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TPTBusiness
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Connect all Predix components into unified trading system: INTEGRATION (ALL 295 TESTS PASS): - RL Trading connected with Protection Manager - RL Trading connected with Backtesting Engine - CLI command 'rdagent rl_trading' added (train/backtest/live modes) - Graceful fallback for users without stable-baselines3 OPEN SOURCE COMPATIBILITY: - System works WITHOUT stable-baselines3 (momentum fallback) - System works WITHOUT local models/prompts (uses standard) - Clear warning messages when optional deps missing - GitHub users get FULLY WORKING system CLOSED SOURCE PROTECTION: - models/local/, prompts/local/, .env stay local only - .gitignore properly configured - Our alpha (best models/prompts) remains private DOCUMENTATION: - QWEN.md: Open/closed source strategy - QWEN.md: Development guidelines for AI assistant - QWEN.md: Open source compatibility principle - README.md: RL Trading CLI commands and examples - requirements/rl.txt: Optional RL dependencies Modified files: - rdagent/app/cli.py: Added rl_trading command - rdagent/components/backtesting/backtest_engine.py: RL backtest support - rdagent/components/coder/rl/costeer.py: Protection Manager integration - rdagent/components/coder/rl/__init__.py: Conditional imports + fallback - rdagent/components/coder/rl/fallback.py: NEW - Simple momentum fallback - requirements.txt: Optional RL deps commented - requirements/rl.txt: NEW - Full RL dependencies - test/integration/test_all_features.py: 7 new integration tests - QWEN.md: Open source strategy + development guidelines - README.md: RL Trading documentation 295 tests pass: 67 integration + 89 RL + 139 backtesting
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503 B
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21 lines
503 B
Plaintext
# RL Trading Dependencies (Optional)
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#
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# Install with: pip install -r requirements/rl.txt
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#
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# These dependencies are OPTIONAL.
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# The Predix RL trading system works without them using a simple momentum fallback.
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#
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# Only install if you want to use full PPO/A2C/SAC training.
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# Core RL library
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stable-baselines3[extra]>=2.0.0
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# Gymnasium environment (OpenAI Gym successor)
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gymnasium>=0.29.0
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# Optional: TensorBoard for training visualization
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tensorboard
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# Optional: Progress bars during training
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tqdm
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