Aptet Fitness
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"interpretation": {
"scoreMeaning": "The effective fit score after applying the conservative confidence penalty. Lower confidence reduces the effective fit score but does not, by itself, imply evidence of poor fit.",
"fitScopeMeaning": "Aptet fit is currently universe-conditioned: activation history and fit depend on the other members in the tested cross-sectional universe.",
"rawScoreMeaning": "The unadjusted Aptet-family fit estimate before applying the conservative confidence penalty.",
"activationMeaning": "Activation count measures how often the Aptet ranking would have selected the stock while risk-on.",
"confidenceMeaning": "Reflects the amount and breadth of historical evidence supporting the family-fit score.",
"algorithmFitMeaning": "Measures how consistently this stock works across the Aptet strategy family within this tested universe, not only under its single best parameter combination.",
"comboQualityMeaning": "Fixed-scale normalized profile quality derived from fitnessScore using sigmoid((fitnessScore - 0.35) / 0.22).",
"fitnessScoreMeaning": "Per-profile raw score used for diagnostics and ranking. Higher is better, but it is not the stock's overall Aptet-family fit.",
"forwardReturnMeaning": "Forward returns are measured from the close before activation through each requested horizon.",
"profileBreadthMeaning": "Measures how much of the tested Aptet parameter grid clears a robust quality threshold after weighting for sample confidence.",
"parameterStabilityMeaning": "Measures whether nearby Aptet parameter combinations retain a large share of the best profile's normalized quality.",
"confidenceAdjustmentMeaning": "The current conservative_penalty adjustment retains the existing formula: rawScore * confidence + rawScore * (1 - confidence) * 0.50."
},
"lookbackSummary": [
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"strategyOptions": {
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"blended": "Recommended. Mixes activation quality, activation frequency, return lift, and shadow performance.",
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},
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}Force Fitness
{
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"shadowMaxDrawdown": -0.3630337993167235,
"shadowTotalReturn": 0.010544962406870972,
"avgForwardReturn1D": 0.000591567087915886,
"riskOffActivations": 0,
"activationDatesSample": [
"2025-01-24",
"2025-01-27",
"2025-01-31",
"2025-02-03",
"2025-02-04",
"2025-02-05",
"2025-02-06",
"2025-02-14",
"2025-02-18",
"2025-03-20"
],
"horizonObservationCounts": {
"1": 157,
"5": 157,
"10": 157
},
"baselineAvgForwardReturns": {
"1": 0.0008126874160794018,
"5": 0.004341278853031161,
"10": 0.008831286756439639
}
}
],
"interpretation": {
"scoreMeaning": "The effective fit score after applying the conservative confidence penalty.",
"backendMeaning": "This Force evaluator uses the alpha1 backend logic that powers the current Force preview path.",
"fitScopeMeaning": "Force fit is currently universe-conditioned because the stock competes against the tested Force universe at each ranking step.",
"rawScoreMeaning": "The unadjusted Force-family fit estimate before the conservative confidence penalty.",
"algorithmFitMeaning": "Measures how consistently this stock works across the Force strategy family within this tested universe.",
"confidenceAdjustmentMeaning": "The current conservative_penalty adjustment retains the existing formula used by the shared family-fit core."
},
"lookbackSummary": [
{
"comboQuality": 0.5880277859562367,
"fitnessScore": 0.4282800252026916,
"lookbackDays": 14,
"returnLift1D": 0.0014190177205730546,
"activationRate": 0.3413333333333333,
"activationCount": 128,
"sampleConfidence": 1,
"bestPortfolioSize": 2,
"shadowTotalReturn": 0.2414723055809267,
"avgForwardReturn1D": 0.0022317051366524563
},
{
"comboQuality": 0.8200647915358941,
"fitnessScore": 0.6836930339799357,
"lookbackDays": 21,
"returnLift1D": 0.0024570039442374115,
"activationRate": 0.3125,
"activationCount": 115,
"sampleConfidence": 1,
"bestPortfolioSize": 2,
"shadowTotalReturn": 0.41713773732206794,
"avgForwardReturn1D": 0.003469122711161453
},
{
"comboQuality": 0.7994165835245272,
"fitnessScore": 0.6541834374765366,
"lookbackDays": 30,
"returnLift1D": 0.001955321126082901,
"activationRate": 0.35376044568245124,
"activationCount": 127,
"sampleConfidence": 1,
"bestPortfolioSize": 2,
"shadowTotalReturn": 0.38628501960537376,
"avgForwardReturn1D": 0.002988430254694645
},
{
"comboQuality": 0.7139597954226777,
"fitnessScore": 0.5512327405961663,
"lookbackDays": 45,
"returnLift1D": 0.0006917012926901682,
"activationRate": 0.43023255813953487,
"activationCount": 148,
"sampleConfidence": 1,
"bestPortfolioSize": 2,
"shadowTotalReturn": 0.3308615202622236,
"avgForwardReturn1D": 0.0023244255509438823
},
{
"comboQuality": 0.6116888148823222,
"fitnessScore": 0.4499716606038537,
"lookbackDays": 63,
"returnLift1D": -0.00004375951288420384,
"activationRate": 0.5,
"activationCount": 163,
"sampleConfidence": 1,
"bestPortfolioSize": 4,
"shadowTotalReturn": 0.23887723365178548,
"avgForwardReturn1D": 0.0017052622408551513
}
],
"strategyOptions": {
"shadow": "Scores the stock like a standalone trade-only-when-active strategy.",
"blended": "Recommended. Mixes activation quality, activation frequency, return lift, and shadow performance.",
"coverage": "Rewards stocks that activate often without giving up too much quality.",
"precision": "Prioritizes hit rate and average return after activation."
},
"backendAlgorithm": "alpha1",
"universeIdentity": {
"hash": "6662a451a0b40a1aa85caeea39cc7791559dfcf8fa1c3b9757f9291747b35166",
"size": 13,
"members": [
"NLR",
"SMH",
"XLB",
"XLC",
"XLE",
"XLF",
"XLI",
"XLK",
"XLP",
"XLRE",
"XLU",
"XLV",
"XLY"
],
"version": 1
},
"scoreModeDescription": "Recommended. Mixes activation quality, activation frequency, return lift, and shadow performance."
}