BitForecast: CNN-LSTM Cryptocurrency Price Prediction Code
Abstract
implementation code for the research paper "BitForecast: A Hybrid CNN-LSTM Model for Cryptocurrency Price Prediction". Includes: 1. Random Forest classifier for cryptocurrency price direction prediction (54.2% accuracy) 2. CNN-LSTM hybrid deep learning model (48.1% accuracy) 3. Feature engineering with technical indicators 4. Visualization code for generating paper figures 5. Requirements and setup instructions Tested on Bitcoin daily OHLCV data (January 2020 - July 2021). Dataset available on Kaggle: https://www.kaggle.com/datasets/sudalairajkumar/cryptocurrencypricehistory
Fields of Study & Subjects
Stock Market Forecasting Methods
Blockchain Technology Applications and Security
Forecasting Techniques and Applications
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 18 January 2026
- Document type
- Dataset