#!/usr/bin/env python3 import json from http.server import HTTPServer, SimpleHTTPRequestHandler from datetime import datetime from collections import defaultdict SPORTS_STATE = "sports_247_state.json" BOTS = [ {"name": "BTC", "state": "btc_state.json", "history": "btc_history.json"}, {"name": "ETH", "state": "eth_state.json", "history": "eth_history.json"}, {"name": "SOL", "state": "sol_state.json", "history": "sol_history.json"}, {"name": "XRP", "state": "xrp_state.json", "history": "xrp_history.json"}, ] class DashboardHandler(SimpleHTTPRequestHandler): def do_GET(self): if self.path == '/': self.path = '/dashboard.html' return super().do_GET() def end_headers(self): self.send_header('Cache-Control', 'no-store') super().end_headers() def safe_load(path, default): try: with open(path) as f: return json.load(f) except Exception: return default def summarize_history(history): wins = sum(1 for t in history if t.get('pnl', 0) > 0) losses = sum(1 for t in history if t.get('pnl', 0) < 0) breakeven = sum(1 for t in history if t.get('pnl', 0) == 0) total_pnl = sum(t.get('pnl', 0) for t in history) return wins, losses, breakeven, total_pnl def parse_trade_date(t): ts = t.get("time") if not ts: return None try: return datetime.fromisoformat(ts).date().isoformat() except Exception: return None bots_data = [] all_daily = defaultdict(lambda: {"pnl": 0, "wins": 0, "losses": 0, "trades": 0}) # sports bot summary sports_state = safe_load(SPORTS_STATE, {"balance": 1500, "trades": []}) sports_trades = sports_state.get("trades", []) or [] sports_closed = [t for t in sports_trades if t.get("status") == "closed" or "pnl" in t] sports_wins = sum(1 for t in sports_closed if t.get("pnl", 0) > 0) sports_losses = sum(1 for t in sports_closed if t.get("pnl", 0) < 0) # polymarket paper bot summary pm_state = safe_load("polymarket_state.json", {"balance": 1500, "trades": []}) pm_history = safe_load("polymarket_history.json", []) pm_wins = sum(1 for t in pm_history if t.get("pnl", 0) > 0) pm_losses = sum(1 for t in pm_history if t.get("pnl", 0) < 0) pm_last = pm_history[-1] if pm_history else None pm5_state = safe_load("polymarket_state_5m.json", {"balance": 1500, "trades": []}) pm5_history = safe_load("polymarket_history_5m.json", []) pm5_wins = sum(1 for t in pm5_history if t.get("pnl", 0) > 0) pm5_losses = sum(1 for t in pm5_history if t.get("pnl", 0) < 0) pm5_last = pm5_history[-1] if pm5_history else None for b in BOTS: state = safe_load(b["state"], {"balance": 1500, "trades": []}) history = safe_load(b["history"], []) wins, losses, breakeven, total_pnl = summarize_history(history) open_trades = state.get("trades", []) or [] last_trade = history[-1] if history else None # daily aggregation daily = defaultdict(lambda: {"pnl": 0, "wins": 0, "losses": 0, "trades": 0}) for t in history: d = parse_trade_date(t) if not d: continue daily[d]["pnl"] += t.get("pnl", 0) daily[d]["trades"] += 1 daily[d]["wins"] += 1 if t.get("pnl", 0) > 0 else 0 daily[d]["losses"] += 1 if t.get("pnl", 0) < 0 else 0 all_daily[d]["pnl"] += t.get("pnl", 0) all_daily[d]["trades"] += 1 all_daily[d]["wins"] += 1 if t.get("pnl", 0) > 0 else 0 all_daily[d]["losses"] += 1 if t.get("pnl", 0) < 0 else 0 bots_data.append({ **b, "balance": state.get("balance", 1500), "open_trades": open_trades, "wins": wins, "losses": losses, "breakeven": breakeven, "total_pnl": total_pnl, "last_trade": last_trade, "trades_count": len(history), "daily": daily, }) total_balance = sum(b["balance"] for b in bots_data) latest_day = max(all_daily.keys()) if all_daily else None latest_summary = all_daily.get(latest_day, {"pnl": 0, "wins": 0, "losses": 0, "trades": 0}) # write a once-per-day summary file summary_path = "daily_summary.json" try: existing = safe_load(summary_path, {}) except Exception: existing = {} if latest_day and existing.get("date") != latest_day: summary_payload = { "date": latest_day, "pnl": latest_summary.get("pnl", 0), "wins": latest_summary.get("wins", 0), "losses": latest_summary.get("losses", 0), "trades": latest_summary.get("trades", 0), } with open(summary_path, "w") as f: json.dump(summary_payload, f) def format_trade(t): if not t: return "—" ticker = t.get("ticker", "?") pnl = t.get("pnl", 0) entry = t.get("entry", 0) exitp = t.get("exit", 0) ts = t.get("time", "") return f"{ticker} | entry {entry:.2f} exit {exitp:.2f} | pnl {pnl:.2f} | {ts}" html = f''' Trading Dashboard

Trading Dashboard

Daily Summary {latest_day if latest_day else ''}

Trades{latest_summary.get('trades', 0)}
Wins{latest_summary.get('wins', 0)}
Losses{latest_summary.get('losses', 0)}
PnL{latest_summary.get('pnl', 0):.2f}

Kalshi Bots

{''.join([ f"""

{b['name']} Bot

${b['balance']:.2f}
Trades{b['trades_count']}
Wins{b['wins']}
Losses{b['losses']}
Breakeven{b['breakeven']}
Total PnL{b['total_pnl']:.2f}
Open Trades{len(b['open_trades'])}
Last Trade: {format_trade(b['last_trade'])}
""" for b in bots_data])}

Sports Bot

${sports_state.get('balance', 0):.2f}
Closed Trades{len(sports_closed)}
Wins{sports_wins}
Losses{sports_losses}
Total Balance: ${total_balance:.2f}

Polymarket Bots

BTC 15m

${pm_state.get('balance', 0):.2f}
Open Trades{len(pm_state.get('trades', []))}
Total Trades{len(pm_history)}
Wins{pm_wins}
Losses{pm_losses}
Last Trade: {format_trade(pm_last)}

BTC 5m

${pm5_state.get('balance', 0):.2f}
Open Trades{len(pm5_state.get('trades', []))}
Total Trades{len(pm5_history)}
Wins{pm5_wins}
Losses{pm5_losses}
Last Trade: {format_trade(pm5_last)}
Updated: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}

BTC 15m Chart

''' with open('dashboard.html', 'w') as f: f.write(html) print(" | ".join([f"{b['name']}: ${b['balance']:.2f} (W{b['wins']}/L{b['losses']})" for b in bots_data]) + f" | Total: ${total_balance:.2f}")