Stock Pilot sync 2026-10-20T11:09:18Z

stockpilot/README.md

@@ -34,6 +34,8 @@ With an existing virtualenv, use `.venv/bin/stockpilot ...` instead.
 - **Data:** Yahoo Finance chart API by default, cached in SQLite. Quotes are
   synthetic from the latest completed bar and marked delayed. An optional
   Webull OpenAPI feed can be enabled after a market-data subscription is active.
+  Bars are fetched once per interval and reused between loop cycles to avoid
+  hammering the provider; snapshots come from the cache.
 - **Features:** 56 causal technical features across RSI, MACD, Bollinger Bands,
   ATR/ADX, Ichimoku, Fibonacci position, VWAP, EMAs, volume, pivots, and time of
   day. Features never use future bars.

stockpilot/data/reports/reasons2_20261020_105645.json

@@ -0,0 +1,632 @@
+{
+  "label": "reasons2",
+  "generated_at": "2026-10-20T10:56:45.661270+00:00",
+  "start": "2026-09-28T13:30:00+00:00",
+  "end": "2026-10-19T20:00:00+00:00",
+  "symbols": 100,
+  "bars": 1249,
+  "model": {
+    "rows": 310873,
+    "bottom_positive": 7964,
+    "top_positive": 8090,
+    "bottom_auc": 0.915165762263474,
+    "top_auc": 0.917786181112047,
+    "bottom_cv_auc": 0.8872258147013774,
+    "top_cv_auc": 0.8932111752120084,
+    "trained_at": "2026-10-20T10:47:01.310267+00:00"
+  },
+  "settings": {
+    "entry_threshold": 0.85,
+    "exit_threshold": 0.55,
+    "initial_cash": 10000.0,
+    "cash_buffer_pct": 25.0,
+    "max_position_pct": 10.0,
+    "daily_loss_pct": 2.0,
+    "max_concurrent": 10,
+    "min_breadth": 0.0,
+    "slippage_bps": 2.0
+  },
+  "metrics": {
+    "initial_cash": 10000.0,
+    "final_equity": 10024.94,
+    "total_return_pct": 0.249,
+    "max_drawdown_pct": -0.105,
+    "sharpe_daily_annualized": 5.844,
+    "trades": 215,
+    "win_rate_pct": 61.4,
+    "profit_factor": 2.222,
+    "avg_trade_pnl": 0.4273,
+    "avg_win": 1.2657,
+    "avg_loss": -0.9061,
+    "gross_profit": 167.07,
+    "gross_loss": 75.2,
+    "exposure_pct": 42.19,
+    "bars": 1249,
+    "days": 16
+  },
+  "per_symbol": [
+    {
+      "symbol": "MRNA",
+      "trades": 6,
+      "pnl": 31.47,
+      "wins": 3,
+      "win_rate_pct": 50.0
+    },
+    {
+      "symbol": "ALAB",
+      "trades": 5,
+      "pnl": 18.12,
+      "wins": 3,
+      "win_rate_pct": 60.0
+    },
+    {
+      "symbol": "TXN",
+      "trades": 4,
+      "pnl": 17.26,
+      "wins": 4,
+      "win_rate_pct": 100.0
+    },
+    {
+      "symbol": "STX",
+      "trades": 2,
+      "pnl": 7.24,
+      "wins": 2,
+      "win_rate_pct": 100.0
+    },
+    {
+      "symbol": "NBIS",
+      "trades": 5,
+      "pnl": 5.41,
+      "wins": 4,
+      "win_rate_pct": 80.0
+    },
+    {
+      "symbol": "ABNB",
+      "trades": 6,
+      "pnl": 4.8,
+      "wins": 4,
+      "win_rate_pct": 66.7
+    },
+    {
+      "symbol": "TER",
+      "trades": 3,
+      "pnl": 4.19,
+      "wins": 3,
+      "win_rate_pct": 100.0
+    },
+    {
+      "symbol": "COST",
+      "trades": 2,
+      "pnl": 4.14,
+      "wins": 2,
+      "win_rate_pct": 100.0
+    },
+    {
+      "symbol": "DDOG",
+      "trades": 5,
+      "pnl": 3.78,
+      "wins": 4,
+      "win_rate_pct": 80.0
+    },
+    {
+      "symbol": "LIN",
+      "trades": 2,
+      "pnl": 3.22,
+      "wins": 2,
+      "win_rate_pct": 100.0
+    },
+    {
+      "symbol": "ADI",
+      "trades": 6,
+      "pnl": 3.16,
+      "wins": 4,
+      "win_rate_pct": 66.7
+    },
+    {
+      "symbol": "NXPI",
+      "trades": 6,
+      "pnl": 2.4,
+      "wins": 4,
+      "win_rate_pct": 66.7
+    },
+    {
+      "symbol": "LRCX",
+      "trades": 2,
+      "pnl": 2.27,
+      "wins": 2,
+      "win_rate_pct": 100.0
+    },
+    {
+      "symbol": "CDNS",
+      "trades": 5,
+      "pnl": 2.25,
+      "wins": 4,
+      "win_rate_pct": 80.0
+    },
+    {
+      "symbol": "MSTR",
+      "trades": 2,
+      "pnl": 2.23,
+      "wins": 2,
+      "win_rate_pct": 100.0
+    },
+    {
+      "symbol": "IDXX",
+      "trades": 2,
+      "pnl": 2.22,
+      "wins": 2,
+      "win_rate_pct": 100.0
+    },
+    {
+      "symbol": "HON",
+      "trades": 4,
+      "pnl": 1.95,
+      "wins": 4,
+      "win_rate_pct": 100.0
+    },
+    {
+      "symbol": "ALNY",
+      "trades": 2,
+      "pnl": 1.66,
+      "wins": 2,
+      "win_rate_pct": 100.0
+    },
+    {
+      "symbol": "ADBE",
+      "trades": 3,
+      "pnl": 1.63,
+      "wins": 2,
+      "win_rate_pct": 66.7
+    },
+    {
+      "symbol": "SHOP",
+      "trades": 4,
+      "pnl": 1.6,
+      "wins": 4,
+      "win_rate_pct": 100.0
+    },
+    {
+      "symbol": "AMAT",
+      "trades": 1,
+      "pnl": 1.54,
+      "wins": 1,
+      "win_rate_pct": 100.0
+    },
+    {
+      "symbol": "TSLA",
+      "trades": 1,
+      "pnl": 1.53,
+      "wins": 1,
+      "win_rate_pct": 100.0
+    },
+    {
+      "symbol": "INTU",
+      "trades": 3,
+      "pnl": 1.41,
+      "wins": 2,
+      "win_rate_pct": 66.7
+    },
+    {
+      "symbol": "CTAS",
+      "trades": 1,
+      "pnl": 1.34,
+      "wins": 1,
+      "win_rate_pct": 100.0
+    },
+    {
+      "symbol": "HONA",
+      "trades": 6,
+      "pnl": 1.29,
+      "wins": 4,
+      "win_rate_pct": 66.7
+    },
+    {
+      "symbol": "MAR",
+      "trades": 4,
+      "pnl": 1.11,
+      "wins": 3,
+      "win_rate_pct": 75.0
+    },
+    {
+      "symbol": "WDAY",
+      "trades": 2,
+      "pnl": 1.08,
+      "wins": 2,
+      "win_rate_pct": 100.0
+    },
+    {
+      "symbol": "PANW",
+      "trades": 3,
+      "pnl": 0.99,
+      "wins": 2,
+      "win_rate_pct": 66.7
+    },
+    {
+      "symbol": "CRWD",
+      "trades": 3,
+      "pnl": 0.97,
+      "wins": 3,
+      "win_rate_pct": 100.0
+    },
+    {
+      "symbol": "GEHC",
+      "trades": 2,
+      "pnl": 0.9,
+      "wins": 2,
+      "win_rate_pct": 100.0
+    },
+    {
+      "symbol": "ISRG",
+      "trades": 5,
+      "pnl": 0.52,
+      "wins": 4,
+      "win_rate_pct": 80.0
+    },
+    {
+      "symbol": "GILD",
+      "trades": 2,
+      "pnl": 0.47,
+      "wins": 2,
+      "win_rate_pct": 100.0
+    },
+    {
+      "symbol": "AMZN",
+      "trades": 1,
+      "pnl": 0.46,
+      "wins": 1,
+      "win_rate_pct": 100.0
+    },
+    {
+      "symbol": "FTNT",
+      "trades": 1,
+      "pnl": 0.43,
+      "wins": 1,
+      "win_rate_pct": 100.0
+    },
+    {
+      "symbol": "AEP",
+      "trades": 1,
+      "pnl": 0.3,
+      "wins": 1,
+      "win_rate_pct": 100.0
+    },
+    {
+      "symbol": "PAYX",
+      "trades": 1,
+      "pnl": 0.28,
+      "wins": 1,
+      "win_rate_pct": 100.0
+    },
+    {
+      "symbol": "FANG",
+      "trades": 2,
+      "pnl": 0.27,
+      "wins": 1,
+      "win_rate_pct": 50.0
+    },
+    {
+      "symbol": "XEL",
+      "trades": 5,
+      "pnl": 0.22,
+      "wins": 3,
+      "win_rate_pct": 60.0
+    },
+    {
+      "symbol": "CPRT",
+      "trades": 2,
+      "pnl": 0.22,
+      "wins": 2,
+      "win_rate_pct": 100.0
+    },
+    {
+      "symbol": "PYPL",
+      "trades": 3,
+      "pnl": 0.19,
+      "wins": 3,
+      "win_rate_pct": 100.0
+    },
+    {
+      "symbol": "DXCM",
+      "trades": 2,
+      "pnl": 0.19,
+      "wins": 2,
+      "win_rate_pct": 100.0
+    },
+    {
+      "symbol": "FAST",
+      "trades": 1,
+      "pnl": 0.18,
+      "wins": 1,
+      "win_rate_pct": 100.0
+    },
+    {
+      "symbol": "PEP",
+      "trades": 1,
+      "pnl": 0.17,
+      "wins": 1,
+      "win_rate_pct": 100.0
+    },
+    {
+      "symbol": "ORLY",
+      "trades": 2,
+      "pnl": 0.17,
+      "wins": 2,
+      "win_rate_pct": 100.0
+    },
+    {
+      "symbol": "CSCO",
+      "trades": 2,
+      "pnl": 0.16,
+      "wins": 1,
+      "win_rate_pct": 50.0
+    },
+    {
+      "symbol": "KDP",
+      "trades": 1,
+      "pnl": 0.12,
+      "wins": 1,
+      "win_rate_pct": 100.0
+    },
+    {
+      "symbol": "NFLX",
+      "trades": 1,
+      "pnl": 0.11,
+      "wins": 1,
+      "win_rate_pct": 100.0
+    },
+    {
+      "symbol": "EXC",
+      "trades": 1,
+      "pnl": 0.07,
+      "wins": 1,
+      "win_rate_pct": 100.0
+    },
+    {
+      "symbol": "MNST",
+      "trades": 3,
+      "pnl": 0.07,
+      "wins": 2,
+      "win_rate_pct": 66.7
+    },
+    {
+      "symbol": "INTC",
+      "trades": 3,
+      "pnl": 0.06,
+      "wins": 2,
+      "win_rate_pct": 66.7
+    },
+    {
+      "symbol": "WDC",
+      "trades": 1,
+      "pnl": 0.04,
+      "wins": 1,
+      "win_rate_pct": 100.0
+    },
+    {
+      "symbol": "DASH",
+      "trades": 6,
+      "pnl": 0.03,
+      "wins": 3,
+      "win_rate_pct": 50.0
+    },
+    {
+      "symbol": "MDLZ",
+      "trades": 2,
+      "pnl": 0.02,
+      "wins": 1,
+      "win_rate_pct": 50.0
+    },
+    {
+      "symbol": "CMCSA",
+      "trades": 2,
+      "pnl": -0.04,
+      "wins": 1,
+      "win_rate_pct": 50.0
+    },
+    {
+      "symbol": "CCEP",
+      "trades": 2,
+      "pnl": -0.04,
+      "wins": 1,
+      "win_rate_pct": 50.0
+    },
+    {
+      "symbol": "PDD",
+      "trades": 3,
+      "pnl": -0.17,
+      "wins": 1,
+      "win_rate_pct": 33.3
+    },
+    {
+      "symbol": "WMT",
+      "trades": 1,
+      "pnl": -0.17,
+      "wins": 0,
+      "win_rate_pct": 0.0
+    },
+    {
+      "symbol": "SBUX",
+      "trades": 1,
+      "pnl": -0.25,
+      "wins": 0,
+      "win_rate_pct": 0.0
+    },
+    {
+      "symbol": "TRI",
+      "trades": 4,
+      "pnl": -0.3,
+      "wins": 1,
+      "win_rate_pct": 25.0
+    },
+    {
+      "symbol": "CRWV",
+      "trades": 3,
+      "pnl": -0.31,
+      "wins": 1,
+      "win_rate_pct": 33.3
+    },
+    {
+      "symbol": "MCHP",
+      "trades": 3,
+      "pnl": -0.35,
+      "wins": 1,
+      "win_rate_pct": 33.3
+    },
+    {
+      "symbol": "BKR",
+      "trades": 5,
+      "pnl": -0.37,
+      "wins": 1,
+      "win_rate_pct": 20.0
+    },
+    {
+      "symbol": "QCOM",
+      "trades": 2,
+      "pnl": -0.51,
+      "wins": 1,
+      "win_rate_pct": 50.0
+    },
+    {
+      "symbol": "ROST",
+      "trades": 2,
+      "pnl": -0.87,
+      "wins": 0,
+      "win_rate_pct": 0.0
+    },
+    {
+      "symbol": "AMGN",
+      "trades": 1,
+      "pnl": -0.87,
+      "wins": 0,
+      "win_rate_pct": 0.0
+    },
+    {
+      "symbol": "VRTX",
+      "trades": 1,
+      "pnl": -0.88,
+      "wins": 0,
+      "win_rate_pct": 0.0
+    },
+    {
+      "symbol": "RKLB",
+      "trades": 2,
+      "pnl": -0.93,
+      "wins": 0,
+      "win_rate_pct": 0.0
+    },
+    {
+      "symbol": "ODFL",
+      "trades": 5,
+      "pnl": -1.34,
+      "wins": 1,
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+    },
+    {
+      "symbol": "APP",
+      "trades": 1,
+      "pnl": -1.4,
+      "wins": 0,
+      "win_rate_pct": 0.0
+    },
+    {
+      "symbol": "BKNG",
+      "trades": 2,
+      "pnl": -1.42,
+      "wins": 0,
+      "win_rate_pct": 0.0
+    },
+    {
+      "symbol": "ARM",
+      "trades": 1,
+      "pnl": -1.61,
+      "wins": 0,
+      "win_rate_pct": 0.0
+    },
+    {
+      "symbol": "AVGO",
+      "trades": 3,
+      "pnl": -1.66,
+      "wins": 1,
+      "win_rate_pct": 33.3
+    },
+    {
+      "symbol": "KLAC",
+      "trades": 2,
+      "pnl": -1.79,
+      "wins": 0,
+      "win_rate_pct": 0.0
+    },
+    {
+      "symbol": "MSFT",
+      "trades": 2,
+      "pnl": -2.14,
+      "wins": 0,
+      "win_rate_pct": 0.0
+    },
+    {
+      "symbol": "SPCX",
+      "trades": 6,
+      "pnl": -2.67,
+      "wins": 1,
+      "win_rate_pct": 16.7
+    },
+    {
+      "symbol": "SNPS",
+      "trades": 3,
+      "pnl": -3.75,
+      "wins": 0,
+      "win_rate_pct": 0.0
+    },
+    {
+      "symbol": "CEG",
+      "trades": 3,
+      "pnl": -4.27,
+      "wins": 1,
+      "win_rate_pct": 33.3
+    },
+    {
+      "symbol": "REGN",
+      "trades": 3,
+      "pnl": -6.8,
+      "wins": 0,
+      "win_rate_pct": 0.0
+    },
+    {
+      "symbol": "MRVL",
+      "trades": 1,
+      "pnl": -11.14,
+      "wins": 0,
+      "win_rate_pct": 0.0
+    }
+  ],
+  "per_exit_reason": [
+    {
+      "exit_reason": "model_exit",
+      "trades": 91,
+      "pnl": 89.08,
+      "wins": 84,
+      "win_rate_pct": 92.3
+    },
+    {
+      "exit_reason": "take_profit",
+      "trades": 43,
+      "pnl": 61.42,
+      "wins": 41,
+      "win_rate_pct": 95.3
+    },
+    {
+      "exit_reason": "flatten_all",
+      "trades": 1,
+      "pnl": 0.01,
+      "wins": 1,
+      "win_rate_pct": 100.0
+    },
+    {
+      "exit_reason": "stop_loss",
+      "trades": 80,
+      "pnl": -58.65,
+      "wins": 6,
+      "win_rate_pct": 7.5
+    }
+  ]
+}

stockpilot/data/reports/reasons_20261020_105623.json

@@ -0,0 +1,602 @@
+{
+  "label": "reasons",
+  "generated_at": "2026-10-20T10:56:23.321598+00:00",
+  "start": "2026-09-28T13:30:00+00:00",
+  "end": "2026-10-19T20:00:00+00:00",
+  "symbols": 100,
+  "bars": 1249,
+  "model": {
+    "rows": 310873,
+    "bottom_positive": 7964,
+    "top_positive": 8090,
+    "bottom_auc": 0.915165762263474,
+    "top_auc": 0.917786181112047,
+    "bottom_cv_auc": 0.8872258147013774,
+    "top_cv_auc": 0.8932111752120084,
+    "trained_at": "2026-10-20T10:47:01.310267+00:00"
+  },
+  "settings": {
+    "entry_threshold": 0.85,
+    "exit_threshold": 0.55,
+    "initial_cash": 10000.0,
+    "cash_buffer_pct": 25.0,
+    "max_position_pct": 10.0,
+    "daily_loss_pct": 2.0,
+    "max_concurrent": 10,
+    "min_breadth": 0.0,
+    "slippage_bps": 2.0
+  },
+  "metrics": {
+    "initial_cash": 10000.0,
+    "final_equity": 10024.94,
+    "total_return_pct": 0.249,
+    "max_drawdown_pct": -0.105,
+    "sharpe_daily_annualized": 5.844,
+    "trades": 215,
+    "win_rate_pct": 61.4,
+    "profit_factor": 2.222,
+    "avg_trade_pnl": 0.4273,
+    "avg_win": 1.2657,
+    "avg_loss": -0.9061,
+    "gross_profit": 167.07,
+    "gross_loss": 75.2,
+    "exposure_pct": 42.19,
+    "bars": 1249,
+    "days": 16
+  },
+  "per_symbol": [
+    {
+      "symbol": "MRNA",
+      "trades": 6,
+      "pnl": 31.47,
+      "wins": 3,
+      "win_rate_pct": 50.0
+    },
+    {
+      "symbol": "ALAB",
+      "trades": 5,
+      "pnl": 18.12,
+      "wins": 3,
+      "win_rate_pct": 60.0
+    },
+    {
+      "symbol": "TXN",
+      "trades": 4,
+      "pnl": 17.26,
+      "wins": 4,
+      "win_rate_pct": 100.0
+    },
+    {
+      "symbol": "STX",
+      "trades": 2,
+      "pnl": 7.24,
+      "wins": 2,
+      "win_rate_pct": 100.0
+    },
+    {
+      "symbol": "NBIS",
+      "trades": 5,
+      "pnl": 5.41,
+      "wins": 4,
+      "win_rate_pct": 80.0
+    },
+    {
+      "symbol": "ABNB",
+      "trades": 6,
+      "pnl": 4.8,
+      "wins": 4,
+      "win_rate_pct": 66.7
+    },
+    {
+      "symbol": "TER",
+      "trades": 3,
+      "pnl": 4.19,
+      "wins": 3,
+      "win_rate_pct": 100.0
+    },
+    {
+      "symbol": "COST",
+      "trades": 2,
+      "pnl": 4.14,
+      "wins": 2,
+      "win_rate_pct": 100.0
+    },
+    {
+      "symbol": "DDOG",
+      "trades": 5,
+      "pnl": 3.78,
+      "wins": 4,
+      "win_rate_pct": 80.0
+    },
+    {
+      "symbol": "LIN",
+      "trades": 2,
+      "pnl": 3.22,
+      "wins": 2,
+      "win_rate_pct": 100.0
+    },
+    {
+      "symbol": "ADI",
+      "trades": 6,
+      "pnl": 3.16,
+      "wins": 4,
+      "win_rate_pct": 66.7
+    },
+    {
+      "symbol": "NXPI",
+      "trades": 6,
+      "pnl": 2.4,
+      "wins": 4,
+      "win_rate_pct": 66.7
+    },
+    {
+      "symbol": "LRCX",
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+    }
+  ]
+}

stockpilot/data/reports/wf_entry90_f1_20261020_105952.json

@@ -0,0 +1,289 @@
+{
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+}

stockpilot/data/reports/wf_entry90_f2_20261020_110319.json

@@ -0,0 +1,254 @@
+{
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stockpilot/data/reports/wf_entry90_f3_20261020_110648.json

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stockpilot/data/reports/wf_entry90_walkforward_20261020_110648.json

@@ -0,0 +1,91 @@
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stockpilot/data/reports/wf_stop12_f1_20261020_105953.json

@@ -0,0 +1,471 @@
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+  ]
+}

stockpilot/data/reports/wf_stop12_f2_20261020_110322.json

@@ -0,0 +1,450 @@
+{
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+  ]
+}

stockpilot/data/reports/wf_stop12_f3_20261020_110650.json

@@ -0,0 +1,443 @@
+{
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+    "total_return_pct": -0.016,
+    "max_drawdown_pct": -0.104,
+    "sharpe_daily_annualized": -3.035,
+    "trades": 92,
+    "win_rate_pct": 55.43,
+    "profit_factor": 1.008,
+    "avg_trade_pnl": 0.0029,
+    "avg_win": 0.6607,
+    "avg_loss": -0.8155,
+    "gross_profit": 33.7,
+    "gross_loss": 33.43,
+    "exposure_pct": 47.84,
+    "bars": 625,
+    "days": 8
+  },
+  "per_symbol": [
+    {
+      "symbol": "ADI",
+      "trades": 2,
+      "pnl": 2.75,
+      "wins": 2,
+      "win_rate_pct": 100.0
+    },
+    {
+      "symbol": "CEG",
+      "trades": 2,
+      "pnl": 2.47,
+      "wins": 2,
+      "win_rate_pct": 100.0
+    },
+    {
+      "symbol": "AXON",
+      "trades": 1,
+      "pnl": 2.1,
+      "wins": 1,
+      "win_rate_pct": 100.0
+    },
+    {
+      "symbol": "KLAC",
+      "trades": 1,
+      "pnl": 1.55,
+      "wins": 1,
+      "win_rate_pct": 100.0
+    },
+    {
+      "symbol": "FANG",
+      "trades": 2,
+      "pnl": 1.38,
+      "wins": 2,
+      "win_rate_pct": 100.0
+    },
+    {
+      "symbol": "ALNY",
+      "trades": 1,
+      "pnl": 1.32,
+      "wins": 1,
+      "win_rate_pct": 100.0
+    },
+    {
+      "symbol": "WDAY",
+      "trades": 2,
+      "pnl": 1.19,
+      "wins": 2,
+      "win_rate_pct": 100.0
+    },
+    {
+      "symbol": "NXPI",
+      "trades": 4,
+      "pnl": 0.93,
+      "wins": 3,
+      "win_rate_pct": 75.0
+    },
+    {
+      "symbol": "MRNA",
+      "trades": 2,
+      "pnl": 0.83,
+      "wins": 1,
+      "win_rate_pct": 50.0
+    },
+    {
+      "symbol": "INTU",
+      "trades": 2,
+      "pnl": 0.66,
+      "wins": 1,
+      "win_rate_pct": 50.0
+    },
+    {
+      "symbol": "TXN",
+      "trades": 1,
+      "pnl": 0.61,
+      "wins": 1,
+      "win_rate_pct": 100.0
+    },
+    {
+      "symbol": "MAR",
+      "trades": 3,
+      "pnl": 0.55,
+      "wins": 2,
+      "win_rate_pct": 66.7
+    },
+    {
+      "symbol": "DASH",
+      "trades": 3,
+      "pnl": 0.51,
+      "wins": 1,
+      "win_rate_pct": 33.3
+    },
+    {
+      "symbol": "ABNB",
+      "trades": 2,
+      "pnl": 0.47,
+      "wins": 1,
+      "win_rate_pct": 50.0
+    },
+    {
+      "symbol": "FTNT",
+      "trades": 1,
+      "pnl": 0.43,
+      "wins": 1,
+      "win_rate_pct": 100.0
+    },
+    {
+      "symbol": "CTAS",
+      "trades": 1,
+      "pnl": 0.41,
+      "wins": 1,
+      "win_rate_pct": 100.0
+    },
+    {
+      "symbol": "SHOP",
+      "trades": 1,
+      "pnl": 0.37,
+      "wins": 1,
+      "win_rate_pct": 100.0
+    },
+    {
+      "symbol": "GILD",
+      "trades": 1,
+      "pnl": 0.31,
+      "wins": 1,
+      "win_rate_pct": 100.0
+    },
+    {
+      "symbol": "TRI",
+      "trades": 2,
+      "pnl": 0.25,
+      "wins": 1,
+      "win_rate_pct": 50.0
+    },
+    {
+      "symbol": "GEHC",
+      "trades": 2,
+      "pnl": 0.24,
+      "wins": 2,
+      "win_rate_pct": 100.0
+    },
+    {
+      "symbol": "CCEP",
+      "trades": 3,
+      "pnl": 0.19,
+      "wins": 2,
+      "win_rate_pct": 66.7
+    },
+    {
+      "symbol": "FAST",
+      "trades": 1,
+      "pnl": 0.18,
+      "wins": 1,
+      "win_rate_pct": 100.0
+    },
+    {
+      "symbol": "PEP",
+      "trades": 1,
+      "pnl": 0.17,
+      "wins": 1,
+      "win_rate_pct": 100.0
+    },
+    {
+      "symbol": "DXCM",
+      "trades": 2,
+      "pnl": 0.16,
+      "wins": 2,
+      "win_rate_pct": 100.0
+    },
+    {
+      "symbol": "DDOG",
+      "trades": 2,
+      "pnl": 0.14,
+      "wins": 1,
+      "win_rate_pct": 50.0
+    },
+    {
+      "symbol": "KDP",
+      "trades": 1,
+      "pnl": 0.12,
+      "wins": 1,
+      "win_rate_pct": 100.0
+    },
+    {
+      "symbol": "WMT",
+      "trades": 2,
+      "pnl": 0.11,
+      "wins": 1,
+      "win_rate_pct": 50.0
+    },
+    {
+      "symbol": "EXC",
+      "trades": 1,
+      "pnl": 0.07,
+      "wins": 1,
+      "win_rate_pct": 100.0
+    },
+    {
+      "symbol": "MNST",
+      "trades": 1,
+      "pnl": 0.07,
+      "wins": 1,
+      "win_rate_pct": 100.0
+    },
+    {
+      "symbol": "AEP",
+      "trades": 2,
+      "pnl": 0.07,
+      "wins": 1,
+      "win_rate_pct": 50.0
+    },
+    {
+      "symbol": "HON",
+      "trades": 1,
+      "pnl": 0.06,
+      "wins": 1,
+      "win_rate_pct": 100.0
+    },
+    {
+      "symbol": "PYPL",
+      "trades": 1,
+      "pnl": 0.04,
+      "wins": 1,
+      "win_rate_pct": 100.0
+    },
+    {
+      "symbol": "ADBE",
+      "trades": 4,
+      "pnl": 0.02,
+      "wins": 2,
+      "win_rate_pct": 50.0
+    },
+    {
+      "symbol": "ROST",
+      "trades": 2,
+      "pnl": -0.03,
+      "wins": 1,
+      "win_rate_pct": 50.0
+    },
+    {
+      "symbol": "CPRT",
+      "trades": 1,
+      "pnl": -0.09,
+      "wins": 0,
+      "win_rate_pct": 0.0
+    },
+    {
+      "symbol": "CMCSA",
+      "trades": 3,
+      "pnl": -0.1,
+      "wins": 1,
+      "win_rate_pct": 33.3
+    },
+    {
+      "symbol": "APP",
+      "trades": 1,
+      "pnl": -0.1,
+      "wins": 0,
+      "win_rate_pct": 0.0
+    },
+    {
+      "symbol": "PDD",
+      "trades": 2,
+      "pnl": -0.12,
+      "wins": 1,
+      "win_rate_pct": 50.0
+    },
+    {
+      "symbol": "XEL",
+      "trades": 1,
+      "pnl": -0.12,
+      "wins": 0,
+      "win_rate_pct": 0.0
+    },
+    {
+      "symbol": "ODFL",
+      "trades": 1,
+      "pnl": -0.14,
+      "wins": 0,
+      "win_rate_pct": 0.0
+    },
+    {
+      "symbol": "BKR",
+      "trades": 3,
+      "pnl": -0.27,
+      "wins": 0,
+      "win_rate_pct": 0.0
+    },
+    {
+      "symbol": "QCOM",
+      "trades": 2,
+      "pnl": -0.47,
+      "wins": 1,
+      "win_rate_pct": 50.0
+    },
+    {
+      "symbol": "BKNG",
+      "trades": 1,
+      "pnl": -0.58,
+      "wins": 0,
+      "win_rate_pct": 0.0
+    },
+    {
+      "symbol": "HONA",
+      "trades": 5,
+      "pnl": -0.6,
+      "wins": 3,
+      "win_rate_pct": 60.0
+    },
+    {
+      "symbol": "ROP",
+      "trades": 1,
+      "pnl": -0.65,
+      "wins": 0,
+      "win_rate_pct": 0.0
+    },
+    {
+      "symbol": "SPCX",
+      "trades": 1,
+      "pnl": -0.74,
+      "wins": 0,
+      "win_rate_pct": 0.0
+    },
+    {
+      "symbol": "ISRG",
+      "trades": 2,
+      "pnl": -1.51,
+      "wins": 0,
+      "win_rate_pct": 0.0
+    },
+    {
+      "symbol": "MRVL",
+      "trades": 1,
+      "pnl": -1.69,
+      "wins": 0,
+      "win_rate_pct": 0.0
+    },
+    {
+      "symbol": "AMGN",
+      "trades": 2,
+      "pnl": -1.73,
+      "wins": 0,
+      "win_rate_pct": 0.0
+    },
+    {
+      "symbol": "GOOGL",
+      "trades": 2,
+      "pnl": -2.53,
+      "wins": 0,
+      "win_rate_pct": 0.0
+    },
+    {
+      "symbol": "META",
+      "trades": 1,
+      "pnl": -3.53,
+      "wins": 0,
+      "win_rate_pct": 0.0
+    },
+    {
+      "symbol": "REGN",
+      "trades": 2,
+      "pnl": -5.47,
+      "wins": 0,
+      "win_rate_pct": 0.0
+    }
+  ],
+  "per_exit_reason": [
+    {
+      "exit_reason": "model_exit",
+      "trades": 42,
+      "pnl": 22.42,
+      "wins": 35,
+      "win_rate_pct": 83.3
+    },
+    {
+      "exit_reason": "take_profit",
+      "trades": 14,
+      "pnl": 8.63,
+      "wins": 14,
+      "win_rate_pct": 100.0
+    },
+    {
+      "exit_reason": "flatten_all",
+      "trades": 1,
+      "pnl": 2.1,
+      "wins": 1,
+      "win_rate_pct": 100.0
+    },
+    {
+      "exit_reason": "stop_loss",
+      "trades": 35,
+      "pnl": -32.89,
+      "wins": 1,
+      "win_rate_pct": 2.9
+    }
+  ]
+}

stockpilot/data/reports/wf_stop12_walkforward_20261020_110650.json

@@ -0,0 +1,91 @@
+{
+  "aggregate": {
+    "label": "wf_stop12",
+    "folds": 3,
+    "compounded_return_pct": 0.621,
+    "mean_fold_return_pct": 0.207,
+    "positive_folds": 2,
+    "trades": 356,
+    "win_rate_pct": 61.52,
+    "profit_factor": 2.12,
+    "worst_drawdown_pct": -0.16,
+    "initial_cash": 10000.0
+  },
+  "folds": [
+    {
+      "fold": 1,
+      "start": "2026-09-16T13:30:00+00:00",
+      "end": "2026-09-25T19:55:00+00:00",
+      "metrics": {
+        "initial_cash": 10000.0,
+        "final_equity": 10037.4,
+        "total_return_pct": 0.374,
+        "max_drawdown_pct": -0.16,
+        "sharpe_daily_annualized": 9.223,
+        "trades": 150,
+        "win_rate_pct": 66.0,
+        "profit_factor": 3.104,
+        "avg_trade_pnl": 0.9209,
+        "avg_win": 2.0586,
+        "avg_loss": -1.2876,
+        "gross_profit": 203.8,
+        "gross_loss": 65.67,
+        "exposure_pct": 55.61,
+        "bars": 624,
+        "days": 8
+      },
+      "report_path": "/Users/jeffreytse/Documents/New OpenCode Project/stockpilot/data/reports/wf_stop12_f1_20261020_105953.json",
+      "store_path": "/Users/jeffreytse/Documents/New OpenCode Project/stockpilot/data/backtests/wf_stop12_f1_20261020_105937.db"
+    },
+    {
+      "fold": 2,
+      "start": "2026-09-28T13:30:00+00:00",
+      "end": "2026-10-07T19:55:00+00:00",
+      "metrics": {
+        "initial_cash": 10000.0,
+        "final_equity": 10026.21,
+        "total_return_pct": 0.262,
+        "max_drawdown_pct": -0.069,
+        "sharpe_daily_annualized": 9.962,
+        "trades": 114,
+        "win_rate_pct": 60.53,
+        "profit_factor": 1.613,
+        "avg_trade_pnl": 0.2908,
+        "avg_win": 1.2644,
+        "avg_loss": -1.202,
+        "gross_profit": 87.24,
+        "gross_loss": 54.09,
+        "exposure_pct": 42.15,
+        "bars": 624,
+        "days": 8
+      },
+      "report_path": "/Users/jeffreytse/Documents/New OpenCode Project/stockpilot/data/reports/wf_stop12_f2_20261020_110322.json",
+      "store_path": "/Users/jeffreytse/Documents/New OpenCode Project/stockpilot/data/backtests/wf_stop12_f2_20261020_110259.db"
+    },
+    {
+      "fold": 3,
+      "start": "2026-10-08T13:30:00+00:00",
+      "end": "2026-10-19T20:00:00+00:00",
+      "metrics": {
+        "initial_cash": 10000.0,
+        "final_equity": 9998.36,
+        "total_return_pct": -0.016,
+        "max_drawdown_pct": -0.104,
+        "sharpe_daily_annualized": -3.035,
+        "trades": 92,
+        "win_rate_pct": 55.43,
+        "profit_factor": 1.008,
+        "avg_trade_pnl": 0.0029,
+        "avg_win": 0.6607,
+        "avg_loss": -0.8155,
+        "gross_profit": 33.7,
+        "gross_loss": 33.43,
+        "exposure_pct": 47.84,
+        "bars": 625,
+        "days": 8
+      },
+      "report_path": "/Users/jeffreytse/Documents/New OpenCode Project/stockpilot/data/reports/wf_stop12_f3_20261020_110650.json",
+      "store_path": "/Users/jeffreytse/Documents/New OpenCode Project/stockpilot/data/backtests/wf_stop12_f3_20261020_110630.db"
+    }
+  ]
+}

stockpilot/src/stockpilot/brokers/webull.py

@@ -9,6 +9,7 @@ create user-visible confusion, so a failure is surfaced instead.
 from __future__ import annotations
 
 import logging
+import sys
 from typing import Any
 
 from ..config import Settings
@@ -27,10 +28,7 @@ from .base import Broker, BrokerAuthError, BrokerRejected, BrokerUnavailable
 
 LOGGER = logging.getLogger(__name__)
 
-_ENDPOINTS = {
-    "production": "api.webull.hk",
-    "sandbox": "api.sandbox.webull.hk",
-}
+_SANDBOX_ENDPOINT = "api.sandbox.webull.com"
 _STATUS_MAP = {
     "PENDING": OrderStatus.PENDING,
     "SUBMITTED": OrderStatus.SUBMITTED,
@@ -81,7 +79,10 @@ class WebullBroker(Broker):
                 self.settings.webull_app_secret,
                 region,
             )
-            self._api_client.add_endpoint(region, _ENDPOINTS[self.settings.webull_env])
+            if self.settings.webull_env == "sandbox":
+                self._api_client.add_endpoint(region, _SANDBOX_ENDPOINT)
+            # Prevent the SDK from creating webull_trade_sdk.log in the CWD.
+            self._api_client.set_stream_logger(log_level=logging.WARNING, stream=sys.stderr)
             self._trade_client = TradeClient(self._api_client)
         if not self.account_id:
             payload = self._json(self._trade_client.account_v2.get_account_list())

stockpilot/src/stockpilot/doctor.py

@@ -2,11 +2,12 @@
 
 from __future__ import annotations
 
-from datetime import UTC, datetime, timedelta
+from datetime import UTC, datetime
 from typing import Any
 
 from .config import Settings
 from .domain import utcnow
+from .market.calendar import last_completed_session
 from .market.universe import Universe
 from .store import Store
 from .strategy.model import TurningPointModel
@@ -49,11 +50,13 @@ def run_doctor(settings: Settings, store: Store) -> dict[str, Any]:
     if symbols_with_bars == 0:
         add("bars", "fail", "no cached bars")
     else:
-        stale = latest is None or utcnow() - latest > timedelta(days=4)
+        expected = last_completed_session(utcnow())
+        stale = latest is None or latest.date() < expected
         add(
             "bars",
             "warn" if stale else "pass",
-            f"{total_bars} recent bars across {symbols_with_bars} symbols; latest={latest}",
+            f"{total_bars} bars across {symbols_with_bars} symbols; latest={latest} "
+            f"expected session={expected}",
         )
 
     if settings.model_path and settings.model_path.exists():

stockpilot/src/stockpilot/engine/analytics.py

@@ -21,9 +21,17 @@ def pair_trades(fills: list[dict[str, Any]]) -> list[dict[str, Any]]:
         price = float(fill["price"])
         fees = float(fill["fees"])
         ts = str(fill["ts"])
+        reason = str(fill.get("reason", ""))
         if str(fill["side"]).upper() == "BUY":
             held = open_positions.setdefault(
-                symbol, {"qty": 0.0, "avg": 0.0, "entry_ts": ts, "entry_fees": 0.0}
+                symbol,
+                {
+                    "qty": 0.0,
+                    "avg": 0.0,
+                    "entry_ts": ts,
+                    "entry_fees": 0.0,
+                    "entry_reason": reason,
+                },
             )
             total = held["qty"] + qty
             held["avg"] = (held["avg"] * held["qty"] + price * qty) / total
@@ -47,6 +55,8 @@ def pair_trades(fills: list[dict[str, Any]]) -> list[dict[str, Any]]:
                 "return_pct": round((price / position["avg"] - 1) * 100, 4)
                 if position["avg"]
                 else 0.0,
+                "entry_reason": position["entry_reason"],
+                "exit_reason": reason,
             }
         )
         position["qty"] -= qty
@@ -99,6 +109,7 @@ def performance(
         "gross_loss": round(gross_loss, 2),
         "days": int(daily.shape[0]),
         "per_symbol": per_symbol(trades),
+        "per_exit_reason": group_trades(trades, "exit_reason"),
     }
 
 
@@ -123,6 +134,29 @@ def per_symbol(trades: list[dict[str, Any]]) -> list[dict[str, Any]]:
     ]
 
 
+def group_trades(trades: list[dict[str, Any]], key: str) -> list[dict[str, Any]]:
+    if not trades:
+        return []
+    frame = pd.DataFrame(trades)
+    if key not in frame.columns:
+        return []
+    grouped = (
+        frame.groupby(key)
+        .agg(
+            trades=("pnl", "size"),
+            pnl=("pnl", "sum"),
+            wins=("pnl", lambda values: (values > 0).sum()),
+        )
+        .reset_index()
+    )
+    grouped["pnl"] = grouped["pnl"].round(2)
+    grouped["win_rate_pct"] = (100 * grouped["wins"] / grouped["trades"]).round(1)
+    return [
+        {str(k): v for k, v in record.items()}
+        for record in grouped.sort_values("pnl", ascending=False).to_dict("records")
+    ]
+
+
 def build_report(store: Store, initial_cash: float, days: int = 0) -> dict[str, Any]:
     fills = store.recent_fills(limit=10_000_000)
     equity = store.equity_series(limit=1_000_000)

stockpilot/src/stockpilot/engine/backtest.py

@@ -22,7 +22,7 @@ from ..store import Store
 from ..strategy.engine import SignalEngine
 from ..strategy.features import compute_features
 from ..strategy.model import TurningPointModel
-from .analytics import pair_trades
+from .analytics import group_trades, pair_trades
 
 LOGGER = logging.getLogger(__name__)
 
@@ -187,6 +187,7 @@ class Backtester:
             },
             "metrics": metrics,
             "per_symbol": _per_symbol(trades),
+            "per_exit_reason": group_trades(trades, "exit_reason"),
         }
         report_path = None
         if self.config.write_report:

stockpilot/src/stockpilot/engine/runner.py

@@ -97,6 +97,8 @@ class PaperRunner:
         self._features: dict[str, tuple[pd.Timestamp, pd.DataFrame]] = {}
         self._probs: dict[str, tuple[pd.Timestamp, tuple[float, float]]] = {}
         self._snapshots: dict[str, Quote] = {}
+        self._bars_cache: dict[str, pd.DataFrame] = {}
+        self._bars_cached_at: datetime | None = None
         self._interval_seconds = {"1m": 60, "5m": 300, "15m": 900, "1h": 3600}.get(
             settings.bar_interval, 300
         )
@@ -184,6 +186,12 @@ class PaperRunner:
 
     # ---------------------------------------------------------------- bars
     def _load_bars(self, now: datetime) -> dict[str, pd.DataFrame]:
+        if (
+            self._bars_cache
+            and self._bars_cached_at is not None
+            and (now - self._bars_cached_at).total_seconds() < self._interval_seconds
+        ):
+            return self._bars_cache
         try:
             frames = self.provider.get_bars_batch(
                 self.universe.symbols(), self.settings.bar_interval, limit=340
@@ -202,6 +210,9 @@ class PaperRunner:
                 frame = frame.iloc[:-1]
             if len(frame) >= 220:
                 out[symbol] = frame
+        if out:
+            self._bars_cache = out
+            self._bars_cached_at = now
         return out
 
     def _probabilities_for(self, symbol: str, feats: pd.DataFrame) -> tuple[float, float]:

stockpilot/src/stockpilot/market/calendar.py

@@ -77,6 +77,13 @@ def session_label(ts: datetime) -> str:
     return to_et(ts).date().isoformat()
 
 
+def last_completed_session(ts: datetime) -> date:
+    et = to_et(ts)
+    if is_session_day(et) and et.time() >= RTH_CLOSE:
+        return et.date()
+    return previous_session(et)
+
+
 def previous_session(day: date | datetime) -> date:
     target = _as_date(day)
     session = _CAL.date_to_session(pd.Timestamp(target), direction="previous")

stockpilot/src/stockpilot/store.py

@@ -338,7 +338,10 @@ class Store:
     def recent_fills(self, limit: int = 200) -> list[dict[str, Any]]:
         with self._lock:
             rows = self.db.execute(
-                "SELECT * FROM fills ORDER BY id DESC LIMIT ?", (limit,)
+                "SELECT f.*, COALESCE(o.reason, '') AS reason FROM fills f"
+                " LEFT JOIN orders o ON o.client_order_id = f.client_order_id"
+                " ORDER BY f.id DESC LIMIT ?",
+                (limit,),
             ).fetchall()
         return [dict(r) for r in rows]
 

stockpilot/tests/test_analytics.py

@@ -1,7 +1,7 @@
 from stockpilot.engine.analytics import pair_trades, performance
 
 
-def fill(ts, side, qty, price, fees=0.0):
+def fill(ts, side, qty, price, fees=0.0, reason=""):
     return {
         "ts": ts,
         "symbol": "AAPL",
@@ -9,21 +9,27 @@ def fill(ts, side, qty, price, fees=0.0):
         "qty": qty,
         "price": price,
         "fees": fees,
+        "reason": reason,
     }
 
 
 def test_pair_trades_handles_partial_exits():
     trades = pair_trades(
         [
-            fill("2026-10-20T13:30:00+00:00", "BUY", 2, 100),
-            fill("2026-10-20T13:35:00+00:00", "SELL", 1, 101, 0.01),
-            fill("2026-10-20T13:40:00+00:00", "SELL", 1, 99, 0.01),
+            fill("2026-10-20T13:30:00+00:00", "BUY", 2, 100, reason="model_entry"),
+            fill("2026-10-20T13:35:00+00:00", "SELL", 1, 101, 0.01, "model_exit"),
+            fill("2026-10-20T13:40:00+00:00", "SELL", 1, 99, 0.01, "stop_loss"),
         ]
     )
     assert len(trades) == 2
     assert trades[0]["qty"] == 1
     assert trades[0]["pnl"] == 0.99
     assert trades[1]["pnl"] == -1.01
+    assert trades[0]["entry_reason"] == "model_entry"
+    assert {trades[0]["exit_reason"], trades[1]["exit_reason"]} == {
+        "model_exit",
+        "stop_loss",
+    }
 
 
 def test_performance_metrics():

stockpilot/tests/test_calendar.py

@@ -11,3 +11,14 @@ def test_next_open_skips_weekend():
 def test_next_open_after_close_rolls_to_next_day():
     target = next_open(datetime(2026, 10, 19, 21, 0, tzinfo=UTC))
     assert target == datetime(2026, 10, 20, 13, 30, tzinfo=UTC)
+
+
+def test_last_completed_session_uses_previous_day_before_close():
+    from stockpilot.market.calendar import last_completed_session
+
+    assert last_completed_session(datetime(2026, 10, 20, 12, 0, tzinfo=UTC)) == datetime(
+        2026, 10, 19
+    ).date()
+    assert last_completed_session(datetime(2026, 10, 20, 21, 0, tzinfo=UTC)) == datetime(
+        2026, 10, 20
+    ).date()

stockpilot/tests/test_runner.py

@@ -0,0 +1,71 @@
+from __future__ import annotations
+
+from datetime import UTC, datetime, timedelta
+
+import pandas as pd
+
+from stockpilot.config import Settings
+from stockpilot.domain import Quote
+from stockpilot.engine.runner import PaperRunner
+from stockpilot.market.base import MarketDataProvider
+from stockpilot.market.universe import Instrument, Universe
+from stockpilot.store import Store
+
+
+class FakeProvider(MarketDataProvider):
+    name = "fake"
+
+    def __init__(self):
+        self.calls = 0
+
+    def get_bars(self, symbol, interval="5m", start=None, end=None, limit=None):
+        raise NotImplementedError
+
+    def get_bars_batch(self, symbols, interval="5m", start=None, end=None, limit=None):
+        self.calls += 1
+        index = pd.date_range(
+            end="2026-10-19 20:00", periods=340, freq="5min", tz="UTC"
+        )
+        frame = pd.DataFrame(
+            {
+                "open": 100.0,
+                "high": 101.0,
+                "low": 99.0,
+                "close": 100.5,
+                "volume": 1000.0,
+            },
+            index=index,
+        )
+        return {symbol: frame.copy() for symbol in symbols}
+
+    def get_snapshots(self, symbols):
+        return {
+            symbol: Quote(
+                symbol=symbol,
+                bid=100.0,
+                ask=100.1,
+                last=100.0,
+                ts=datetime(2026, 10, 19, 20, 0, tzinfo=UTC),
+                volume=1.0,
+                source="fake",
+            )
+            for symbol in symbols
+        }
+
+
+def test_runner_reuses_bars_within_interval(settings: Settings, store: Store):
+    provider = FakeProvider()
+    runner = PaperRunner(
+        settings,
+        store,
+        Universe([Instrument(symbol="AAPL"), Instrument(symbol="MSFT")]),
+        provider,
+    )
+    start = datetime(2026, 10, 20, 14, 0, tzinfo=UTC)
+    first = runner._load_bars(start)
+    second = runner._load_bars(start + timedelta(seconds=30))
+    assert set(first) == {"AAPL", "MSFT"}
+    assert provider.calls == 1
+    assert second is first
+    runner._load_bars(start + timedelta(seconds=301))
+    assert provider.calls == 2