Published January 18, 2026 | Version v1

BitForecast: CNN-LSTM Cryptocurrency Price Prediction Code

Authors/Creators

  • 1. ROR icon University of Management and Technology

Description

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

Files

Bitcoin Price prediction.zip

Files (364.3 kB)

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