Data science project analyzing bitcoin market sentiment and trader performance using hyperliquid data. Combines sentiment indicators with trading records to uncover behavioral patterns, quantify correlations, and deliver insights for smarter web3 trading strategies.
open-source machine-learning ai deep-learning bitcoin exploratory-data-analysis data-visualization clean-architecture datascience trading-strategies web3 feature-engineering predictive-modeling financial-data crypto-trading market-sentiment quant-research crypto-analytics hyperliquid trader-behavior
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Updated
Oct 27, 2025 - Jupyter Notebook