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Calibration: Stocks
When we said a level had an X% chance of being touched, how often did it actually happen? Out-of-sample, bucket by bucket.
Mean gap
0.87 pp
Checks measured
30.3M
30,337,932
Out-of-sample window
2020-2026
PredictedRealized
Mean gap
1.09 pp
Checks measured
7.5M
7,475,484
Out-of-sample window
2020-2026
PredictedRealized
Mean gap
0.72 pp
Checks measured
17.7M
17,697,888
Out-of-sample window
2020-2026
PredictedRealized
Mean gap
1.04 pp
Checks measured
5.2M
5,164,560
Out-of-sample window
2020-2026
PredictedRealized
These are touch probabilities from the model's own reliability check, not graded trade calls — for those, see the live Scorecard.
Per-sector breakdown, not per-symbol — the source data does not carry a per-symbol (e.g. ES vs NQ, or AAPL vs MSFT) calibration split, only per-sector/scope. 20-point-percentage bins (coarser than the 10pp futures/fx/stocks breakdown above) to keep per-sector cells sampled. Stocks: historical period 2020-2026, these 12 names selected ex-post (survivorship) — calibration applies to these names, not a random stock.
median |gap| (today's RTH open vs. yesterday's RTH close, as a % move) from two years of the symbol's OWN 1-minute bars, never a pooled/cross-symbol average.
Historical period 2020-2026, these 12 names selected ex-post (survivorship) — calibration applies to these names, not a random stock. Live frozen scorecard accumulates from launch.