- Step1: Clone the repository: git clone https://github.com/samre12/deep-trading-agent.git
- Step2: Install dependencies: pip install -r requirements.txt
- Step3: Prepare market data in CSV or via API connectors
- Step4: Configure environment and hyperparameters in config.yaml
- Step5: Train the agent: python train.py --config config.yaml
- Step6: Backtest the trained model: python backtest.py --model checkpoints/agent.pth
- Step7: Deploy live trading: python live_trade.py --model checkpoints/agent.pth --broker your_broker_api