sami7777
82c68fa8b0
- Switch to oil stocks (USO, XLE, OXY, CVX, XOM, SLB, HAL, DVN, MPC, VLO) - Add JPY/USD forex pairs for Japan targeting - 7-action RL space: long, short, close (was 5 long-only actions) - Bollinger Band mean-reversion scalp entries both directions - 5-minute candles with 60-second cycles for scalping - 35 features (added VWAP, fast RSI, fast ROC for scalping) - Short position support in backtest, executor, and RL environment - GA tuned for scalping: tighter SL/TP, shorter hold times Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
52 lines
1.8 KiB
Python
52 lines
1.8 KiB
Python
#!/usr/bin/env python3
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"""Read BIGGFISH trade history from SQLite database for Krystie."""
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import sqlite3, sys
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DB = "/opt/biggfish/src/data/biggfish.db"
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LIMIT = int(sys.argv[1]) if len(sys.argv) > 1 else 20
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try:
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db = sqlite3.connect(DB)
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db.row_factory = sqlite3.Row
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except Exception as e:
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print("BIGGFISH database not found at", DB)
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sys.exit(1)
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rows = db.execute("""
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SELECT symbol, side, amount, entry_price, exit_price,
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entry_time, exit_time, pnl, pnl_pct, status, strategy_id
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FROM trades
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ORDER BY entry_time DESC
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LIMIT ?
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""", (LIMIT,)).fetchall()
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if not rows:
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print("No trades recorded yet.")
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sys.exit(0)
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print("=== BIGGFISH TRADE HISTORY (last {}) ===".format(len(rows)))
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print()
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print("{:<10} {:<6} {:>10} {:>10} {:>10} {:>8} {:<10} {:<20}".format(
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"Symbol", "Side", "Entry", "Exit", "P&L", "P&L%", "Status", "Time"))
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print("-" * 90)
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for r in rows:
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entry = "${:.4f}".format(r["entry_price"]) if r["entry_price"] else "-"
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exit_p = "${:.4f}".format(r["exit_price"]) if r["exit_price"] else "-"
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pnl = "${:+.2f}".format(r["pnl"]) if r["pnl"] is not None else "-"
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pnl_pct = "{:+.1f}%".format(r["pnl_pct"]) if r["pnl_pct"] is not None else "-"
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print("{:<10} {:<6} {:>10} {:>10} {:>10} {:>8} {:<10} {:<20}".format(
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r["symbol"], r["side"], entry, exit_p, pnl, pnl_pct,
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r["status"], str(r["entry_time"])[:19]))
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closed = [r for r in rows if r["status"] == "closed" and r["pnl"] is not None]
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if closed:
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total_pnl = sum(r["pnl"] for r in closed)
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wins = sum(1 for r in closed if r["pnl"] > 0)
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losses = sum(1 for r in closed if r["pnl"] <= 0)
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print()
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print("Summary: {} closed trades | {} wins | {} losses | Total P&L: ${:+.2f}".format(
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len(closed), wins, losses, total_pnl))
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db.close()
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