Automata Crypto Trading Framework

Introduction

Presenting an innovative yet straightforward cryptocurrency trading framework, developed using the capabilities of Aider AI with GPT-4 Turbo technology. A significant portion, over 50%, of this framework's code is generated by Aider AI, a sophisticated coding assistant, under the direction of an experienced developer. This project demonstrates the exceptional potential of AI in coding, showcasing its effective contribution to complex software development processes.

Key Features

AI-Enhanced Codebase

• Utilizing GPT-4 Turbo with a 128k context, Aider AI plays a crucial role in creating more than half of the framework's code.
• This method speeds up the development process and ensures high code quality and efficiency, demonstrating AI's practical application in contemporary software engineering.

Simplicity and Structure

• Despite its technical depth, the framework maintains an uncomplicated and well-organized structure.
• It incorporates the ccxt.pro API for direct connectivity to various cryptocurrency exchanges, providing access to real-time market data.
• ZeroMQ is employed for effective inter-process communication (IPC), enabling smooth interactions between the framework's components.

Central Sequencing Design

• The architecture is centered around a central sequencing design, essential for delineating components.
• This approach simplifies development and maintenance and is crucial for structured algorithmic logic in trading strategy execution.

Asynchronous Programming

• Designed as an asyncio application, notable for its non-blocking and concurrent operation capabilities.
• This is particularly advantageous in trading, where handling multiple tasks simultaneously and responding quickly to market changes are essential.
• The asyncio structure enhances the framework's performance in trading operation execution.

Simple Trading Strategy

• Features a basic trading strategy that places orders at the top of the book or mid-price, based on configuration, every 10 seconds.
• This strategy focuses on optimizing buy or sell prices for potentially more profitable trades.

Conclusion

This cryptocurrency trading framework is more than just an efficient trading tool; it is a testament to the collaboration between advanced AI coding technology and expert human oversight. It represents AI's transformative impact in software development, especially relevant in the ever-evolving field of cryptocurrency trading.

Prerequisites

Before setting up the trading system, ensure that you have Miniconda and PM2 installed on your system.

Initial Setup

1. Create a directory for inter-process communication (IPC):

   mkdir -p /tmp/sequencer
   

2. Set up your environment variables for the API key and secret used by the cryptocurrency exchange. Export them in your shell:

   export CDC_API_KEY=your_api_key
   export CDC_SECRET=your_secret
   

   Replace your_api_key and your_secret with your actual API key and secret values.

3. Configure the conf/opti_trade_config.ini file with the desired strategy parameters:

   [OptiTrade]
   exchange = cryptocom
   symbol = CRO/USD
   tick_size = 0.00001
   order_quantity = 1
   sleep_time_sec = 10
   client_order_id_prefix = OPTI-
   order_side = buy
   exec_mode = TOB
   

   Adjust the parameters as needed for your trading strategy.

Running the System

To run the trading system, use PM2, a process manager for Node.js applications with a built-in load balancer. The demo.config.js file in the repository is configured to start the various components of the system.

Start the system using the following command:

pm2 start demo.config.js

You can monitor the processes with:

pm2 list

To stop the system, use:

pm2 stop demo.config.js

Contributing

Contributions are welcome! If you have a suggestion that would improve this, please fork the repository and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!

License

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