Machine learning enhances crypto analysis by processing diverse data streams—from on-chain activity to market feeds—uncovering patterns beyond human reach. Both supervised and unsupervised methods detect anomalies, forecast liquidity, and cluster transactions for interpretability. A robust ML stack emphasizes provenance, reproducibility,…