BitForecast: CNN-LSTM Cryptocurrency Price Prediction Code

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Authors: Areeba Zaka
Cited by: 0

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