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      "shadowMaxDrawdown": 0,
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      "baselineAvgForwardReturns": {
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    {
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    {
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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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      "bestTopN": 2,
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      "lookbackDays": 14,
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      "bestTopN": 2,
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      "lookbackDays": 21,
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      "activationRate": 0,
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      "sampleConfidence": 0.25,
      "shadowTotalReturn": 0,
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    {
      "bestTopN": 2,
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      "fitnessScore": -0.15031437910802004,
      "lookbackDays": 30,
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    {
      "bestTopN": 2,
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      "lookbackDays": 45,
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  "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."
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  "universeIdentity": {
    "hash": "614a723cfd64d57005982f9564ae73f28cdc0690554256ab647a6bbcb26470c2",
    "size": 13,
    "members": [
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      "XLK",
      "XLP",
      "XLRE",
      "XLU",
      "XLV",
      "XLY"
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    "version": 1
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  "scoreModeDescription": "Recommended. Mixes activation quality, activation frequency, return lift, and shadow performance."
}

{
  "config": {
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    "lookbacks": [
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    "forwardDays": [
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    "portfolioSizes": [
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    "safetyNetEquity": "VOO"
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  "algorithm": "force",
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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."
  },
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      "sampleConfidence": 0.9958071278825996,
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      "shadowTotalReturn": 0.250607674847769,
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      "fitnessScore": 0.752060837491431,
      "lookbackDays": 21,
      "returnLift1D": 0.0009768669137600811,
      "activationRate": 0.43478260869565216,
      "activationCount": 160,
      "sampleConfidence": 0.9962500000000001,
      "bestPortfolioSize": 4,
      "shadowTotalReturn": 0.3887647281785336,
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      "lookbackDays": 30,
      "returnLift1D": 0.0002063005839549255,
      "activationRate": 0.2618384401114206,
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      "bestPortfolioSize": 2,
      "shadowTotalReturn": 0.0902437755280936,
      "avgForwardReturn1D": 0.0011674347328085352
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    {
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      "fitnessScore": 0.5722606872331734,
      "lookbackDays": 45,
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      "sampleConfidence": 1,
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      "shadowTotalReturn": 0.20748066965968315,
      "avgForwardReturn1D": 0.0014098269528868088
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      "lookbackDays": 63,
      "returnLift1D": 0.0002741455829913122,
      "activationRate": 0.34049079754601225,
      "activationCount": 111,
      "sampleConfidence": 0.9921921921921922,
      "bestPortfolioSize": 3,
      "shadowTotalReturn": 0.09434844522688879,
      "avgForwardReturn1D": 0.0010677930536020929
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  ],
  "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": "614a723cfd64d57005982f9564ae73f28cdc0690554256ab647a6bbcb26470c2",
    "size": 13,
    "members": [
      "PM",
      "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."
}