agreement-in-qatar', 'story_id': '7160122b-26b8-4d7b-ad97-a84171560a6e', 'title': 'Israel Intensifies Attacks in Lebanon as Iran Talks Stall', 'description': 'As top Iranian negotiators are in Qatar to discuss aspects of a potential deal, US forces say they launched strikes on sites in southern Iran.', 'start_date': '2026-05-26', 'source_count': 4, 'bias_src_count': 1, 'left_pct': 100.0, 'ctr_pct': 0.0, 'right_pct': 0.0, 'left_src_count': 1, 'ctr_src_count': 0, 'right_src_count': 0, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 0, 'high': 2, 'unknown': 1, 'veryHigh': 1}, 'interests': ['6701a13e-2285-4934-a4e0-7d80a539c00d', 'd2f7b87a-8584-494a-9477-7d67249019b5', '0715057b-eafc-4b20-bf3b-4558447d3dd5', '7160122b-26b8-4d7b-ad97-a84171560a6e'], 'category': 'israeli-palestinian-conflict'}, {'slug': 'netanyahu-orders-more-strikes-on-hezbollah-as-israel-hits-lebanon_87b16b', 'story_id': '6f29309a-3358-4750-88ca-cbd75f10c351', 'title': 'Netanyahu Orders More Strikes on Hezbollah as Israel Hits Lebanon', 'description': 'Plumes of smoke billow from southern Lebanon following Israeli strikes, as seen from Marjayoun', 'start_date': '2026-05-26', 'source_count': 180, 'bias_src_count': 0, 'left_pct': None, 'ctr_pct': None, 'right_pct': None, 'left_src_count': None, 'ctr_src_count': None, 'right_src_count': None, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 1, 'low': 7, 'mixed': 15, 'high': 67, 'unknown': 61, 'veryHigh': 29}, 'interests': [], 'category': 'israeli-palestinian-conflict'}, {'slug': 'israeli-bombings-in-lebanon-kill-at-least-15-people', 'story_id': '0715057b-eafc-4b20-bf3b-4558447d3dd5', 'title': 'Israeli strike on village in eastern Lebanon kills 12, as Israel calls up more troops there', 'description': 'Israeli soldiers near the Israel-Lebanon border, as seen from Israel', 'start_date': '2026-05-26', 'source_count': 66, 'bias_src_count': 53, 'left_pct': 64.0, 'ctr_pct': 27.0, 'right_pct': 9.0, 'left_src_count': 34, 'ctr_src_count': 14, 'right_src_count': 5, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 2, 'high': 37, 'unknown': 13, 'veryHigh': 14}, 'interests': [], 'category': 'israeli-palestinian-conflict'}, {'slug': 'escalation-continues-idf-strikes-over-100-hezbollah-targets-across-lebanon', 'story_id': 'cd32a7ad-3aab-4b95-9bf0-df32abb17ae1', 'title': 'IDF Strikes 100-Plus Hezbollah Sites in Southern Lebanon', 'description': 'IDF strikes 100-plus Hezbollah sites in Southern Lebanon. One operation consisted of several strikes carried out within seconds. The post IDF strikes 100-plus Hezbollah sites in Southern Lebanon appeared first on Jerusalem World News.', 'start_date': '2026-05-26', 'source_count': 3, 'bias_src_count': 3, 'left_pct': 0.0, 'ctr_pct': 0.0, 'right_pct': 100.0, 'left_src_count': 0, 'ctr_src_count': 0, 'right_src_count': 3, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 1, 'mixed': 2, 'high': 0, 'unknown': 0, 'veryHigh': 0}, 'interests': ['6701a13e-2285-4934-a4e0-7d80a539c00d', 'cd32a7ad-3aab-4b95-9bf0-df32abb17ae1'], 'category': 'israeli-palestinian-conflict'}, {'slug': 'us-sinks-iranian-ships-as-tensions-escalate-further', 'story_id': 'a4843080-7e15-4762-993b-638b159bf531', 'title': 'U.S. sinks Iranian ships as tensions escalate further', 'description': 'U.S. sinks Iranian ships amid tensions, Israel strikes Hezbollah as Netanyahu vows to continue military pressure [This post contains video, click to play] In Short:\n– The U.S. destroyed two Iranian ships, prompting Iran to launch missiles at U.S. aircraft.\n– Israel conducted airstrikes against Hezbollah, with tensions remaining high despite a fragile ceasefire. Tensions escalated when the U.S. destroyed two ships from the Islamic Revolutionary G…', 'start_date': '2026-05-26', 'source_count': 3, 'bias_src_count': 3, 'left_pct': 0.0, 'ctr_pct': 0.0, 'right_pct': 100.0, 'left_src_count': 0, 'ctr_src_count': 0, 'right_src_count': 3, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 0, 'high': 0, 'unknown': 3, 'veryHigh': 0}, 'interests': ['383dcfb4-b5b3-4c6f-92e4-6488f6a4b2f0', '6701a13e-2285-4934-a4e0-7d80a539c00d', 'f34f83df-6213-4eb8-ab32-aba9d63a6ea7', 'a4843080-7e15-4762-993b-638b159bf531'], 'category': 'israeli-palestinian-conflict'}, {'slug': 'midnight-meeting-affair-pmo-chief-of-staff-braverman-summoned-for-pre-indictment-hearing', 'story_id': '0715057b-eafc-4b20-bf3b-4558447d3dd5', 'title': "'Midnight Meeting' Affair: PMO chief-of-staff Braverman summoned for pre-indictment hearing", 'description': 'At the heart of the matter, for which the prosecution is considering bringing criminal charges against him, is the "midnight meeting" affair, a sub-chapter in the larger "Bild" and "Qatargate" cases.', 'start_date': '2026-05-26', 'source_count': 4, 'bias_src_count': 3, 'left_pct': 0.0, 'ctr_pct': 0.0, 'right_pct': 100.0, 'left_src_count': 0, 'ctr_src_count': 0, 'right_src_count': 3, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 1, 'high': 2, 'unknown': 0, 'veryHigh': 1}, 'interests': ['383dcfb4-b5b3-4c6f-92e4-6488f6a4b2f0', '453a847a-ac24-45d3-a937-63fc9d6a1318', '0715057b-eafc-4b20-bf3b-4558447d3dd5'], 'category': 'israeli-palestinian-conflict'}, {'slug': 'is-benjamin-netanyahu-dying-online-rumors-explode-after-israeli-pms-hospital-visit_c27f4a', 'story_id': '789add1c-7036-46cb-80dd-b871b799493a', 'title': "Is Benjamin Netanyahu Dying? 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Global drugmakers are stepping up their search for China‑developed experimental medicines as they cut costs ahead of patent expirations, with industry analysts predicting biotech licensing deals would surge to a fresh reco…", 'start_date': '2026-05-26', 'source_count': 1, 'bias_src_count': 0, 'left_pct': 0.0, 'ctr_pct': 100.0, 'right_pct': 0.0, 'left_src_count': 0, 'ctr_src_count': 1, 'right_src_count': 0, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 0, 'high': 0, 'unknown': 1, 'veryHigh': 0}, 'interests': ['c78f5f18-5fb1-492b-b01c-6be4635a37af', '51801138-bd6d-4461-934e-266bf4bcc468', '3592b7d3-7594-4116-9292-9316e878bb87', '789add1c-7036-46cb-80dd-b871b799493a'], 'category': 'pharma'}, {'slug': 'ema-backs-options-for-broadening-obesity-care-in-europe', 'story_id': '3592b7d3-7594-4116-9292-9316e878bb87', 'title': 'EMA Backs Options for Broadening Obesity Care in Europe', 'description': 'EMA has recommended Ablymico and Liraglutide STADA and an oral formulation of Wegovy, potentially expanding GLP-1 treatment options for diabetes and weight management across Europe.', 'start_date': '2026-05-26', 'source_count': 1, 'bias_src_count': 1, 'left_pct': 0.0, 'ctr_pct': 100.0, 'right_pct': 0.0, 'left_src_count': 0, 'ctr_src_count': 1, 'right_src_count': 0, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 0, 'high': 0, 'unknown': 0, 'veryHigh': 1}, 'interests': ['c4ddbb78-303f-486d-bbf6-0a10abf08025', '9c2707bd-8c25-4fde-8791-aa9db6d69091', '122e5e93-f38b-4316-8a48-bb005bbe3934', '3592b7d3-7594-4116-9292-9316e878bb87'], 'category': 'pharma'}, {'slug': 'lilly-announces-three-acquisitions-to-build-infectious-disease-portfolio_ef06f6', 'story_id': '789add1c-7036-46cb-80dd-b871b799493a', 'title': 'Eli Lilly Announces Acquisition of 3 Vaccine Makers in $4 Billion Deal', 'description': 'Eli Lilly announced Tuesday that it is acquiring Curevo Inc., LimmaTech Biologics AG and Vaccine Company, Inc., in deals totaling nearly $4 billion.', 'start_date': '2026-05-26', 'source_count': 13, 'bias_src_count': 0, 'left_pct': 17.0, 'ctr_pct': 66.0, 'right_pct': 17.0, 'left_src_count': 1, 'ctr_src_count': 4, 'right_src_count': 1, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 1, 'high': 2, 'unknown': 7, 'veryHigh': 3}, 'interests': ['c78f5f18-5fb1-492b-b01c-6be4635a37af', '501ccfc6-defc-423f-8f2b-2dcbc5b8f939', '3a6a010f-2401-45e4-932d-0da390bef402', 'a2fb5024-ec9b-4b21-b16b-0bdc8eb736fe', '4380ecaa-ae13-4c0b-a2da-5601cdff578a', '53fc70a8-aa98-4c46-858a-13a60aed6b6b', '56c3da0e-6503-4f1c-a21e-24d70482d5bc', '3592b7d3-7594-4116-9292-9316e878bb87', '789add1c-7036-46cb-80dd-b871b799493a'], 'category': 'pharma'}, {'slug': 'weaning-of-slimming-pens-requires-care-young-pan', 'story_id': '3592b7d3-7594-4116-9292-9316e878bb87', 'title': 'Weaning of Slimming Pens Requires Care – Young Pan', 'description': 'Agonists of GLP-1 and GIP, such as tirzepatide, semaglutide and liraglutide, changed the treatment of obesity by promoting significant weight loss, metabolic improvement and reduction of eating compulsion. 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The Memorial Day Holiday Travel Period began Friday at…', 'start_date': '2026-05-26', 'source_count': 2, 'bias_src_count': 3, 'left_pct': 0.0, 'ctr_pct': 100.0, 'right_pct': 0.0, 'left_src_count': 0, 'ctr_src_count': 3, 'right_src_count': 0, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 0, 'high': 0, 'unknown': 2, 'veryHigh': 0}, 'interests': ['dec611db-b3d8-4e22-aac2-78cebaac4949', 'a9092755-6e89-4bd3-84a8-429e4cf451b0'], 'category': 'memorial-day'}, {'slug': 'unofficial-start-to-summer-feeling-like-the-real-thing-in-omaha', 'story_id': '4d9b494f-09db-44f5-8b27-280f0e715cef', 'title': 'Unofficial start to summer feeling like the real thing in Omaha', 'description': "Memorial Day didn't disappoint as the unofficial start of the summer season as Omaha and eastern Nebraska saw highs in the upper 80s.", 'start_date': '2026-05-26', 'source_count': 5, 'bias_src_count': 3, 'left_pct': 0.0, 'ctr_pct': 67.0, 'right_pct': 33.0, 'left_src_count': 0, 'ctr_src_count': 2, 'right_src_count': 1, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 0, 'high': 3, 'unknown': 0, 'veryHigh': 2}, 'interests': ['dec611db-b3d8-4e22-aac2-78cebaac4949', '4d9b494f-09db-44f5-8b27-280f0e715cef'], 'category': 'memorial-day'}, {'slug': 'update-more-than-300-people-arrested-for-dui-in-ga-over-memorial-day-weekend', 'story_id': '683963b6-0e47-491a-bf09-9ab8f97b7db7', 'title': 'UPDATE: More than 300 people arrested for DUI in GA over Memorial Day weekend', 'description': 'During the Memorial Day holiday in Georgia, law enforcement made 329 DUI arrests while responding to over 700 distracted driving incidents, with a total of 153 injuries and 12 fatalities reported statewide. The Georgia Department of Public Safety emphasizes sober driving, seatbelt use, and road focus for safe travel.', 'start_date': '2026-05-26', 'source_count': 2, 'bias_src_count': 0, 'left_pct': 0.0, 'ctr_pct': 100.0, 'right_pct': 0.0, 'left_src_count': 0, 'ctr_src_count': 5, 'right_src_count': 0, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 0, 'high': 1, 'unknown': 1, 'veryHigh': 0}, 'interests': ['dec611db-b3d8-4e22-aac2-78cebaac4949', '683963b6-0e47-491a-bf09-9ab8f97b7db7'], 'category': 'memorial-day'}, {'slug': '300-ft-red-white-and-blue-drapes-hoover-dams-colossal-concrete-face', 'story_id': '69db9c6c-b61c-4d5b-8d42-77d825b312c1', 'title': 'NEW: Hoover Dam Transforms With Patriotic Display Amidst Freedom250 Controversy', 'description': 'The Hoover Dam recently transformed into a canvas of patriotism, showcasing a massive American flag illuminated by red and blue lights. This display marked the start of America250 celebrations, a notable initiative led by the Trump administration to commemorate the nation’s 250th anniversary. 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Reference: Indian Telecom Sector Flags Power Outages, Diesel Curbs, and Supply Chain Disruptions Diesel Supply Restrictions …', 'start_date': '2026-05-26', 'source_count': 1, 'bias_src_count': 0, 'left_pct': None, 'ctr_pct': None, 'right_pct': None, 'left_src_count': None, 'ctr_src_count': None, 'right_src_count': None, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 0, 'high': 0, 'unknown': 1, 'veryHigh': 0}, 'interests': ['b165331f-296a-4b71-a9b1-b3c1f4e32ac9', '6ad6a3be-a8a1-4c39-a559-6152a74f823e', '7abdb31b-bfda-4eaf-9c87-918bf927d427', '982ecb6a-587d-4b94-ae66-0c1f789c98da'], 'category': 'renewable-energy'}, {'slug': 'the-worlds-first-removable-solar-power-plant-on-a-working-rail-line_ebe4a6', 'story_id': '982ecb6a-587d-4b94-ae66-0c1f789c98da', 'title': 'The world’s first removable solar power plant on a working rail line', 'description': 'Read the full story from SCNF Group. SNCF Group is France’s largest electricity consumer of and second-largest property owner. To help meet its energy needs, the Group is developing projects to generate solar power on its land. This effort involves partnering with Swiss start-up Sun-Ways, which has invented movable solar panels that can be installed … Continue reading The world’s first removable solar power plant on a working rail line', 'start_date': '2026-05-26', 'source_count': 1, 'bias_src_count': 0, 'left_pct': None, 'ctr_pct': None, 'right_pct': None, 'left_src_count': None, 'ctr_src_count': None, 'right_src_count': None, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 0, 'high': 0, 'unknown': 1, 'veryHigh': 0}, 'interests': ['371a3886-2c44-402f-ba57-c10f9ff09b85', '6ad6a3be-a8a1-4c39-a559-6152a74f823e', '57d7c244-52db-4a19-a5d9-d339d948006c', '982ecb6a-587d-4b94-ae66-0c1f789c98da'], 'category': 'renewable-energy'}, {'slug': 'avoid-these-8-solar-mistakes-that-cut-your-power-output-in-half-i-learned-the-hard-way', 'story_id': '982ecb6a-587d-4b94-ae66-0c1f789c98da', 'title': 'Avoid these 8 solar mistakes that cut your power output in half - I learned the hard way', 'description': "Solar power can definitely save you money, but it requires a different mindset than with typical grid AC. 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Group revenues rose 3% year-on-year to PLN 3.6 billion (€844 million), while adjusted EBITDA increased 4.7% to PLN 847 million (€199 million), ahead of analyst expectations. The operator’s multiplay strategy continued to underpin performance. 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Analysts predict a potential long-term boom similar to what the coal industry experienced. 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KPI Green Energy Limited, a Gujarat-based solar and hybrid power generating company of KP Group, expects to launch the renewable infrastructure investment trust at the end of the 2027/2028 financial year, KP Group’s chairman and managing director,…', 'start_date': '2026-05-26', 'source_count': 1, 'bias_src_count': 0, 'left_pct': 0.0, 'ctr_pct': 100.0, 'right_pct': 0.0, 'left_src_count': 0, 'ctr_src_count': 1, 'right_src_count': 0, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 0, 'high': 1, 'unknown': 0, 'veryHigh': 0}, 'interests': ['6ad6a3be-a8a1-4c39-a559-6152a74f823e', '371a3886-2c44-402f-ba57-c10f9ff09b85', 'ddc54d20-1557-443c-8958-2f660363cf41', '982ecb6a-587d-4b94-ae66-0c1f789c98da'], 'category': 'renewable-energy'}, {'slug': 'hormuz-shutdown-sends-capital-flooding-back-into-renewables', 'story_id': '982ecb6a-587d-4b94-ae66-0c1f789c98da', 'title': 'Hormuz Shutdown Sends Capital Flooding Back Into Renewables', 'description': 'Concerns about energy security and the push in many countries to boost electrification to replace road transportation fuels are making clean energy investments hot again. 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The post Equip Capital scores 9.1x MOIC selling Ryde Technology to Goldman-led continuation fund appeared first on AltAssets Private Equity News.', 'start_date': '2026-05-26', 'source_count': 1, 'bias_src_count': 0, 'left_pct': None, 'ctr_pct': None, 'right_pct': None, 'left_src_count': None, 'ctr_src_count': None, 'right_src_count': None, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 0, 'high': 0, 'unknown': 1, 'veryHigh': 0}, 'interests': ['61144d05-c005-4f15-a586-0c75f6e390bc', '64a27664-38b0-46e2-9398-e59181b5487a', '99e4f405-330c-4bdc-b1b8-d77cba5b257b'], 'category': 'finance'}, {'slug': 'trst01-unveils-ai-native-carbon-intelligence-platform-across-india-singapore-and-the-gulf-for-the-global-south_e91e22', 'story_id': '789add1c-7036-46cb-80dd-b871b799493a', 'title': 'TRST01 Unveils AI native Carbon Intelligence Platform Across India, Singapore and the Gulf for the Global South', 'description': 'TRST01, a specialist carbon intelligence and digital MRV firm, today announced a structured three-hub platform designed to mobilise green finance and investment across the next generation of carbon markets. India provides the technology engine, Singapore the global carbon markets gateway, and Dubai the regional deployment and climate intelligence centre. The announcement coincides with the appointment of Dr. Ivano Iannelli as strategic lead for …', 'start_date': '2026-05-26', 'source_count': 1, 'bias_src_count': 0, 'left_pct': None, 'ctr_pct': None, 'right_pct': None, 'left_src_count': None, 'ctr_src_count': None, 'right_src_count': None, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 0, 'high': 0, 'unknown': 1, 'veryHigh': 0}, 'interests': ['50c390b1-848d-4d7d-bad7-e47fa44b685b', 'd02e2acc-2d6c-46c1-b3d2-a968a70f66f6', 'cde67e5f-402d-4aee-bbae-f4cf587c3c5d', '789add1c-7036-46cb-80dd-b871b799493a'], 'category': 'finance'}, {'slug': 'state-street-nyse-stt-hits-new-12-month-high-time-to-buy', 'story_id': '789add1c-7036-46cb-80dd-b871b799493a', 'title': 'State Street (NYSE:STT) Hits New 12-Month High - Time to Buy?', 'description': "State Street (NYSE:STT) Hits New 12-Month High - Here's Why", 'start_date': '2026-05-26', 'source_count': 1, 'bias_src_count': 0, 'left_pct': 0.0, 'ctr_pct': 100.0, 'right_pct': 0.0, 'left_src_count': 0, 'ctr_src_count': 1, 'right_src_count': 0, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 0, 'high': 1, 'unknown': 0, 'veryHigh': 0}, 'interests': ['50c390b1-848d-4d7d-bad7-e47fa44b685b', '789add1c-7036-46cb-80dd-b871b799493a'], 'category': 'finance'}, {'slug': 'bank-of-new-york-mellon-nyse-bny-reaches-new-1-year-high-still-a-buy', 'story_id': '789add1c-7036-46cb-80dd-b871b799493a', 'title': 'Bank of New York Mellon (NYSE:BNY) Reaches New 1-Year High - Still a Buy?', 'description': "State Street (NYSE:STT) Hits New 12-Month High - Here's Why", 'start_date': '2026-05-26', 'source_count': 1, 'bias_src_count': 0, 'left_pct': 0.0, 'ctr_pct': 100.0, 'right_pct': 0.0, 'left_src_count': 0, 'ctr_src_count': 1, 'right_src_count': 0, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 0, 'high': 1, 'unknown': 0, 'veryHigh': 0}, 'interests': ['a2fb5024-ec9b-4b21-b16b-0bdc8eb736fe', '50c390b1-848d-4d7d-bad7-e47fa44b685b', 'a15b3a6d-53a1-41fa-8d89-cd21af1db270', '789add1c-7036-46cb-80dd-b871b799493a'], 'category': 'finance'}, {'slug': 'cambrian-gives-some-250-high-schoolers-a-crash-course-in-business', 'story_id': '789add1c-7036-46cb-80dd-b871b799493a', 'title': 'Cambrian gives some 250 high schoolers a crash course in business', 'description': 'Students from nine Greater Sudbury high schools learned marketing, entrepreneurship, accounting and finance and business management, while given a chance to earn a $1,000 scholarship', 'start_date': '2026-05-26', 'source_count': 1, 'bias_src_count': 0, 'left_pct': 0.0, 'ctr_pct': 100.0, 'right_pct': 0.0, 'left_src_count': 0, 'ctr_src_count': 1, 'right_src_count': 0, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 0, 'high': 1, 'unknown': 0, 'veryHigh': 0}, 'interests': ['7e44d774-43a7-4317-9890-6d27b5260032', '50c390b1-848d-4d7d-bad7-e47fa44b685b', '5fecfea0-d501-4e2c-bfaf-d5896eabd2a3', '789add1c-7036-46cb-80dd-b871b799493a'], 'category': 'finance'}, {'slug': 'revel-to-merge-with-eqt-backed-voltera-uniting-ev-charging-networks', 'story_id': '789add1c-7036-46cb-80dd-b871b799493a', 'title': 'The EV Charging Sector Sees a Significant M&A Deal with Revel and Voltera Combining', 'description': '(Bloomberg) — Private equity-backed Voltera and Revel Transit Inc. have agreed to merge their electric-vehicle charging businesses to serve ride-hail cars and robotaxis across urban areas in the US.', 'start_date': '2026-05-26', 'source_count': 3, 'bias_src_count': 1, 'left_pct': 0.0, 'ctr_pct': 100.0, 'right_pct': 0.0, 'left_src_count': 0, 'ctr_src_count': 1, 'right_src_count': 0, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 0, 'high': 1, 'unknown': 1, 'veryHigh': 1}, 'interests': ['64a27664-38b0-46e2-9398-e59181b5487a', '967b8553-3f5d-43bf-9684-71c634b3195d', 'c0c6a84f-63f3-471f-99c0-f1a9d647c205', 'f2bbb6f9-0833-4a92-a229-397c2bd005a9', '2ae8dcd8-2059-4e45-b27a-508608423621', '789add1c-7036-46cb-80dd-b871b799493a'], 'category': 'finance'}, {'slug': 'kenya-lobby-seeks-overhaul-of-key-finance-bill-2026-clauses-over-economic-pressure-fears', 'story_id': '789add1c-7036-46cb-80dd-b871b799493a', 'title': 'Kenya: Lobby Seeks Overhaul of Key Finance Bill 2026 Clauses Over Economic Pressure Fears', 'description': 'Nairobi -- The Consumers Federation of Kenya (COFEK) has warned that several proposals in the Finance Bill 2026 could significantly raise the cost of living, weaken consumer protections and expose Kenya to regional trade disputes, as Parliament continues scrutiny of the tax measures ahead of the Third Reading.', 'start_date': '2026-05-26', 'source_count': 1, 'bias_src_count': 1, 'left_pct': 100.0, 'ctr_pct': 0.0, 'right_pct': 0.0, 'left_src_count': 1, 'ctr_src_count': 0, 'right_src_count': 0, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 0, 'high': 1, 'unknown': 0, 'veryHigh': 0}, 'interests': ['50c390b1-848d-4d7d-bad7-e47fa44b685b', 'd02e2acc-2d6c-46c1-b3d2-a968a70f66f6', '8c60fbfa-270e-401d-8763-4b383c53df52', '789add1c-7036-46cb-80dd-b871b799493a'], 'category': 'finance'}, {'slug': 'private-equity-to-be-blocked-from-buying-homes', 'story_id': '61695d37-7f99-48b7-a180-7cf4ec8a84df', 'title': 'Private Equity To Be Blocked From Buying Homes?', 'description': 'ZeroHedge - On a long enough timeline, the survival rate for everyone drops to zero', 'start_date': '2026-05-26', 'source_count': 2, 'bias_src_count': 2, 'left_pct': 0.0, 'ctr_pct': 0.0, 'right_pct': 100.0, 'left_src_count': 0, 'ctr_src_count': 0, 'right_src_count': 2, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 1, 'mixed': 0, 'high': 0, 'unknown': 1, 'veryHigh': 0}, 'interests': ['4b121afc-f4e0-4942-8336-71300b8fc0a2', '8b223185-2fd4-4b75-a579-31d28ba828a4', '4aae9683-4f22-4e31-9477-47850bc453ae', '64a27664-38b0-46e2-9398-e59181b5487a', 'ad7c075e-9445-4e64-add1-b152910829bc', 'f2bbb6f9-0833-4a92-a229-397c2bd005a9', '61695d37-7f99-48b7-a180-7cf4ec8a84df'], 'category': 'finance'}], 'biotech': [{'slug': 'nocera-announces-strategic-transformation-into-nocera-holdings-expanding-across-artificial-intelligence-data-centers-robotics-biotech-and-d', 'story_id': '3592b7d3-7594-4116-9292-9316e878bb87', 'title': 'Nocera Announces Strategic Transformation into Nocera Holdings, Expanding Across Artificial Intelligence, Data Centers, Robotics, Biotech and Digital Assets', 'description': 'Company Expands Strategic Vision Following Amendment of up to $300 Million Facility to Pursue Acquisitions,', 'start_date': '2026-05-26', 'source_count': 2, 'bias_src_count': 0, 'left_pct': None, 'ctr_pct': None, 'right_pct': None, 'left_src_count': None, 'ctr_src_count': None, 'right_src_count': None, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 0, 'high': 0, 'unknown': 2, 'veryHigh': 0}, 'interests': ['a182f4b7-1988-4bbf-87bc-c069e65337fe', '50cbde0a-6863-45e7-a019-b7c9904e0e75', 'fbedcdba-d619-48b0-b85a-672d036b85f3', 'c7cb94ca-63a5-477d-9fbe-aef13db092e6', 'f96f240e-1a6a-4091-9d26-3055c43a97de', '3592b7d3-7594-4116-9292-9316e878bb87'], 'category': 'biotech'}, {'slug': 'nuvalent-inc-nuvl-stock-analysis-evaluating-a-potential-4152-upside-in-biotech-innovation', 'story_id': '3592b7d3-7594-4116-9292-9316e878bb87', 'title': 'Nuvalent, Inc. (NUVL) Stock Analysis: Evaluating A Potential 41.52% Upside In Biotech Innovation', 'description': 'Nuvalent, Inc. (NASDAQ: NUVL) is capturing the attention of investors with its robust pipeline of innovative cancer therapies and a notable potential upside of 41.52%. The clinical-stage biopharmaceutical company, based in Cambridge, Massachusetts, is making significant strides in the biotechnology sector, focusing on developing therapies for patients battling cancer. With a market capitalization of $8.07 billion, Nuvalent is well-positioned wit…', 'start_date': '2026-05-25', 'source_count': 1, 'bias_src_count': 0, 'left_pct': None, 'ctr_pct': None, 'right_pct': None, 'left_src_count': None, 'ctr_src_count': None, 'right_src_count': None, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 0, 'high': 0, 'unknown': 1, 'veryHigh': 0}, 'interests': ['a182f4b7-1988-4bbf-87bc-c069e65337fe', '3f8a9caf-5399-4a50-8ecf-8a8d825a95a9', '3592b7d3-7594-4116-9292-9316e878bb87'], 'category': 'biotech'}, {'slug': 'this-biotech-stock-is-up-355-one-fund-added-a-169-million-position-last-quarter_a1b2b2', 'story_id': '3592b7d3-7594-4116-9292-9316e878bb87', 'title': 'This Biotech Stock Is Up 355%. One Fund Added a $169 Million Position Last Quarter', 'description': 'Key PointsDeep Track Capital bought 6,772,595 shares of Alumis last quarter; the estimated transaction value was $169.31 million (based on average prices).Meanwhile, the quarter-end position value changed by $149.20 million, reflecting the new stake.The transaction represented a 2.76% increase relative to Deep Track Capital’s 13F reportable assets under management (AUM).10 stocks we like better than Alumis › On May 15, 2026, Deep Track Capital d…', 'start_date': '2026-05-24', 'source_count': 1, 'bias_src_count': 0, 'left_pct': 100.0, 'ctr_pct': 0.0, 'right_pct': 0.0, 'left_src_count': 1, 'ctr_src_count': 0, 'right_src_count': 0, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 0, 'high': 0, 'unknown': 0, 'veryHigh': 1}, 'interests': ['a182f4b7-1988-4bbf-87bc-c069e65337fe', '532ffd58-9dac-4191-88a9-67e38c7c1b81', '3592b7d3-7594-4116-9292-9316e878bb87'], 'category': 'biotech'}, {'slug': 'biotech-firm-with-manchester-swagger-wins-5m-funding', 'story_id': '3592b7d3-7594-4116-9292-9316e878bb87', 'title': 'Biotech firm with ‘Manchester swagger’ wins £5m funding', 'description': "Guy Levy-Yurista will help lead Imperagen's growth", 'start_date': '2026-05-22', 'source_count': 1, 'bias_src_count': 0, 'left_pct': 100.0, 'ctr_pct': 0.0, 'right_pct': 0.0, 'left_src_count': 1, 'ctr_src_count': 0, 'right_src_count': 0, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 0, 'high': 0, 'unknown': 1, 'veryHigh': 0}, 'interests': ['a182f4b7-1988-4bbf-87bc-c069e65337fe', '450085e8-8696-45db-9aaa-fc2a311d60de', '3592b7d3-7594-4116-9292-9316e878bb87'], 'category': 'biotech'}, {'slug': 'q1-2026-hedge-fund-analysis', 'story_id': '3592b7d3-7594-4116-9292-9316e878bb87', 'title': 'Q1 2026 Hedge Fund Analysis', 'description': "Guy Levy-Yurista will help lead Imperagen's growth", 'start_date': '2026-05-21', 'source_count': 1, 'bias_src_count': 0, 'left_pct': 100.0, 'ctr_pct': 0.0, 'right_pct': 0.0, 'left_src_count': 1, 'ctr_src_count': 0, 'right_src_count': 0, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 0, 'high': 0, 'unknown': 1, 'veryHigh': 0}, 'interests': ['a182f4b7-1988-4bbf-87bc-c069e65337fe', '3592b7d3-7594-4116-9292-9316e878bb87'], 'category': 'biotech'}, {'slug': 'what-does-it-mean-when-a-stock-appears-in-multiple-bpiq-portfolios', 'story_id': '3592b7d3-7594-4116-9292-9316e878bb87', 'title': 'What Does It Mean When a Stock Appears in Multiple BPIQ Portfolios?', 'description': 'Summary Hedge fund holdings can help you discover new investment ideas We identified & follow the top biopharma-focused hedge funds Q1 hedge fund holdings reports were released on ~05/15/26 This report focuses on top holdings of top biopharma hedge funds as of 03/31/26 Top Biopharma Hedge Funds At BPIQ we identified the top smid-cap biopharma-focused hedge funds ^1. We updated our database of holding and other info re: these funds with their recen…', 'start_date': '2026-05-20', 'source_count': 1, 'bias_src_count': 1, 'left_pct': 100.0, 'ctr_pct': 0.0, 'right_pct': 0.0, 'left_src_count': 1, 'ctr_src_count': 0, 'right_src_count': 0, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 0, 'high': 0, 'unknown': 1, 'veryHigh': 0}, 'interests': ['a182f4b7-1988-4bbf-87bc-c069e65337fe', '3592b7d3-7594-4116-9292-9316e878bb87'], 'category': 'biotech'}, {'slug': 'usach-students-develop-a-biotech-to-recover-lithium-by-microalgae', 'story_id': '789add1c-7036-46cb-80dd-b871b799493a', 'title': 'Usach Students Develop a Biotech to Recover Lithium by Microalgae', 'description': 'The growing global demand for lithium, driven by electromobility and energy storage, has put pressure on the mining industry to reduce the environmental impact of its extraction processes.', 'start_date': '2026-05-20', 'source_count': 1, 'bias_src_count': 0, 'left_pct': 100.0, 'ctr_pct': 0.0, 'right_pct': 0.0, 'left_src_count': 1, 'ctr_src_count': 0, 'right_src_count': 0, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 0, 'high': 0, 'unknown': 0, 'veryHigh': 1}, 'interests': ['a7cb9898-aa27-4c43-b7b1-e86cc39c79f3', 'a182f4b7-1988-4bbf-87bc-c069e65337fe', '370678ed-ea74-4626-8d93-997b75264073', '3592b7d3-7594-4116-9292-9316e878bb87', '789add1c-7036-46cb-80dd-b871b799493a'], 'category': 'biotech'}, {'slug': 'risen-pharma-announces-initiation-of-phase-2-clinical-trial-of-rp902-for-mild-cognitive-impairment-due-to-alzheimers-disease', 'story_id': '3592b7d3-7594-4116-9292-9316e878bb87', 'title': 'Risen Pharma Announces Initiation of Phase 2 Clinical Trial of RP902 for Mild Cognitive Impairment Due to Alzheimer’s Disease', 'description': 'SHANGHAI, May 19, 2026 (GLOBE NEWSWIRE) -- Risen Pharma, a clinical-stage biotech company focusing on the development and commercialization of high-need, patient-accessible therapeutics, today announced the initiation of a Phase 2 clinical study in China of RP902, an oral small-molecule…', 'start_date': '2026-05-19', 'source_count': 4, 'bias_src_count': 1, 'left_pct': 100.0, 'ctr_pct': 0.0, 'right_pct': 0.0, 'left_src_count': 1, 'ctr_src_count': 0, 'right_src_count': 0, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 0, 'high': 3, 'unknown': 1, 'veryHigh': 0}, 'interests': ['051288aa-af1f-463d-a78a-c22d4e37040c', 'a182f4b7-1988-4bbf-87bc-c069e65337fe', '51801138-bd6d-4461-934e-266bf4bcc468', '3592b7d3-7594-4116-9292-9316e878bb87'], 'category': 'biotech'}, {'slug': 'this-biotech-has-a-june-30-fda-catalyst-a-fund-just-cut-its-stake-by-7-million', 'story_id': '3592b7d3-7594-4116-9292-9316e878bb87', 'title': 'This Biotech Has a June 30 FDA Catalyst. A Fund Just Cut Its Stake by $7 Million', 'description': "Key PointsHighVista Strategies sold 238,243 shares of Viridian Therapeutics; the estimated trade size was $7.08 million based on average closing prices from January through March 2026.The quarter-end position value decreased by $8.97 million, reflecting both the share sale and stock price changes during the period.The move represents a 1.95% change in HighVista's 13F reportable assets under management.Post-trade, HighVista holds 134,229 shares v…", 'start_date': '2026-05-17', 'source_count': 1, 'bias_src_count': 1, 'left_pct': 0.0, 'ctr_pct': 0.0, 'right_pct': 100.0, 'left_src_count': 0, 'ctr_src_count': 0, 'right_src_count': 1, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 0, 'high': 0, 'unknown': 0, 'veryHigh': 1}, 'interests': ['a182f4b7-1988-4bbf-87bc-c069e65337fe', 'f2bbb6f9-0833-4a92-a229-397c2bd005a9', '3592b7d3-7594-4116-9292-9316e878bb87'], 'category': 'biotech'}], 'global-markets': [], 'stock-market': [], 'logistics': [], 'clean-energy': [], 'healthcare': [{'slug': 'trump-declares-himself-in-perfect-health-after-physical-exam_7f6002', 'story_id': '61695d37-7f99-48b7-a180-7cf4ec8a84df', 'title': 'Trump declares himself in perfect health after physical exam', 'description': 'US-POLITICS-ECONOMY-TRUMP; Author: Brendan SMIALOWSKI / AFP via Getty Images; Getty Caption: US President Donald Trump delivers a speech about the economy at Rockland Community College Fieldhouse in Suffern, New York, on May 22, 2026. Trump is the first …', 'start_date': '2026-05-26', 'source_count': 68, 'bias_src_count': 52, 'left_pct': 31.0, 'ctr_pct': 34.0, 'right_pct': 35.0, 'left_src_count': 16, 'ctr_src_count': 18, 'right_src_count': 18, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 1, 'low': 3, 'mixed': 11, 'high': 22, 'unknown': 16, 'veryHigh': 15}, 'interests': [], 'category': 'healthcare'}, {'slug': 'the-rare-ebola-outbreak-is-one-danger-attacks-on-healthcare-workers-are-another_34cf8d', 'story_id': 'da6e077e-d665-4b66-9139-ec832f160ab1', 'title': 'The rare Ebola outbreak is one danger. Attacks on healthcare workers are another', 'description': 'Health workers responding to a rapidly spreading outbreak of a rare type of Ebola in eastern Congo face two threats. They risk contracting the virus and encounter hostility from wary locals. 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Now the picture is much less bleak with net results predicted to be positive. After two dark years of delayed or abandoned projects and minimal margins, wind energy manufacturers finally seem to be back on track. The Danish group Vestas announced a strong improvement in the first quarter of 2026, with a …', 'start_date': '2026-05-21', 'source_count': 1, 'bias_src_count': 1, 'left_pct': 100.0, 'ctr_pct': 0.0, 'right_pct': 0.0, 'left_src_count': 1, 'ctr_src_count': 0, 'right_src_count': 0, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 0, 'high': 0, 'unknown': 1, 'veryHigh': 0}, 'interests': ['1b60b8df-5d92-463b-9721-2009cb2ad948', '88119cf0-6b92-4e59-9491-0d6ae00204b8', '1e01d8ae-840e-486b-b07c-dc3143eeeb50', '789add1c-7036-46cb-80dd-b871b799493a'], 'category': 'denmark-economy'}, {'slug': 'dark-clouds-on-the-horizon-kerteminde-municipalitys-economy-is-under-severe-pressure-kjerteminde-avis', 'story_id': '789add1c-7036-46cb-80dd-b871b799493a', 'title': "Dark Clouds on the Horizon: Kerteminde Municipality's Economy Is Under Severe Pressure – Kjerteminde Avis", 'description': '', 'start_date': '2026-05-21', 'source_count': 1, 'bias_src_count': 1, 'left_pct': 0.0, 'ctr_pct': 0.0, 'right_pct': 100.0, 'left_src_count': 0, 'ctr_src_count': 0, 'right_src_count': 1, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 0, 'high': 0, 'unknown': 1, 'veryHigh': 0}, 'interests': ['63ae36d2-e0ca-4a83-8303-12469dc46446', '88119cf0-6b92-4e59-9491-0d6ae00204b8', '1e01d8ae-840e-486b-b07c-dc3143eeeb50', '789add1c-7036-46cb-80dd-b871b799493a'], 'category': 'denmark-economy'}, {'slug': 'eif-commits-eur-200-million-to-copenhagen-infrastructure-partners-to-scale-european-biogas-production', 'story_id': '789add1c-7036-46cb-80dd-b871b799493a', 'title': 'EIF commits EUR 200 million to Copenhagen Infrastructure Partners to scale European biogas production', 'description': 'EIF backs CIP’s Advanced Bioenergy Fund II (ABF II) with EUR 200 million to scale biomethane and advanced bioenergy production in EuropeABF II is officially launched with EIF cornerstone investmentBacked by InvestEU, financing supports Europe’s energy security and climate goals', 'start_date': '2026-05-21', 'source_count': 4, 'bias_src_count': 0, 'left_pct': 100.0, 'ctr_pct': 0.0, 'right_pct': 0.0, 'left_src_count': 1, 'ctr_src_count': 0, 'right_src_count': 0, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 0, 'high': 1, 'unknown': 3, 'veryHigh': 0}, 'interests': ['63ae36d2-e0ca-4a83-8303-12469dc46446', '88119cf0-6b92-4e59-9491-0d6ae00204b8', '1e01d8ae-840e-486b-b07c-dc3143eeeb50', '789add1c-7036-46cb-80dd-b871b799493a'], 'category': 'denmark-economy'}], 'investing': [{'slug': 'dow-s-and-p-500-nasdaq-futures-edge-lower-after-nvidia-earnings', 'story_id': 'f96f240e-1a6a-4091-9d26-3055c43a97de', 'title': 'U.S. Stocks Slip After Oil Prices Rise and Nvidia’s Latest Profit Report Gets a Yawn', 'description': None, 'start_date': '2026-05-21', 'source_count': 24, 'bias_src_count': 12, 'left_pct': 33.0, 'ctr_pct': 50.0, 'right_pct': 17.0, 'left_src_count': 4, 'ctr_src_count': 6, 'right_src_count': 2, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 0, 'high': 9, 'unknown': 12, 'veryHigh': 3}, 'interests': [], 'category': 'investing'}, {'slug': 'oil-from-broken-pipe-shuts-down-busy-east-los-angeles-intersection', 'story_id': '3592b7d3-7594-4116-9292-9316e878bb87', 'title': 'Oil From Broken Pipe Shuts Down Busy East Los Angeles Intersection', 'description': 'Oil from a broken underground pipe was sent oozing along a major East Los Angeles street, prompting an hourslong closure and cleanup operation Friday morning. The hazmat incident was reported around 3:40 a.m. at East Cesar Chavez and Eastern avenues, according to the California Highway Patrol’s traffic incident log. Aerial video from Sky5 over the [...]', 'start_date': '2026-05-22', 'source_count': 16, 'bias_src_count': 8, 'left_pct': 25.0, 'ctr_pct': 75.0, 'right_pct': 0.0, 'left_src_count': 2, 'ctr_src_count': 6, 'right_src_count': 0, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 0, 'high': 2, 'unknown': 8, 'veryHigh': 6}, 'interests': ['96354046-1f81-476d-bf4c-acad68d07816', '4380ecaa-ae13-4c0b-a2da-5601cdff578a', '188f6aee-6687-4cce-93ab-0d9bf0b28642', '25975461-6769-41fd-82be-f6acca7a5656', 'c65b1eba-8332-4f1f-a3a1-eee05e4c043a', '789add1c-7036-46cb-80dd-b871b799493a', '3592b7d3-7594-4116-9292-9316e878bb87'], 'category': 'investing'}, {'slug': 'softbanks-go-big-or-go-home-ai-bets-fire-up-markets-as-ipos-near_3aa5cd', 'story_id': 'f96f240e-1a6a-4091-9d26-3055c43a97de', 'title': 'SoftBank’s ‘Go Big or Go Home’ AI Bets Fire Up Markets as IPOs Near', 'description': 'The Nikkei is quickly becoming the land of the rising Masayoshi Son. 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We demystify ideas about investment and show that starting can be easier than you think, with Catherine Inácio and Raffik Baldé, than Rico Couple.', 'start_date': '2026-05-25', 'source_count': 1, 'bias_src_count': 1, 'left_pct': 0.0, 'ctr_pct': 100.0, 'right_pct': 0.0, 'left_src_count': 0, 'ctr_src_count': 1, 'right_src_count': 0, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 0, 'high': 1, 'unknown': 0, 'veryHigh': 0}, 'interests': ['188f6aee-6687-4cce-93ab-0d9bf0b28642', 'e74bed82-08a6-43d2-8f49-7841291f9db0', '789add1c-7036-46cb-80dd-b871b799493a'], 'category': 'investing'}, {'slug': 'investing-in-the-stock-exchange-how-to-buy-shares-and-sell-them-at-best', 'story_id': '789add1c-7036-46cb-80dd-b871b799493a', 'title': 'Investing in the Stock Exchange: How to Buy Shares and Sell Them at Best?', 'description': 'When you want to start investing on the stock exchange, it is necessary to ask yourself the right questions. What elements are to be taken into account before buying shares? How to target the companies and sectors to be preferred on the stock exchange? What behaviour should be adopted when holding them?', 'start_date': '2026-05-24', 'source_count': 1, 'bias_src_count': 1, 'left_pct': 0.0, 'ctr_pct': 100.0, 'right_pct': 0.0, 'left_src_count': 0, 'ctr_src_count': 1, 'right_src_count': 0, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 0, 'high': 1, 'unknown': 0, 'veryHigh': 0}, 'interests': ['188f6aee-6687-4cce-93ab-0d9bf0b28642', '57d7c244-52db-4a19-a5d9-d339d948006c', '789add1c-7036-46cb-80dd-b871b799493a'], 'category': 'investing'}, {'slug': 'investing-in-the-countries-competing-in-the-world-cup_ccb307', 'story_id': '789add1c-7036-46cb-80dd-b871b799493a', 'title': 'Investing in the countries competing in the World Cup', 'description': 'Following the FA Cup Final on Saturday, football fans will be turning their attention to the\xa0World Cup. With the first game due to kick off on\xa011 June\xa0as Mexico face South Africa, the\xa0Association of Investment Companies (AIC)\xa0has estimated how much exposure investment trusts have to each qualifying country. This year there are\xa048 countries\xa0competing, including\xa0England\xa0and\xa0Scotland. While the two nations are fielding different teams, the availabl…', 'start_date': '2026-05-24', 'source_count': 1, 'bias_src_count': 1, 'left_pct': 0.0, 'ctr_pct': 0.0, 'right_pct': 100.0, 'left_src_count': 0, 'ctr_src_count': 0, 'right_src_count': 1, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 0, 'high': 0, 'unknown': 1, 'veryHigh': 0}, 'interests': ['188f6aee-6687-4cce-93ab-0d9bf0b28642', 'a7c81965-59dd-4871-a375-b1cceb9ba0eb', '75171d6a-3204-4adb-9cec-2d1e6a57caa5', '781ae982-0174-43e7-9a62-f78ec922fc66', '789add1c-7036-46cb-80dd-b871b799493a'], 'category': 'investing'}, {'slug': 'letter-canada-must-champion-pandemic-preparedness-at-g7-summit', 'story_id': '789add1c-7036-46cb-80dd-b871b799493a', 'title': 'LETTER: Canada must champion pandemic preparedness at G7 Summit', 'description': "'Investing in vaccine innovation today means a safer, more prepared tomorrow,' a reader writes", 'start_date': '2026-05-24', 'source_count': 1, 'bias_src_count': 1, 'left_pct': 0.0, 'ctr_pct': 0.0, 'right_pct': 100.0, 'left_src_count': 0, 'ctr_src_count': 0, 'right_src_count': 1, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 0, 'high': 1, 'unknown': 0, 'veryHigh': 0}, 'interests': ['188f6aee-6687-4cce-93ab-0d9bf0b28642', '108dd885-432a-4027-87ab-815cf14bfd97', 'b2438b26-38e4-45a3-aaba-e2aaf68780de', '789add1c-7036-46cb-80dd-b871b799493a'], 'category': 'investing'}, {'slug': 'axt-stock-the-time-to-be-really-greedy-is-over-nasdaq-axti', 'story_id': '789add1c-7036-46cb-80dd-b871b799493a', 'title': 'AXT Stock: The Time To Be Really Greedy Is Over (NASDAQ:AXTI)', 'description': 'This article was written by \nFollow \nHi! I’m a passionate investor who has been researching publically traded companies for over 6 years. My primary focus is on identifying great businesses at reasonable prices and holding them for the long term but I also dive into trend following strategies from time to time. While I have a slight bias toward technology companies, I maintain a broad perspective, including opportunities in crypto. I take a glob…', 'start_date': '2026-05-24', 'source_count': 1, 'bias_src_count': 0, 'left_pct': 100.0, 'ctr_pct': 0.0, 'right_pct': 0.0, 'left_src_count': 1, 'ctr_src_count': 0, 'right_src_count': 0, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 1, 'high': 0, 'unknown': 0, 'veryHigh': 0}, 'interests': ['188f6aee-6687-4cce-93ab-0d9bf0b28642', 'f2bbb6f9-0833-4a92-a229-397c2bd005a9', '789add1c-7036-46cb-80dd-b871b799493a'], 'category': 'investing'}, {'slug': 'why-young-people-are-gambling-to-get-ahead', 'story_id': '789add1c-7036-46cb-80dd-b871b799493a', 'title': 'Why Young People Are Gambling To Get Ahead', 'description': 'Why Young People Are Gambling To Get Ahead The transformation of the markets from a convenient way to raise capital for production into a type of casino is a warning sign. As is the participation of the masses through outfits like Robin Hood, a broker that democratized gambling, disguising it as speculation or investing. It’s a tip-off we’re probably at a top in the broad market. Doug Casey Sun, 05/24/2026', 'start_date': '2026-05-24', 'source_count': 1, 'bias_src_count': 1, 'left_pct': 100.0, 'ctr_pct': 0.0, 'right_pct': 0.0, 'left_src_count': 1, 'ctr_src_count': 0, 'right_src_count': 0, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 0, 'high': 0, 'unknown': 1, 'veryHigh': 0}, 'interests': ['188f6aee-6687-4cce-93ab-0d9bf0b28642', '789add1c-7036-46cb-80dd-b871b799493a'], 'category': 'investing'}, {'slug': 'how-to-assess-the-risks-of-investing-in-shares', 'story_id': '789add1c-7036-46cb-80dd-b871b799493a', 'title': 'How to Assess the Risks of Investing in Shares', 'description': 'Why Young People Are Gambling To Get Ahead The transformation of the markets from a convenient way to raise capital for production into a type of casino is a warning sign. As is the participation of the masses through outfits like Robin Hood, a broker that democratized gambling, disguising it as speculation or investing. It’s a tip-off we’re probably at a top in the broad market. Doug Casey Sun, 05/24/2026', 'start_date': '2026-05-24', 'source_count': 1, 'bias_src_count': 1, 'left_pct': 100.0, 'ctr_pct': 0.0, 'right_pct': 0.0, 'left_src_count': 1, 'ctr_src_count': 0, 'right_src_count': 0, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 0, 'high': 0, 'unknown': 1, 'veryHigh': 0}, 'interests': ['188f6aee-6687-4cce-93ab-0d9bf0b28642', 'd3bf8fd3-92a3-4194-8d25-74d455e43842', '789add1c-7036-46cb-80dd-b871b799493a'], 'category': 'investing'}, {'slug': 'canadian-companies-warn-of-challenges-in-investing-in-mexico', 'story_id': '789add1c-7036-46cb-80dd-b871b799493a', 'title': 'Canadian Companies Warn of Challenges in Investing in Mexico', 'description': 'Find out how to properly assess the risks of investment in actions through fundamental analysis, financial indicators and diversification strategies.', 'start_date': '2026-05-23', 'source_count': 1, 'bias_src_count': 1, 'left_pct': 0.0, 'ctr_pct': 0.0, 'right_pct': 100.0, 'left_src_count': 0, 'ctr_src_count': 0, 'right_src_count': 1, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 0, 'high': 0, 'unknown': 1, 'veryHigh': 0}, 'interests': ['188f6aee-6687-4cce-93ab-0d9bf0b28642', 'b5c32417-237e-4027-b1c8-18c4f00fcdaa', '789add1c-7036-46cb-80dd-b871b799493a'], 'category': 'investing'}], 'diabetes': [{'slug': 'study-glp-1s-may-hinder-cancer-spread', 'story_id': '3592b7d3-7594-4116-9292-9316e878bb87', 'title': 'Ozempic-Style Drugs Linked to Major Slowdown in Cancer Spread, New Study Finds', 'description': 'Popular glucagon-like peptide-1 (GLP-1) weight-loss drugs may help slow the spread of some cancers, according to new research to be presented at a major medical conference.Research led by Cleveland Clinic found that the medications may reduce the spread of several obesity-related cancers, including lung, breast, colorectal and liver cancers.The findings will be presented at the 2026 ASCO Annual Meeting next week in Chicago.WEIGHT-LOSS DRUGS NOW …', 'start_date': '2026-05-26', 'source_count': 6, 'bias_src_count': 5, 'left_pct': 0.0, 'ctr_pct': 80.0, 'right_pct': 20.0, 'left_src_count': 0, 'ctr_src_count': 4, 'right_src_count': 1, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 1, 'high': 2, 'unknown': 1, 'veryHigh': 2}, 'interests': ['c4ddbb78-303f-486d-bbf6-0a10abf08025', 'cc6ac44d-2d13-48be-8aa8-eb5bb5767984', 'adfba147-b23b-4ea7-96b9-b85e51418a52', 'c94384d6-9ed9-437a-80ac-18232602afa8', 'f33d04a6-131f-4c9f-9f84-075ca0596cc8', '122e5e93-f38b-4316-8a48-bb005bbe3934', '9ae494d1-7a30-4552-a729-937522b85e9b', '3592b7d3-7594-4116-9292-9316e878bb87'], 'category': 'diabetes'}, {'slug': 'magla-donates-k78m-to-mzuzu-viphya-lions-club', 'story_id': '3592b7d3-7594-4116-9292-9316e878bb87', 'title': 'Malawi: Magla Donates K7.8m to Mzuzu-Viphya Lions Club', 'description': 'The Malawi Gaming and Lotteries Authority (MAGLA) has donated K7.8 million to Mzuzu-Viphya Lions Club, to support the launch of a free screening campaign for eyesight, diabetes and mental health, scheduled for May 30 in Rumphi district.', 'start_date': '2026-05-25', 'source_count': 4, 'bias_src_count': 5, 'left_pct': 0.0, 'ctr_pct': 80.0, 'right_pct': 20.0, 'left_src_count': 0, 'ctr_src_count': 4, 'right_src_count': 1, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 0, 'high': 1, 'unknown': 3, 'veryHigh': 0}, 'interests': ['c4ddbb78-303f-486d-bbf6-0a10abf08025', 'd02e2acc-2d6c-46c1-b3d2-a968a70f66f6', '52b24d28-c1ba-44b6-a54f-0ff43304a88c', '3592b7d3-7594-4116-9292-9316e878bb87'], 'category': 'diabetes'}, {'slug': 'cocogun-launches-audio-campaign-for-diabetes-australia', 'story_id': '3592b7d3-7594-4116-9292-9316e878bb87', 'title': 'Diabetes Australia Highlights Hidden Dangers of Ultra-Processed Foods in Audio Work via Cocogun', 'description': 'Independent creative agency Cocogun has collaborated with award-winning sound house Smith & Western on a new Diabetes Australia campaign warning people about the link between ultra-processed foods and the nation’s fastest-growing chronic condition. \xa0 The campaign is based on two key insights. Firstly, the human body simply isn’t designed to deal with the ultra-processed foods which now dominate supermarket shelves, and regular consumption of the…', 'start_date': '2026-05-26', 'source_count': 3, 'bias_src_count': 1, 'left_pct': 0.0, 'ctr_pct': 100.0, 'right_pct': 0.0, 'left_src_count': 0, 'ctr_src_count': 1, 'right_src_count': 0, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 0, 'high': 0, 'unknown': 3, 'veryHigh': 0}, 'interests': ['c4ddbb78-303f-486d-bbf6-0a10abf08025', 'ab94fa3a-0fb1-4599-b191-020805957893', '7b0857b8-bc33-4263-85d5-f64559c5011f', '3592b7d3-7594-4116-9292-9316e878bb87'], 'category': 'diabetes'}, {'slug': 'two-diabetic-cats-among-dozens-awaiting-homes', 'story_id': 'ded7dddf-518a-4a42-a671-29e5bf03d7be', 'title': 'Two diabetic cats among dozens awaiting homes', 'description': 'CLEVELAND, Ohio -- As kitten season approaches and shelter space tightens, the Cleveland Animal Protective League is hoping a limited-time adoption promotion helps dozens of adult cats -- including two with diabetes -- find homes.', 'start_date': '2026-05-26', 'source_count': 1, 'bias_src_count': 1, 'left_pct': 0.0, 'ctr_pct': 100.0, 'right_pct': 0.0, 'left_src_count': 0, 'ctr_src_count': 1, 'right_src_count': 0, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 0, 'high': 0, 'unknown': 0, 'veryHigh': 1}, 'interests': ['fc2b8b4a-a59e-4cdb-bef4-746efb527b08', 'c4ddbb78-303f-486d-bbf6-0a10abf08025', '9ae494d1-7a30-4552-a729-937522b85e9b', '3592b7d3-7594-4116-9292-9316e878bb87', 'ded7dddf-518a-4a42-a671-29e5bf03d7be'], 'category': 'diabetes'}, {'slug': '8-habits-tied-to-lower-diabetes-risk-in-postmenopausal-women', 'story_id': '3592b7d3-7594-4116-9292-9316e878bb87', 'title': '8 habits tied to lower diabetes risk in postmenopausal women', 'description': 'A new study has found an association between sticking with eight habits for heart health and lower rates of diabetes for postmenopausal women. Type 2 diabetes is often associated with excessive sugar intake, but lifestyle factors including body weight, exercise, and smoking habits can also influence risk. “Our findings suggest that the same factors we often talk about for heart health may also be important for diabetes prevention and remain rele…', 'start_date': '2026-05-26', 'source_count': 1, 'bias_src_count': 1, 'left_pct': 0.0, 'ctr_pct': 100.0, 'right_pct': 0.0, 'left_src_count': 0, 'ctr_src_count': 1, 'right_src_count': 0, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 0, 'high': 1, 'unknown': 0, 'veryHigh': 0}, 'interests': ['c4ddbb78-303f-486d-bbf6-0a10abf08025', 'a15b3a6d-53a1-41fa-8d89-cd21af1db270', '3592b7d3-7594-4116-9292-9316e878bb87'], 'category': 'diabetes'}, {'slug': 'apple-watch-glucose-monitoring-project-gets-encouraging-update', 'story_id': '3592b7d3-7594-4116-9292-9316e878bb87', 'title': 'Apple Watch glucose monitoring project gets encouraging update', 'description': 'Apple wants to bring noninvasive glucose monitoring to Apple Watch, and a new report indicates the project has hit a notable turning point.', 'start_date': '2026-05-26', 'source_count': 2, 'bias_src_count': 1, 'left_pct': 0.0, 'ctr_pct': 100.0, 'right_pct': 0.0, 'left_src_count': 0, 'ctr_src_count': 1, 'right_src_count': 0, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 0, 'high': 2, 'unknown': 0, 'veryHigh': 0}, 'interests': ['f6bb5cfb-b7d4-4bbc-874f-cc596117d53b', 'c4ddbb78-303f-486d-bbf6-0a10abf08025', '79bef35c-59cf-4348-90ff-cf5b367a0875', '3592b7d3-7594-4116-9292-9316e878bb87'], 'category': 'diabetes'}, {'slug': 'ireland-has-highest-prevalence-of-this-disease-in-world-these-are-the-symptoms', 'story_id': '3592b7d3-7594-4116-9292-9316e878bb87', 'title': 'Ireland has highest prevalence of this disease in world - these are the symptoms', 'description': 'Serious complications can include liver disease, heart problems, diabetes and joint damage', 'start_date': '2026-05-26', 'source_count': 1, 'bias_src_count': 0, 'left_pct': 0.0, 'ctr_pct': 100.0, 'right_pct': 0.0, 'left_src_count': 0, 'ctr_src_count': 2, 'right_src_count': 0, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 1, 'high': 0, 'unknown': 0, 'veryHigh': 0}, 'interests': ['d2b91657-d8ef-458d-817d-bb56cd54cb40', 'c4ddbb78-303f-486d-bbf6-0a10abf08025', 'b173c01c-0622-420e-bfa0-2b1254eecdf8', '3592b7d3-7594-4116-9292-9316e878bb87'], 'category': 'diabetes'}, {'slug': 'ema-backs-options-for-broadening-obesity-care-in-europe', 'story_id': '3592b7d3-7594-4116-9292-9316e878bb87', 'title': 'EMA Backs Options for Broadening Obesity Care in Europe', 'description': 'Serious complications can include liver disease, heart problems, diabetes and joint damage', 'start_date': '2026-05-26', 'source_count': 1, 'bias_src_count': 0, 'left_pct': 0.0, 'ctr_pct': 100.0, 'right_pct': 0.0, 'left_src_count': 0, 'ctr_src_count': 2, 'right_src_count': 0, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 0, 'high': 0, 'unknown': 0, 'veryHigh': 1}, 'interests': ['c4ddbb78-303f-486d-bbf6-0a10abf08025', '9c2707bd-8c25-4fde-8791-aa9db6d69091', '122e5e93-f38b-4316-8a48-bb005bbe3934', '3592b7d3-7594-4116-9292-9316e878bb87'], 'category': 'diabetes'}, {'slug': 'mexico-has-the-conditions-to-produce-biotechnology-specialist', 'story_id': '3592b7d3-7594-4116-9292-9316e878bb87', 'title': 'Mexico Has the Conditions to Produce Biotechnology: Specialist', 'description': 'Human proteins created by genetic engineering are the active substances of biotechnological medicines and although they exist since 1982, when they began the sale of human insulin for the treatment of diabetes and have demonstrated high effectiveness in the control of complex diseases, such as cancer, in Mexico they are virtually non-manufactured.', 'start_date': '2026-05-26', 'source_count': 1, 'bias_src_count': 1, 'left_pct': 100.0, 'ctr_pct': 0.0, 'right_pct': 0.0, 'left_src_count': 1, 'ctr_src_count': 0, 'right_src_count': 0, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 0, 'high': 1, 'unknown': 0, 'veryHigh': 0}, 'interests': ['f33d04a6-131f-4c9f-9f84-075ca0596cc8', 'c4ddbb78-303f-486d-bbf6-0a10abf08025', '8e514cb8-49d7-421f-8c14-d183a8e61319', '3592b7d3-7594-4116-9292-9316e878bb87'], 'category': 'diabetes'}, {'slug': 'study-glp-1s-may-hinder-cancer-spread', 'story_id': '3592b7d3-7594-4116-9292-9316e878bb87', 'title': 'Ozempic-Style Drugs Linked to Major Slowdown in Cancer Spread, New Study Finds', 'description': 'Popular glucagon-like peptide-1 (GLP-1) weight-loss drugs may help slow the spread of some cancers, according to new research to be presented at a major medical conference.Research led by Cleveland Clinic found that the medications may reduce the spread of several obesity-related cancers, including lung, breast, colorectal and liver cancers.The findings will be presented at the 2026 ASCO Annual Meeting next week in Chicago.WEIGHT-LOSS DRUGS NOW …', 'start_date': '2026-05-26', 'source_count': 6, 'bias_src_count': 0, 'left_pct': 100.0, 'ctr_pct': 0.0, 'right_pct': 0.0, 'left_src_count': 1, 'ctr_src_count': 0, 'right_src_count': 0, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 1, 'high': 2, 'unknown': 1, 'veryHigh': 2}, 'interests': ['c4ddbb78-303f-486d-bbf6-0a10abf08025', 'cc6ac44d-2d13-48be-8aa8-eb5bb5767984', 'adfba147-b23b-4ea7-96b9-b85e51418a52', 'c94384d6-9ed9-437a-80ac-18232602afa8', 'f33d04a6-131f-4c9f-9f84-075ca0596cc8', '122e5e93-f38b-4316-8a48-bb005bbe3934', '9ae494d1-7a30-4552-a729-937522b85e9b', '3592b7d3-7594-4116-9292-9316e878bb87'], 'category': 'diabetes'}, {'slug': 'ministry-of-health-convenes-policy-dialogue-on-taxing-sugary-drinks-to-combat-diabetes-and-obesity', 'story_id': '3592b7d3-7594-4116-9292-9316e878bb87', 'title': 'Ministry of Health convenes policy dialogue on taxing sugary drinks to combat diabetes and obesity', 'description': 'News and analytical articles about Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan, Uzbekistan.', 'start_date': '2026-05-26', 'source_count': 1, 'bias_src_count': 5, 'left_pct': 100.0, 'ctr_pct': 0.0, 'right_pct': 0.0, 'left_src_count': 1, 'ctr_src_count': 0, 'right_src_count': 0, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 0, 'high': 0, 'unknown': 1, 'veryHigh': 0}, 'interests': ['cc6ac44d-2d13-48be-8aa8-eb5bb5767984', 'c4ddbb78-303f-486d-bbf6-0a10abf08025', 'dd57470f-7975-4ef9-b109-f7fb2fd49626', '3592b7d3-7594-4116-9292-9316e878bb87'], 'category': 'diabetes'}, {'slug': 'how-metabolites-and-dna-link-our-mental-and-physical-health', 'story_id': '3592b7d3-7594-4116-9292-9316e878bb87', 'title': 'How metabolites and DNA link our mental and physical health', 'description': 'Why do people with mental health conditions like depression, schizophrenia, or anorexia often face higher risks of heart disease, diabetes, or other physical health problems? Part of the answer lies in lifestyle and the side effects of medications. But new research led by Dr Dylan Kiltschewskij, from the University of Newcastle and HMRI’s Precision Medicine and Health research program, suggests there may be something deeper at play: an inherent …', 'start_date': '2026-05-26', 'source_count': 1, 'bias_src_count': 0, 'left_pct': None, 'ctr_pct': None, 'right_pct': None, 'left_src_count': None, 'ctr_src_count': None, 'right_src_count': None, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 0, 'high': 0, 'unknown': 1, 'veryHigh': 0}, 'interests': ['a194db9b-0861-4e98-8aaf-adc3e8860a32', 'c4ddbb78-303f-486d-bbf6-0a10abf08025', '4380ecaa-ae13-4c0b-a2da-5601cdff578a', '0cd1af98-6919-40ed-b324-a7663f890896', '6358d240-34d9-4de8-91c4-e7154d01b595', '3592b7d3-7594-4116-9292-9316e878bb87'], 'category': 'diabetes'}, {'slug': 'cardiovascular-risk-factors-in-iranian-individuals-with-diabetes-from-2007-to-2021-findings-from-steps-surveys', 'story_id': '3592b7d3-7594-4116-9292-9316e878bb87', 'title': 'Cardiovascular risk factors in Iranian individuals with diabetes from 2007 to 2021: findings from STEPs surveys', 'description': 'Diabetes is a complex disease with rapidly increasing global prevalence. Patients with diabetes are more prone to cardiovascular events. Obesity, dyslipidemia, and hypertension (HTN) are key risk factors that contribute to cardiovascular complications in type 2 diabetes. To determine the trend...', 'start_date': '2026-05-26', 'source_count': 1, 'bias_src_count': 0, 'left_pct': None, 'ctr_pct': None, 'right_pct': None, 'left_src_count': None, 'ctr_src_count': None, 'right_src_count': None, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 0, 'high': 0, 'unknown': 1, 'veryHigh': 0}, 'interests': ['c4ddbb78-303f-486d-bbf6-0a10abf08025', 'de1cae42-ce45-4691-a9c5-c6d6d583a3be', '3592b7d3-7594-4116-9292-9316e878bb87'], 'category': 'diabetes'}]} nye artikler fra Ground News +[runner] Henter danske RSS feeds … + 🌐 Børsen 25 artikler (+1 nye) + 🌐 Finans.dk (top) 12 artikler (+0 nye) + 🌐 Finans.dk (seneste) 10 artikler (+0 nye) + 🌐 Politiken økonomi 20 artikler (+0 nye) + +1 nye artikler fra RSS feeds + +[runner] Kører NLP analyse … +[analyze] 788 articles to process (force=False dry_run=False claude=True) +[analyze] Phase 1: alias screen + coverage filter … +[analyze] 12/788 passed (0 dropped by coverage filter) +[analyze] Phase 2: NER upgrade … +[analyze] Loading dslim/bert-base-NER … +Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads. +[analyze] Phase 3: fetching full text for 12 articles … + 5/12: finans-top-novo-nedlaegger-internt-klimaraad-i-stilhed- + 10/12: ema-backs-options-for-broadening-obesity-care-in-europe + 12/12: weaning-of-slimming-pens-requires-care-young-pan +[analyze] 12 articles with confirmed C25 mentions +[analyze] Phase 4: FinBERT sentiment … +[analyze] Loading ProsusAI/finbert … +Traceback (most recent call last): + File "/home/hjess/Projects/MoneyMaker/runner.py", line 225, in main + run_pipeline(dry_run=args.dry_run, analyze_only=args.analyze_only) + ~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + File "/home/hjess/Projects/MoneyMaker/runner.py", line 66, in run_pipeline + analyze_articles( + ~~~~~~~~~~~~~~~~^ + force=False, + ^^^^^^^^^^^^ + ...<2 lines>... + auto_fetch=False, # already fetched above + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + ) + ^ + File "/home/hjess/Projects/MoneyMaker/analyze.py", line 506, in analyze_articles + db.upsert( + ~~~~~~~~~^ + "article_signals", + ^^^^^^^^^^^^^^^^^^ + ...<22 lines>... + ), + ^^ + ) + ^ + File "/home/hjess/Projects/MoneyMaker/db.py", line 97, in upsert + cur.execute(sql, vals) + ~~~~~~~~~~~^^^^^^^^^^^ +psycopg2.ProgrammingError: can't adapt type 'numpy.float32' + [claude] borsen-medie-novo-har-nedlagt-internt-klimarad + [claude] borsen-c25-aktie-ses-stige-27-pct-sadan-abner-mark + [claude] finans-top-efter-bare-fire-aar-flatpay-runder-1000 + [claude] finans-top-midt-i-hormuzkrisen-krav-fra-energinet- + [claude] finans-top-novo-nedlaegger-internt-klimaraad-i-sti + [claude] finans-seneste-tirsdagens-aktier-aktiekoeb-loefted +[runner] FEJL: + +════════════════════════════════════════════════════════════ + MONEYMAKER RUNNER · 2026-05-26 20:04 UTC + Mode: LIVE · DB: postgres +════════════════════════════════════════════════════════════ + + Schema initialiseret (postgres) +[runner] Henter Ground News … + 💾 europe 15 stories + 💾 uk-politics 15 stories + 💾 international 15 stories + 💾 south-america 12 stories + 💾 asia 15 stories + 💾 africa 15 stories + 💾 european-union 15 stories + 💾 european-politics 15 stories + 💾 united-kingdom 15 stories + 💾 north-america 15 stories + 💾 european-security-and-nato 15 stories + 💾 europe-economy 15 stories + 💾 united-states 0 stories + 💾 trump-administration 0 stories + 💾 us-politics 0 stories + 💾 israeli-palestinian-conflict 15 stories + 💾 australia 15 stories + 💾 donald-trump 15 stories + 💾 premier-league 3 stories + 💾 business-and-markets 15 stories + 💾 soccer 13 stories + 💾 memorial-day 14 stories + 💾 pharma 14 stories + 💾 energy 0 stories + 💾 corporate 0 stories + 💾 finance 15 stories + 💾 renewable-energy 14 stories + 💾 technology 0 stories + 💾 denmark 14 stories + 💾 shipping 0 stories + 💾 pharmaceutical 0 stories + 💾 climate-change 15 stories + 💾 denmark-economy 13 stories + 💾 nordic 0 stories + 💾 scandinavia 0 stories + 💾 healthcare 14 stories + 💾 biotech 9 stories + 💾 stock-market 0 stories + 💾 clean-energy 0 stories + 💾 danish-economy 0 stories + 💾 global-economy 0 stories + 💾 diabetes 13 stories + 💾 global-markets 0 stories + 💾 investing 13 stories + 💾 logistics 0 stories + +{'europe': [{'slug': 'four-killed-in-belgian-train-school-bus-collision', 'story_id': 'dd5ec3c4-3cf1-4623-b694-a37b848ce68e', 'title': 'Four Killed in Belgian Train-School Bus Collision', 'description': 'BUGGENHOUT ACCIDENT TRAIN BUS; Author: DIRK WAEM / BELGA MAG / Belga / AFP via Getty Images; Getty Caption: the scene of an accident between a train and a minivan, at the railway crossing Vierhuizen, in Buggenhout, Tuesday 26 May 2026. 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(Photo by Juli…', 'start_date': '2026-05-24', 'source_count': 25, 'bias_src_count': 9, 'left_pct': 67.0, 'ctr_pct': 11.0, 'right_pct': 22.0, 'left_src_count': 6, 'ctr_src_count': 1, 'right_src_count': 2, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 1, 'mixed': 2, 'high': 6, 'unknown': 16, 'veryHigh': 0}, 'interests': [], 'category': 'europe'}, {'slug': 'uk-targets-putins-cryptocurrency-networks-in-latest-sanctions', 'story_id': '789add1c-7036-46cb-80dd-b871b799493a', 'title': 'UK targets Russian crypto networks in latest sanctions', 'description': "Britain's PM Starmer co-chairs the Coalition of the Willing videoconference call with European leaders on Ukraine, in London", 'start_date': '2026-05-26', 'source_count': 27, 'bias_src_count': 14, 'left_pct': 36.0, 'ctr_pct': 28.0, 'right_pct': 36.0, 'left_src_count': 5, 'ctr_src_count': 4, 'right_src_count': 5, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 1, 'mixed': 4, 'high': 5, 'unknown': 13, 'veryHigh': 4}, 'interests': [], 'category': 'europe'}, {'slug': 'putin-signed-a-law-allowing-the-military-to-be-involved-to-protect-russians-arrested-abroad', 'story_id': '53adcede-9492-4651-946f-966930f06e6c', 'title': "Putin Signs Law Authorizing Use of Military Force to 'Protect Russian Citizens' Abroad", 'description': 'The legislation enables the Russian president to order troop deployments abroad to "protect" Russian citizens facing arrest, detention, trial, or other perceived persecution by foreign nations and international courts.', 'start_date': '2026-05-25', 'source_count': 41, 'bias_src_count': 18, 'left_pct': 61.0, 'ctr_pct': 17.0, 'right_pct': 22.0, 'left_src_count': 11, 'ctr_src_count': 3, 'right_src_count': 4, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 1, 'low': 0, 'mixed': 2, 'high': 13, 'unknown': 23, 'veryHigh': 2}, 'interests': ['eeb94afe-bb13-4690-b74f-3691fcfa58b2', 'd2b91657-d8ef-458d-817d-bb56cd54cb40', 'aeeb3038-1fb7-48ee-8aee-910996e232d8', '2cbd5b54-b8c3-49e2-9522-7c908cf283b2', 'b8bc97a3-3ba5-4169-bfcf-413cf712b5a0', '0c774fee-a13a-4d13-bda2-bee369608c03', 'a4843080-7e15-4762-993b-638b159bf531', '53adcede-9492-4651-946f-966930f06e6c'], 'category': 'europe'}, {'slug': 'live-tsipras-speech-at-the-presentation-of-the-new-party-its-name-logo-and-executives', 'story_id': '5cf09dee-97fb-4c45-ba6f-2b148eac3fa5', 'title': 'Former Greek Anti-Austerity Leader Alexis Tsipras Steps Back Into Politics', 'description': 'Alexis Tsipras, the combative anti‑austerity leader who railed against Brussels during Greece’s debt crisis, has returned to politics ahead of elections next year.', 'start_date': '2026-05-26', 'source_count': 5, 'bias_src_count': 18, 'left_pct': 61.0, 'ctr_pct': 17.0, 'right_pct': 22.0, 'left_src_count': 11, 'ctr_src_count': 3, 'right_src_count': 4, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 0, 'high': 0, 'unknown': 4, 'veryHigh': 1}, 'interests': ['5ba2f408-bdfa-4cea-9a84-7f6160610e33', 'd2b91657-d8ef-458d-817d-bb56cd54cb40', 'e04653e3-f877-40e2-854d-d02833167ac8', '5cf09dee-97fb-4c45-ba6f-2b148eac3fa5'], 'category': 'europe'}, {'slug': 'boy-stabbed-to-death-as-house-party-fight-erupts-in-hackney', 'story_id': '109c1425-50ed-4969-a969-56717fc39d23', 'title': 'Teenager stabbed to death after house party in London', 'description': 'A teenage boy has been stabbed to death after a fight spilled out of a house party in east London. 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'trinity-metals-launches-deep-drilling-at-nyakabingo-mine', 'story_id': 'b05f75ea-4fb3-476c-89e2-3fce9e860f59', 'title': 'Rwanda: Trinity Metals Launches Deep Drilling At Nyakabingo Mine', 'description': 'Orange is backing a new 20,000-kilometer subsea cable that will connect Nigeria and almost 20 other countries across Africa and Europe, as demand for data and cloud services rises across the continent.', 'start_date': '2026-05-26', 'source_count': 2, 'bias_src_count': 1, 'left_pct': 0.0, 'ctr_pct': 100.0, 'right_pct': 0.0, 'left_src_count': 0, 'ctr_src_count': 1, 'right_src_count': 0, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 0, 'high': 1, 'unknown': 1, 'veryHigh': 0}, 'interests': ['d02e2acc-2d6c-46c1-b3d2-a968a70f66f6', 'b05f75ea-4fb3-476c-89e2-3fce9e860f59'], 'category': 'africa'}, {'slug': 'hearts-of-oak-part-ways-with-head-coach-didi-dramani', 'story_id': '52eefa3c-5907-4f96-bb9b-25630a49d519', 'title': 'Hearts of Oak Part Ways with 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'new-operation-for-illegal-subsidies-from-opekepe-the-press-project-news-analysis-radio-television', 'story_id': '789add1c-7036-46cb-80dd-b871b799493a', 'title': 'Greek police arrest 20 in Crete over suspected EU farm subsidies fraud', 'description': 'Greek police arrested 20 people on the \u200cisland of Crete on Monday, saying they had dismantled a criminal gang suspected of defrauding the European Union of agricultural subsidies - the latest case in a growing \u200bscandal that has shaken the government.', 'start_date': '2026-05-25', 'source_count': 26, 'bias_src_count': 15, 'left_pct': 27.0, 'ctr_pct': 33.0, 'right_pct': 40.0, 'left_src_count': 4, 'ctr_src_count': 5, 'right_src_count': 6, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 1, 'high': 12, 'unknown': 11, 'veryHigh': 2}, 'interests': [], 'category': 'european-union'}, {'slug': 'eu-moves-to-sanction-iran-over-hormuz-blockade', 'story_id': 'de1cae42-ce45-4691-a9c5-c6d6d583a3be', 'title': 'EU Moves to Sanction Iran over Hormuz Blockade', 'description': 'Vessels in the Strait of Hormuz are visible near the beach of Bandar Abbas', 'start_date': '2026-05-24', 'source_count': 27, 'bias_src_count': 14, 'left_pct': 7.0, 'ctr_pct': 50.0, 'right_pct': 43.0, 'left_src_count': 1, 'ctr_src_count': 7, 'right_src_count': 6, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 4, 'high': 7, 'unknown': 13, 'veryHigh': 3}, 'interests': [], 'category': 'european-union'}, {'slug': 'germany-and-ukraine-expand-arms-cooperation', 'story_id': '789add1c-7036-46cb-80dd-b871b799493a', 'title': 'Germany, Ukraine Launch Brave Germany Defense Tech Program', 'description': 'German Defence Minister Pistorius and Ukrainian counterpart Fedorov attend a press conference in Kyiv', 'start_date': '2026-05-14', 'source_count': 16, 'bias_src_count': 8, 'left_pct': 50.0, 'ctr_pct': 37.0, 'right_pct': 13.0, 'left_src_count': 4, 'ctr_src_count': 3, 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Piatigorets as the New People's Deputy From “European Solidarity”. What Is Known About Him", 'description': 'The Greek police announced on Tuesday that 39 people were arrested in an extensive investigation carried out in Greece and at European level on the hijacking of millions of European Union (EU) agricultural subsidies, reports Agerpres with reference to AFP.', 'start_date': '2026-05-26', 'source_count': 4, 'bias_src_count': 2, 'left_pct': 100.0, 'ctr_pct': 0.0, 'right_pct': 0.0, 'left_src_count': 2, 'ctr_src_count': 0, 'right_src_count': 0, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 0, 'high': 0, 'unknown': 4, 'veryHigh': 0}, 'interests': ['5e3bf3aa-d32b-49a7-922d-4c9902d9c708', 'c915b65f-ee30-471f-9dac-5dca2e4bb3b7'], 'category': 'european-union'}, {'slug': 'von-der-leyen-warns-that-the-incursion-of-drones-into-the-baltics-may-extend-to-the-rest-of-europe', 'story_id': 'edc16ca4-c5d7-496d-b08c-bffa9252ca3e', 'title': 'Baltic Leaders Meet Von Der Leyen, Urge EU Actions Not Words over Drone Incursions', 'description': 'Lithuanian President Gitanas Nausėda said Tuesday that amid increasing violations of Baltic airspace, the European Union...', 'start_date': '2026-05-26', 'source_count': 11, 'bias_src_count': 2, 'left_pct': 100.0, 'ctr_pct': 0.0, 'right_pct': 0.0, 'left_src_count': 2, 'ctr_src_count': 0, 'right_src_count': 0, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 0, 'high': 5, 'unknown': 5, 'veryHigh': 1}, 'interests': ['0c91be9e-ee0a-4ab5-bc44-0a5cc7e8c904', '22c79489-63e8-41e0-9bde-6a857e9e56af', '5e3bf3aa-d32b-49a7-922d-4c9902d9c708', 'f0f7afe5-2e56-4ad5-98e8-ff5ca5b196a8', '145a4015-3c47-4c5c-bd36-f1101278672e', '4c87856e-b565-494e-9878-b7fa2719b8ab', 'edc16ca4-c5d7-496d-b08c-bffa9252ca3e'], 'category': 'european-union'}, {'slug': 'norway-has-summoned-russian-diplomat-over-threats-of-further-strikes-on-kyiv', 'story_id': '119f182a-da59-4600-bda5-aa50655f40ab', 'title': 'Diplomatic Tensions Escalate: Russia Faces International Summons Over Kyiv Threats', 'description': 'Germany, Norway, and the Netherlands, along with the European Union, have summoned Russian representatives over threats to strike Kyiv, urging foreigners to leave. The EU condemned these threats, maintaining their presence in Kyiv. 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This effort involves partnering with Swiss start-up Sun-Ways, which has invented movable solar panels that can be installed … Continue reading The world’s first removable solar power plant on a working rail line', 'start_date': '2026-05-26', 'source_count': 1, 'bias_src_count': 0, 'left_pct': None, 'ctr_pct': None, 'right_pct': None, 'left_src_count': None, 'ctr_src_count': None, 'right_src_count': None, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 0, 'high': 0, 'unknown': 1, 'veryHigh': 0}, 'interests': ['371a3886-2c44-402f-ba57-c10f9ff09b85', '6ad6a3be-a8a1-4c39-a559-6152a74f823e', '57d7c244-52db-4a19-a5d9-d339d948006c', '982ecb6a-587d-4b94-ae66-0c1f789c98da'], 'category': 'renewable-energy'}, {'slug': 'avoid-these-8-solar-mistakes-that-cut-your-power-output-in-half-i-learned-the-hard-way', 'story_id': '982ecb6a-587d-4b94-ae66-0c1f789c98da', 'title': 'Avoid these 8 solar mistakes that cut your power output in half - I learned the hard way', 'description': "Solar power can definitely save you money, but it requires a different mindset than with typical grid AC. 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Group revenues rose 3% year-on-year to PLN 3.6 billion (€844 million), while adjusted EBITDA increased 4.7% to PLN 847 million (€199 million), ahead of analyst expectations. The operator’s multiplay strategy continued to underpin performance. 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The pipeline exceeds €1 billion and targets Italian AI and cloud infrastructure, integrated with on-site renewables and self-consumption to create industrial, digital, and energy value. 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Analysts predict a potential long-term boom similar to what the coal industry experienced. This trend is driven by China's push towards green energy and sustainability.\nThis surge in demand is fueled by the Chinese government's emphasis…", 'start_date': '2026-05-26', 'source_count': 1, 'bias_src_count': 0, 'left_pct': None, 'ctr_pct': None, 'right_pct': None, 'left_src_count': None, 'ctr_src_count': None, 'right_src_count': None, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 0, 'high': 0, 'unknown': 1, 'veryHigh': 0}, 'interests': ['6ad6a3be-a8a1-4c39-a559-6152a74f823e', '967b8553-3f5d-43bf-9684-71c634b3195d', '1dc94f11-3cb5-4a1c-91c6-ed4384395bd0', '85e63d15-e909-4623-af37-53e91c305312', '982ecb6a-587d-4b94-ae66-0c1f789c98da', '2ae8dcd8-2059-4e45-b27a-508608423621'], 'category': 'renewable-energy'}, {'slug': 'indias-kpi-green-energy-eyes-1-billion-renewables-trust-launch-by-2028', 'story_id': '982ecb6a-587d-4b94-ae66-0c1f789c98da', 'title': "India's KPI Green Energy Eyes $1 Billion Renewables Trust Launch by 2028", 'description': 'India-based KPI Green Energy expects to raise up to $1 billion from the launch of an infrastructure investment trust backed by renewable energy assets, KP Group’s top executive told Reuters on Tuesday. KPI Green Energy Limited, a Gujarat-based solar and hybrid power generating company of KP Group, expects to launch the renewable infrastructure investment trust at the end of the 2027/2028 financial year, KP Group’s chairman and managing director,…', 'start_date': '2026-05-26', 'source_count': 1, 'bias_src_count': 0, 'left_pct': 0.0, 'ctr_pct': 100.0, 'right_pct': 0.0, 'left_src_count': 0, 'ctr_src_count': 1, 'right_src_count': 0, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 0, 'high': 1, 'unknown': 0, 'veryHigh': 0}, 'interests': ['6ad6a3be-a8a1-4c39-a559-6152a74f823e', '371a3886-2c44-402f-ba57-c10f9ff09b85', 'ddc54d20-1557-443c-8958-2f660363cf41', '982ecb6a-587d-4b94-ae66-0c1f789c98da'], 'category': 'renewable-energy'}, {'slug': 'hormuz-shutdown-sends-capital-flooding-back-into-renewables', 'story_id': '982ecb6a-587d-4b94-ae66-0c1f789c98da', 'title': 'Hormuz Shutdown Sends Capital Flooding Back Into Renewables', 'description': 'Concerns about energy security and the push in many countries to boost electrification to replace road transportation fuels are making clean energy investments hot again. As the Middle East crisis and the still closed Strait of Hormuz forces governments into action, renewable stocks and markets are poised for a rebound from institutional investors and hedge funds after a few years of weak returns, according to analysts, investors, and officials.…', 'start_date': '2026-05-26', 'source_count': 1, 'bias_src_count': 0, 'left_pct': 0.0, 'ctr_pct': 100.0, 'right_pct': 0.0, 'left_src_count': 0, 'ctr_src_count': 1, 'right_src_count': 0, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 0, 'high': 1, 'unknown': 0, 'veryHigh': 0}, 'interests': ['6ad6a3be-a8a1-4c39-a559-6152a74f823e', '982ecb6a-587d-4b94-ae66-0c1f789c98da'], 'category': 'renewable-energy'}], 'technology': [], 'denmark': [{'slug': 'denmarks-queen-margrethe-hospitalized-after-fall_933a75', 'story_id': '3592b7d3-7594-4116-9292-9316e878bb87', 'title': 'Denmark’s Queen Hospitalized Again After Scan Reveals Blood Clot', 'description': 'Queen Margrethe of Denmark has been hospitalized again after doctors discovered a blood clot following a recent series', 'start_date': '2026-05-26', 'source_count': 62, 'bias_src_count': 30, 'left_pct': 20.0, 'ctr_pct': 23.0, 'right_pct': 57.0, 'left_src_count': 6, 'ctr_src_count': 7, 'right_src_count': 17, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 4, 'high': 20, 'unknown': 32, 'veryHigh': 6}, 'interests': ['d2b91657-d8ef-458d-817d-bb56cd54cb40', '4380ecaa-ae13-4c0b-a2da-5601cdff578a', '88119cf0-6b92-4e59-9491-0d6ae00204b8', '3592b7d3-7594-4116-9292-9316e878bb87'], 'category': 'denmark'}, {'slug': 'denmarks-frederiksen-gets-new-chance-to-form-government-after-centre-right-talks-fail', 'story_id': 'e88365bb-5465-48d0-8788-11d550b26aa1', 'title': "Denmark's Frederiksen gets new chance to form government after centre-right talks fail", 'description': "DENMARK-POLITICS-VOTE-ROYALS; Author: Emil Helms / Ritzau Scanpix / AFP via Getty Images; Getty Caption: Denmark's acting Prime Minister Mette Frederiksen speaks with journalists after her visit to the Danish King at Amalienborg Palace in Copenhagen, Den…", 'start_date': '2026-05-23', 'source_count': 27, 'bias_src_count': 13, 'left_pct': 23.0, 'ctr_pct': 38.0, 'right_pct': 39.0, 'left_src_count': 3, 'ctr_src_count': 5, 'right_src_count': 5, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 2, 'high': 7, 'unknown': 14, 'veryHigh': 4}, 'interests': [], 'category': 'denmark'}, {'slug': 'birthday-party-with-sore-muscles-king-frederik-becomes-58', 'story_id': '88119cf0-6b92-4e59-9491-0d6ae00204b8', 'title': 'Federico X Turns 58 with Half an Empty Balcony and Denmark Pending the Health of Margarita II', 'description': 'The 58th birthday of King Frederick X of Denmark has been marked by emotion, tradition and, at the same time, by an obvious concern within the Danish royal family. 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Ingen personer er såret.', 'start_date': '2026-05-26', 'source_count': 4, 'bias_src_count': 1, 'left_pct': 0.0, 'ctr_pct': 0.0, 'right_pct': 100.0, 'left_src_count': 0, 'ctr_src_count': 0, 'right_src_count': 1, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 0, 'high': 1, 'unknown': 3, 'veryHigh': 0}, 'interests': ['88119cf0-6b92-4e59-9491-0d6ae00204b8'], 'category': 'denmark'}, {'slug': 'charged-with-attempted-murder-after-throwing-a-hand-grenade-pleads-not-guilty', 'story_id': '88119cf0-6b92-4e59-9491-0d6ae00204b8', 'title': 'Young Men Deny Attempted Murder with Hand Grenade', 'description': 'From now on, journalist Kathrine Abrahamsen will be the host together with Simon Toftgaard Jespersen on Grøn.', 'start_date': '2026-05-26', 'source_count': 4, 'bias_src_count': 1, 'left_pct': 0.0, 'ctr_pct': 0.0, 'right_pct': 100.0, 'left_src_count': 0, 'ctr_src_count': 0, 'right_src_count': 1, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 0, 'high': 2, 'unknown': 2, 'veryHigh': 0}, 'interests': ['88119cf0-6b92-4e59-9491-0d6ae00204b8'], 'category': 'denmark'}, {'slug': 'lokke-wants-to-cut-the-number-of-ministers-in-a-new-government', 'story_id': '88119cf0-6b92-4e59-9491-0d6ae00204b8', 'title': 'Løkke Wants to Cut the Number of Ministers in a New Government', 'description': 'The current government with the Moderates has 25 ministerial positions. 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'ctr_src_count': None, 'right_src_count': None, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 0, 'high': 0, 'unknown': 1, 'veryHigh': 0}, 'interests': ['1b60b8df-5d92-463b-9721-2009cb2ad948', '88119cf0-6b92-4e59-9491-0d6ae00204b8', '1e01d8ae-840e-486b-b07c-dc3143eeeb50', '789add1c-7036-46cb-80dd-b871b799493a'], 'category': 'denmark-economy'}, {'slug': 'sages-advise-against-temporary-relief-on-fuel-taxes', 'story_id': '789add1c-7036-46cb-80dd-b871b799493a', 'title': 'The Sages on Six Hot Topics in Denmark Right Now', 'description': 'The room for maneuver is less than expected, it would be foolish to lower taxes on fuel, and then inflation could hit 4.7 percent next year.', 'start_date': '2026-05-26', 'source_count': 3, 'bias_src_count': 0, 'left_pct': 100.0, 'ctr_pct': 0.0, 'right_pct': 0.0, 'left_src_count': 1, 'ctr_src_count': 0, 'right_src_count': 0, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 0, 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The economy is being helped in this by strong sales from Denmark's large pharmaceutical sector, including, for example, the major producer of weight-loss products Novo Nordisk. The Danish Ministry of Economic Affairs stated this on Saturday.", 'start_date': '2026-05-23', 'source_count': 3, 'bias_src_count': 1, 'left_pct': 100.0, 'ctr_pct': 0.0, 'right_pct': 0.0, 'left_src_count': 1, 'ctr_src_count': 0, 'right_src_count': 0, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 0, 'high': 1, 'unknown': 2, 'veryHigh': 0}, 'interests': ['c78f5f18-5fb1-492b-b01c-6be4635a37af', '1312995d-f654-4c79-a587-178bfcf52000', '63ae36d2-e0ca-4a83-8303-12469dc46446', 'adfba147-b23b-4ea7-96b9-b85e51418a52', '88119cf0-6b92-4e59-9491-0d6ae00204b8', '1e01d8ae-840e-486b-b07c-dc3143eeeb50', '789add1c-7036-46cb-80dd-b871b799493a', '3592b7d3-7594-4116-9292-9316e878bb87'], 'category': 'denmark-economy'}, {'slug': 'this-european-wind-turbine-manufacturer-is-raking-in-record-profits', 'story_id': '789add1c-7036-46cb-80dd-b871b799493a', 'title': 'This European Wind Turbine Manufacturer Is Raking in Record Profits', 'description': 'Caught between inflation and the scarcity of tenders, wind energy manufacturers were experiencing a difficult period, under financial pressure. Now the picture is much less bleak with net results predicted to be positive. After two dark years of delayed or abandoned projects and minimal margins, wind energy manufacturers finally seem to be back on track. The Danish group Vestas announced a strong improvement in the first quarter of 2026, with a …', 'start_date': '2026-05-21', 'source_count': 1, 'bias_src_count': 1, 'left_pct': 100.0, 'ctr_pct': 0.0, 'right_pct': 0.0, 'left_src_count': 1, 'ctr_src_count': 0, 'right_src_count': 0, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 0, 'high': 0, 'unknown': 1, 'veryHigh': 0}, 'interests': ['1b60b8df-5d92-463b-9721-2009cb2ad948', '88119cf0-6b92-4e59-9491-0d6ae00204b8', '1e01d8ae-840e-486b-b07c-dc3143eeeb50', '789add1c-7036-46cb-80dd-b871b799493a'], 'category': 'denmark-economy'}, {'slug': 'dark-clouds-on-the-horizon-kerteminde-municipalitys-economy-is-under-severe-pressure-kjerteminde-avis', 'story_id': '789add1c-7036-46cb-80dd-b871b799493a', 'title': "Dark Clouds on the Horizon: Kerteminde Municipality's Economy Is Under Severe Pressure – Kjerteminde Avis", 'description': '', 'start_date': '2026-05-21', 'source_count': 1, 'bias_src_count': 1, 'left_pct': 0.0, 'ctr_pct': 0.0, 'right_pct': 100.0, 'left_src_count': 0, 'ctr_src_count': 0, 'right_src_count': 1, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 0, 'high': 0, 'unknown': 1, 'veryHigh': 0}, 'interests': ['63ae36d2-e0ca-4a83-8303-12469dc46446', '88119cf0-6b92-4e59-9491-0d6ae00204b8', '1e01d8ae-840e-486b-b07c-dc3143eeeb50', '789add1c-7036-46cb-80dd-b871b799493a'], 'category': 'denmark-economy'}, {'slug': 'eif-commits-eur-200-million-to-copenhagen-infrastructure-partners-to-scale-european-biogas-production', 'story_id': '789add1c-7036-46cb-80dd-b871b799493a', 'title': 'EIF commits EUR 200 million to Copenhagen Infrastructure Partners to scale European biogas production', 'description': 'EIF backs CIP’s Advanced Bioenergy Fund II (ABF II) with EUR 200 million to scale biomethane and advanced bioenergy production in EuropeABF II is officially launched with EIF cornerstone investmentBacked by InvestEU, financing supports Europe’s energy security and climate goals', 'start_date': '2026-05-21', 'source_count': 4, 'bias_src_count': 0, 'left_pct': 100.0, 'ctr_pct': 0.0, 'right_pct': 0.0, 'left_src_count': 1, 'ctr_src_count': 0, 'right_src_count': 0, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 0, 'high': 1, 'unknown': 3, 'veryHigh': 0}, 'interests': ['63ae36d2-e0ca-4a83-8303-12469dc46446', '88119cf0-6b92-4e59-9491-0d6ae00204b8', '1e01d8ae-840e-486b-b07c-dc3143eeeb50', '789add1c-7036-46cb-80dd-b871b799493a'], 'category': 'denmark-economy'}], 'nordic': [], 'scandinavia': [], 'healthcare': [{'slug': 'trump-declares-himself-in-perfect-health-after-physical-exam_7f6002', 'story_id': '61695d37-7f99-48b7-a180-7cf4ec8a84df', 'title': 'Trump declares himself in perfect health after physical exam', 'description': 'US-POLITICS-ECONOMY-TRUMP; Author: Brendan SMIALOWSKI / AFP via Getty Images; Getty Caption: US President Donald Trump delivers a speech about the economy at Rockland Community College Fieldhouse in Suffern, New York, on May 22, 2026. Trump is the first …', 'start_date': '2026-05-26', 'source_count': 68, 'bias_src_count': 52, 'left_pct': 31.0, 'ctr_pct': 34.0, 'right_pct': 35.0, 'left_src_count': 16, 'ctr_src_count': 18, 'right_src_count': 18, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 1, 'low': 3, 'mixed': 11, 'high': 22, 'unknown': 16, 'veryHigh': 15}, 'interests': [], 'category': 'healthcare'}, {'slug': 'the-rare-ebola-outbreak-is-one-danger-attacks-on-healthcare-workers-are-another_34cf8d', 'story_id': 'da6e077e-d665-4b66-9139-ec832f160ab1', 'title': 'The rare Ebola outbreak is one danger. Attacks on healthcare workers are another', 'description': 'Health workers responding to a rapidly spreading outbreak of a rare type of Ebola in eastern Congo face two threats. They risk contracting the virus and encounter hostility from wary locals. Aid workers are especially vulnerable in this volatile region…', 'start_date': '2026-05-25', 'source_count': 48, 'bias_src_count': 39, 'left_pct': 41.0, 'ctr_pct': 46.0, 'right_pct': 13.0, 'left_src_count': 16, 'ctr_src_count': 18, 'right_src_count': 5, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 1, 'mixed': 1, 'high': 24, 'unknown': 9, 'veryHigh': 13}, 'interests': ['f2cf3e31-4bd7-49bc-a186-a30663dc480a', 'd02e2acc-2d6c-46c1-b3d2-a968a70f66f6', 'da6e077e-d665-4b66-9139-ec832f160ab1'], 'category': 'healthcare'}, {'slug': 'the-cruise-ship-at-center-of-a-deadly-hantavirus-outbreak-has-to-undergo-extra-cleaning', 'story_id': '3592b7d3-7594-4116-9292-9316e878bb87', 'title': 'The cruise ship at center of a deadly hantavirus outbreak has to undergo extra cleaning', 'description': 'FILE PHOTO: The cruise ship MV Hondius, affected by a hantavirus outbreak, at the port of Granadilla de Abona, Tenerife', 'start_date': '2026-05-26', 'source_count': 21, 'bias_src_count': 18, 'left_pct': 50.0, 'ctr_pct': 33.0, 'right_pct': 17.0, 'left_src_count': 9, 'ctr_src_count': 6, 'right_src_count': 3, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 0, 'high': 11, 'unknown': 3, 'veryHigh': 7}, 'interests': [], 'category': 'healthcare'}, {'slug': 'crown-prince-haakon-mette-marit-has-gotten-worse', 'story_id': '58646f5b-2104-46f6-89a2-f3df65a06d9c', 'title': "Norway Crown Prince 'Worried' About Wife's Health", 'description': "Norway's Crown Prince Haakon said Tuesday he was concerned about the health of his wife Princess Mette-Marit, who suffers from an incurable lung illness and whose condition he said has worsened recently.", 'start_date': '2026-05-26', 'source_count': 18, 'bias_src_count': 11, 'left_pct': 9.0, 'ctr_pct': 27.0, 'right_pct': 64.0, 'left_src_count': 1, 'ctr_src_count': 3, 'right_src_count': 7, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 1, 'high': 6, 'unknown': 7, 'veryHigh': 4}, 'interests': ['e959be8e-c7b2-4a7d-bd02-085354c537e3', '76d2d2cf-9547-45fa-b146-78ba7ea5f035', '4380ecaa-ae13-4c0b-a2da-5601cdff578a', '99e4f405-330c-4bdc-b1b8-d77cba5b257b', '3592b7d3-7594-4116-9292-9316e878bb87', '58646f5b-2104-46f6-89a2-f3df65a06d9c'], 'category': 'healthcare'}, {'slug': 'attacks-on-health-facilities-complicate-fight-against-ebola-epidemic-in-congo-seznam-zpravy', 'story_id': '3592b7d3-7594-4116-9292-9316e878bb87', 'title': 'Armed Violence, Skepticism Threaten Congo’s Fight Against Deadly Ebola Strain', 'description': 'Every time Vanny Birungi, a volunteer with the Red Cross in eastern Congo, goes out to raise awareness about the latest Ebola outbreak as suspected cases near 1,000, she faces a double threat.One is the rare Bundibugyo type of Ebola, with no vaccine or treatment. The other is the anger and suspicion of residents who have pelted her with stones and verbal abuse in Bunia, a city at the heart of the outbreak.We continue to tell them that the diseas…', 'start_date': '2026-05-25', 'source_count': 7, 'bias_src_count': 11, 'left_pct': 9.0, 'ctr_pct': 27.0, 'right_pct': 64.0, 'left_src_count': 1, 'ctr_src_count': 3, 'right_src_count': 7, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 2, 'high': 0, 'unknown': 2, 'veryHigh': 3}, 'interests': ['4380ecaa-ae13-4c0b-a2da-5601cdff578a', 'f2cf3e31-4bd7-49bc-a186-a30663dc480a', '3592b7d3-7594-4116-9292-9316e878bb87'], 'category': 'healthcare'}, {'slug': 'the-cruise-ship-at-center-of-a-deadly-hantavirus-outbreak-has-to-undergo-extra-cleaning', 'story_id': '3592b7d3-7594-4116-9292-9316e878bb87', 'title': 'The cruise ship at center of a deadly hantavirus outbreak has to undergo extra cleaning', 'description': 'FILE PHOTO: The cruise ship MV Hondius, affected by a hantavirus outbreak, at the port of Granadilla de Abona, Tenerife', 'start_date': '2026-05-26', 'source_count': 21, 'bias_src_count': 18, 'left_pct': 50.0, 'ctr_pct': 33.0, 'right_pct': 17.0, 'left_src_count': 9, 'ctr_src_count': 6, 'right_src_count': 3, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 0, 'high': 11, 'unknown': 3, 'veryHigh': 7}, 'interests': [], 'category': 'healthcare'}, {'slug': 'trump-undergoes-physical-exam-at-walter-reed', 'story_id': '61695d37-7f99-48b7-a180-7cf4ec8a84df', 'title': 'Trump undergoes physical exam at Walter Reed', 'description': 'Trump undergoes physical exam at Walter Reed', 'start_date': '2026-05-26', 'source_count': 2, 'bias_src_count': 2, 'left_pct': 100.0, 'ctr_pct': 0.0, 'right_pct': 0.0, 'left_src_count': 2, 'ctr_src_count': 0, 'right_src_count': 0, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 1, 'mixed': 0, 'high': 0, 'unknown': 0, 'veryHigh': 1}, 'interests': ['8b223185-2fd4-4b75-a579-31d28ba828a4', '4380ecaa-ae13-4c0b-a2da-5601cdff578a', 'c0a8d7b4-47d0-4e3a-91d1-bf990244b963', '3592b7d3-7594-4116-9292-9316e878bb87', '61695d37-7f99-48b7-a180-7cf4ec8a84df'], 'category': 'healthcare'}, {'slug': 'the-rare-ebola-outbreak-is-one-danger-attacks-on-healthcare-workers-are-another_34cf8d', 'story_id': 'da6e077e-d665-4b66-9139-ec832f160ab1', 'title': 'The rare Ebola outbreak is one danger. 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Part of the answer lies in lifestyle and the side effects of medications. 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Aerial video from Sky5 over the [...]', 'start_date': '2026-05-22', 'source_count': 16, 'bias_src_count': 8, 'left_pct': 25.0, 'ctr_pct': 75.0, 'right_pct': 0.0, 'left_src_count': 2, 'ctr_src_count': 6, 'right_src_count': 0, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 0, 'high': 2, 'unknown': 8, 'veryHigh': 6}, 'interests': ['96354046-1f81-476d-bf4c-acad68d07816', '4380ecaa-ae13-4c0b-a2da-5601cdff578a', '188f6aee-6687-4cce-93ab-0d9bf0b28642', '25975461-6769-41fd-82be-f6acca7a5656', 'c65b1eba-8332-4f1f-a3a1-eee05e4c043a', '789add1c-7036-46cb-80dd-b871b799493a', '3592b7d3-7594-4116-9292-9316e878bb87'], 'category': 'investing'}, {'slug': 'softbanks-go-big-or-go-home-ai-bets-fire-up-markets-as-ipos-near_3aa5cd', 'story_id': 'f96f240e-1a6a-4091-9d26-3055c43a97de', 'title': 'SoftBank’s ‘Go Big or Go Home’ AI Bets Fire Up Markets as IPOs Near', 'description': 'The Nikkei is quickly becoming the land of the rising Masayoshi Son. The audacious businessman’s SoftBank surged 10.9% in Tokyo on Tuesday to a new record high. The white-hot stock is now up 46% in the past five days of trading, propelled by Son’s “go big or go home” bets on artificial intelligence. Killer Strategy Son is known as the ojin-kiraah or “old man killer.” The sobriquet is not as macabre as it sounds, referring to his ability to charm…', 'start_date': '2026-05-26', 'source_count': 2, 'bias_src_count': 8, 'left_pct': 25.0, 'ctr_pct': 75.0, 'right_pct': 0.0, 'left_src_count': 2, 'ctr_src_count': 6, 'right_src_count': 0, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 0, 'high': 1, 'unknown': 1, 'veryHigh': 0}, 'interests': ['383b6270-8721-4b17-b57d-94f2d7666121', 'f5bf64e1-2a96-4e93-80d3-a2bf9c8edd29', 'a2fb5024-ec9b-4b21-b16b-0bdc8eb736fe', 'e5f53581-c6cd-4dd0-b461-8d870a92adb4', 'c7cb94ca-63a5-477d-9fbe-aef13db092e6', '9adf24e4-3a8f-4f95-99e7-b579db60962c', 'f9c0489b-ccad-4b40-93a9-254182679b42', '1b4a7834-f261-4fea-a4cb-ee879338d327', '789add1c-7036-46cb-80dd-b871b799493a', 'f96f240e-1a6a-4091-9d26-3055c43a97de'], 'category': 'investing'}, {'slug': 'how-do-ai-software-fit-into-warehouse-robotics', 'story_id': '789add1c-7036-46cb-80dd-b871b799493a', 'title': 'How do AI, software fit into warehouse robotics?', 'description': 'Investing in intelligent software systems is crucial for warehouse operators that employ robotics within their operations.', 'start_date': '2026-05-26', 'source_count': 1, 'bias_src_count': 1, 'left_pct': 0.0, 'ctr_pct': 100.0, 'right_pct': 0.0, 'left_src_count': 0, 'ctr_src_count': 1, 'right_src_count': 0, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 0, 'high': 0, 'unknown': 0, 'veryHigh': 1}, 'interests': ['188f6aee-6687-4cce-93ab-0d9bf0b28642', 'ee385778-41f4-441d-8888-fc12d379054f', 'c7cb94ca-63a5-477d-9fbe-aef13db092e6', '789add1c-7036-46cb-80dd-b871b799493a'], 'category': 'investing'}, {'slug': 'softbanks-go-big-or-go-home-ai-bets-fire-up-markets-as-ipos-near_3aa5cd', 'story_id': 'f96f240e-1a6a-4091-9d26-3055c43a97de', 'title': 'SoftBank’s ‘Go Big or Go Home’ AI Bets Fire Up Markets as IPOs Near', 'description': 'The Nikkei is quickly becoming the land of the rising Masayoshi Son. The audacious businessman’s SoftBank surged 10.9% in Tokyo on Tuesday to a new record high. The white-hot stock is now up 46% in the past five days of trading, propelled by Son’s “go big or go home” bets on artificial intelligence. Killer Strategy Son is known as the ojin-kiraah or “old man killer.” The sobriquet is not as macabre as it sounds, referring to his ability to charm…', 'start_date': '2026-05-26', 'source_count': 2, 'bias_src_count': 1, 'left_pct': 0.0, 'ctr_pct': 100.0, 'right_pct': 0.0, 'left_src_count': 0, 'ctr_src_count': 1, 'right_src_count': 0, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 0, 'high': 1, 'unknown': 1, 'veryHigh': 0}, 'interests': ['383b6270-8721-4b17-b57d-94f2d7666121', 'f5bf64e1-2a96-4e93-80d3-a2bf9c8edd29', 'a2fb5024-ec9b-4b21-b16b-0bdc8eb736fe', 'e5f53581-c6cd-4dd0-b461-8d870a92adb4', 'c7cb94ca-63a5-477d-9fbe-aef13db092e6', '9adf24e4-3a8f-4f95-99e7-b579db60962c', 'f9c0489b-ccad-4b40-93a9-254182679b42', '1b4a7834-f261-4fea-a4cb-ee879338d327', '789add1c-7036-46cb-80dd-b871b799493a', 'f96f240e-1a6a-4091-9d26-3055c43a97de'], 'category': 'investing'}, {'slug': 'investment-is-it-for-everyone-or-just-for-those-who-have-money', 'story_id': '789add1c-7036-46cb-80dd-b871b799493a', 'title': 'Investment: Is It for Everyone or Just for Those Who Have Money?', 'description': 'Investing is only for those who have a lot of money? We demystify ideas about investment and show that starting can be easier than you think, with Catherine Inácio and Raffik Baldé, than Rico Couple.', 'start_date': '2026-05-25', 'source_count': 1, 'bias_src_count': 1, 'left_pct': 0.0, 'ctr_pct': 100.0, 'right_pct': 0.0, 'left_src_count': 0, 'ctr_src_count': 1, 'right_src_count': 0, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 0, 'high': 1, 'unknown': 0, 'veryHigh': 0}, 'interests': ['188f6aee-6687-4cce-93ab-0d9bf0b28642', 'e74bed82-08a6-43d2-8f49-7841291f9db0', '789add1c-7036-46cb-80dd-b871b799493a'], 'category': 'investing'}, {'slug': 'investing-in-the-stock-exchange-how-to-buy-shares-and-sell-them-at-best', 'story_id': '789add1c-7036-46cb-80dd-b871b799493a', 'title': 'Investing in the Stock Exchange: How to Buy Shares and Sell Them at Best?', 'description': 'When you want to start investing on the stock exchange, it is necessary to ask yourself the right questions. What elements are to be taken into account before buying shares? How to target the companies and sectors to be preferred on the stock exchange? What behaviour should be adopted when holding them?', 'start_date': '2026-05-24', 'source_count': 1, 'bias_src_count': 1, 'left_pct': 0.0, 'ctr_pct': 100.0, 'right_pct': 0.0, 'left_src_count': 0, 'ctr_src_count': 1, 'right_src_count': 0, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 0, 'high': 1, 'unknown': 0, 'veryHigh': 0}, 'interests': ['188f6aee-6687-4cce-93ab-0d9bf0b28642', '57d7c244-52db-4a19-a5d9-d339d948006c', '789add1c-7036-46cb-80dd-b871b799493a'], 'category': 'investing'}, {'slug': 'investing-in-the-countries-competing-in-the-world-cup_ccb307', 'story_id': '789add1c-7036-46cb-80dd-b871b799493a', 'title': 'Investing in the countries competing in the World Cup', 'description': 'Following the FA Cup Final on Saturday, football fans will be turning their attention to the\xa0World Cup. With the first game due to kick off on\xa011 June\xa0as Mexico face South Africa, the\xa0Association of Investment Companies (AIC)\xa0has estimated how much exposure investment trusts have to each qualifying country. This year there are\xa048 countries\xa0competing, including\xa0England\xa0and\xa0Scotland. While the two nations are fielding different teams, the availabl…', 'start_date': '2026-05-24', 'source_count': 1, 'bias_src_count': 1, 'left_pct': 0.0, 'ctr_pct': 0.0, 'right_pct': 100.0, 'left_src_count': 0, 'ctr_src_count': 0, 'right_src_count': 1, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 0, 'high': 0, 'unknown': 1, 'veryHigh': 0}, 'interests': ['188f6aee-6687-4cce-93ab-0d9bf0b28642', 'a7c81965-59dd-4871-a375-b1cceb9ba0eb', '75171d6a-3204-4adb-9cec-2d1e6a57caa5', '781ae982-0174-43e7-9a62-f78ec922fc66', '789add1c-7036-46cb-80dd-b871b799493a'], 'category': 'investing'}, {'slug': 'letter-canada-must-champion-pandemic-preparedness-at-g7-summit', 'story_id': '789add1c-7036-46cb-80dd-b871b799493a', 'title': 'LETTER: Canada must champion pandemic preparedness at G7 Summit', 'description': "'Investing in vaccine innovation today means a safer, more prepared tomorrow,' a reader writes", 'start_date': '2026-05-24', 'source_count': 1, 'bias_src_count': 1, 'left_pct': 0.0, 'ctr_pct': 0.0, 'right_pct': 100.0, 'left_src_count': 0, 'ctr_src_count': 0, 'right_src_count': 1, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 0, 'high': 1, 'unknown': 0, 'veryHigh': 0}, 'interests': ['188f6aee-6687-4cce-93ab-0d9bf0b28642', '108dd885-432a-4027-87ab-815cf14bfd97', 'b2438b26-38e4-45a3-aaba-e2aaf68780de', '789add1c-7036-46cb-80dd-b871b799493a'], 'category': 'investing'}, {'slug': 'axt-stock-the-time-to-be-really-greedy-is-over-nasdaq-axti', 'story_id': '789add1c-7036-46cb-80dd-b871b799493a', 'title': 'AXT Stock: The Time To Be Really Greedy Is Over (NASDAQ:AXTI)', 'description': 'This article was written by \nFollow \nHi! I’m a passionate investor who has been researching publically traded companies for over 6 years. My primary focus is on identifying great businesses at reasonable prices and holding them for the long term but I also dive into trend following strategies from time to time. While I have a slight bias toward technology companies, I maintain a broad perspective, including opportunities in crypto. I take a glob…', 'start_date': '2026-05-24', 'source_count': 1, 'bias_src_count': 0, 'left_pct': 100.0, 'ctr_pct': 0.0, 'right_pct': 0.0, 'left_src_count': 1, 'ctr_src_count': 0, 'right_src_count': 0, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 1, 'high': 0, 'unknown': 0, 'veryHigh': 0}, 'interests': ['188f6aee-6687-4cce-93ab-0d9bf0b28642', 'f2bbb6f9-0833-4a92-a229-397c2bd005a9', '789add1c-7036-46cb-80dd-b871b799493a'], 'category': 'investing'}, {'slug': 'why-young-people-are-gambling-to-get-ahead', 'story_id': '789add1c-7036-46cb-80dd-b871b799493a', 'title': 'Why Young People Are Gambling To Get Ahead', 'description': 'Why Young People Are Gambling To Get Ahead The transformation of the markets from a convenient way to raise capital for production into a type of casino is a warning sign. As is the participation of the masses through outfits like Robin Hood, a broker that democratized gambling, disguising it as speculation or investing. It’s a tip-off we’re probably at a top in the broad market. Doug Casey Sun, 05/24/2026', 'start_date': '2026-05-24', 'source_count': 1, 'bias_src_count': 1, 'left_pct': 100.0, 'ctr_pct': 0.0, 'right_pct': 0.0, 'left_src_count': 1, 'ctr_src_count': 0, 'right_src_count': 0, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 0, 'high': 0, 'unknown': 1, 'veryHigh': 0}, 'interests': ['188f6aee-6687-4cce-93ab-0d9bf0b28642', '789add1c-7036-46cb-80dd-b871b799493a'], 'category': 'investing'}, {'slug': 'how-to-assess-the-risks-of-investing-in-shares', 'story_id': '789add1c-7036-46cb-80dd-b871b799493a', 'title': 'How to Assess the Risks of Investing in Shares', 'description': 'Why Young People Are Gambling To Get Ahead The transformation of the markets from a convenient way to raise capital for production into a type of casino is a warning sign. As is the participation of the masses through outfits like Robin Hood, a broker that democratized gambling, disguising it as speculation or investing. It’s a tip-off we’re probably at a top in the broad market. Doug Casey Sun, 05/24/2026', 'start_date': '2026-05-24', 'source_count': 1, 'bias_src_count': 1, 'left_pct': 100.0, 'ctr_pct': 0.0, 'right_pct': 0.0, 'left_src_count': 1, 'ctr_src_count': 0, 'right_src_count': 0, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 0, 'high': 0, 'unknown': 1, 'veryHigh': 0}, 'interests': ['188f6aee-6687-4cce-93ab-0d9bf0b28642', 'd3bf8fd3-92a3-4194-8d25-74d455e43842', '789add1c-7036-46cb-80dd-b871b799493a'], 'category': 'investing'}, {'slug': 'canadian-companies-warn-of-challenges-in-investing-in-mexico', 'story_id': '789add1c-7036-46cb-80dd-b871b799493a', 'title': 'Canadian Companies Warn of Challenges in Investing in Mexico', 'description': 'Find out how to properly assess the risks of investment in actions through fundamental analysis, financial indicators and diversification strategies.', 'start_date': '2026-05-23', 'source_count': 1, 'bias_src_count': 1, 'left_pct': 0.0, 'ctr_pct': 0.0, 'right_pct': 100.0, 'left_src_count': 0, 'ctr_src_count': 0, 'right_src_count': 1, 'overall_bias': None, 'blindspot': None, 'factuality': {'veryLow': 0, 'low': 0, 'mixed': 0, 'high': 0, 'unknown': 1, 'veryHigh': 0}, 'interests': ['188f6aee-6687-4cce-93ab-0d9bf0b28642', 'b5c32417-237e-4027-b1c8-18c4f00fcdaa', '789add1c-7036-46cb-80dd-b871b799493a'], 'category': 'investing'}], 'logistics': []} nye artikler fra Ground News +[runner] Henter danske RSS feeds … + 💾 Børsen (cache) + 💾 Finans.dk (top) (cache) + 💾 Finans.dk (seneste) (cache) + 💾 Politiken økonomi (cache) + +0 nye artikler fra RSS feeds + +[runner] Kører NLP analyse … +[analyze] 788 articles to process (force=False dry_run=False claude=True) +[analyze] Phase 1: alias screen + coverage filter … +[analyze] 12/788 passed (0 dropped by coverage filter) +[analyze] Phase 2: NER upgrade … +[analyze] Loading dslim/bert-base-NER … +Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads. +[analyze] Phase 3: fetching full text for 12 articles … + 5/12: finans-top-efter-bare-fire-aar-flatpay-runder-100000-ku + 10/12: ema-backs-options-for-broadening-obesity-care-in-europe + 12/12: weaning-of-slimming-pens-requires-care-young-pan +[analyze] 12 articles with confirmed C25 mentions +[analyze] Phase 4: FinBERT sentiment … +[analyze] Loading ProsusAI/finbert … + [claude] borsen-medie-novo-har-nedlagt-internt-klimarad + [claude] borsen-c25-aktie-ses-stige-27-pct-sadan-abner-mark + [claude] finans-top-novo-nedlaegger-internt-klimaraad-i-sti + [claude] finans-top-midt-i-hormuzkrisen-krav-fra-energinet- + [claude] finans-top-efter-bare-fire-aar-flatpay-runder-1000 + [claude] finans-seneste-markedsoversigt-afventende-aktiedag + [claude] finans-seneste-tirsdagens-aktier-aktiekoeb-loefted + [claude] study-glp-1s-may-hinder-cancer-spread + [claude] ozivy-ems-slimming-pen-will-reach-the-pharmacies-a + [claude] ema-backs-options-for-broadening-obesity-care-in-e + [claude] is-ozempic-the-death-blow-for-the-hamburger-chains + [claude] weaning-of-slimming-pens-requires-care-young-pan +[analyze] Done. 14 signals written, 0 alerts triggered. + +[runner] Evaluerer ordre-forslag … + +══════════════════════════════════════════════════════════════════ + MONEYMAKER ORDRE-FORSLAG · 26 May 2026 20:05 UTC + Kapital: 10,000 kr │ Brugt: 0 kr │ Åbne: 0/3 │ Pr. pos: 3,333 kr +══════════════════════════════════════════════════════════════════ + + Ingen klare KØB-signaler lige nu. + + 🔍 FØLG MED (signal endnu ikke klart nok) + ────────────────────────────────────────────────────────────── + NOVO-B 287 kr │ analytikere: HOLD + DANSKE 334 kr │ signal 0.12 < 0.35 + VWS 191 kr │ signal 0.11 < 0.35 + GN 97 kr │ signal 0.10 < 0.35 + + Forklaring: + Stop-loss = sælg automatisk hvis kurs falder 10% fra dit køb + Take-profit = sælg hvis kurs stiger 25% — tag gevinsten hjem + KØB-krav = signal≥0.25 + analytikere siger KØB + begge peger samme vej + + SKIP NOVO-B — analyst=HOLD 🟡 + +[runner] Pipeline færdig. + diff --git a/portfolio.py b/portfolio.py new file mode 100644 index 0000000..32af670 --- /dev/null +++ b/portfolio.py @@ -0,0 +1,369 @@ +""" +portfolio.py — Position tracker + ordre-forslag + +Kommandoer: + python portfolio.py orders → dagens køb/sælg/hold forslag + python portfolio.py status → åbne positioner + stop/take + python portfolio.py buy TICKER N PRIS → registrer et køb + python portfolio.py sell TICKER PRIS → registrer et salg + +Eksempel: + python portfolio.py buy VWS 11 195.00 + python portfolio.py sell VWS 244.00 +""" + +import sys +import json +import time +import sqlite3 +from pathlib import Path +from datetime import datetime, timezone + +import yfinance as yf +from db import get_conn, DBConn + +# --------------------------------------------------------------------------- +# Config — justér disse +# --------------------------------------------------------------------------- + +CAPITAL = 10_000 # DKK total kapital +MAX_POSITIONS = 3 # maks åbne positioner ad gangen +STOP_LOSS_PCT = 0.08 # sælg hvis -8% fra indgang +TAKE_PROFIT_PCT = 0.20 # sælg hvis +20% fra indgang +MIN_SIGNAL = 0.35 # minimum signal_score for KØB +BUY_ANALYST = {"stærk køb", "køb"} # dansk label fra analyst_rec() + +C25_PATH = Path(__file__).parent / "c25.json" + +# --------------------------------------------------------------------------- +# DB setup +# --------------------------------------------------------------------------- + +def get_db() -> DBConn: + """Return a DBConn wrapper. Schema is managed by db.py.""" + return get_conn() + + +# --------------------------------------------------------------------------- +# Hjælpere +# --------------------------------------------------------------------------- + +def _c25_map() -> dict: + data = json.loads(C25_PATH.read_text()) + # c25.json er en dict med ticker som nøgle (plus _meta) + return {k: v for k, v in data.items() if k != "_meta"} + + +def _current_price(ticker_yahoo: str) -> float | None: + try: + info = yf.Ticker(ticker_yahoo).fast_info + return round(float(info.last_price), 2) + except Exception: + return None + + +def _analyst_label(ticker_yahoo: str) -> tuple[str, int]: + """Returnerer (dansk label, antal analytikere).""" + try: + info = yf.Ticker(ticker_yahoo).info + rec = (info.get("recommendationKey") or "").lower() + n = info.get("numberOfAnalystOpinions") or 0 + label_map = { + "strong_buy": "stærk køb", "buy": "køb", + "hold": "hold", "sell": "sælg", "strong_sell": "stærk sælg", + } + return label_map.get(rec, rec or "ukendt"), int(n) + except Exception: + return "ukendt", 0 + + +def _open_positions(db: DBConn) -> list: + return db.execute("SELECT * FROM positions ORDER BY entry_date").fetchall() + + +def _open_count(db: DBConn) -> int: + return db.execute("SELECT COUNT(*) AS cnt FROM positions").fetchone()["cnt"] + + +def _best_signals(db: DBConn) -> list: + """Hent de bedste aktuelle signal-rækker (senest 7 dage).""" + cutoff = int(time.time()) - 7 * 86400 + return db.execute(""" + SELECT ticker, MAX(company_name) AS company_name, + MAX(signal_score) AS signal_score, + AVG(sentiment_score) AS sentiment_score, + SUM(CASE WHEN sentiment = 'positive' THEN 1 ELSE 0 END) AS pos_count, + SUM(CASE WHEN sentiment = 'negative' THEN 1 ELSE 0 END) AS neg_count, + COUNT(*) AS article_count, + MAX(momentum_dir) AS momentum_dir, + MAX(claude_magnitude) AS magnitude + FROM article_signals + WHERE analyzed_at > ? + GROUP BY ticker + ORDER BY signal_score DESC + """, (cutoff,)).fetchall() + + +# --------------------------------------------------------------------------- +# Ordre-logik +# --------------------------------------------------------------------------- + +def _per_position(db: DBConn) -> int: + open_n = _open_count(db) + slots = MAX_POSITIONS - open_n + if slots <= 0: + return 0 + # fordel restkapi tal ligeligt + used = sum( + p["shares"] * p["entry_price"] + for p in _open_positions(db) + ) + remaining = max(0.0, CAPITAL - used) + return int(remaining // slots) + + +def evaluate_orders(db: DBConn) -> None: + c25 = _c25_map() + signals = _best_signals(db) + open_pos = {p["ticker"]: p for p in _open_positions(db)} + open_n = len(open_pos) + per_pos = _per_position(db) + used = sum(p["shares"] * p["entry_price"] for p in open_pos.values()) + + print() + print("═" * 66) + print(f" MONEYMAKER ORDRE-FORSLAG · {datetime.now(timezone.utc).strftime('%d %b %Y %H:%M')} UTC") + print(f" Kapital: {CAPITAL:,.0f} kr │ Brugt: {used:,.0f} kr │ " + f"Åbne: {open_n}/{MAX_POSITIONS} │ Pr. pos: {per_pos:,.0f} kr") + print("═" * 66) + + buy_suggestions = [] + hold_suggestions = [] + watch_list = [] + + for row in signals: + ticker = row["ticker"] + meta = c25.get(ticker, {}) + yahoo = meta.get("ticker_yahoo", f"{ticker}.CO") + price = _current_price(yahoo) + if price is None: + continue + + analyst_lbl, analyst_n = _analyst_label(yahoo) + score = row["signal_score"] or 0.0 + pos_ct = row["pos_count"] or 0 + neg_ct = row["neg_count"] or 0 + net_sentiment = pos_ct - neg_ct + + # Er vi allerede inde? + if ticker in open_pos: + hold_suggestions.append((ticker, row, meta, price, analyst_lbl, analyst_n)) + continue + + # KØB-betingelser + analyst_ok = analyst_lbl in BUY_ANALYST + signal_ok = score >= MIN_SIGNAL + enige = (net_sentiment > 0 and analyst_ok) or (net_sentiment < 0 and analyst_lbl in {"sælg", "stærk sælg"}) + + if signal_ok and analyst_ok and enige: + buy_suggestions.append((ticker, row, meta, price, analyst_lbl, analyst_n, score)) + elif signal_ok or analyst_ok: + watch_list.append((ticker, row, meta, price, analyst_lbl, analyst_n, score)) + + # --- KØB --- + if buy_suggestions and open_n < MAX_POSITIONS and per_pos > 0: + print() + print(" 🟢 KØB-SIGNALER") + print(" " + "─" * 62) + slots_left = MAX_POSITIONS - open_n + for (ticker, row, meta, price, analyst_lbl, analyst_n, score) in buy_suggestions[:slots_left]: + shares = int(per_pos // price) + if shares == 0: + etps = meta.get("leveraged", []) + etp_buy = next((e["ticker"] for e in etps if e.get("direction") == "long"), "") + etp_txt = f" → brug ETP {etp_buy}" if etp_buy else " → pris for høj til direkte køb" + print(f" {ticker:<10} {price:>7,.0f} kr/stk{etp_txt}") + continue + total = shares * price + stop = round(price * (1 - STOP_LOSS_PCT), 2) + take = round(price * (1 + TAKE_PROFIT_PCT), 2) + max_loss = round(shares * (price - stop), 0) + max_gain = round(shares * (take - price), 0) + print(f" {ticker:<10} KØB {shares} stk à {price:,.0f} kr = {total:,.0f} kr") + print(f" Stop-loss: {stop:,.0f} kr (max tab: {max_loss:,.0f} kr)") + print(f" Take-profit: {take:,.0f} kr (max gevinst: {max_gain:,.0f} kr)") + print(f" Signal: {score:.2f} │ Analytikere ({analyst_n}): {analyst_lbl.upper()}") + print(f" Registrer: python portfolio.py buy {ticker} {shares} {price}") + print() + elif not buy_suggestions: + print() + print(" Ingen klare KØB-signaler lige nu.") + + # --- ÅBNE POSITIONER (stop/take check) --- + if open_pos: + print() + print(" 📊 ÅBNE POSITIONER") + print(" " + "─" * 62) + for ticker, pos in open_pos.items(): + meta = c25.get(ticker, {}) + yahoo = meta.get("ticker_yahoo", f"{ticker}.CO") + price = _current_price(yahoo) or pos["entry_price"] + entry = pos["entry_price"] + shares = pos["shares"] + pct_chg = (price - entry) / entry * 100 + value = shares * price + pnl = shares * (price - entry) + + stop_hit = price <= pos["stop_loss"] + take_hit = price >= pos["take_profit"] + action = "🔴 SÆLG (stop-loss!)" if stop_hit else ("🟡 SÆLG (take-profit!)" if take_hit else "⏳ HOLD") + + print(f" {ticker:<10} {shares:.0f} stk │ ind: {entry:,.0f} kr │ nu: {price:,.0f} kr │ {pct_chg:+.1f}%") + print(f" Værdi: {value:,.0f} kr │ P&L: {pnl:+,.0f} kr │ {action}") + print(f" Stop: {pos['stop_loss']:,.0f} kr │ Take: {pos['take_profit']:,.0f} kr") + if stop_hit or take_hit: + print(f" Registrer: python portfolio.py sell {ticker} {price:.2f}") + print() + + # --- HOLD/WATCH --- + if watch_list: + print() + print(" 🔍 FØLG MED (signal endnu ikke klart nok)") + print(" " + "─" * 62) + for (ticker, row, meta, price, analyst_lbl, analyst_n, score) in watch_list[:4]: + why = [] + if score < MIN_SIGNAL: + why.append(f"signal {score:.2f} < {MIN_SIGNAL}") + if analyst_lbl not in BUY_ANALYST: + why.append(f"analytikere: {analyst_lbl.upper()}") + print(f" {ticker:<10} {price:>7,.0f} kr │ {', '.join(why)}") + + print() + print(" Forklaring:") + print(" Stop-loss = sælg automatisk hvis kurs falder 10% fra dit køb") + print(" Take-profit = sælg hvis kurs stiger 25% — tag gevinsten hjem") + print(" KØB-krav = signal≥0.25 + analytikere siger KØB + begge peger samme vej") + print() + + +# --------------------------------------------------------------------------- +# Portfolio CRUD +# --------------------------------------------------------------------------- + +def cmd_buy(db: DBConn, args: list[str]) -> None: + if len(args) < 3: + print("Brug: python portfolio.py buy TICKER ANTAL PRIS") + print("Eks: python portfolio.py buy VWS 11 195.00") + return + ticker = args[0].upper() + shares = float(args[1]) + price = float(args[2]) + stop = round(price * (1 - STOP_LOSS_PCT), 2) + take = round(price * (1 + TAKE_PROFIT_PCT), 2) + today = datetime.now(timezone.utc).strftime("%Y-%m-%d") + total = shares * price + + db.upsert( + "positions", "ticker", + ["ticker", "shares", "entry_price", "entry_date", "stop_loss", "take_profit"], + (ticker, shares, price, today, stop, take), + ) + db.execute(""" + INSERT INTO position_events + (ticker, action, shares, price, total_dkk, event_date) + VALUES (?, 'buy', ?, ?, ?, ?) + """, (ticker, shares, price, total, today)) + db.commit() + print(f"✅ KØB registreret: {shares:.0f} stk {ticker} à {price:.2f} kr = {total:.2f} kr") + print(f" Stop-loss: {stop:.2f} kr") + print(f" Take-profit: {take:.2f} kr") + + +def cmd_sell(db: DBConn, args: list[str]) -> None: + if len(args) < 2: + print("Brug: python portfolio.py sell TICKER PRIS") + print("Eks: python portfolio.py sell VWS 244.00") + return + ticker = args[0].upper() + price = float(args[1]) + pos = db.execute("SELECT * FROM positions WHERE ticker = ?", (ticker,)).fetchone() + if not pos: + print(f"❌ {ticker} — ingen åben position fundet") + return + shares = pos["shares"] + entry = pos["entry_price"] + pnl = shares * (price - entry) + total = shares * price + today = datetime.now(timezone.utc).strftime("%Y-%m-%d") + + signal_correct = 1 if pnl > 0 else 0 + db.execute("DELETE FROM positions WHERE ticker = ?", (ticker,)) + db.execute(""" + INSERT INTO position_events + (ticker, action, shares, price, total_dkk, pnl_dkk, signal_correct, event_date) + VALUES (?, 'sell', ?, ?, ?, ?, ?, ?) + """, (ticker, shares, price, total, pnl, signal_correct, today)) + db.commit() + emoji = "🟢" if pnl >= 0 else "🔴" + print(f"{emoji} SALG registreret: {shares:.0f} stk {ticker} à {price:.2f} kr = {total:.2f} kr") + print(f" Købt til: {entry:.2f} kr │ P&L: {pnl:+.2f} kr │ Signal: {'✅ korrekt' if signal_correct else '❌ forkert'}") + + +def cmd_status(db: DBConn) -> None: + positions = _open_positions(db) + history = db.execute(""" + SELECT * FROM position_events ORDER BY event_date DESC LIMIT 10 + """).fetchall() + + if not positions: + print("\n Ingen åbne positioner.\n") + else: + print("\n ÅBNE POSITIONER:") + for p in positions: + meta = _c25_map().get(p["ticker"], {}) + yahoo = meta.get("ticker_yahoo", f"{p['ticker']}.CO") + price = _current_price(yahoo) or p["entry_price"] + pnl = p["shares"] * (price - p["entry_price"]) + print(f" {p['ticker']:<10} {p['shares']:.0f} stk ind {p['entry_price']:.2f} nu {price:.2f} P&L {pnl:+.2f} kr") + print(f" Stop {p['stop_loss']:.2f} Take {p['take_profit']:.2f} (købt {p['entry_date']})") + + if history: + print("\n SENESTE HANDLER:") + total_pnl = 0.0 + for e in history: + pnl_txt = f" P&L {e['pnl_dkk']:+.2f} kr" if e["pnl_dkk"] is not None else "" + print(f" {e['event_date']} {e['action'].upper():<5} {e['ticker']:<10} " + f"{e['shares']:.0f} stk à {e['price']:.2f} kr{pnl_txt}") + if e["pnl_dkk"] is not None: + total_pnl += e["pnl_dkk"] + sold = [e for e in history if e["action"] == "sell"] + if sold: + print(f"\n Samlet realiseret P&L: {total_pnl:+.2f} kr") + print() + + +# --------------------------------------------------------------------------- +# CLI +# --------------------------------------------------------------------------- + +def main() -> None: + db = get_db() + args = sys.argv[1:] + cmd = args[0] if args else "orders" + + if cmd == "orders": + evaluate_orders(db) + elif cmd == "status": + cmd_status(db) + elif cmd == "buy" and len(args) >= 4: + cmd_buy(db, args[1:]) + elif cmd == "sell" and len(args) >= 3: + cmd_sell(db, args[1:]) + else: + print(__doc__) + + db.close() + + +if __name__ == "__main__": + main() diff --git a/report.py b/report.py new file mode 100644 index 0000000..7e993f0 --- /dev/null +++ b/report.py @@ -0,0 +1,241 @@ +""" +report.py — Daily P&L report for MoneyMaker dry run. + +Usage: + python report.py # full P&L report + python report.py --fees # fee drag analysis only + python report.py --signals # signal accuracy summary only +""" +import sys +import time +import json +import argparse +from datetime import datetime, timezone +from pathlib import Path + +import yfinance as yf + +from db import get_conn, DB_TYPE + +C25_PATH = Path(__file__).parent / "c25.json" +_c25_raw = json.loads(C25_PATH.read_text()) +C25: dict[str, dict] = {k: v for k, v in _c25_raw.items() if not k.startswith("_")} + +CAPITAL = 10_000 # DKK — must match portfolio.py + + +def _c25_day_return() -> float | None: + """Fetch today's return for OMX C25 CAP index from Yahoo Finance.""" + try: + info = yf.Ticker("^OMXC25").fast_info + prev = info.get("previousClose") or info.get("regularMarketPreviousClose") + last = info.get("lastPrice") or info.get("regularMarketPrice") + if prev and last and prev > 0: + return (last - prev) / prev * 100 + except Exception: + pass + return None + + +def _unrealised_pnl(db) -> tuple[float, list[dict]]: + """ + Calculate unrealised P&L for all open positions. + Returns (total_unrealised_dkk, details_list). + """ + positions = db.execute("SELECT * FROM positions").fetchall() + details = [] + total_unreal = 0.0 + + for p in positions: + ticker = p["ticker"] + shares = float(p["shares"]) + entry = float(p["entry_price"]) + entry_date = p["entry_date"] + + yf_ticker = C25.get(ticker, {}).get("ticker_yahoo", ticker + ".CO") + try: + last = yf.Ticker(yf_ticker).fast_info.get("lastPrice") or entry + except Exception: + last = entry + + cost = shares * entry + value = shares * last + unreal = value - cost + pct = (unreal / cost * 100) if cost else 0 + total_unreal += unreal + + details.append({ + "ticker": ticker, + "shares": shares, + "entry": entry, + "last": last, + "cost": cost, + "value": value, + "unreal": unreal, + "pct": pct, + "entry_date": entry_date, + }) + + return total_unreal, details + + +def _realised_pnl(db) -> float: + """Sum all realised P&L from position_events.""" + row = db.execute( + "SELECT COALESCE(SUM(pnl_dkk),0) AS total FROM position_events WHERE action='sell'" + ).fetchone() + return float(row["total"] or 0) + + +def _total_fees(db) -> float: + """Sum all fees from saxo_orders.""" + try: + row = db.execute( + "SELECT COALESCE(SUM(fee_dkk),0) AS total FROM saxo_orders" + ).fetchone() + return float(row["total"] or 0) + except Exception: + return 0.0 + + +def _invested(positions_details: list[dict]) -> float: + return sum(p["cost"] for p in positions_details) + + +def _signal_accuracy(db) -> dict: + """ + Calculate signal accuracy from completed trades (position_events). + A signal is 'correct' if the trade had P&L > 0 (signal_correct=1). + Also returns overall signal scan stats from article_signals. + """ + # Accuracy from closed trades + try: + row = db.execute(""" + SELECT + COUNT(*) AS total_trades, + SUM(CASE WHEN signal_correct=1 THEN 1 ELSE 0 END) AS correct, + SUM(CASE WHEN signal_correct=0 THEN 1 ELSE 0 END) AS wrong, + COALESCE(AVG(CASE WHEN signal_correct IS NOT NULL + THEN signal_correct END), -1) AS accuracy + FROM position_events + WHERE action = 'sell' AND signal_correct IS NOT NULL + """).fetchone() + total_trades = int(row["total_trades"] or 0) + correct = int(row["correct"] or 0) + wrong = int(row["wrong"] or 0) + accuracy_pct = (float(row["accuracy"]) * 100) if total_trades > 0 else None + except Exception: + total_trades = correct = wrong = 0 + accuracy_pct = None + + # NLP scan stats + try: + srow = db.execute(""" + SELECT + COUNT(*) AS total_signals, + SUM(CASE WHEN alert=1 THEN 1 ELSE 0 END) AS alerts, + AVG(signal_score) AS avg_score + FROM article_signals + WHERE signal_score IS NOT NULL + """).fetchone() + return { + "total": int(srow["total_signals"] or 0), + "alerts": int(srow["alerts"] or 0), + "avg_score": round(float(srow["avg_score"] or 0), 3), + "total_trades": total_trades, + "correct": correct, + "wrong": wrong, + "accuracy_pct": accuracy_pct, + } + except Exception: + return { + "total": 0, "alerts": 0, "avg_score": 0, + "total_trades": total_trades, "correct": correct, + "wrong": wrong, "accuracy_pct": accuracy_pct, + } + + +def print_report() -> None: + db = get_conn() + now = datetime.now(timezone.utc).strftime("%d %b %Y %H:%M UTC") + + unreal_total, positions = _unrealised_pnl(db) + realised = _realised_pnl(db) + fees = _total_fees(db) + invested = _invested(positions) + cash = CAPITAL - invested + net_pnl = realised + unreal_total - fees + net_pct = (net_pnl / CAPITAL * 100) + c25_ret = _c25_day_return() + vs_bench = (net_pct - c25_ret) if c25_ret is not None else None + sig_stats = _signal_accuracy(db) + + # ── Header ────────────────────────────────────────────────────────────── + print() + print("═" * 48) + print(f" MONEYMAKER P&L · {now}") + print(f" DB: {DB_TYPE}") + print("═" * 48) + print(f" Kapital: {CAPITAL:>10,.0f} DKK") + print(f" Investeret: {invested:>10,.0f} DKK ({len(positions)} pos.)") + print(f" Kontant: {cash:>10,.0f} DKK") + print() + print(f" Urealiseret: {unreal_total:>+10,.0f} DKK") + print(f" Realiseret: {realised:>+10,.0f} DKK") + print(f" Total gebyrer: {-fees:>+8,.0f} DKK") + print(f" Net P&L: {net_pnl:>+10,.0f} DKK ({net_pct:+.2f}%)") + print() + + # ── Benchmark ──────────────────────────────────────────────────────────── + if c25_ret is not None: + bench_icon = "✅" if vs_bench and vs_bench >= 0 else "❌" + print(f" C25 index: {c25_ret:+.2f}% (i dag)") + print(f" vs benchmark: {vs_bench:+.2f}% {bench_icon}") + else: + print(" C25 index: N/A (marked lukket?)") + print() + + # ── Open positions ──────────────────────────────────────────────────────── + if positions: + print(" ┌─ Åbne positioner ─────────────────────────────┐") + for p in positions: + icon = "📈" if p["unreal"] >= 0 else "📉" + print( + f" │ {icon} {p['ticker']:<8} {p['shares']:.0f} stk " + f"købt {p['entry']:.0f} nu {p['last']:.0f} " + f"P&L {p['unreal']:+.0f} ({p['pct']:+.1f}%)" + ) + print(" └────────────────────────────────────────────────┘") + print() + + # ── Signal stats ───────────────────────────────────────────────────────── + print(f" Signaler: {sig_stats['total']:>5} analyseret") + print(f" Alerts: {sig_stats['alerts']:>5} ⚡ triggers") + print(f" Gns score: {sig_stats['avg_score']:>5.3f}") + if sig_stats["total_trades"] > 0: + acc = sig_stats["accuracy_pct"] + icon = "✅" if acc and acc >= 50 else "❌" + print(f" Lukkede handler: {sig_stats['total_trades']} " + f"({sig_stats['correct']} korrekte / {sig_stats['wrong']} forkerte) " + f"→ {acc:.0f}% {icon}") + else: + print(" Lukkede handler: 0 (ingen salg endnu)") + if fees > 0: + drag_pct = (fees / max(abs(net_pnl + fees), 1)) * 100 + print(f" Gebyr-drag: {drag_pct:.1f}% af brutto P&L") + print("═" * 48) + print() + + db.close() + + +def main(): + parser = argparse.ArgumentParser(description="MoneyMaker P&L rapport") + parser.add_argument("--fees", action="store_true") + parser.add_argument("--signals", action="store_true") + args = parser.parse_args() + print_report() + + +if __name__ == "__main__": + main() diff --git a/rss_feeds.py b/rss_feeds.py new file mode 100644 index 0000000..102e459 --- /dev/null +++ b/rss_feeds.py @@ -0,0 +1,244 @@ +""" +rss_feeds.py — Danske finansielle RSS feeds til MoneyMaker + +Feeds: + Børsen https://borsen.dk/rss + Finans.dk top https://feeds.finans.dk/topnyheder + Politiken øko https://politiken.dk/rss/oekonomi.rss + +Artikler gemmes i samme `articles` tabel som Ground News. +`source_count` sættes til feedets kredibilitets-vægt (ikke antal medier, +men et indikativt tal der giver coverage_spread > 0 i pipeline). + +Full text (title + description + content:encoded) gemmes i `page_cache` +med url-nøgle `rss:{slug}` så analyze.py kan hente det i Phase 3. +""" + +import re +import time +import sqlite3 +import xml.etree.ElementTree as ET +from email.utils import parsedate_to_datetime +from datetime import datetime, timezone +from pathlib import Path + +import httpx +from db import get_conn, DBConn + +# --------------------------------------------------------------------------- +# Feed-katalog — tilføj nye her +# --------------------------------------------------------------------------- + +FEEDS: dict[str, dict] = { + "borsen": { + "url": "https://borsen.dk/rss", + "label": "Børsen", + "weight": 8, # Førende dansk erhvervsmedie + }, + "finans-top": { + "url": "https://feeds.finans.dk/topnyheder", + "label": "Finans.dk (top)", + "weight": 7, + }, + "finans-seneste": { + "url": "https://feeds.finans.dk/seneste", + "label": "Finans.dk (seneste)", + "weight": 6, + }, + "politiken-oekonomi": { + "url": "https://politiken.dk/rss/oekonomi.rss", + "label": "Politiken økonomi", + "weight": 6, + }, + # Berlingske: tilføj URL når den er fundet + # "berlingske-erhverv": { + # "url": "https://...", + # "label": "Berlingske erhverv", + # "weight": 7, + # }, +} + +CACHE_TTL = 30 * 60 # samme TTL som Ground News + +NS = { + "content": "http://purl.org/rss/1.0/modules/content/", + "dc": "http://purl.org/dc/elements/1.1/", +} + + +# --------------------------------------------------------------------------- +# Hjælpefunktioner +# --------------------------------------------------------------------------- + +def get_db() -> DBConn: + """Return a DBConn wrapper. Schema is managed by db.py.""" + return get_conn() + + +def _ensure_rss_cache_table(db: DBConn) -> None: + """No-op: schema is now managed by db.py init_schema().""" + pass + + +def _is_cached(db: DBConn, feed_id: str) -> bool: + row = db.execute( + "SELECT fetched_at FROM rss_feed_cache WHERE feed_id = ?", (feed_id,) + ).fetchone() + return bool(row and (time.time() - row["fetched_at"]) < CACHE_TTL) + + +def _mark_cached(db: DBConn, feed_id: str) -> None: + db.upsert( + "rss_feed_cache", "feed_id", + ["feed_id", "fetched_at"], + (feed_id, int(time.time())), + ) + db.commit() + + +def _ns(prefix: str, tag: str) -> str: + return f"{{{NS[prefix]}}}{tag}" + + +def _text(item: ET.Element, tag: str, ns_prefix: str | None = None) -> str: + el = item.find(_ns(ns_prefix, tag) if ns_prefix else tag) + return (el.text or "").strip() if el is not None else "" + + +def _strip_html(s: str) -> str: + s = re.sub(r"<[^>]+>", " ", s) + s = re.sub(r"&[a-z]+;", " ", s) + return re.sub(r"\s+", " ", s).strip() + + +def _make_slug(feed_id: str, url: str) -> str: + """Lav et unikt slug fra feed-navn + URL-sti.""" + path = url.split("?")[0].rstrip("/").split("/")[-1] + path = re.sub(r"^ECE\d+-", "", path) # Finans.dk ECE-id + path = re.sub(r"\.rss$|\.html$", "", path) + path = re.sub(r"[^a-z0-9\-]", "-", path.lower())[:55] + path = path.strip("-") + return f"{feed_id}-{path}" if path else f"{feed_id}-{abs(hash(url)) % 100000}" + + +def _parse_date(s: str) -> str: + if not s: + return datetime.now(timezone.utc).strftime("%Y-%m-%d") + try: + return parsedate_to_datetime(s).strftime("%Y-%m-%d") + except Exception: + return s[:10] if len(s) >= 10 else datetime.now(timezone.utc).strftime("%Y-%m-%d") + + +# --------------------------------------------------------------------------- +# Parse + upsert +# --------------------------------------------------------------------------- + +def _parse_feed(feed_id: str, xml_text: str, weight: int) -> list[dict]: + root = ET.fromstring(xml_text) + articles = [] + + for item in root.findall(".//item"): + link = _text(item, "link") or _text(item, "guid") + if not link: + continue + + title = _strip_html(_text(item, "title")) + desc = _strip_html(_text(item, "description"))[:600] + encoded = _strip_html(_text(item, "encoded", "content"))[:3000] + pub = _text(item, "pubDate") or _text(item, "date", "dc") + slug = _make_slug(feed_id, link) + + # Fuld tekst til NLP: alt vi har + full_text = f"{title}. {encoded or desc}".strip() + + articles.append({ + "slug": slug, + "title": title, + "description": desc, + "full_text": full_text, + "start_date": _parse_date(pub), + "source_count": weight, + "categories": f"rss:{feed_id}", + "first_seen": int(time.time()), + "last_seen": int(time.time()), + }) + + return articles + + +def _upsert(db: DBConn, articles: list[dict]) -> int: + new = 0 + now = int(time.time()) + for a in articles: + exists = db.execute( + "SELECT 1 FROM articles WHERE slug = ?", (a["slug"],) + ).fetchone() + + if exists: + db.execute( + "UPDATE articles SET last_seen = ? WHERE slug = ?", + (now, a["slug"]), + ) + else: + db.execute( + """INSERT INTO articles + (slug, title, description, start_date, + source_count, categories, first_seen, last_seen) + VALUES (?, ?, ?, ?, ?, ?, ?, ?)""", + (a["slug"], a["title"], a["description"], a["start_date"], + a["source_count"], a["categories"], a["first_seen"], a["last_seen"]), + ) + new += 1 + + # Gem full text i page_cache så analyze.py kan hente det i Phase 3 + db.upsert( + "page_cache", "url", + ["url", "page_type", "fetched_at", "content"], + (f"rss:{a['slug']}", "rss", now, a["full_text"]), + ) + + db.commit() + return new + + +# --------------------------------------------------------------------------- +# Hoved-funktion +# --------------------------------------------------------------------------- + +def fetch_all_rss(db: DBConn, force: bool = False) -> int: + """ + Hent alle RSS feeds og gem i DB. + Returnerer antal nye artikler. + """ + _ensure_rss_cache_table(db) + total_new = 0 + + for feed_id, cfg in FEEDS.items(): + if not force and _is_cached(db, feed_id): + print(f" 💾 {cfg['label']:<30} (cache)") + continue + + try: + resp = httpx.get( + cfg["url"], timeout=15, follow_redirects=True, + headers={"User-Agent": "MoneyMaker/1.0 RSS reader (+https://github.com)"}, + ) + resp.raise_for_status() + articles = _parse_feed(feed_id, resp.text, cfg["weight"]) + new = _upsert(db, articles) + _mark_cached(db, feed_id) + total_new += new + print(f" 🌐 {cfg['label']:<30} {len(articles):2} artikler (+{new} nye)") + except Exception as e: + print(f" ✗ {cfg['label']:<30} FEJL: {e}") + + return total_new + + +if __name__ == "__main__": + db = get_db() + print("[rss] Henter feeds …") + n = fetch_all_rss(db, force=True) + print(f"[rss] Færdig. {n} nye artikler.") + db.close() diff --git a/runner.py b/runner.py new file mode 100644 index 0000000..dc2d530 --- /dev/null +++ b/runner.py @@ -0,0 +1,235 @@ +""" +runner.py — MoneyMaker pipeline orchestrator. + +Usage: + python runner.py # full pipeline (fetch → analyze → evaluate → execute) + python runner.py --dry-run # simulate everything, no real orders + python runner.py --analyze-only # only fetch news + run NLP, no orders + python runner.py --report # print P&L report only + +Pipeline flow (each run): + 1. Fetch Ground News + Danish RSS feeds + 2. Run NLP+Claude analysis on new articles + 3. Evaluate buy/sell signals vs open positions + 4. Execute orders on Saxo SIM (skip if --dry-run) + 5. Print status summary + +Scheduled by cron: + 06:00 CET --analyze-only (full NLP before market opens) + 09:30 CET (default) trade window 1 + 12:00 CET (default) trade window 2 + 14:30 CET (default) trade window 3 + 16:30 CET (default) trade window 4 + 19:00 CET --report daily P&L summary +""" +import sys +import argparse +import traceback +from datetime import datetime, timezone + +from db import get_conn, DB_TYPE, init_schema +from ground_news import fetch_all +from rss_feeds import fetch_all_rss +from analyze import analyze_articles +from portfolio import evaluate_orders, get_db as portfolio_db, _open_positions +from report import print_report + + +def run_pipeline(dry_run: bool = False, analyze_only: bool = False) -> None: + ts = datetime.now(timezone.utc).strftime("%Y-%m-%d %H:%M UTC") + print(f"\n{'═'*60}") + print(f" MONEYMAKER RUNNER · {ts}") + print(f" Mode: {'DRY RUN' if dry_run else 'LIVE'} · DB: {DB_TYPE}") + print(f"{'═'*60}\n") + + # ── 1. Ensure schema is up-to-date ────────────────────────────────────── + try: + init_schema() + except Exception as e: + print(f"[runner] WARNING: init_schema() failed: {e}") + + # ── 2. Fetch news ──────────────────────────────────────────────────────── + db = get_conn() + try: + print("[runner] Henter Ground News …") + n_gn = fetch_all(db) + print(f" +{n_gn} nye artikler fra Ground News") + + print("[runner] Henter danske RSS feeds …") + n_rss = fetch_all_rss(db) + print(f" +{n_rss} nye artikler fra RSS feeds") + finally: + db.close() + + # ── 3. NLP analysis ─────────────────────────────────────────────────────── + print("\n[runner] Kører NLP analyse …") + analyze_articles( + force=False, + dry_run=dry_run, + use_claude=True, + auto_fetch=False, # already fetched above + ) + + if analyze_only: + print("\n[runner] --analyze-only flag sat. Stopper efter NLP.") + return + + # ── 4. Evaluate orders ──────────────────────────────────────────────────── + print("\n[runner] Evaluerer ordre-forslag …") + pdb = portfolio_db() + try: + evaluate_orders(pdb) + finally: + pdb.close() + + # ── 5. Auto-execute (skip if dry-run) ──────────────────────────────────── + if not dry_run: + _auto_execute() + else: + print("\n[runner] DRY RUN — ingen ordre placeret.") + + print("\n[runner] Pipeline færdig.\n") + + +def _auto_execute() -> None: + """ + Auto-place orders on Saxo SIM based on portfolio recommendations. + + 1. AUTO-SELL: close positions that have hit stop-loss or take-profit. + 2. AUTO-BUY: open new positions when signal + analyst consensus align. + + Orders are placed via saxo_broker.place_order() and logged to saxo_orders. + Sells record signal_correct in position_events. + """ + from portfolio import ( + CAPITAL, MAX_POSITIONS, MIN_SIGNAL, BUY_ANALYST, + _open_positions, _open_count, _best_signals, _per_position, _c25_map, + cmd_sell, + ) + from saxo_broker import place_order, find_uic + import yfinance as yf + + pdb = portfolio_db() + c25 = _c25_map() + + # ── 1. Auto-sell: stop-loss / take-profit ───────────────────────────── + for pos in _open_positions(pdb): + ticker = pos["ticker"] + yf_ticker = c25.get(ticker, {}).get("ticker_yahoo", ticker + ".CO") + try: + price = yf.Ticker(yf_ticker).fast_info.get("lastPrice") + except Exception as e: + print(f" SKIP SELL {ticker} — kurs fejl: {e}") + continue + + if not price: + continue + + stop_hit = price <= pos["stop_loss"] + take_hit = price >= pos["take_profit"] + + if stop_hit or take_hit: + reason = "stop-loss" if stop_hit else "take-profit" + print(f" → SÆLGER {pos['shares']:.0f} stk {ticker} à {price:.2f} kr ({reason})") + try: + resp = place_order( + ticker, pos["shares"], "Sell", + price_dkk=price, + note=f"runner auto-sell {reason}", + ) + print(f" Saxo svar: {resp}") + except Exception as e: + print(f" FEJL ved Saxo ordre: {e}") + # Record sell in portfolio DB (sets signal_correct) + cmd_sell(pdb, [ticker, str(price)]) + + # ── 2. Auto-buy: new positions ──────────────────────────────────────── + signals = _best_signals(pdb) + open_pos = {p["ticker"]: p for p in _open_positions(pdb)} + + for sig in signals: + ticker = sig["ticker"] + score = sig["signal_score"] or 0 + momentum = sig["momentum_dir"] or "unknown" + + # Only buy if score is strong + not already in position + if score < MIN_SIGNAL: + continue + if ticker in open_pos: + continue + if len(open_pos) >= MAX_POSITIONS: + break + + # Check analyst recommendation + try: + from signals import analyst_rec + rec = analyst_rec(ticker) + rec_label_lower = rec["label"].lower().replace("🟢", "").strip() + if rec_label_lower not in BUY_ANALYST: + print(f" SKIP {ticker} — analyst={rec['label']}") + continue + except Exception as e: + print(f" SKIP {ticker} — analyst check failed: {e}") + continue + + # Get current price via yfinance + try: + yf_ticker = c25.get(ticker, {}).get("ticker_yahoo", ticker + ".CO") + price = yf.Ticker(yf_ticker).fast_info.get("lastPrice") + if not price: + print(f" SKIP {ticker} — ingen kurs fra yfinance") + continue + except Exception as e: + print(f" SKIP {ticker} — kurs fejl: {e}") + continue + + per_pos = _per_position(pdb) + if per_pos < 500: + print(f" SKIP {ticker} — for lidt kapital: {per_pos} DKK") + continue + + shares = int(per_pos // price) + if shares < 1: + print(f" SKIP {ticker} — 0 aktier til {price:.2f} DKK/stk") + continue + + print(f" → KØBER {shares} stk {ticker} à ~{price:.2f} DKK (sig={score:.3f})") + try: + resp = place_order( + ticker, shares, "Buy", + price_dkk=price, + signal_score=score, + analyst_rec=rec["label"], + note=f"runner auto-buy sig={score:.3f} mom={momentum}", + ) + print(f" Saxo svar: {resp}") + except Exception as e: + print(f" FEJL ved ordre: {e}") + open_pos[ticker] = {"ticker": ticker} # prevent double-buy in same run + + pdb.close() + + +def main(): + parser = argparse.ArgumentParser(description="MoneyMaker pipeline runner") + parser.add_argument("--dry-run", action="store_true", help="Simulate, no real orders") + parser.add_argument("--analyze-only", action="store_true", help="Only fetch + NLP, no orders") + parser.add_argument("--report", action="store_true", help="Print P&L report and exit") + args = parser.parse_args() + + if args.report: + print_report() + return + + try: + run_pipeline(dry_run=args.dry_run, analyze_only=args.analyze_only) + except KeyboardInterrupt: + print("\n[runner] Afbrudt.") + except Exception: + print("[runner] FEJL:") + traceback.print_exc() + sys.exit(1) + + +if __name__ == "__main__": + main() diff --git a/saxo_auth.py b/saxo_auth.py new file mode 100644 index 0000000..d3ba310 --- /dev/null +++ b/saxo_auth.py @@ -0,0 +1,220 @@ +""" +saxo_auth.py — OAuth2 token manager for Saxo SIM. + +Første gang: åbner browser, du logger ind én gang. +Derefter: auto-refresher token uden brugerinteraktion. + +Token gemmes i .saxo_token.json (gitignored). + +Brug: + python saxo_auth.py login # første gang — åbner browser + python saxo_auth.py refresh # forny access token + python saxo_auth.py token # print current access token + +I kode: + from saxo_auth import get_token + token = get_token() # returnerer gyldigt token, refresher automatisk +""" +import os +import sys +import json +import time +import webbrowser +import urllib.parse +import http.server +import threading +import requests +from pathlib import Path +from dotenv import load_dotenv + +load_dotenv() + +APP_KEY = os.getenv("SAXO_APP_KEY", "") +APP_SECRET = os.getenv("SAXO_APP_SECRET_1", "") +AUTH_URL = os.getenv("SAXO_AUTH_URL", "https://sim.logonvalidation.net/authorize") +TOKEN_URL = os.getenv("SAXO_TOKEN_URL", "https://sim.logonvalidation.net/token") +REDIRECT = os.getenv("SAXO_REDIRECT", "http://localhost:8765/callback") +TOKEN_FILE = Path(__file__).parent / ".saxo_token.json" +REDIRECT_PORT = 8765 + + +# ── Token storage ──────────────────────────────────────────────────────────── + +def _load() -> dict: + if TOKEN_FILE.exists(): + return json.loads(TOKEN_FILE.read_text()) + return {} + + +def _save(data: dict): + TOKEN_FILE.write_text(json.dumps(data, indent=2)) + TOKEN_FILE.chmod(0o600) # only owner can read + + +def _is_expired(data: dict, margin_sec: int = 60) -> bool: + expires_at = data.get("expires_at", 0) + return time.time() >= (expires_at - margin_sec) + + +# ── OAuth2 flow ─────────────────────────────────────────────────────────────── + +def _exchange_code(code: str) -> dict: + """Exchange auth code for access + refresh tokens.""" + r = requests.post(TOKEN_URL, data={ + "grant_type": "authorization_code", + "code": code, + "redirect_uri": REDIRECT, + "client_id": APP_KEY, + "client_secret": APP_SECRET, + }, timeout=15) + r.raise_for_status() + data = r.json() + data["expires_at"] = time.time() + data.get("expires_in", 1200) + return data + + +def _refresh(refresh_token: str) -> dict: + """Use refresh token to get a new access token.""" + r = requests.post(TOKEN_URL, data={ + "grant_type": "refresh_token", + "refresh_token": refresh_token, + "client_id": APP_KEY, + "client_secret": APP_SECRET, + }, timeout=15) + r.raise_for_status() + data = r.json() + data["expires_at"] = time.time() + data.get("expires_in", 1200) + return data + + +def _do_browser_login() -> str: + """ + Start local callback server, open browser for OAuth login. + Returns the authorization code. + """ + code_holder = {} + done = threading.Event() + + class Handler(http.server.BaseHTTPRequestHandler): + def do_GET(self): + params = urllib.parse.parse_qs(urllib.parse.urlparse(self.path).query) + code_holder["code"] = params.get("code", [None])[0] + self.send_response(200) + self.send_header("Content-Type", "text/html; charset=utf-8") + self.end_headers() + self.wfile.write(b"

    Login lykkedes!

    Du kan lukke dette vindue.

    ") + done.set() + + def log_message(self, *args): + pass # suppress access log + + server = http.server.HTTPServer(("localhost", REDIRECT_PORT), Handler) + thread = threading.Thread(target=server.serve_forever, daemon=True) + thread.start() + + auth_params = { + "response_type": "code", + "client_id": APP_KEY, + "redirect_uri": REDIRECT, + "state": "moneymaker", + } + url = AUTH_URL + "?" + urllib.parse.urlencode(auth_params) + print(f"\n Åbner browser til Saxo login ...") + print(f" Hvis browseren ikke åbner, gå til:\n {url}\n") + webbrowser.open(url) + + done.wait(timeout=120) + server.shutdown() + + code = code_holder.get("code") + if not code: + raise RuntimeError("Login timeout — ingen callback modtaget inden 120 sekunder.") + return code + + +# ── Public API ──────────────────────────────────────────────────────────────── + +def login(): + """Full browser-based login. Call once to get refresh token.""" + code = _do_browser_login() + data = _exchange_code(code) + _save(data) + print(" Login OK — token gemt i .saxo_token.json") + print(f" Access token udløber om {data.get('expires_in', '?')} sekunder") + rt = data.get("refresh_token") + if rt: + print(" Refresh token gemt — ingen manuel login fremover!") + else: + print(" ADVARSEL: Ingen refresh token modtaget.") + return data["access_token"] + + +def refresh(): + """Refresh access token using stored refresh token.""" + data = _load() + rt = data.get("refresh_token") + if not rt: + raise RuntimeError("Ingen refresh token — kør: python saxo_auth.py login") + data = _refresh(rt) + _save(data) + print(" Token refreshet OK") + return data["access_token"] + + +def get_token() -> str: + """ + Return a valid access token. Auto-refreshes if expired. + Falls back to 24h SAXO_TOKEN env var if no stored token. + """ + data = _load() + if not data: + # Fall back to 24h token from .env + fallback = os.getenv("SAXO_TOKEN", "") + if fallback: + return fallback + raise RuntimeError("Ingen token — kør: python saxo_auth.py login") + + if _is_expired(data): + rt = data.get("refresh_token") + if rt: + data = _refresh(rt) + _save(data) + else: + raise RuntimeError("Token udløbet og ingen refresh token — kør login igen.") + + return data["access_token"] + + +# ── CLI ─────────────────────────────────────────────────────────────────────── + +def main(): + cmd = sys.argv[1] if len(sys.argv) > 1 else "help" + + if cmd == "login": + login() + elif cmd == "refresh": + t = refresh() + print(f" Nyt token: {t[:20]}...") + elif cmd == "token": + t = get_token() + print(t) + elif cmd == "status": + data = _load() + if not data: + print("Ingen gemt token. Kør: python saxo_auth.py login") + return + exp = data.get("expires_at", 0) + remaining = int(exp - time.time()) + print(f" Token status: {'GYLDIG' if remaining > 0 else 'UDLØBET'}") + print(f" Udløber om: {remaining} sekunder ({remaining//60} min)") + print(f" Refresh token: {'JA' if data.get('refresh_token') else 'NEJ'}") + else: + print("Brug:") + print(" python saxo_auth.py login # første gang — åbner browser") + print(" python saxo_auth.py refresh # forny token manuelt") + print(" python saxo_auth.py token # vis current token") + print(" python saxo_auth.py status # vis token status") + + +if __name__ == "__main__": + main() diff --git a/saxo_broker.py b/saxo_broker.py new file mode 100644 index 0000000..0a26a39 --- /dev/null +++ b/saxo_broker.py @@ -0,0 +1,322 @@ +""" +saxo_broker.py — Saxo Bank SIM paper trading integration. + +Reads SAXO_TOKEN + SAXO_BASE from .env (or environment). +Token expires after 24h — refresh at developer.saxobank.com/openapi/token +""" +import os +import sys +import json +import time +import requests +from pathlib import Path +from datetime import datetime, timezone +from dotenv import load_dotenv +from db import get_conn + +load_dotenv() + +BASE = os.getenv("SAXO_BASE", "https://gateway.saxobank.com/sim/openapi") + +def _get_token() -> str: + """Get valid token — prefers OAuth2 stored token, falls back to 24h env token.""" + try: + from saxo_auth import get_token + return get_token() + except Exception: + return os.getenv("SAXO_TOKEN", "") + +# C25 tickers: our local ticker → (search keyword, Saxo ExchangeId) +# ExchangeId "CSE" = Copenhagen Stock Exchange (Saxo's code) +SAXO_SYMBOLS = { + "NOVO-B": ("Novo Nordisk B", "CSE"), + "DANSKE": ("Danske Bank", "CSE"), + "DSV": ("DSV", "CSE"), + "DEMANT": ("Demant", "CSE"), + "ORSTED": ("Orsted", "CSE"), + "ROCK-B": ("Rockwool", "CSE"), + "VWS": ("Vestas", "CSE"), + "COLOB": ("Coloplast", "CSE"), + "GMAB": ("Genmab", "CSE"), + "MAERSK-B": ("Maersk B", "CSE"), + "NZYM-B": ("Novozymes", "CSE"), + "NKT": ("NKT", "CSE"), + "GN": ("GN Store Nord", "CSE"), + "BAVAR": ("Bavarian Nordic", "CSE"), + "TRYG": ("Tryg", "CSE"), + "PNDORA": ("Pandora", "CSE"), + "CARL-B": ("Carlsberg", "CSE"), + "CHR": ("Chr. Hansen", "CSE"), + "FLS": ("FLSmidth", "CSE"), + "RBREW": ("Royal Unibrew", "CSE"), + "SYDB": ("Sydbank", "CSE"), +} + + +def _headers(): + return {"Authorization": f"Bearer {_get_token()}", "Content-Type": "application/json"} + + +def _get(path, params=None): + r = requests.get(f"{BASE}{path}", headers=_headers(), params=params, timeout=10) + r.raise_for_status() + return r.json() + + +def _post(path, body): + r = requests.post(f"{BASE}{path}", headers=_headers(), json=body, timeout=10) + r.raise_for_status() + return r.json() + + +# ── Account info ──────────────────────────────────────────────────────────── + +def get_account_info(): + """Return (ClientKey, AccountKey) for the SIM account.""" + data = _get("/port/v1/accounts/me") + accounts = data.get("Data", []) + if not accounts: + raise RuntimeError("No accounts found — are you logged into SIM?") + acct = accounts[0] + return acct["ClientKey"], acct["AccountKey"] + + +def get_balances(): + """Return cash balance dict from Saxo SIM.""" + return _get("/port/v1/balances/me") + + +# ── Instrument lookup ─────────────────────────────────────────────────────── + +def find_uic(ticker: str) -> int | None: + """Resolve our local ticker to Saxo UIC (instrument ID).""" + if ticker not in SAXO_SYMBOLS: + return None + symbol, exchange = SAXO_SYMBOLS[ticker] + results = _get("/ref/v1/instruments", params={ + "Keywords": symbol, + "ExchangeId": exchange, + "AssetTypes": "Stock", + "$top": 5, + }) + for item in results.get("Data", []): + if item.get("ExchangeId") == exchange: + return item["Identifier"] + return None + + +def get_price(uic: int) -> float | None: + """ + Get last traded price for a UIC. + NOTE: SIM 24h tokens have no market data access — returns None. + Use yfinance for prices instead (see signals.py). + """ + try: + data = _get("/trade/v1/infoprices", params={ + "Uic": uic, + "AssetType": "Stock", + "FieldGroups": "Quote", + }) + last = data.get("Quote", {}).get("Last") + return float(last) if last else None + except Exception: + return None + + +# ── Orders ────────────────────────────────────────────────────────────────── + +def place_order( + ticker: str, + shares: int, + direction: str = "Buy", + *, + price_dkk: float | None = None, + signal_score: float | None = None, + analyst_rec: str | None = None, + note: str | None = None, +) -> dict: + """ + Place a market order on Saxo SIM. + + Args: + ticker: Our C25 ticker (e.g. "NOVO-B") + shares: Number of shares + direction: "Buy" or "Sell" + price_dkk: Estimated fill price in DKK (for fee calc + logging) + signal_score: NLP signal score that triggered this order + analyst_rec: Analyst recommendation label + note: Free-text note + + Returns: + Saxo order response dict + """ + _, acct_key = get_account_info() + uic = find_uic(ticker) + if uic is None: + raise ValueError(f"Unknown ticker: {ticker}") + + body = { + "Uic": uic, + "AssetType": "Stock", + "Amount": shares, + "BuySell": direction, + "OrderType": "Market", + "OrderDuration": {"DurationType": "DayOrder"}, + "AccountKey": acct_key, + "ManualOrder": True, + } + resp = _post("/trade/v2/orders", body) + + # Log to saxo_orders table regardless of outcome + saxo_order_id = resp.get("OrderId") or resp.get("Orders", [{}])[0].get("OrderId") + status = "filled" if saxo_order_id else "rejected" + log_order( + ticker=ticker, + direction=direction.lower(), + shares=shares, + price_dkk=price_dkk, + saxo_order_id=str(saxo_order_id) if saxo_order_id else None, + status=status, + signal_score=signal_score, + analyst_rec=analyst_rec, + note=note, + ) + return resp + + +def log_order( + ticker: str, + direction: str, + shares: float, + price_dkk: float | None, + saxo_order_id: str | None = None, + status: str = "pending", + signal_score: float | None = None, + analyst_rec: str | None = None, + note: str | None = None, +) -> None: + """ + Write a trade record to saxo_orders table. + + Fee model: max(25 DKK, total_dkk * 0.001) + """ + total_dkk = (shares * price_dkk) if price_dkk else None + fee_dkk = round(max(25.0, total_dkk * 0.001), 2) if total_dkk else None + now_ts = datetime.now(timezone.utc).isoformat() + + db = get_conn() + db.execute( + """INSERT INTO saxo_orders + (ticker, direction, shares, price_dkk, total_dkk, fee_dkk, + saxo_order_id, status, signal_score, analyst_rec, placed_at, note) + VALUES (?,?,?,?,?,?,?,?,?,?,?,?)""", + (ticker, direction, shares, price_dkk, total_dkk, fee_dkk, + saxo_order_id, status, signal_score, analyst_rec, now_ts, note), + ) + db.commit() + db.close() + + +# ── Positions ─────────────────────────────────────────────────────────────── + +def get_positions() -> list[dict]: + """Return open positions from Saxo SIM.""" + data = _get("/port/v1/positions/me", params={"FieldGroups": "PositionBase,PositionView"}) + return data.get("Data", []) + + +def print_positions(): + """Pretty-print open positions.""" + positions = get_positions() + if not positions: + print("Ingen åbne positioner i Saxo SIM") + return + print(f"\n{'Ticker':<12} {'Antal':>6} {'Åbn kurs':>10} {'Akt kurs':>10} {'P/L':>10}") + print("-" * 52) + for p in positions: + base = p.get("PositionBase", {}) + view = p.get("PositionView", {}) + symbol = base.get("Symbol", "?") + amount = base.get("Amount", 0) + open_price = base.get("OpenPrice", 0) + current = view.get("CurrentPrice", 0) + pl = view.get("ProfitLossOnTrade", 0) + pl_str = f"+{pl:.0f}" if pl >= 0 else f"{pl:.0f}" + print(f"{symbol:<12} {amount:>6} {open_price:>10.2f} {current:>10.2f} {pl_str:>10}") + + +def print_balances(): + """Pretty-print account balances.""" + b = get_balances() + cash = b.get("CashBalance", 0) + equity = b.get("TotalValue", 0) + margin = b.get("MarginAvailableForTrading", 0) + currency = b.get("Currency", "EUR") + print(f"\n Kontant saldo: {cash:>12,.0f} {currency}") + print(f" Total portefølje: {equity:>12,.0f} {currency}") + print(f" Fri margin: {margin:>12,.0f} {currency}") + + +# ── CLI ────────────────────────────────────────────────────────────────────── + +def main(): + try: + _get_token() + except Exception as e: + print(f"FEJL: {e}") + print("Kør: python saxo_auth.py login") + sys.exit(1) + + cmd = sys.argv[1] if len(sys.argv) > 1 else "status" + + if cmd == "status": + print("\n=== SAXO SIM KONTO ===") + client_key, acct_key = get_account_info() + print(f" ClientKey: {client_key}") + print(f" AccountKey: {acct_key}") + print_balances() + print_positions() + + elif cmd == "buy": + # saxo_broker.py buy NOVO-B 5 + if len(sys.argv) < 4: + print("Brug: saxo_broker.py buy TICKER ANTAL") + sys.exit(1) + ticker = sys.argv[2].upper() + shares = int(sys.argv[3]) + print(f"Placerer KØB {shares} × {ticker} på Saxo SIM ...") + result = place_order(ticker, shares, "Buy") + print(f"Ordre bekræftet: {json.dumps(result, indent=2)}") + + elif cmd == "sell": + # saxo_broker.py sell NOVO-B 5 + if len(sys.argv) < 4: + print("Brug: saxo_broker.py sell TICKER ANTAL") + sys.exit(1) + ticker = sys.argv[2].upper() + shares = int(sys.argv[3]) + print(f"Placerer SÆLG {shares} × {ticker} på Saxo SIM ...") + result = place_order(ticker, shares, "Sell") + print(f"Ordre bekræftet: {json.dumps(result, indent=2)}") + + elif cmd == "positions": + print_positions() + + elif cmd == "balances": + print_balances() + + elif cmd == "uic": + # saxo_broker.py uic NOVO-B + ticker = sys.argv[2].upper() if len(sys.argv) > 2 else "NOVO-B" + uic = find_uic(ticker) + price = get_price(uic) if uic else None + print(f"{ticker}: UIC={uic}, pris={price}") + + else: + print(f"Ukendt kommando: {cmd}") + print("Kommandoer: status | buy TICKER N | sell TICKER N | positions | balances | uic TICKER") + sys.exit(1) + + +if __name__ == "__main__": + main() diff --git a/signals.py b/signals.py new file mode 100644 index 0000000..5e39562 --- /dev/null +++ b/signals.py @@ -0,0 +1,354 @@ +""" +signals.py — C25 Signal Board & Reporting + +Usage: + python3 signals.py # full signal board (last 7 days) + python3 signals.py top [--days 14] # top companies by mentions + python3 signals.py company NOVO-B # detail view for one company + python3 signals.py summary # quick one-liner per company + python3 signals.py buy # only budget/accessible + leveraged ETPs +""" + +import sys +import json +import time +import argparse +import sqlite3 +from datetime import datetime, timezone +from pathlib import Path +import yfinance as yf +from db import get_conn, DBConn + +C25_PATH = Path(__file__).parent / "c25.json" + +_c25_raw = json.loads(C25_PATH.read_text()) +C25: dict[str, dict] = {k: v for k, v in _c25_raw.items() if not k.startswith("_")} + +_analyst_cache: dict[str, dict] = {} + + +def get_db() -> DBConn: + """Return a DBConn wrapper. Schema is managed by db.py.""" + return get_conn() + + +def analyst_rec(ticker: str) -> dict: + """Hent analytikernes konsensus fra Yahoo Finance (cachet pr. kørsel).""" + if ticker in _analyst_cache: + return _analyst_cache[ticker] + yf_ticker = C25.get(ticker, {}).get("ticker_yahoo", ticker + ".CO") + try: + info = yf.Ticker(yf_ticker).info + mean = info.get("recommendationMean") + count = info.get("numberOfAnalystOpinions", 0) + if mean is None: + result = {"label": "Ukendt", "mean": None, "count": 0} + elif mean <= 1.5: result = {"label": "STÆRK KØB 🟢", "mean": mean, "count": count} + elif mean <= 2.5: result = {"label": "KØB 🟢", "mean": mean, "count": count} + elif mean <= 3.5: result = {"label": "HOLD 🟡", "mean": mean, "count": count} + elif mean <= 4.5: result = {"label": "SÆLG 🔴", "mean": mean, "count": count} + else: result = {"label": "STÆRK SÆLG 🔴", "mean": mean, "count": count} + except Exception: + result = {"label": "Ukendt", "mean": None, "count": 0} + _analyst_cache[ticker] = result + return result + + +SENTIMENT_DA = {"positive": "POSITIV ↑", "negative": "NEGATIV ↓", "neutral": "NEUTRAL →"} +TIER_DA = { + "budget": "under 200 kr — kan købes direkte", + "accessible": "200-500 kr — kan købes direkte", + "expensive": "500-2000 kr — overvej ETP", + "inaccessible": "over 2000 kr — brug ETP", +} + + +# --------------------------------------------------------------------------- +# Queries +# --------------------------------------------------------------------------- + +def company_stats(db: DBConn, days: int = 7) -> list[dict]: + """Return per-company aggregated signal stats for the last N days.""" + cutoff = int(time.time()) - days * 86400 + rows = db.execute( + """SELECT + s.ticker, + COUNT(*) AS mention_articles, + SUM(s.mention_count) AS total_mentions, + AVG(CASE WHEN s.sentiment='positive' THEN s.sentiment_score + WHEN s.sentiment='negative' THEN -s.sentiment_score + ELSE 0 END) AS avg_sentiment, + SUM(CASE WHEN s.sentiment='positive' THEN 1 ELSE 0 END) AS pos_count, + SUM(CASE WHEN s.sentiment='negative' THEN 1 ELSE 0 END) AS neg_count, + SUM(CASE WHEN s.sentiment='neutral' THEN 1 ELSE 0 END) AS neu_count, + AVG(a.source_count) AS avg_sources, + MAX(COALESCE(s.signal_score, 0)) AS max_signal, + SUM(COALESCE(s.alert, 0)) AS alert_count + FROM article_signals s + JOIN articles a ON a.slug = s.article_slug + WHERE s.analyzed_at >= ? + GROUP BY s.ticker + ORDER BY max_signal DESC, mention_articles DESC""", + (cutoff,), + ).fetchall() + return [dict(r) for r in rows] + + +def company_articles(db: DBConn, ticker: str, days: int = 14) -> list[dict]: + """Return individual articles mentioning a company.""" + cutoff = int(time.time()) - days * 86400 + rows = db.execute( + """SELECT + a.title, a.slug, a.start_date, a.source_count, + s.sentiment, s.sentiment_score, s.mention_count, + s.signal_score, s.alert, s.claude_reasoning, + s.momentum_dir, s.momentum_pct_5d, s.coverage_spread + FROM article_signals s + JOIN articles a ON a.slug = s.article_slug + WHERE s.ticker = ? AND s.analyzed_at >= ? + ORDER BY COALESCE(s.signal_score,0) DESC, a.source_count DESC""", + (ticker, cutoff), + ).fetchall() + return [dict(r) for r in rows] + + +# --------------------------------------------------------------------------- +# Display helpers +# --------------------------------------------------------------------------- + + + +def print_signal_board(days: int = 7) -> None: + db = get_db() + rows = company_stats(db, days) + db.close() + + if not rows: + print(f"Ingen signaler de seneste {days} dage. Kør: make") + return + + now_str = datetime.now(timezone.utc).strftime("%d %b %Y %H:%M") + W = 66 + print(f"\n{'═'*W}") + print(f" MONEYMAKER · Hvad sker der med dine C25 aktier? · {now_str}") + print(f"{'═'*W}") + print(f" (baseret på de seneste {days} dage med nyheder)\n") + + for r in rows: + ticker = r["ticker"] + company = C25.get(ticker, {}) + name = company.get("name", ticker) + price = company.get("price_dkk_approx", "?") + tier = company.get("tier", "?") + etps = company.get("leveraged", []) + + avg_s = r["avg_sentiment"] or 0 + sent_da = SENTIMENT_DA.get( + "positive" if avg_s > 0.1 else ("negative" if avg_s < -0.1 else "neutral"), + "NEUTRAL →" + ) + n_art = r["mention_articles"] + n_src = int(r["avg_sources"] or 0) + sig = r.get("max_signal") or 0 + alerts = r.get("alert_count") or 0 + + # Analytiker konsensus + rec = analyst_rec(ticker) + + # Er nyheder og analytikere enige? + news_bull = avg_s > 0.1 + news_bear = avg_s < -0.1 + ana_bull = rec["mean"] is not None and rec["mean"] <= 2.5 + ana_bear = rec["mean"] is not None and rec["mean"] >= 3.5 + if (news_bull and ana_bull) or (news_bear and ana_bear): + agreement = "✅ Nyheder og eksperter er ENIGE" + elif (news_bull and ana_bear) or (news_bear and ana_bull): + agreement = "⚠️ Nyheder og eksperter er UENIGE" + else: + agreement = "〰️ Intet klart signal endnu" + + # Kildedækning advarsel + coverage_warn = " ⚠️ Kun få mediekilder — usikkert" if n_src < 3 else "" + + # Signal i ord + if sig >= 0.5: sig_txt = f"🔥 STÆRKT ({sig:.2f})" + elif sig >= 0.2: sig_txt = f"📊 Moderat ({sig:.2f})" + elif sig > 0: sig_txt = f"🔍 Svagt ({sig:.2f})" + else: sig_txt = f"⬜ Ingen ({sig:.2f})" + + # ETP info + etp_info = "" + if etps and len(etps) >= 2: + long_e = next((e for e in etps if e["direction"] == "long"), etps[0]) + short_e = next((e for e in etps if e["direction"] == "short"), etps[1]) + etp_info = f"\n │ ETP (gearing 3x): KØB={long_e['ticker']} SÆLG={short_e['ticker']} ({long_e['exchange']})" + + alerts_str = f"\n │ ⚡ {alerts} alert(s) udløst!" if alerts else "" + + print(f" ┌─ {name} ({ticker}) {'─'*max(1, W-6-len(name)-len(ticker))}") + print(f" │ Pris: ca. {price} kr · {TIER_DA.get(tier, tier)}") + print(f" │ Eksperter ({rec['count']:>2}): {rec['label']}") + print(f" │ Nyheder ({n_art} art): {sent_da} · gnsn. {n_src} mediekilder{coverage_warn}") + print(f" │ Samlet vurdering: {agreement}") + print(f" │ Signalstyrke: {sig_txt}{etp_info}{alerts_str}") + print(f" └{'─'*W}") + print() + + print(f" Forklaring:") + print(f" Eksperter = finansanalytikere der følger aktien (Yahoo Finance)") + print(f" Nyheder = hvad medierne skriver, analyseret med AI (FinBERT + Claude)") + print(f" Signal = kombineret score: nyhedssentiment × kildedækning × kursmomentum") + print(f" ETP = børshandlet certifikat — du køber 3x gearing uden at eje aktien") + print() + + +def print_company_detail(ticker: str, days: int = 14) -> None: + ticker = ticker.upper() + if ticker not in C25: + print(f"Ukendt ticker: {ticker}. Tilgængelige: {', '.join(sorted(C25.keys()))}") + return + + db = get_db() + company = C25[ticker] + stats = next((r for r in company_stats(db, days) if r["ticker"] == ticker), None) + arts = company_articles(db, ticker, days) + db.close() + + rec = analyst_rec(ticker) + price = company.get("price_dkk_approx", "?") + tier = company.get("tier", "?") + etps = company.get("leveraged", []) + + W = 66 + print(f"\n{'═'*W}") + print(f" {company['name']} ({ticker})") + print(f" Sektor: {company['sector']} · ca. {price} kr · {TIER_DA.get(tier, tier)}") + if etps: + for e in etps: + label = "KØB (long)" if e["direction"] == "long" else "SÆLG (short)" + print(f" ETP {label}: {e['name']} ({e['ticker']}) — {e['exchange']}") + print(f"{'─'*W}") + print(f"\n Hvad siger eksperterne?") + print(f" {rec['label']} · {rec['count']} analytikere følger aktien") + print(f"\n Hvad siger nyhederne de seneste {days} dage?") + + if not stats: + print(f" Ingen nyheder fundet endnu.") + return + + avg_s = stats["avg_sentiment"] or 0 + sent_da = SENTIMENT_DA.get( + "positive" if avg_s > 0.1 else ("negative" if avg_s < -0.1 else "neutral"), "" + ) + print(f" {sent_da} · {stats['mention_articles']} artikler") + print(f" Positiv: {stats['pos_count']} · Negativ: {stats['neg_count']} · Neutral: {stats['neu_count']}") + print(f"\n Enkeltartikler:") + print(f" {'─'*W}") + + for a in arts[:15]: + sent_da2 = SENTIMENT_DA.get(a["sentiment"], "?") + sig = a.get("signal_score") or 0 + n_src = a.get("source_count") or 0 + low_cov = " ⚠️ få kilder" if n_src < 3 else "" + sig_txt = f"🔥{sig:.2f}" if sig >= 0.5 else (f"📊{sig:.2f}" if sig >= 0.2 else f"⬜{sig:.2f}") + print(f"\n {a['title'][:62]}") + print(f" Sentiment: {sent_da2:<14} Signal: {sig_txt} Kilder: {n_src}{low_cov}") + reason = a.get("claude_reasoning", "") + if reason and reason not in ("(no API key)", ""): + print(f" Claude: {reason[:80]}") + + +def print_buy_signals(days: int = 7) -> None: + """Vis kun aktier med positivt signal — direkte køb og via ETP.""" + db = get_db() + rows = company_stats(db, days) + db.close() + + W = 66 + print(f"\n{'═'*W}") + print(f" HVAD KAN DET BETALE SIG? · de seneste {days} dage") + print(f"{'═'*W}\n") + + direct = [r for r in rows if C25.get(r["ticker"], {}).get("tier") in ("budget", "accessible")] + via_etp = [r for r in rows if C25.get(r["ticker"], {}).get("leveraged")] + + def fmt(r: dict, note: str = "") -> None: + ticker = r["ticker"] + c = C25.get(ticker, {}) + avg_s = r["avg_sentiment"] or 0 + sent = SENTIMENT_DA.get( + "positive" if avg_s > 0.1 else ("negative" if avg_s < -0.1 else "neutral"), "") + rec = analyst_rec(ticker) + price = c.get("price_dkk_approx", "?") + sig = r.get("max_signal") or 0 + print(f" {c.get('name',''):<30} {price:>6} kr") + print(f" Eksperter: {rec['label']}") + print(f" Nyheder: {sent} (signal: {sig:.2f})") + if note: + print(f" {note}") + print() + + if direct: + print(" Du kan købe disse DIREKTE (overkommelig pris):") + print(f" {'─'*W}") + for r in sorted(direct, key=lambda x: abs(x["avg_sentiment"] or 0), reverse=True): + fmt(r) + + if via_etp: + print(" Via WisdomTree ETP (3x gearing — højere risiko/gevinst):") + print(f" {'─'*W}") + for r in sorted(via_etp, key=lambda x: abs(x["avg_sentiment"] or 0), reverse=True): + ticker = r["ticker"] + avg_s = r["avg_sentiment"] or 0 + etps = C25.get(ticker, {}).get("leveraged", []) + if etps: + direction = "long" if avg_s >= 0 else "short" + etp = next((e for e in etps if e["direction"] == direction), etps[0]) + fmt(r, note=f"ETP: {etp['ticker']} ({direction} 3x) på {etp['exchange']}") + else: + fmt(r) + + if not direct and not via_etp: + print(" Ingen signaler endnu. Kør: make") + + +# --------------------------------------------------------------------------- +# CLI +# --------------------------------------------------------------------------- + +def main() -> None: + parser = argparse.ArgumentParser(description="C25 signal board") + sub = parser.add_subparsers(dest="cmd") + + p_top = sub.add_parser("top", help="Top companies by mention count") + p_top.add_argument("--days", type=int, default=7) + + p_co = sub.add_parser("company", help="Detail view for one company") + p_co.add_argument("ticker") + p_co.add_argument("--days", type=int, default=14) + + sub.add_parser("summary", help="One-liner per company") + + p_buy = sub.add_parser("buy", help="Affordable + leveraged ETP candidates") + p_buy.add_argument("--days", type=int, default=7) + + p_board = sub.add_parser("board", help="Full signal board") + p_board.add_argument("--days", type=int, default=7) + + args = parser.parse_args() + + if args.cmd in (None, "board"): + days = getattr(args, "days", 7) + print_signal_board(days) + elif args.cmd == "top": + print_signal_board(args.days) + elif args.cmd == "company": + print_company_detail(args.ticker, getattr(args, "days", 14)) + elif args.cmd == "buy": + print_buy_signals(args.days) + elif args.cmd == "summary": + print_signal_board(7) + + +if __name__ == "__main__": + main()