cbazza
d3a426edf4
Update notebook and add telegram debug tools
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Changes:
- Notebook updated with latest telegram bot integration
- Trade performance data updated
- Added debug_telegram_bot.md - troubleshooting guide
- Added test_telegram_bot.py - standalone test bot
Note: Telegram Bot now working with fixes applied
2025-12-26 21:42:28 +01:00
cbazza
948211e711
Add telegram dependency installation cell to notebook
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Cell 27 now installs python-telegram-bot automatically
before the Telegram Bot Commander starts.
New cell structure:
- Cell 27: Dependency Installation (pip install)
- Cell 28: Telegram Bot Info (Markdown)
- Cell 29: Telegram Bot Commander (Start Bot)
- Cell 30: execute_trade Integration (Wrapper)
Instructions: Run Cell 27 first, then 29, then 30
2025-12-26 21:02:43 +01:00
cbazza
155ec1b524
Add Telegram Bot Commands - Remote Control Implementation
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Features:
- Remote control via Telegram commands
- /status - Bot status, positions, balance
- /pause - Pause trading (no new trades)
- /resume - Resume trading
- /close - Close all positions (emergency)
- /balance - Account balance & equity
- /stats - Performance statistics
- /help - Command help
Integration:
- Integrated into notebook (cells 27-29)
- Wrapped execute_trade_v2_adaptive with pause check
- Background service running parallel to bot
- MT5 integration for positions & balance
- Database integration for stats
Safety:
- Only authorized chat ID can send commands
- /close requires confirmation
- Instant pause/resume
Files:
- telegram_bot_commands.py - Main implementation
- setup_telegram_bot.py - Setup & installation
- TELEGRAM_BOT_COMMANDS_GUIDE.md - Complete documentation
- Notebook updated with 3 new cells (27-29)
Expected Impact: High - Full remote control from mobile phone
2025-12-26 19:50:12 +01:00
cbazza
95a112e238
Integrate session-specific confidence filter into notebook
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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
2025-12-26 17:51:33 +01:00
cbazza
90ec9c5948
Add missing position sizing documentation and notebook session filter import
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- POSITION_SIZING_UPDATE.md: Documentation from earlier commit
- Notebook: Added SESSION_WHITELIST_CONFIG import in Cell 9 for base_risk parameter
2025-12-26 12:44:54 +01:00
cbazza
d2c56a8636
Fix: Adaptive Position Sizing now uses base_risk from config
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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
2025-12-24 16:43:27 +01:00
cbazza
39cefd315c
Integrate Multi-TF Filter into Notebook
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- Cell 25: Info Markdown über neue Lösung
- Cell 26: Alter Filter deaktiviert (auskommentiert)
- Cell 27: Neuer Multi-TF Filter aktiviert
- Cell 28: Test-Cell zum Verifizieren
Ready to run!
2025-12-20 19:16:14 +01:00
cbazza
f3041dbb01
Update: sync latest notebook and add December 2025 trade performance data
Deploy to Windows VPS / deploy (push) Has been cancelled
2025-12-20 18:21:15 +01:00
cbazza
cbd6584db5
all changes done over the last 2 weeks
2025-12-16 22:02:15 +01:00
cbazza and Claude
596718e30b
feat: Trading Bot V1.8 - Aggressive Mode + Infrastructure
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## Major Features
- Session Filter: NY-only trading (13:00-21:00 UTC)
- SQLite Database: Structured trade logging
- Telegram Bot: Real-time notifications (@Xausd_digger_bot)
- Streamlit Dashboard: Visual monitoring & analytics
- JSON Import: Historical data migration
## Infrastructure
- trading_database.py: SQLite trade storage
- telegram_notifier.py: Telegram integration
- infrastructure_patch.py: Combined DB + Telegram
- trading_dashboard.py: Real-time web dashboard
- import_json_to_db.py: JSON to SQLite migration
## Session Filter (V1.8 Aggressive Mode)
- session_filter_patch.py: Whitelist-based filter
- Blocks: Asian, London, Overlap sessions
- Active: NY session only (best performance: 47.6% WR)
- Base confidence: 60%
## Documentation
- V1.8_AGGRESSIVE_MODE_AKTIVIERT.md
- FIX_DUPLICATE_SCHEDULER.md
- DASHBOARD_WINDOWS_SERVER.md
- SQLITE_TELEGRAM_SETUP.md
- PROJECT_CLEANUP.md
## Cleanup
- Archived old V1.1-V1.7 versions
- Removed obsolete analysis scripts (replaced by dashboard)
- Added .gitignore for secrets and temp files
## Breaking Changes
- Requires telegram_config.json (use template)
- Requires Python packages: streamlit, plotly
🤖 Generated with [Claude Code](https://claude.com/claude-code )
Co-Authored-By: Claude <noreply@anthropic.com >
2025-11-26 21:14:01 +01:00
cbazza
