PDT protection
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# Quant-Rust-Strategist Memory
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## Architecture Overview
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- 50-symbol universe across 9 sectors
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- Hybrid momentum + mean-reversion via composite signal scoring in `generate_signal()`
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- Backtester restricts buys to top 8 momentum stocks (TOP_MOMENTUM_COUNT=8)
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- Signal thresholds: StrongBuy>=6.0, Buy>=4.5, Sell<=-3.5, StrongSell<=-6.0
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- ~100-symbol universe across 14 sectors (expanded from original 50)
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- Hybrid momentum + mean-reversion via regime-adaptive dual signal in `generate_signal()`
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- strategy.rs: shared logic between bot.rs and backtester.rs
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- Backtester restricts buys to top 10 momentum stocks (TOP_MOMENTUM_COUNT=10)
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- Signal thresholds: StrongBuy>=7.0, Buy>=4.5, Sell<=-4.0, StrongSell<=-7.0
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## Key Finding: Daily vs Hourly Parameter Sensitivity (2026-02-11)
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## PDT Implementation (2026-02-12)
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- Tracks day trades in rolling 5-business-day window, max 3 allowed
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- CRITICAL: Stop-loss exits must NEVER be blocked by PDT (risk mgmt > compliance)
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- Late-day entry prevention: On hourly, block buys after 19:00 UTC (~last 2 hours)
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- Prevents entries needing same-day stop-loss exits
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- Reduced hourly trades 100->86, improved PF 1.24->1.59
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- "PDT performance degradation" was mostly IEX data stochasticity, not actual PDT blocking
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### Daily Timeframe Optimization (Successful)
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- Reduced momentum_period 252->63, ema_trend 200->50 in IndicatorParams::daily()
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- Reduced warmup from 267 bars to ~70 bars
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- Result: Sharpe 0.53->0.86 (+62%), Win rate 40%->50%, PF 1.32->1.52
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### Hourly Timeframe: DO NOT CHANGE FROM BASELINE
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- Hourly IndicatorParams: momentum=63, ema_trend=200 (long lookbacks filter IEX noise)
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- Shorter periods (momentum=21, ema_trend=50): CATASTROPHIC -8% loss
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- ADX threshold lowered 25->20 (shared const, helps both timeframes)
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### Failed Experiments (avoid repeating)
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1. Tighter ATR stop (2.0x): too many stop-outs on hourly. Keep 2.5x
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2. Lower buy threshold (3.5): too many weak entries. Keep 4.5
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3. More positions (8): spreads capital too thin. Keep 5
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4. Higher risk per trade (1.0-1.2%): compounds losses. Keep 0.8%
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5. Wider trail (2.5x ATR): misses profit on hourly. Keep 1.5x
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6. Lower volume threshold (0.7): bad trades on IEX. Keep 0.8
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7. Lower cash reserve (3%): marginal, not worth risk. Keep 5%
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## Backtest Results (3-month, 2026-02-12, post-PDT-fix)
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### Hourly: +12.00%, Sharpe 0.12, PF 1.59, 52% WR, 86 trades, MaxDD -9.36%
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### Daily: +11.68%, Sharpe 2.65, PF 3.07, 61% WR, 18 trades, MaxDD -5.36%
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## Current Parameters (config.rs)
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- ATR Stop: 2.5x | Trail: 1.5x distance, 1.5x activation
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- Risk: 0.8%/trade, max 22% position, 5% cash reserve, 4% max loss
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- Max 5 positions, 2/sector | Drawdown halt: 10% (35 bars) | Time exit: 30
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- Cooldown: 7 bars | Ramp-up: 30 bars | Slippage: 10bps
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- Daily params: momentum=63, ema_trend=50
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- Hourly params: momentum=63, ema_trend=200
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- ADX: threshold=20, strong=35
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- ATR Stop: 3.0x | Trail: 2.0x distance, 2.0x activation
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- Risk: 1.2%/trade, max 25% position, 5% cash reserve, 5% max loss
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- Max 7 positions, 2/sector | Drawdown halt: 12% (20 bars) | Time exit: 40
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- Cooldown: 5 bars | Ramp-up: 15 bars | Slippage: 10bps
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- Daily: momentum=63, ema_trend=50 | Hourly: momentum=63, ema_trend=200
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- ADX: range<20, trend>25, strong>40
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## Hourly Timeframe: DO NOT CHANGE FROM BASELINE
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- Hourly IndicatorParams: momentum=63, ema_trend=200 (long lookbacks filter IEX noise)
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- Shorter periods (momentum=21, ema_trend=50): CATASTROPHIC -8% loss
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## Failed Experiments (avoid repeating)
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1. Tighter ATR stop (<3.0x): too many stop-outs on hourly
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2. Lower buy threshold (3.5): too many weak entries. Keep 4.5
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3. Blocking stop-loss exits for PDT: traps capital in losers, dangerous
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4. Lower volume threshold (0.7): bad trades on IEX. Keep 0.8
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5. Shorter hourly lookbacks: catastrophic losses
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## IEX Data Stochasticity
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- Backtests have significant run-to-run variation from IEX data timing
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- Do NOT panic about minor performance swings between runs
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- Always run 2-3 times and compare ranges before concluding a change helped/hurt
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## Build Notes
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- `cargo build --release` compiles clean (only dead_code warnings)
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- No tests exist
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- Backtests have stochastic variation from IEX data timing
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