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This repository hosts an AI agent that autonomously researches quantitative trading strategies using machine learning. The agent analyzes datasets, experiments with models, and commits updates to enhance trading algorithms. Its tasks include data preprocessing, feature engineering, model training, backtesting, and generating insightful reports.

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XxAlonexX/AI-Agent

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Quantitative Trading Research AI Agent

This project implements an AI agent that conducts research in quantitative trading using machine learning approaches. The agent performs the following tasks:

  1. Conducts research on various trading strategies
  2. Implements and tests machine learning models for trading
  3. Documents findings in markdown format
  4. Manages version control of research and code

Project Structure

├── research/           # Research markdown files
├── models/            # Saved ML models
├── src/              # Source code
│   ├── agent/        # AI agent implementation
│   ├── models/       # ML model implementations
│   └── utils/        # Utility functions
├── data/             # Data storage
└── tests/            # Test files

Setup

  1. Clone the repository
    git clone git@github.com:XxAlonexX/AI-Agent.git
  2. Install dependencies:
    pip install -r requirements.txt

Usage

Run the agent:

python src/main.py

About

This repository hosts an AI agent that autonomously researches quantitative trading strategies using machine learning. The agent analyzes datasets, experiments with models, and commits updates to enhance trading algorithms. Its tasks include data preprocessing, feature engineering, model training, backtesting, and generating insightful reports.

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