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EDTA – Explainable Deep Trading Approach

This project is part of my Ph.D. research and explores opinion extraction and financial trend prediction using LLMs (Large Language Models), Explainable AI (XAI), and deep learning.


📥 How to Get Started

1. Clone the Repository

git clone https://github.com/achrefweli/EDTA.git
cd EDTA

2. Install dependencies

Note: It is recommended to use the uv Python environment manager.

uv sync

3. Launch the Notebook (Optional)

code main.ipynb  # Or open with VS Code and run cells

📁 Structure

  • main.ipynb – Main notebook
  • requirements.txt – List of Python dependencies
  • .gitignore – Git exclusion rules
  • README.md – Project overview (this file)

📚 Related Resources


🔖 License

This project is for academic and research use only. Please contact me before using it commercially.

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EDTA: An Explainable Deep Trading Approach Using Multi-Agent Systems and Large Language Models

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