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.

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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.

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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.

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Usage

Running the Application

1. Run the main Python script:

   python main.py

2. Start the Streamlit app:

   streamlit run app.py

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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.

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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.

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