| license: mit | |
| tags: | |
| - reinforcement-learning | |
| - trading | |
| - stable-baselines3 | |
| # Trading Agent RL | |
| Kaggle-trained PPO, SAC, and A2C ensemble for AAPL. The Hugging Face Space at https://huggingface.co/spaces/rezvan98/trading-dashboard reads these artifacts and runs CPU inference for live model signals. | |
| ## Latest Kaggle Run | |
| - Timesteps per agent: 30,000 | |
| - Device: CPU | |
| - Train period: 2018-01-01 to 2023-12-31 | |
| - Test period: 2024-01-01 to 2025-12-31 | |
| | Metric | Value | | |
| |---|---:| | |
| | Total Return | 2.74% | | |
| | Sharpe | -1.219 | | |
| | Max Drawdown | -2.03% | | |
| | SPY Benchmark Return | 48.95% | | |
| ## Artifacts | |
| - `models/ppo_final.zip` | |
| - `models/sac_final.zip` | |
| - `models/a2c_final.zip` | |
| - `models/ensemble_weights.json` | |
| - `data/feature_schema.json` | |
| - `data/backtest_results.csv` | |
| - `data/trade_log.csv` | |
| - `report/metrics.json` | |
| Research and paper trading only. Not financial advice. | |