""" 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()