hrdeyhimfar/CryptoMamba-Sentiment: CryptoMamba-Sentiment v5.7.1
CryptoMamba-Sentiment is a sentiment-conditioned selective state space framework for cryptocurrency time-series forecasting. The model extends the Mamba architecture by integrating engineered sentiment signals, including Sentiment Momentum, Sentiment Volatility, and Polarity Ratio, to dynamically modulate state-space parameters. The framework is evaluated on BTC, ETH, and XRP hourly data and demonstrates improved forecasting accuracy and directional prediction performance compared to strong deep learning baselines such as Temporal Fusion Transformer and vanilla Mamba.
Resource information
- Format
- zip
- Original repository
- 20282049
- DOI
- 10.5281/zenodo.20282049
- Credit basis
- Creators in Zenodo record metadata
- Access
- Open files available from the original Zenodo deposit
- Last checked
- Nov 5, 2026
- License
- cc-by-4.0
- Last record update
- Nov 5, 2026
About this resource
CryptoMamba-Sentiment is a sentiment-conditioned selective state space framework for cryptocurrency time-series forecasting. The model extends the Mamba architecture by integrating engineered sentiment signals, including Sentiment Momentum, Sentiment Volatility, and Polarity Ratio, to dynamically modulate state-space parameters. The framework is evaluated on BTC, ETH, and XRP hourly data and demonstrates improved forecasting accuracy and directional prediction performance compared to strong deep learning baselines such as Temporal Fusion Transformer and vanilla Mamba.