Trading Algorithm for Maximizing Profits

This repository contains our Artificial Intelligence University Project: an automated trading algorithm using reinforcement learning to optimize buy/sell decisions and maximize financial returns.
Group project members:

• Francesco Maddaloni
• Daniela Amendola
• Giovanni Donisi

Installation

The project was built using Python 3.10, you can download it and install its dependencies with:

git clone https://github.com/frenkmadda/TradingRL_project.git
cd TradingRL_project
pip3 install -r requirements.txt

Usage

1. Download market data:

   python3 download_data.py

2. Run the Jupyter notebook:

   jupyter notebook

3. Open the trading.ipynb file and run the cells to train the model and evaluate its performance.