From power laws to AI networks, why complex Bitcoin price models memorize market noise

Overparameterized models and AI networks tend to memorize Bitcoin’s market noise rather than extract stable predictive signals because returns are heavy‑tailed, highly noisy and non‑stationary. That memorization produces strong in‑sample performance but poor out‑of‑sample generalization, making forecasts unreliable. The implication for Bitcoin participants is to be wary of complex model outputs, prioritize rigorous validation and robustness over apparent in‑sample accuracy, and emphasize risk management or simpler models that are less prone to overfitting.