SAL-CryptoPulse

The official implementation of the paper "CryptoPulse: Short-Term Cryptocurrency Forecasting with Dual-Prediction and Cross-Correlated Market Indicators". Portions of the code have been adapted from the DLinear implementation.

🚀 Features

• Short-Term Forecasting: Predict cryptocurrency prices with a model designed for short-term predictions(next-day).
• Batch Processing: Run predictions for multiple cryptocurrencies at once.
• Flexible & Easy to Use: Install, run, and watch the results roll in!

⚙️ Installation

You can install the package directly from GitHub with pip:

    pip install git+https://github.com/Sequential-Analytics-Lab/SAL-CryptoPulse.git

Alternatively, you can install it manually:

1. Clone the repo:

    git clone https://github.com/Sequential-Analytics-Lab/SAL-CryptoPulse.git
   
    cd SAL-Cryptopulse
   

2. Install dependencies in a virtual environment:

    python -m venv env_crypto
   
    env_crypto\Scripts\activate
   
    pip install -e .
   

🎯 Usage

After installation, you can run the model directly using the package's command line interface if you had installed the package directly from GitHub with `pip :

For a single run:

    cryptopulse --data <crypto-ticker-symbol> --train-epochs 10 --batch-size 32 

For batch processing (multiple cryptos at once):

    cryptopulse_batch

Alternatively, you can run the model using the Python command if you have cloned the repo in your local

For a single run:

    python -m cryptopulse.main --data BTC-USD --train-epochs 10 --batch-size 32

For batch processing (multiple cryptos at once):

    python -m cryptopulse.batch_processor

📊 Results

All results are saved in the results/cryptopulse_results directory.

💡 Contributing

Feel free to use this research work. Let’s build a smarter CryptoPulse together! If you have any questions, or suggestions, or want to collaborate on future developments, don’t hesitate to reach out.

You can connect with me on LinkedIn: Amit - https://www.linkedin.com/in/aamit-datascientist/

📝 Citation

@article{kumar2025cryptopulse, title={CryptoPulse: Short-Term Cryptocurrency Forecasting with Dual-Prediction and Cross-Correlated Market Indicators}, author={Kumar, Amit and Ji, Taoran}, journal={arXiv preprint arXiv:2502.19349}, year={2025} }