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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},
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}Force Fitness
{
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"avgForwardReturn1D": -0.004177544199317119,
"riskOffActivations": 0,
"activationDatesSample": [
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"2025-10-29",
"2026-01-23",
"2026-01-26",
"2026-01-27",
"2026-01-28",
"2026-01-29",
"2026-01-30",
"2026-02-02",
"2026-02-03"
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"horizonObservationCounts": {
"1": 97,
"5": 93,
"10": 88
},
"baselineAvgForwardReturns": {
"1": 0.00017791397467638824,
"5": 0.0011471982975561803,
"10": 0.005311757158714464
}
},
{
"topN": 3,
"ticker": "ENPH",
"hitRates": {
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"5": 0.30952380952380953,
"10": 0.17721518987341772
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"hitRate1D": 0.42045454545454547,
"rankWeights": [
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0.30000000000000004,
0.20000000000000004
],
"comboQuality": 0.00418511080785081,
"eligibleDays": 326,
"fitnessScore": -0.853846205124681,
"lookbackDays": 63,
"returnLift1D": -0.005702964059645992,
"hitRateLift1D": -0.05807306190741773,
"portfolioSize": 3,
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"shadowSharpeLike": -0.669289276805982,
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"avgForwardReturn1D": -0.0055250500849696035,
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"activationDatesSample": [
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"2026-01-30",
"2026-02-02",
"2026-02-03",
"2026-02-04",
"2026-02-05",
"2026-02-06",
"2026-02-09",
"2026-02-10",
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],
"horizonObservationCounts": {
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"10": 79
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],
"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": [
{
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"fitnessScore": -0.2714220510839874,
"lookbackDays": 14,
"returnLift1D": 0.00041979862732870643,
"activationRate": 0.376,
"activationCount": 141,
"sampleConfidence": 1,
"bestPortfolioSize": 4,
"shadowTotalReturn": -0.20088829963147625,
"avgForwardReturn1D": 0.00040759415483862033
},
{
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"fitnessScore": 0.4046749513154582,
"lookbackDays": 21,
"returnLift1D": 0.004000927498555662,
"activationRate": 0.3233695652173913,
"activationCount": 119,
"sampleConfidence": 1,
"bestPortfolioSize": 3,
"shadowTotalReturn": 0.2955587759079923,
"avgForwardReturn1D": 0.004001101385689474
},
{
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"lookbackDays": 30,
"returnLift1D": 0.0037551628542182064,
"activationRate": 0.30919220055710306,
"activationCount": 111,
"sampleConfidence": 1,
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"avgForwardReturn1D": 0.003746165052396434
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{
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"fitnessScore": -0.0857921680395877,
"lookbackDays": 45,
"returnLift1D": 0.0014124542207197873,
"activationRate": 0.3313953488372093,
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{
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"lookbackDays": 63,
"returnLift1D": -0.0029904580224979264,
"activationRate": 0.19938650306748465,
"activationCount": 65,
"sampleConfidence": 0.9887179487179488,
"bestPortfolioSize": 2,
"shadowTotalReturn": -0.2799902262133588,
"avgForwardReturn1D": -0.002812544047821538
}
],
"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": "d93fb93b514d26d8229c74bf9fbd3a10111f17a044dc93af257ed127697f884c",
"size": 13,
"members": [
"ENPH",
"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."
}
TM