Transformers vs LSTM for Stock Price Prediction

Overview

Using Long Short-Term Memory (LSTM) and Transformers Models to predict future prices of RUNE/USDT using historical data and technical indicators like SMA, EMA, MACD, and RSI.

Data Source

Binance API for RUNE/USDT data

To learn more about the Binance API and how to create API keys, visit: Binance API Documentation

Installation

1. Clone the repository:

   git clone https://github.com/quelstriless/LSTM-Crypto-Price-Prediction.git
   cd LSTM-Transformers-PricePredictionComparison

2. Create a virtual environment and activate it:

   python -m venv venv
   source venv/bin/activate  # On Windows use `venv\Scripts\activate`

Usage LTSM

1. Ensure you have your Binance API keys.
2. Edit the script to include your API keys.
3. Run the script:

   python LTSM-Model.py

Usage Transformers

1. Ensure you have your Binance API keys.
2. Edit the script to include your API keys.
3. Run the script:

   python Transformers-Model.py

Results

LTSM

Transformers

The above plot shows the predicted future prices of RUNE/USDT.

License

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