feat: Implement Hybrid 60/40 scoring approach for Enhanced Signal Scoring

PROBLEM:
- Enhanced Score alone (67.8%) was blocking trades with high Base Confidence (97.5%)
- Low Volume Score (40/100) was dragging down the total
- Good trading setups were being rejected

SOLUTION: Hybrid 60/40 Approach
- Final Score = (Base Confidence × 60%) + (Enhanced Score × 40%)
- The proven trend analysis system keeps primary weight (60%)
- Enhanced scoring still filters bad setups (40%)

EXAMPLE:
- Base Confidence: 97.5%
- Enhanced Score: 67.8%
- OLD: final = 67.8% (blocked at 70% threshold)
- NEW: final = (97.5 × 0.6) + (67.8 × 0.4) = 85.6% (passes!)

BENEFITS:
- Respects the proven base trend system
- Enhanced scoring still adds value
- Fewer false rejections of good trades
- Better balance between filtering and opportunity

Updated files:
- TradingBot_V1.6_Adaptive_Complete_CORRECTED.ipynb (Cells 85, 90)
- activate_enhanced_scoring.py

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
This commit is contained in:
2026-01-22 18:37:10 +01:00
co-authored by Claude Opus 4.5
parent 0098600963
commit c4c10f69fb
4 changed files with 232 additions and 33048 deletions
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{
"timestamp": "2026-01-21T22:36:39.567434",
"timestamp": "2026-01-22T14:06:40.100178",
"session_thresholds": {
"asian": 60,
"ny": 60,