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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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      "baselineHitRates": {
        "1": 0.46467391304347827,
        "5": 0.47802197802197804,
        "10": 0.47075208913649025
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      "sampleConfidence": 0.993939393939394,
      "shadowSharpeLike": -1.1735802371540671,
      "avgForwardReturns": {
        "1": -0.004695787294397977,
        "5": -0.018289113220313527,
        "10": -0.024630370760882557
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      "shadowMaxDrawdown": -0.6237642423494343,
      "shadowTotalReturn": -0.5567179338001678,
      "avgForwardReturn1D": -0.004695787294397977,
      "riskOffActivations": 0,
      "activationDatesSample": [
        "2025-02-04",
        "2025-02-05",
        "2025-02-06",
        "2025-02-07",
        "2025-02-10",
        "2025-02-11",
        "2025-02-12",
        "2025-02-13",
        "2025-02-14",
        "2025-02-18"
      ],
      "horizonObservationCounts": {
        "1": 143,
        "5": 139,
        "10": 134
      },
      "baselineAvgForwardReturns": {
        "1": -0.000332815089269696,
        "5": -0.000021115477237339816,
        "10": 0.000585373971007697
      }
    }
  ],
  "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": 0.06552393128013069,
      "fitnessScore": -0.23466552736975396,
      "lookbackDays": 14,
      "returnLift1D": -0.00005386814236188677,
      "activationRate": 0.336,
      "activationCount": 126,
      "sampleConfidence": 0.9941798941798943,
      "bestPortfolioSize": 2,
      "shadowTotalReturn": -0.12243370051134284,
      "avgForwardReturn1D": -0.00013788385391912415
    },
    {
      "comboQuality": 0.00782652211175502,
      "fitnessScore": -0.7153235411093447,
      "lookbackDays": 21,
      "returnLift1D": -0.003659580826076614,
      "activationRate": 0.28532608695652173,
      "activationCount": 105,
      "sampleConfidence": 0.9917460317460318,
      "bestPortfolioSize": 2,
      "shadowTotalReturn": -0.3885361631561761,
      "avgForwardReturn1D": -0.00399239591534631
    },
    {
      "comboQuality": 0.020170999707789402,
      "fitnessScore": -0.5042890734640423,
      "lookbackDays": 30,
      "returnLift1D": -0.002278588796866333,
      "activationRate": 0.2757660167130919,
      "activationCount": 99,
      "sampleConfidence": 0.9912457912457913,
      "bestPortfolioSize": 2,
      "shadowTotalReturn": -0.28159107264735495,
      "avgForwardReturn1D": -0.002576786021942746
    },
    {
      "comboQuality": 0.07373431617468044,
      "fitnessScore": -0.2067524156713101,
      "lookbackDays": 45,
      "returnLift1D": -0.0006540472848921107,
      "activationRate": 0.3313953488372093,
      "activationCount": 114,
      "sampleConfidence": 0.9923976608187135,
      "bestPortfolioSize": 4,
      "shadowTotalReturn": -0.17603414506912374,
      "avgForwardReturn1D": -0.0010419393452208135
    },
    {
      "comboQuality": 0.069452271532952,
      "fitnessScore": -0.22092939023971306,
      "lookbackDays": 63,
      "returnLift1D": -0.001937196748643778,
      "activationRate": 0.19631901840490798,
      "activationCount": 64,
      "sampleConfidence": 0.9864583333333334,
      "bestPortfolioSize": 4,
      "shadowTotalReturn": -0.13938993828856927,
      "avgForwardReturn1D": -0.001525682376218692
    }
  ],
  "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": "eaa13d0b03357773540407f48d33bd08fb4082ddda4512dbe33f55d5c7814ae7",
    "size": 13,
    "members": [
      "AMPL",
      "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."
}