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Extracted algorithm research record

Machine Learning Z-Score

A mean-reversion strategy with automatic lookback selection and optional detrending, using z-scores and regime filters.

Record 1114 · Catalog rank 2,776 · Statistical, Quantitative & Machine Learning · Subtype I1 · Snapshot 2026-10-31 15:46 UTC

Source & extraction context

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Evidence label: backtest_shown (source claim, not independent verification). Recorded completeness: 50.0/100. Neither is a performance result.

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Extraction warnings

Opacity warnings

Recorded market & execution profile

Recorded markets
any
Recorded timeframes
any
Recorded sessions
any
Recorded regime
ranging

Recorded indicators & parameters

Extracted indicator stack
IndicatorParametersApplied to
LinearRegression{"period": 14}close
R2{"period": 50}close
Average{"period": 100}src
Std{"period": 100}src

Extracted strategy rules

Recorded long-entry rules

Recorded short-entry rules

Recorded exit rules

Recorded filters

Stop loss
slLong = close - slMult * atr
Take profit
tpRef = meanSrc
Position sizing
Not specified

Questions about this record

What entry rules are recorded for Machine Learning Z-Score?

Long: buyCross = (z[1] <= -zthreshold) AND (z > -zthreshold) allowLong = 1 AND z < 0 AND rrLong >= minRR AND barssincebuy >= cooldownBars Short: sellCross = (z[1] >= zthreshold) AND (z < zthreshold) allowShort = 1 AND z > 0 AND rrShort >= minRR AND barssincesell >= cooldownBars These are unverified extracted rules.

Which markets and timeframes are recorded?

Markets: any. Timeframes: any. These are source-recorded labels, not verified execution behavior.