| # Configuration file for the agentic AI trading system | |
| data_source: | |
| type: 'csv' | |
| path: 'data/market_data.csv' | |
| trading: | |
| symbol: 'AAPL' | |
| timeframe: '1m' | |
| capital: 100000 | |
| risk: | |
| max_position: 100 | |
| max_drawdown: 0.05 | |
| execution: | |
| broker_api: 'paper' | |
| order_size: 10 | |
| # Synthetic data generation settings | |
| synthetic_data: | |
| base_price: 150.0 | |
| volatility: 0.02 | |
| trend: 0.001 | |
| noise_level: 0.005 | |
| generate_data: true | |
| data_path: 'data/synthetic_market_data.csv' | |
| # Logging configuration | |
| logging: | |
| log_level: 'INFO' | |
| log_dir: 'logs' | |
| enable_console: true | |
| enable_file: true | |
| max_file_size_mb: 10 | |
| backup_count: 5 | |
| # FinRL configuration | |
| finrl: | |
| algorithm: 'PPO' # PPO, A2C, DDPG, TD3 | |
| learning_rate: 0.0003 | |
| batch_size: 64 | |
| buffer_size: 1000000 | |
| learning_starts: 100 | |
| gamma: 0.99 | |
| tau: 0.005 | |
| train_freq: 1 | |
| gradient_steps: 1 | |
| target_update_interval: 1 | |
| exploration_fraction: 0.1 | |
| exploration_initial_eps: 1.0 | |
| exploration_final_eps: 0.05 | |
| max_grad_norm: 10.0 | |
| verbose: 1 | |
| tensorboard_log: 'logs/finrl_tensorboard' | |
| training: | |
| total_timesteps: 100000 | |
| eval_freq: 10000 | |
| save_best_model: true | |
| model_save_path: 'models/finrl_best/' | |
| inference: | |
| use_trained_model: false | |
| model_path: 'models/finrl_best/best_model' | |