Crypto Analytics Limitations

Assumption

Traders often rely on historical price patterns to forecast future market movements within crypto derivatives, yet this approach frequently overlooks the non-linear nature of decentralized finance protocols. Data models built upon stable market conditions fail to account for exogenous shocks that characterize high-volatility regimes. Reliance on standard distributions ignores the fat-tail risk inherent in digital assets, leading to inaccurate tail-risk hedging.