Fix Training System: Remove Fallbacks, Add Standalone Trainers, Improve GUI Controls#21
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…ve GUI controls - Fixed Train All functionality that was flickering and auto-reverting - Removed KuCoin and other exchange fallback dependencies - Created standalone pt_trainer.py that performs actual neural network training - Added 2x2 training button grid: Train Selected/Stop Selected, Train All/Stop All - Fixed multi-exchange system to use Binance public API for data provider - Disabled auto-start behavior that was triggering training on startup - Updated exchange status display to show 'No exchange configured' by default - Added comprehensive debug logging and process monitoring - Extended training duration to 45 seconds to maintain GUI status - Fixed Python path issues for trainers running from coin subfolders - Synchronized trainer files across BTC, ETH, XRP, BNB, DOGE directories Resolves: Training GUI flickering, auto-start issues, exchange fallback errors
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Overview
This PR addresses critical issues with the training system including GUI flickering, auto-reverting behavior, and unwanted exchange fallback dependencies.
Key Changes
Core Training System Fixes
pt_trainer.pythat performs actual neural network training (20 epochs, 45 seconds)Fallback System Removal
pt_data_provider.pyto use only the multi-exchange systemEnhanced GUI Controls
Debug & Monitoring
File Structure Improvements
pt_trainer.pyto all coin subdirectories (BTC, ETH, XRP, BNB, DOGE)pt_trainer_standalone.pyfiles for each coinFiles Modified
pt_data_provider.py- Removed fallback system completelypt_hub.py- Enhanced GUI with 2x2 button grid and debug loggingpt_trainer.py- Replaced with standalone trainer implementationpt_multi_exchange.py- Added public access supportpt_exchange_abstraction.py- Modified ExchangeFactory for public APIpt_exchanges.py- Made API credentials optionaltrading_config.json- Enabled Binance for public data accessTesting Results
Breaking Changes
Migration Notes