This project is a trading engine built with Python and Anaconda. It is designed to execute trading strategies and manage trading operations efficiently. For this limited data from the BVB stock exchange it can predict with ~70% accuracy whether the price will go up or down.
- gather more training data
- expand the number of layers
- take more into consideration the variance of the stock
- Clone the repository:
git clone https://github.com/ignatmatei/trading-engine.git
- Navigate to the project directory:
cd trading-engine - Create a new Anaconda environment:
conda create --name trading-env python=3.8
- Activate the environment:
conda activate trading-env
- Install the dependencies:
conda install --file bio-env.txt
- Ensure the Anaconda environment is activated:
conda activate trading-env
- Run the trading engine:
python main.py
This project is licensed under the MIT License - see the LICENSE file for details.