Put crypto price swings in historical context.
Explains how to estimate and forecast crypto volatility and use it to classify market conditions and manage trading risk.
When to use it
Use when estimating volatility for position sizing, stop placement, strategy selection, risk budgeting, or regime detection.
Ask for volatility analysis; it provides estimates, historical percentile comparisons, regime classifications, or forecasts, with bundled scripts offering synthetic-data demonstrations.
The bundled analysis scripts run with Python 3.
The bundled scripts import numpy for numerical calculations.
The bundled scripts import pandas for price and return series.
This skill
uv pip install pandas numpy scipy
Installs numerical analysis libraries