Added comprehensive documentation:
- BOT_ANALYSIS_2026-01-10.md: Trading gap analysis (07-11 Jan)
- PERFORMANCE_REPORT_JAN_2026.md: Full performance metrics
- debug_bot_status.py: Debug script for bot status checks
Performance highlights:
- 74 trade signals over 5 days
- 92.90% average confidence
- 56.7% trades with ≥95% confidence
- News Filter successfully blocked NFP event
Analysis findings:
- Bot working correctly since 12.01
- Trading gap 08-11 Jan explained (NFP + weekend)
- Lot size increased to 0.10
Updated files:
- Notebook with latest trading state
- Performance JSON with new trades (12-13 Jan)
🤖 Generated with Claude Code
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
Fixed all volume assignments in Cell 25:
- Line 106: min/max calculation (0.01→0.10, 0.1→0.2)
- Line 108: fallback volume (0.05→0.10)
- Line 110: default volume (0.05→0.10)
Previous commit only changed one location, bot kept using 0.01.
Now ALL volume settings use 0.10 as minimum.
Impact:
- 10x profit/loss per trade
- Pip value: $1.00 (was $0.10)
- Risk: ~2.9% per trade with 20 pip SL
🤖 Generated with Claude Code
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
Changes:
- Min Lot: 0.01 → 0.05 (5x increase)
- Max Lot: 0.10 → 0.20 (2x increase)
Impact:
- Higher profit potential per trade
- More aggressive position sizing
- Risk still controlled by percentage
Cell 25 updated with new volume = 0.05
🤖 Generated with Claude Code
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
- Notebook auto-updates during execution
- All changes synchronized
🤖 Generated with Claude Code
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
- Notebook updated after opening/execution
- News Filter cells 31-32 in place
- Ready for production use
🤖 Generated with Claude Code
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
Added 2 new cells (25-26):
- Cell 25: Info markdown explaining the optimization
- Cell 26: Session confidence filter wrapper code
Changes:
- Wraps execute_trade_v2_adaptive with session-specific thresholds
- Asian: >=95% Confidence (unchanged, 97.8% WR)
- NY: >=97% Confidence (improves WR from 43.3% to 56.5%)
- Expected improvement: +$292/month, +3.2pp win-rate
Implementation:
- Auto-detects and wraps original function
- Preserves original in _original_execute_trade_v2_adaptive
- Clear console output showing active thresholds
- Ready to use immediately after kernel restart
Next step: Kernel -> Restart & Run All
PROBLEM:
- AdaptivePositionSizer was created with default base_risk=0.01 (1%)
- Did NOT use the 2% value from SESSION_WHITELIST_CONFIG
- Result: Position sizes still only 0.01 lot
SOLUTION:
- Added base_risk parameter to AdvancedPositionManager.__init__()
- Updated notebook Cell 9 to pass SESSION_WHITELIST_CONFIG['max_risk_per_trade']
- Now correctly uses 2% base risk for adaptive sizing
EXPECTED RESULT:
- High Confidence (≥80%): 2% × 1.5 = 3% → ~0.03 Lot
- Medium Confidence (≥70%): 2% × 1.0 = 2% → ~0.02 Lot
- Low Confidence (<70%): 2% × 0.5 = 1% → ~0.01 Lot
FILES CHANGED:
- advanced_position_management.py: Added base_risk parameter
- TradingBot_V1.6_Adaptive_Complete_CORRECTED.ipynb: Pass config value to manager
cbazzaandClaude Sonnet 4.5