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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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        "5": 0.5794117647058824,
        "10": 0.608955223880597
      },
      "sampleConfidence": 0.9916666666666667,
      "shadowSharpeLike": -0.8356755852602908,
      "avgForwardReturns": {
        "1": -0.005960495533864816,
        "5": -0.03558133425615039,
        "10": -0.06620117020552196
      },
      "shadowMaxDrawdown": -0.6330931946433652,
      "shadowTotalReturn": -0.6016072122644532,
      "avgForwardReturn1D": -0.005960495533864816,
      "riskOffActivations": 0,
      "activationDatesSample": [
        "2025-06-05",
        "2025-06-06",
        "2025-06-09",
        "2025-06-11",
        "2025-06-12",
        "2025-06-13",
        "2025-06-16",
        "2025-06-17",
        "2025-06-18",
        "2025-06-20"
      ],
      "horizonObservationCounts": {
        "1": 104,
        "5": 100,
        "10": 95
      },
      "baselineAvgForwardReturns": {
        "1": 0.0015475704805082747,
        "5": 0.007189038475593719,
        "10": 0.014022837683740293
      }
    }
  ],
  "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": 0.018074968790044926,
      "fitnessScore": -0.528897122647569,
      "lookbackDays": 14,
      "returnLift1D": -0.0031500140370531587,
      "activationRate": 0.4533333333333333,
      "activationCount": 170,
      "sampleConfidence": 0.9968627450980393,
      "bestPortfolioSize": 4,
      "shadowTotalReturn": -0.49328395130449953,
      "avgForwardReturn1D": -0.0019763942854789975
    },
    {
      "comboQuality": 0.08086094036486341,
      "fitnessScore": -0.18475543736380506,
      "lookbackDays": 21,
      "returnLift1D": -0.002094884864405732,
      "activationRate": 0.31521739130434784,
      "activationCount": 116,
      "sampleConfidence": 0.9948275862068966,
      "bestPortfolioSize": 2,
      "shadowTotalReturn": -0.18052645425337188,
      "avgForwardReturn1D": -0.0007633793056556137
    },
    {
      "comboQuality": 0.03607684355155745,
      "fitnessScore": -0.37277928174122876,
      "lookbackDays": 30,
      "returnLift1D": -0.0021739213793114916,
      "activationRate": 0.4428969359331476,
      "activationCount": 159,
      "sampleConfidence": 0.9945492662473795,
      "bestPortfolioSize": 4,
      "shadowTotalReturn": -0.3612044847250888,
      "avgForwardReturn1D": -0.0007799425661402998
    },
    {
      "comboQuality": 0.011905941328742746,
      "fitnessScore": -0.622122876440068,
      "lookbackDays": 45,
      "returnLift1D": -0.0046024711168041015,
      "activationRate": 0.3866279069767442,
      "activationCount": 133,
      "sampleConfidence": 0.993483709273183,
      "bestPortfolioSize": 3,
      "shadowTotalReturn": -0.5140876260473322,
      "avgForwardReturn1D": -0.003054900636295827
    },
    {
      "comboQuality": 0.01683271347668321,
      "fitnessScore": -0.544840113524829,
      "lookbackDays": 63,
      "returnLift1D": -0.005009338514903322,
      "activationRate": 0.37423312883435583,
      "activationCount": 122,
      "sampleConfidence": 0.992896174863388,
      "bestPortfolioSize": 3,
      "shadowTotalReturn": -0.48760570330155206,
      "avgForwardReturn1D": -0.0029625098790189708
    }
  ],
  "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": "6e0a47a180a9485d26b68718b7f5dd82894edea7829966e29d6a574954d2660d",
    "size": 13,
    "members": [
      "AGIO",
      "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."
}