TrAIde

TrAIde is a comprehensive tool designed to analyze market sentiment and automate trading strategies. It leverages data from various sources, processes it, and provides actionable insights.

Features

• Sentiment Analysis: Analyze market sentiment on each symbol using a a sentiment analysis model for market terms.
• Automated Symbol Caching: Automatically cache symbols daily using AlphaVantage API.
• Continuous Streaming: Real time data streaming and analysis.
• MongoDB Data Storage: Store all collected data for easy access.
• API Endpoints: Connects to traide-web for seamless integration.

Installation

1. Clone the repository:

   git clone https://github.com/soodshaurya/traide.git
   cd traide
   

2. Install the required dependencies:

   pip install -r requirements.txt
   

3. Configure the application:

   • Duplicate the configuration file configtemplate.ini and rename to config.ini.
   • Add API key, Reddit application information, and MongoDB port.

Usage

1. Start the application:

   python main.py
   

2. Access the API endpoints as documented in api.py.

Configuration

• MongoDB: Ensure MongoDB is running on a non-default port (NOT 27017). Update the configuration in config.ini.
• Logging: Logs are stored in the logs directory and are printed to the terminal. Check the latest logs for any issues.

Development

TODO

• Write an algorithm to make a decision to sell/buy and how many to sell/buy.

  • Use stock trend for day, week, and month.
  • Use average sentiment for day and week.
  • Tweak weight values.

• Implement a weightage system for more influential people and higher comment scores.

• Implement scraping from facebook groups.

• Implement scraping of stocks by name in addition to symbol.

Low Priority

• Write a model for sentiment analysis dedicated to market terms.

Completed

• Everything before we had a TODO.
• Wrote a timer.
• Updated sub-list and distilbert.
• Streaming rewrite.
• Wrote a script to run continuously.
• API endpoint to connect to traide-web.
• Wrote an automated symbol caching system (every day right now).

License

This project is licensed under the MIT License - see the LICENSE file for details.

Contributing

1. Fork the repository.
2. Create your feature branch (git checkout -b feature/your-feature).
3. Commit your changes (git commit -am 'Add some feature').
4. Push to the branch (git push origin feature/your-feature).
5. Create a new Pull Request.