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      "shadowMaxDrawdown": 0,
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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."
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  "lookbackSummary": [
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      "lookbackDays": 21,
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      "shadowTotalReturn": 0,
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    {
      "bestTopN": 2,
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      "lookbackDays": 30,
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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": "1c755fc753a6a80efac46565816aaaa83155c008e76b60d46221c73072b1a71d",
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      "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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    "forwardDays": [
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    "portfolioSizes": [
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    "safetyNetEquity": "VOO"
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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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      "sampleConfidence": 1,
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      "shadowTotalReturn": -0.025314221947745796,
      "avgForwardReturn1D": 0.00010065226161269255
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    {
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      "lookbackDays": 21,
      "returnLift1D": 0.0009528709746323258,
      "activationRate": 0.36684782608695654,
      "activationCount": 135,
      "sampleConfidence": 1,
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      "shadowTotalReturn": 0.14670603682198102,
      "avgForwardReturn1D": 0.0012699900219445817
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    {
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      "fitnessScore": -0.016968679403717518,
      "lookbackDays": 30,
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      "sampleConfidence": 1,
      "bestPortfolioSize": 3,
      "shadowTotalReturn": -0.04631621372188288,
      "avgForwardReturn1D": -0.00023763086217700618
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    {
      "comboQuality": 0.14923708437384062,
      "fitnessScore": -0.03293140227214093,
      "lookbackDays": 45,
      "returnLift1D": 0.0007920289273217235,
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      "bestPortfolioSize": 2,
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      "lookbackDays": 63,
      "returnLift1D": -0.005185841036455698,
      "activationRate": 0.03680981595092025,
      "activationCount": 12,
      "sampleConfidence": 0.8760281680828159,
      "bestPortfolioSize": 2,
      "shadowTotalReturn": -0.05667106187816906,
      "avgForwardReturn1D": -0.004297760526109427
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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": "1c755fc753a6a80efac46565816aaaa83155c008e76b60d46221c73072b1a71d",
    "size": 13,
    "members": [
      "BOTZ",
      "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."
}