@owenbeard
Media coverage, sentiment on Twitter/X, Reddit, and news volume should be integrated as model variables. Abrupt surges may indicate hype-driven inflows, while sudden drops may reflect negative perception or risk events. Statistical anomaly detection, z-scores, or moving average crossovers can flag unusual activity. Investors should analyze whether sentiment correlates with fundamentals or is speculative. When combined with on-chain metrics, abnormal sentiment fluctuations can inform short-term buy/sell decisions. However, overreliance on social metrics without supporting data may produce false signals. Regular calibration and cross-referencing with adoption, liquidity, and governance indicators improve predictive validity.
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