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AI Trader Application

This project is an AI trading application that allows for backtesting different trading strategies. You can run the app locally or with Streamlit.

Project Structure

  • app.py: Main entry file for the Streamlit interface.
  • main.py: Script for running the main application functionality.
  • backtrader, data, log, pages, trading: Folders containing various modules, data, logs, pages, and trading strategies for the application.

Installation and Requirements

Clone this repository and install the required dependencies:

For Mac

  1. Install TA-Lib first:

    brew install ta-lib

  2. Install the required Python packages:

    pip install -r requirements.txt

This project requires Python 3.11 or higher. Non-ARM Macs will need to manually install compatible versions of Torch and TensorFlow.

Usage

Running the Application

  1. Run the main Python script:

    python main.py

  2. Start the Streamlit app:

    streamlit run app.py

Note for Streamlit Users

If you want to run the Streamlit app locally, you will need to create your own .streamlit/secrets.toml file in the root directory to securely store API keys and other secrets. For example:

Example .streamlit/secrets.toml:

[openai]
api_key = "your-openai-api-key-here"

Make sure to replace "your-openai-api-key-here" with your actual API key.

Features

  • Pre-built trading strategies: Includes strategies such as Buy and Hold, Moving Averages, Bollinger Bands, and more.
  • Real-time stock data fetching and visualization: Allows you to fetch, analyze, and visualize stock data in real-time.
  • Customizable backtesting: Configure date ranges, stock selections, and other parameters to backtest your strategies.