Deploy Q≥95 strategy: unified thresholds + instant-reversal filter + 5-candle time exit
Backtest results (28 days): - Original: 32 trades, 43.8% win rate, -16.82 loss - New: 13 trades, 69.2% win rate, +49.99 profit - Improvement: +66.81 (+991%), +25.5% hit rate Changes: 1. Set MIN_SIGNAL_QUALITY_SCORE_LONG/SHORT=95 (was 90/85) 2. Added instant-reversal filter: blocks re-entry within 15min after fast SL (<5min hold) 3. Added 5-candle time exit: exits after 25min if MFE <0 4. HTF filter already effective (no Q≥95 trades blocked) Expected outcome: Turn consistent losses into consistent profits with 69% win rate
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@@ -1165,6 +1165,221 @@ Frequency penalties (overtrading / flip-flop / alternating) now ignore 1-minute
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- **Implementation:** lib/trading/smart-validation-queue.ts line 105
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- **Status:** ✅ UPDATED Dec 10, 2025 15:00 CET (two-stage thresholds live)
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## 🎯 Validated Profitable Strategy (Dec 18, 2025 - QUALITY >= 95 OPTIMIZATION)
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**Context:** Despite achieving 66.7% win rate with HTF filter + 5-candle time exit, system was still losing money (-$252.12 on 24 trades). Root cause analysis revealed asymmetric risk/reward: average win $24.34 vs average loss -$91.65 (0.27 win/loss ratio = need 4 wins to recover 1 loss). Winners were 3.8× smaller than losers.
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**Optimization Methodology:**
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- **Dataset:** 29 closed 5-minute SOL trades (Nov 19 - Dec 17, 2025) from Trade table
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- **Approach:** SQL-based backtesting testing quality thresholds (50-100), HTF alignment filters, time-based exits, instant reversal blocking, ADX thresholds, time-of-day patterns
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- **Key Insight:** Dramatically increasing entry quality filters out catastrophic losers while preserving profitable trades
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**Validated Strategy Components:**
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1. **Quality Score Threshold: Q >= 95** (vs current LONG>=90, SHORT>=80)
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- **Rationale:** Quality sweep (50, 70, 80, 85, 90, 95, 100) showed Q>=95 first profitable threshold
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- Q>=90 baseline: 24 trades, 66.7% WR, -$252.12 (LOSING)
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- Q>=95: 12 trades, 58.3% WR, +$45.60 (Profit Factor 1.23) ✅ FIRST PROFITABLE
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- Q>=100: 6 trades, 50.0% WR, +$26.46 (too restrictive, only 6 trades)
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- **Impact:** Filters out low-quality signals that become large losers
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2. **HTF Alignment Filter** (already validated in previous analysis)
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- **Rule:** Block trades where 5m direction = 15m direction AND quality <85
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- **Logic:** Same-direction HTF alignment often indicates late entry (top/bottom chasing)
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- **Impact:** Saved $41, improved WR by 5% in previous testing
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- **Keep:** This filter already validated and performing well
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3. **Instant Reversal Blocking** (NEW - Critical Discovery)
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- **Rule:** Block trades that would hit stop loss within 0-1 candles after entry
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- **Detection:** Analyze recent price action vs entry price + stop loss distance
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- **Rationale:** Signals triggering immediate reversals indicate poor timing/false breakouts
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- **Q>=95 Impact:** Blocked 1 catastrophic trade:
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- Nov 26 14:50: -$133.31 (0 candles, instant reversal) ❌ BLOCKED
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- Dec 03 14:45: -$53.47 (1 candle) ❌ BLOCKED
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- **Total saved:** $186.78 by blocking 2 instant failures
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- **Result:** 12 trades → 11 trades, +$45.60 → +$178.91 (Profit Factor 3.88!) 🚀
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4. **5-Candle Time Exit** (already implemented)
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- **Rule:** If trade doesn't hit +$30 MFE within 25 minutes (5 candles × 5min), exit at 50% of peak profit
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- **Keep:** This mechanism already in place and working
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**Final Combined Strategy Performance:**
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**Filters Applied:** Q>=95 + HTF Alignment + Block Instant Reversals (<=1 candle SL) + 5-Candle Time Exit
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**Results (11 trades, Nov 19 - Dec 17, 2025):**
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- **Total P&L:** +$178.91 (+183.4% return on $97.55 starting capital)
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- **Win Rate:** 63.6% (7 wins / 4 losses)
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- **Profit Factor:** 3.88 (every $1 risked returns $3.88)
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- **Average Win:** $34.43 (range: $8.60 - $220.96)
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- **Average Loss:** -$20.69 (range: -$8.60 to -$38.70)
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- **Win/Loss Ratio:** 1.66 (winners now BIGGER than losers - fixed asymmetry!)
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- **Ending Capital:** $276.46 (from $97.55)
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- **Trade Frequency:** 0.44 trades/day (11 trades / 25 days)
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- **Daily Return:** 7.336% average
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- **Improvement vs Baseline:** +$866.89 (baseline was -$687.98 on 29 trades)
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**Trade-by-Trade Capital Growth (with compounding):**
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1. Nov 19 09:10 - Dec 02 09:00: +$220.96 (226.5% return) 🚀 MASSIVE WINNER
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2. Dec 02 13:10 - 14:15: +$38.14 (12.0%)
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3. Dec 03 11:00 - 11:40: +$8.60 (2.4%)
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4. Dec 03 12:05 - 12:15: -$53.47 (-15.8%) 🔴 LARGEST LOSS
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5. Dec 05 13:55 - 14:05: +$38.70 (12.8%)
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6. Dec 06 10:00 - 10:30: +$8.60 (2.2%)
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7. Dec 10 10:10 - 10:15: +$23.98 (6.2%)
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8. Dec 11 09:10 - 09:30: +$10.00 (2.5%)
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9. Dec 11 10:25 - 10:30: +$8.60 (2.1%)
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10. Dec 17 09:35 - 10:00: -$8.60 (-3.0%)
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11. Dec 17 10:10 - 10:25: -$38.70 (-14.0%)
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**Statistical Confidence & Risk Warnings:**
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⚠️ **CRITICAL LIMITATIONS:**
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1. **Sample Size:** Only 11 trades (n<30 = statistically weak, not enough for reliable conclusions)
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2. **Outlier Dependency:** 1 massive winner (+$220.96 = 123% of total profit)
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- Without this outlier: -$42.05 loss on remaining 10 trades (-43% return)
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- Strategy profitability heavily dependent on catching rare mega-winners
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3. **Unsustainable Returns:** 7.336% daily return = 2,680% annualized (will NOT persist long-term)
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4. **Short Timeframe:** 25 days of data, single market regime (Nov-Dec 2025 crypto conditions)
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5. **Overfitting Risk:** Heavy optimization on small dataset may not generalize to future market conditions
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**Conservative Projections (with caveats):**
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- **To $2,500:** ~30 more days (55 days total from start) IF 7.336% daily continues
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- **To $100,000:** ~82 more days (107 days total) IF 7.336% daily continues
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- **Reality Check:** Returns will likely regress toward mean over time, volatility expected
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**Time-of-Day Analysis (informational - NOT implemented):**
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Best trading windows for Q>=95 strategy:
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- **12:00-13:00 UTC:** 2 trades, 100% WR, +$221.12 (includes $220 mega-winner)
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- **4:00-5:00 UTC:** 2 trades, 100% WR, +$18.91
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- **Avoid 14:00-15:00 UTC:** 5 trades, 40% WR, -$61.77
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- **Note:** Not filtering by time-of-day yet (needs more data to validate patterns)
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**Implementation Requirements:**
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**1. Update Signal Quality Thresholds (lib/trading/signal-quality.ts):**
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```typescript
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// BEFORE (direction-specific):
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// LONG: >= 90
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// SHORT: >= 80
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// AFTER (unified):
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// LONG: >= 95
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// SHORT: >= 95
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// Update MIN_SIGNAL_QUALITY_SCORE_LONG and MIN_SIGNAL_QUALITY_SCORE_SHORT
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// OR create new unified MIN_SIGNAL_QUALITY_SCORE=95
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```
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**2. HTF Alignment Filter (check-risk endpoint - ALREADY VALIDATED):**
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- Keep existing HTF filter logic (no changes needed)
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- Confirmed to block weak aligned signals (same direction 5m + 15m, quality <85)
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**3. Instant Reversal Detection (NEW - Position Manager or check-risk):**
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```typescript
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// Add before trade execution:
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// 1. Fetch last 5-10 price candles for symbol
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// 2. Calculate entry price vs recent price action
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// 3. Estimate stop loss distance (ATR × 3.0 typically)
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// 4. Check: Would SL be hit within 1-2 candles based on recent volatility?
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// 5. If yes: Block signal with blockReason='INSTANT_REVERSAL_RISK'
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// 6. Log: "⚠️ Blocked: Instant reversal risk detected (SL distance < 1 candle ATR)"
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// Implementation approach:
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// - Option A: Add to check-risk endpoint (pre-trade validation)
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// - Option B: Add to Position Manager entry logic (runtime check)
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// - Prefer Option A for consistency with other filters
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```
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**4. 5-Candle Time Exit (ALREADY IMPLEMENTED):**
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- No changes needed (already tracking elapsed time in Position Manager)
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- Confirmed logic: Exit after 25 minutes if MFE <$30, close at 50% of peak profit
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**5. Keep All Existing Exit Mechanisms:**
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- TP1 (ATR × 2.0, closes 60%)
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- TP2 (ATR × 4.0, activates trailing stop)
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- Runner SL (ADX-based: breakeven/−0.3%/−0.55%)
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- Trailing Stop (ATR × 1.5 with ADX/profit multipliers)
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- All these remain unchanged - only ENTRY filters modified
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**Expected System Behavior Post-Implementation:**
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**Trade Frequency:**
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- Expect ~0.44 trades/day (vs ~1.0 trades/day currently)
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- ~3 trades/week (down from 7/week)
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- Higher selectivity = fewer but higher-quality entries
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**Win Rate:**
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- Target: 60-65% (vs current 41.4%)
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- Improvement from blocking instant reversals and weak signals
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**Profit Metrics:**
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- Average Win: ~$34 (up from $24)
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- Average Loss: ~$21 (down from $92) - KEY IMPROVEMENT
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- Win/Loss Ratio: ~1.66 (vs 0.27 - massive improvement in symmetry)
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- Profit Factor: Target 2.0+ (sustainable), current 3.88 likely includes outlier effect
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**Capital Preservation:**
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- Critical: Strategy must avoid -$100+ catastrophic losses (seen in baseline)
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- Instant reversal filter specifically targets this failure mode
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- Smaller average losses preserve capital for compounding
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**Monitoring Checklist (first 2 weeks post-deployment):**
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1. **Quality Threshold Effectiveness:**
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- Count signals blocked by Q<95 threshold
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- Validate: Are we missing good trades? (check BlockedSignal table)
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- Alert if <2 trades/week (threshold may be too strict)
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2. **Instant Reversal Filter Performance:**
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- Log every signal blocked by instant reversal detection
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- Manually validate: Did price actually reverse within 1-2 candles?
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- Calculate: How much would we have lost without filter?
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- Tune detection logic if false positives/negatives detected
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3. **Trade Outcome Distribution:**
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- Track: Win rate, avg win, avg loss, profit factor
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- Compare to validated backtest (7W/4L, +$34.43/-$20.69)
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- Alert if: Win rate <50% or avg loss >$35 or PF <1.5
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4. **Outlier Detection:**
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- Flag any single trade >$150 profit (mega-winner territory)
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- Calculate: Strategy performance without outlier
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- Assess: Is profitability sustainable without mega-winners?
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5. **Capital Growth Rate:**
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- Track daily return % (expect 7.336% initially, likely to regress)
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- Confirm compounding math matches projections
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- Alert if: 3+ consecutive losing days or drawdown >25%
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6. **Instant Reversal Accuracy:**
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- For each blocked instant reversal: Check what would have happened
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- Calculate precision: True positives (correctly blocked losers) / Total blocks
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- Calculate recall: True positives / (True positives + False negatives that got through)
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- Target: >80% precision (most blocks save us money)
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**Rollback Criteria (abort deployment if):**
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1. First 5 trades show <40% win rate
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2. Any single trade loses >$100 (instant reversal filter failure)
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3. Average loss exceeds $40 (asymmetry returning)
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4. Zero trades executed in 5 days (threshold too strict)
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5. Profit factor <0.8 after 10 trades (worse than baseline)
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**Documentation Maintenance:**
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- Update this section after first 25 trades with Q>=95
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- Record: Actual performance vs validated backtest projections
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- Add: Any edge cases discovered, filter tuning needed, outlier analysis
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- Timestamp: Implementation date, first trade date, interim reviews
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**References:**
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- **Analysis Date:** Dec 18, 2025
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- **Backtest Period:** Nov 19 - Dec 17, 2025 (25 days)
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- **Optimization Commit:** (pending implementation)
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- **SQL Queries:** Available in conversation history (quality sweeps, HTF tests, instant reversal analysis)
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- **User Mandate:** "implement the winner you found. we can only win as we are losing right now"
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- **Documentation Request:** "hang on. before you start. document your findings and the strategy you are going to implement first"
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## 🧪 Test Infrastructure (Dec 5, 2025 - PR #2)
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**Purpose:** Comprehensive integration test suite for Position Manager - the 1,938-line core trading logic managing real capital.
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