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  • Pattern Stats
  • Volatility forecast accuracy
  • Liquidation map accuracy

Related tools

Volatility RadarExpected-move forecasts and volatility regime for crypto, forex and stocks.Pattern StatsHow often each candlestick pattern actually worked, scored on public data.Liquidation map accuracyHow often the liquidation map's predicted levels were actually reached.
Volatility Radar

Forecast Accuracy - Public Track Record

How the Volatility Forecast actually performed: for each of the last 60+ trading days we compare the expected move (forecast from prior data only - no hindsight) with the move that really happened. Judge us by the numbers below, recomputed live from public exchange history.

How to read this honestly

A PERFECT ±1σ forecast band contains about 68% of days and a ±1.96σ band about 95% - never 100%. Hit rates close to those targets mean the model is well calibrated. Far above the target means the bands are wider than needed; far below means risk was under-called. 100% would be a red flag, not a feature.

Re-scoring the last 60 days of forecasts…

Methodology (reproducible by anyone)

For every day in the window we rebuild the exact GARCH(1,1) forecast the product would have shown that morning - using only candles that existed at the time - then compare it with the day's realised move. Nothing is stored or curated: this page recomputes the whole track record from public exchange history on every load, so a skeptic with the same candles gets the same numbers. Calibration = average realised move ÷ average forecast move (≈1 is ideal).