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Are calm or wild coins easier for a model to predict?

Auto-generated by Gordon Lab from a real backtest — published as a draft for review, not live.

Are calm or wild coins easier for a model to predict?

The question: We bucketed 25 coins into low/mid/high realized-volatility terciles and compared out-of-sample direction AUC. Does predictability live in the calm names or the wild ones?

What the data said

'low-vol' leads on mean_auc: +0.509

Full results

group metric
low-vol 0.5095
high-vol 0.5067
mid-vol 0.496

Generated by Gordon Lab from a real backtest. Method + caveats live in the harness; this is research, not advice — and the losing runs are shown too.