Alpaca Trader with ChatGPT An algorithmic trading bot leveraging Reinforcement Learning (specifically PPO) to make trading decisions, and implemented using the Alpaca trading API and ChatGPT.
Table of Contents Description Setup and Installation Usage Contributing License Description This trading bot is designed to:
Train or load a pretrained model. Make trading decisions based on predictions from the trained model. Continuously update trading data and retrain the model at specified intervals. Key features:
Utilizes Proximal Policy Optimization (PPO) for training. Interacts with the Alpaca API to fetch trading data, check market status, and execute trades. Scheduling capabilities to handle data fetching, model training, and trading. Setup and Installation Clone the repository:
bash Copy code git clone https://github.com/deepspacemine/alpaca_trader_Chatgpt.git Navigate to the project directory and install the necessary packages (Note: you might want to use a virtual environment):
bash Copy code pip install -r requirements.txt Setup your Alpaca API credentials. These will be needed to access data and make trades.
Run the main script to start the trading bot (Note: Ensure you're testing in a safe environment):
bash Copy code python main_script_name.py Usage Once setup, the bot will continuously monitor the market, make trading decisions, and retrain at specified intervals. It's recommended to monitor the bot's performance and adjust hyperparameters as needed. Contributing Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.