fix(v0.2.8): trajectory override now recovery-based (critical fix)
Trade #162698852 predicted +$4.54 recovery (80% conf) but override failed. Bug: checked pred_1m > 0 (absolute) instead of recovery amount. Fix: - Recovery-based: recovery_amount = pred_1m - current_profit - Override if recovery >$3 OR near-breakeven (pred >-$2) - Relaxed accel threshold: 0.01 → 0.005 - User requirement: "profit kecil dengan interval lama OK" ✅ Impact: Same scenario now triggers override, holds 5-15 min for recovery. Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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@@ -9,6 +9,68 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
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---
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## [0.2.8] - 2026-02-11
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### Fixed (Critical: Trajectory Override Logic Bug)
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**Problem:** Trade #162698852 lost -$5.81 despite trajectory predicting recovery from -$5.81 → -$1.27 (recovery +$4.54, conf 80%). Trajectory override did NOT trigger because condition checked `pred_1m > 0` (absolute profit) instead of RECOVERY AMOUNT.
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#### Bug in v0.2.7
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```python
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# OLD (WRONG):
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if pred_1m > 0 AND confidence > 75% AND accel > 0.01:
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→ OVERRIDE
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# Trade #162698852 at exit:
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# - current_profit = -$5.81
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# - pred_1m = -$1.27 (NEGATIVE) ❌
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# - accel = +0.009913 (< 0.01) ❌
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# Result: Override FAILED, exit at -$5.81
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```
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#### Root Cause
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**Trajectory override condition was TOO STRICT:**
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1. Required absolute profit (pred > 0), but market volatility means pred can be slightly negative even when recovering
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2. Ignored RECOVERY DIRECTION — trade predicted to improve from -$5.81 → -$1.27 = **+$4.54 recovery!**
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3. Acceleration threshold 0.01 too high (0.009913 failed by 0.0001)
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#### Fix: Recovery-Based Override
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```python
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# NEW (CORRECT):
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recovery_amount = pred_1m - current_profit
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significant_recovery = recovery_amount > 3.0 # Predict >$3 improvement
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near_breakeven = pred_1m > -2.0 # Or predict small loss only
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strong_confidence = confidence > 0.75
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positive_momentum = accel > 0.005 # Relaxed from 0.01
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if (significant_recovery OR near_breakeven) AND strong_confidence AND positive_momentum:
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→ OVERRIDE
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# Trade #162698852 with fix:
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# - recovery_amount = -$1.27 - (-$5.81) = +$4.54 ✅ (>$3)
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# - confidence = 80% ✅
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# - accel = +0.009913 ✅ (>0.005)
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# Result: Override TRIGGERED, hold for recovery
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```
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#### Changes
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1. **Golden Emergency Override:** Check recovery amount instead of absolute profit
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2. **Trajectory Hold Logic:** Same recovery-based check
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3. **Relaxed thresholds:**
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- Acceleration: 0.01 → 0.005 (more sensitive)
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- Accept near-breakeven: pred > -$2 (small loss OK if recovering)
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#### Impact
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- v0.2.7: Trade #162698852 exit at -$5.81 (no override)
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- v0.2.8: Same scenario would OVERRIDE → hold 5-10 min → potential recovery to profit or small loss
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- User requirement: "recovery meskipun profit kecil dengan interval lama tidak apa" — NOW IMPLEMENTED
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#### Code Cleanup
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- Searched for dead code (if False, DEPRECATED, etc.) — none found
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- Imports optimized
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- No unused functions detected
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---
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## [0.2.7] - 2026-02-11
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### Added (Trajectory Recovery System for Golden Session)
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@@ -1309,15 +1309,17 @@ class SmartRiskManager:
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pred_1m = predictions.get('pred_1m', 0)
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logger.info(f"[TRAJ-OUT] pred_1m=${pred_1m:.2f} | conf={predictions['confidence']:.0%}")
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# v0.2.6f: Hybrid trajectory hold logic
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# v0.2.7f: Hybrid trajectory hold logic (recovery-based)
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# - Ever-profitable: always allow hold (existing behavior)
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# - Never-profitable + Golden + strong signal: allow hold (NEW)
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# - Never-profitable + Golden + recovery signal: allow hold (NEW)
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# - Never-profitable + normal session: skip hold (existing behavior)
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pred_1m = predictions.get('pred_1m', 0)
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recovery_amount = pred_1m - current_profit
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can_hold_never_prof = (
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is_golden
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and predictions.get('pred_1m', 0) > 0
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and (recovery_amount > 3.0 or pred_1m > -2.0) # Recovery or near-breakeven
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and predictions.get('confidence', 0) > 0.75
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and _accel > 0.01 # positive acceleration
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and _accel > 0.005 # Relaxed threshold
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)
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if should_hold and (guard.ever_profitable or can_hold_never_prof):
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@@ -1575,18 +1577,32 @@ class SmartRiskManager:
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if (is_golden and not guard.ever_profitable
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and current_profit < -5.0 and trade_age_seconds >= 60):
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# v0.2.6f: Check if trajectory predicts strong recovery
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# v0.2.7f: Check if trajectory predicts RECOVERY (not just profit)
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# Key insight: recovery = pred_1m - current_profit
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# Example: current=-$5.81, pred=-$1.27 → recovery=+$4.54 (GOOD!)
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strong_recovery_signal = False
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if self.trajectory_predictor and predictions:
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pred_1m = predictions.get('pred_1m', current_profit)
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pred_conf = predictions.get('pred_1m_conf', 0)
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# Strong recovery: pred > 0, conf > 75%, positive acceleration
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if pred_1m > 0 and pred_conf > 0.75 and _accel > 0.01:
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# Calculate recovery amount (how much profit will improve)
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recovery_amount = pred_1m - current_profit
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# Recovery conditions (ANY of these = override):
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# 1. Significant recovery: predict >$3 improvement
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# 2. Near-breakeven: predict loss <$2 (small loss acceptable)
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significant_recovery = recovery_amount > 3.0
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near_breakeven = pred_1m > -2.0
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strong_confidence = pred_conf > 0.75
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positive_momentum = _accel > 0.005 # Relaxed from 0.01
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if (significant_recovery or near_breakeven) and strong_confidence and positive_momentum:
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strong_recovery_signal = True
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recovery_type = "significant recovery" if significant_recovery else "near-breakeven"
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logger.info(
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f"[GOLDEN EMERGENCY OVERRIDE] Trajectory predicts recovery: "
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f"pred_1m=${pred_1m:.2f} conf={pred_conf:.0%} accel={_accel:.4f} — holding"
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f"[GOLDEN EMERGENCY OVERRIDE] Trajectory predicts {recovery_type}: "
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f"current=${current_profit:.2f} → pred=${pred_1m:.2f} "
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f"(recovery=${recovery_amount:+.2f}, conf={pred_conf:.0%}, accel={_accel:.4f}) — holding"
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)
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if not strong_recovery_signal:
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