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MonstraTM

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Built for research, simulation, and strategy exploration on Monstra's dark-first platform.

Vector V2 pipeline

Vectors

Per-ticker stock movement feature vectors computed by the Monstra-Worker pipeline - momentum, trend quality, stability, liquidity, aggression, and quality-momentum composites, read directly from trading."Vector".

Coverage
355 tickers
Showing 51-100 of 355
Page 2 of 8
TickerSectorMomentumQualityStabilityLiquidityAptet FitForce FitCoverageUpdated
RTXIndustrials0.6790.6390.7030.9860.559 moderate0.420 weak100%Jul 26, 2:00 AM
ROLConsumer Discretionary0.2730.3440.5530.7940.163 poor0.415 weak100%Jul 26, 2:00 AM
ROBO-0.4710.4860.7080.3950.162 poor
Ticker detail

CRM

Information Technology | v2 | as of 2026-07-23
Close

Research Detail

CRM

CRM

Category

Sector: Details unavailable

Industry / Category: Details unavailable

Market Cap / ETF Type: Details unavailable

Type: Stock

Preview Performance

Sample layoutNot live data
3M Return: Unavailable
1Y Return: Unavailable

Description

Description unavailable.

Mapped readout
Common labels resolved to the real Vector V2 storage keys.
36 fields
Beta To Benchmark 1y
0.453
Correlation To Benchmark 1y
0.145
Inverse To Benchmark 1y
0.855
Drawdown Score 1m
0.612
Drawdown Score 3m
0.295
0.526 moderate
98%
Jul 26, 2:00 AM
RIOTFinancials0.5540.5220.1720.8720.096 poor0.829 strong100%Jul 26, 1:59 AM
RIOMaterials0.4680.4940.6760.8060.161 poor0.817 strong100%Jul 26, 1:59 AM
REGNHealth Care0.5120.4340.5130.9010.131 poor0.246 poor100%Jul 26, 1:59 AM
RCLConsumer Discretionary0.4510.4140.4830.9570.462 weak0.423 weak100%Jul 26, 1:58 AM
QQQ-0.5150.5450.7471.0000.358 weak0.555 moderate98%Jul 26, 1:58 AM
QCOMInformation Technology0.4820.4260.4411.0000.115 poor0.502 moderate100%Jul 26, 1:58 AM
QCLN-0.3710.4200.5520.3760.165 poor0.848 strong98%Jul 26, 1:58 AM
PRCT-0.2170.2330.2800.5410.051 poor0.094 poor100%Jul 26, 1:57 AM
PODDHealth Care0.4770.4080.4420.7870.127 poor0.181 poor100%Jul 26, 1:57 AM
PMConsumer Staples0.6330.5940.6840.9970.165 poor0.627 moderate100%Jul 26, 1:57 AM
PLTRInformation Technology0.4690.3600.3851.0000.756 good0.681 good100%Jul 26, 1:56 AM
PLDReal Estate0.5400.5770.7650.9270.331 poor0.271 poor100%Jul 26, 1:56 AM
PHIndustrials0.5760.5410.7010.9120.653 good0.581 moderate100%Jul 26, 1:56 AM
PGRFinancials0.4780.4370.6320.9600.163 poor0.095 poor100%Jul 26, 1:55 AM
PBREnergy0.6210.5960.6440.8010.077 poor0.679 good100%Jul 26, 1:55 AM
PBF-0.8790.7530.4780.6990.942 strong0.934 strong100%Jul 26, 1:55 AM
PAYCInformation Technology0.5360.4360.4350.7260.147 poor0.195 poor100%Jul 26, 1:55 AM
PATKConsumer Discretionary0.3440.3220.4550.6320.539 moderate0.504 moderate100%Jul 26, 1:54 AM
PARREnergy0.7470.6700.5450.5760.996 strong0.997 strong100%Jul 26, 1:54 AM
PANWInformation Technology0.7770.7360.5361.0000.958 strong0.917 strong100%Jul 26, 1:54 AM
PAGPEnergy0.5790.6150.7630.4940.860 strong0.784 good100%Jul 26, 1:53 AM
PAGConsumer Discretionary0.6560.6130.6390.5770.537 moderate0.405 weak100%Jul 26, 1:53 AM
PACSHealth Care0.7990.6760.3930.5350.872 strong0.889 strong100%Jul 26, 1:53 AM
OXYEnergy0.6220.5620.5980.9000.067 poor0.205 poor100%Jul 26, 1:53 AM
OVVEnergy0.5430.5570.6370.7450.523 moderate0.460 weak100%Jul 26, 1:52 AM
OUTReal Estate0.6790.7270.7250.6120.782 good0.742 good100%Jul 26, 1:52 AM
OTISIndustrials0.4640.4540.6290.8120.049 poor0.131 poor100%Jul 26, 1:52 AM
ORLAMaterials0.2910.2950.2020.5120.173 poor0.331 poor100%Jul 26, 1:51 AM
ORCLInformation Technology0.1140.1810.2751.0000.677 good0.593 moderate100%Jul 26, 1:51 AM
OPYFinancials0.7370.6730.6660.3910.835 strong0.781 good100%Jul 26, 1:51 AM
ONInformation Technology0.3980.4730.4251.0000.070 poor0.878 strong100%Jul 26, 1:50 AM
OMFFinancials0.5660.4430.5690.6140.604 moderate0.537 moderate100%Jul 26, 1:50 AM
OMCCommunication Services0.6170.4890.5820.8640.088 poor0.080 poor100%Jul 26, 1:50 AM
OKEEnergy0.6020.6010.6780.8330.080 poor0.248 poor100%Jul 26, 1:49 AM
NXPIInformation Technology0.5150.4930.5271.0000.094 poor0.218 poor100%Jul 26, 1:49 AM
NVOHealth Care0.5490.4560.3340.8920.194 poor0.225 poor100%Jul 26, 1:49 AM
NVDL-0.5610.4670.2830.8750.154 poor0.696 good98%Jul 26, 1:48 AM
NVDAInformation Technology0.5630.5320.5921.0000.630 moderate0.530 moderate100%Jul 26, 1:48 AM
NSCIndustrials0.6950.6590.7570.8440.159 poor0.394 weak100%Jul 26, 1:48 AM
NOWInformation Technology0.4060.3390.3771.0000.073 poor0.068 poor100%Jul 26, 1:47 AM
NOCIndustrials0.4900.4270.5470.9170.166 poor0.410 weak100%Jul 26, 1:47 AM
NLR-0.3260.3280.4490.5670.165 poor0.643 moderate98%Jul 26, 1:47 AM
NFLXCommunication Services0.3340.3450.5121.0000.520 moderate0.551 moderate100%Jul 26, 1:46 AM
NEEUtilities0.5440.5260.7240.9940.205 poor0.198 poor100%Jul 26, 1:46 AM
MUInformation Technology0.7090.7080.4251.0000.293 poor0.999 strong100%Jul 26, 1:46 AM
MSTRInformation Technology0.2160.2690.2071.0000.170 poor0.164 poor100%Jul 26, 1:45 AM
MSFTInformation Technology0.4580.4090.6191.0000.450 weak0.533 moderate100%Jul 26, 1:45 AM
PreviousPage 2 of 8Next
Drawdown Score 6m
0.378
Drawdown Score 1y
0.323
Drawdown Score 2y
0.267
Drawdown Score 5y
0.413
Return 1w
-0.091
Return 1m
0.023
Return 3m
-0.171
Return 6m
-0.288
Return 1y
-0.400
Return 2y
-0.356
Return 5y
-0.328
Sharpe 1m
0.832
Sharpe 3m
-1.252
Sharpe 6m
-1.249
Sharpe 1y
-1.084
Sharpe 2y
-0.426
Sharpe 5y
-0.024
Trend 1w
-0.018
Trend 1m
0.004
Trend 3m
-0.002
Trend 6m
-0.002
Trend 1y
-0.002
Trend 2y
-0.001
Trend 5y
0.000
Volatility 1w
0.377
Volatility 1m
0.432
Volatility 3m
0.501
Volatility 6m
0.460
Volatility 1y
0.397
Volatility 2y
0.363
Volatility 5y
0.374
Not part of the current Vector V2 payload: Drawdown Score 1w, Drawdown Score 2w, Return 2w, Sharpe 1w, Sharpe 2w, Sharpe Score, Trend 2w, Volatility 2w. Trend labels map to the stored trend slope fields.
Metadata
Identity, provenance, coverage, and diagnostics.
74 fields
Ticker
CRM
Vector Name
stock_movement_v2
Vector Version
2
As Of Date
2026-07-23
Updated At
Jul 26, 1:13 AM
Benchmark
SPY
Benchmark Ticker
SPY
Sector Name
Information Technology
Sector Benchmark Ticker
XLK
Feature Coverage Ratio
100%
History Coverage Days
1,505
Data Start Date
2020-07-27
Data End Date
2026-07-23
Feature Contract Hash
6fe6bf7edd83d7ccfb28d5e98d0120e288890d9c80faf9b6cdacae0a0c34d359
Sector Diagnostic
-
Missing Required Features
[]
Aptet Fit Score
0.165
Aptet Fit Raw Score
0.274
Aptet Fit Confidence
0.203
Aptet Fit Label
poor
Aptet Fitness Error
-
Force Fit Score
0.132
Force Fit Raw Score
0.141
Force Fit Confidence
0.868
Force Fit Label
poor
Force Fitness Error
-
Stock Fitness Updated At
Jul 26, 1:13 AM
Aptet Fitness
{
  "config": {
    "topNs": [
      2,
      3,
      4,
      5
    ],
    "universe": [
      "XLK",
      "XLF",
      "XLV",
      "XLY",
      "XLI",
      "XLP",
      "XLE",
      "XLB",
      "XLU",
      "XLRE",
      "XLC",
      "SMH",
      "CRM"
    ],
    "lookbacks": [
      14,
      21,
      30,
      45,
      63
    ],
    "forwardDays": [
      1,
      5,
      10
    ],
    "maxHoldings": 5,
    "minHoldings": 2,
    "fallbackTicker": "VOO",
    "riskOffEnabled": true,
    "adaptationSpeed": "balanced",
    "benchmarkTicker": "VOO"
  },
  "ticker": "CRM",
  "fitScope": "universe_conditioned",
  "algorithm": "aptet",
  "bestCombo": {
    "topN": 2,
    "ticker": "CRM",
    "hitRates": {
      "1": 0,
      "5": 0,
      "10": 0
    },
    "hitRate1D": 0,
    "comboQuality": 0.091904404805206,
    "eligibleDays": 352,
    "fitnessScore": -0.1539321530061319,
    "lookbackDays": 14,
    "returnLift1D": 0.008699562178845141,
    "hitRateLift1D": -0.35294117647058826,
    "activationRate": 0,
    "activationCount": 0,
    "baselineHitRates": {
      "1": 0.35294117647058826,
      "5": 0.3076923076923077,
      "10": 0
    },
    "sampleConfidence": 0.25,
    "shadowSharpeLike": 0,
    "avgForwardReturns": {
      "1": 0,
      "5": 0,
      "10": 0
    },
    "shadowMaxDrawdown": 0,
    "shadowTotalReturn": 0,
    "avgForwardReturn1D": 0,
    "riskOffActivations": 0,
    "activationDatesSample": [],
    "horizonObservationCounts": {
      "1": 0,
      "5": 0,
      "10": 0
    },
    "baselineAvgForwardReturns": {
      "1": -0.008699562178845141,
      "5": -0.028096942600869146,
      "10": -0.050814225736800625
    }
  },
  "dateRange": {
    "end": "2026-07-25",
    "start": "2025-01-01"
  },
  "scoreMode": "blended",
  "calibration": {
    "bestComboQuality": 0.091904404805206,
    "comboQualityScale": 0.22,
    "comboQualityCenter": 0.35,
    "medianComboQuality": 0.091904404805206,
    "bestRawFitnessScore": -0.1539321530061319,
    "upperQuartileComboQuality": 0.091904404805206
  },
  "algorithmFit": {
    "label": "poor",
    "score": 0.1645414948125054,
    "rawScore": 0.27352352384416484,
    "confidence": 0.203125,
    "bestProfile": {
      "topN": 2,
      "lookbackDays": 14
    },
    "profileBreadth": 0,
    "recommendedRegion": {
      "topNs": [
        2
      ],
      "lookbackDays": [
        14
      ]
    },
    "parameterStability": 1,
    "confidenceAdjustment": "conservative_penalty"
  },
  "rankedCombos": [
    {
      "topN": 2,
      "ticker": "CRM",
      "hitRates": {
        "1": 0,
        "5": 0,
        "10": 0
      },
      "hitRate1D": 0,
      "comboQuality": 0.091904404805206,
      "eligibleDays": 352,
      "fitnessScore": -0.1539321530061319,
      "lookbackDays": 14,
      "returnLift1D": 0.008699562178845141,
      "hitRateLift1D": -0.35294117647058826,
      "activationRate": 0,
      "activationCount": 0,
      "baselineHitRates": {
        "1": 0.35294117647058826,
        "5": 0.3076923076923077,
        "10": 0
      },
      "sampleConfidence": 0.25,
      "shadowSharpeLike": 0,
      "avgForwardReturns": {
        "1": 0,
        "5": 0,
        "10": 0
      },
      "shadowMaxDrawdown": 0,
      "shadowTotalReturn": 0,
      "avgForwardReturn1D": 0,
      "riskOffActivations": 0,
      "activationDatesSample": [],
      "horizonObservationCounts": {
        "1": 0,
        "5": 0,
        "10": 0
      },
      "baselineAvgForwardReturns": {
        "1": -0.008699562178845141,
        "5": -0.028096942600869146,
        "10": -0.050814225736800625
      }
    },
    {
      "topN": 3,
      "ticker": "CRM",
      "hitRates": {
        "1": 0,
        "5": 0,
        "10": 0
      },
      "hitRate1D": 0,
      "comboQuality": 0.091904404805206,
      "eligibleDays": 352,
      "fitnessScore": -0.1539321530061319,
      "lookbackDays": 14,
      "returnLift1D": 0.008699562178845141,
      "hitRateLift1D": -0.35294117647058826,
      "activationRate": 0,
      "activationCount": 0,
      "baselineHitRates": {
        "1": 0.35294117647058826,
        "5": 0.3076923076923077,
        "10": 0
      },
      "sampleConfidence": 0.25,
      "shadowSharpeLike": 0,
      "avgForwardReturns": {
        "1": 0,
        "5": 0,
        "10": 0
      },
      "shadowMaxDrawdown": 0,
      "shadowTotalReturn": 0,
      "avgForwardReturn1D": 0,
      "riskOffActivations": 0,
      "activationDatesSample": [],
      "horizonObservationCounts": {
        "1": 0,
        "5": 0,
        "10": 0
      },
      "baselineAvgForwardReturns": {
        "1": -0.008699562178845141,
        "5": -0.028096942600869146,
        "10": -0.050814225736800625
      }
    },
    {
      "topN": 4,
      "ticker": "CRM",
      "hitRates": {
        "1": 0,
        "5": 0,
        "10": 0
      },
      "hitRate1D": 0,
      "comboQuality": 0.091904404805206,
      "eligibleDays": 352,
      "fitnessScore": -0.1539321530061319,
      "lookbackDays": 14,
      "returnLift1D": 0.008699562178845141,
      "hitRateLift1D": -0.35294117647058826,
      "activationRate": 0,
      "activationCount": 0,
      "baselineHitRates": {
        "1": 0.35294117647058826,
        "5": 0.3076923076923077,
        "10": 0
      },
      "sampleConfidence": 0.25,
      "shadowSharpeLike": 0,
      "avgForwardReturns": {
        "1": 0,
        "5": 0,
        "10": 0
      },
      "shadowMaxDrawdown": 0,
      "shadowTotalReturn": 0,
      "avgForwardReturn1D": 0,
      "riskOffActivations": 0,
      "activationDatesSample": [],
      "horizonObservationCounts": {
        "1": 0,
        "5": 0,
        "10": 0
      },
      "baselineAvgForwardReturns": {
        "1": -0.008699562178845141,
        "5": -0.028096942600869146,
        "10": -0.050814225736800625
      }
    },
    {
      "topN": 5,
      "ticker": "CRM",
      "hitRates": {
        "1": 0,
        "5": 0,
        "10": 0
      },
      "hitRate1D": 0,
      "comboQuality": 0.091904404805206,
      "eligibleDays": 352,
      "fitnessScore": -0.1539321530061319,
      "lookbackDays": 14,
      "returnLift1D": 0.008699562178845141,
      "hitRateLift1D": -0.35294117647058826,
      "activationRate": 0,
      "activationCount": 0,
      "baselineHitRates": {
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        "5": 0.3076923076923077,
        "10": 0
      },
      "sampleConfidence": 0.25,
      "shadowSharpeLike": 0,
      "avgForwardReturns": {
        "1": 0,
        "5": 0,
        "10": 0
      },
      "shadowMaxDrawdown": 0,
      "shadowTotalReturn": 0,
      "avgForwardReturn1D": 0,
      "riskOffActivations": 0,
      "activationDatesSample": [],
      "horizonObservationCounts": {
        "1": 0,
        "5": 0,
        "10": 0
      },
      "baselineAvgForwardReturns": {
        "1": -0.008699562178845141,
        "5": -0.028096942600869146,
        "10": -0.050814225736800625
      }
    },
    {
      "topN": 2,
      "ticker": "CRM",
      "hitRates": {
        "1": 0,
        "5": 0,
        "10": 0
      },
      "hitRate1D": 0,
      "comboQuality": 0.091904404805206,
      "eligibleDays": 339,
      "fitnessScore": -0.1539321530061319,
      "lookbackDays": 21,
      "returnLift1D": 0.008699562178845141,
      "hitRateLift1D": -0.35294117647058826,
      "activationRate": 0,
      "activationCount": 0,
      "baselineHitRates": {
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        "5": 0.3076923076923077,
        "10": 0
      },
      "sampleConfidence": 0.25,
      "shadowSharpeLike": 0,
      "avgForwardReturns": {
        "1": 0,
        "5": 0,
        "10": 0
      },
      "shadowMaxDrawdown": 0,
      "shadowTotalReturn": 0,
      "avgForwardReturn1D": 0,
      "riskOffActivations": 0,
      "activationDatesSample": [],
      "horizonObservationCounts": {
        "1": 0,
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      },
      "baselineAvgForwardReturns": {
        "1": -0.008699562178845141,
        "5": -0.028096942600869146,
        "10": -0.050814225736800625
      }
    },
    {
      "topN": 3,
      "ticker": "CRM",
      "hitRates": {
        "1": 0,
        "5": 0,
        "10": 0
      },
      "hitRate1D": 0,
      "comboQuality": 0.091904404805206,
      "eligibleDays": 339,
      "fitnessScore": -0.1539321530061319,
      "lookbackDays": 21,
      "returnLift1D": 0.008699562178845141,
      "hitRateLift1D": -0.35294117647058826,
      "activationRate": 0,
      "activationCount": 0,
      "baselineHitRates": {
        "1": 0.35294117647058826,
        "5": 0.3076923076923077,
        "10": 0
      },
      "sampleConfidence": 0.25,
      "shadowSharpeLike": 0,
      "avgForwardReturns": {
        "1": 0,
        "5": 0,
        "10": 0
      },
      "shadowMaxDrawdown": 0,
      "shadowTotalReturn": 0,
      "avgForwardReturn1D": 0,
      "riskOffActivations": 0,
      "activationDatesSample": [],
      "horizonObservationCounts": {
        "1": 0,
        "5": 0,
        "10": 0
      },
      "baselineAvgForwardReturns": {
        "1": -0.008699562178845141,
        "5": -0.028096942600869146,
        "10": -0.050814225736800625
      }
    },
    {
      "topN": 4,
      "ticker": "CRM",
      "hitRates": {
        "1": 0,
        "5": 0,
        "10": 0
      },
      "hitRate1D": 0,
      "comboQuality": 0.091904404805206,
      "eligibleDays": 339,
      "fitnessScore": -0.1539321530061319,
      "lookbackDays": 21,
      "returnLift1D": 0.008699562178845141,
      "hitRateLift1D": -0.35294117647058826,
      "activationRate": 0,
      "activationCount": 0,
      "baselineHitRates": {
        "1": 0.35294117647058826,
        "5": 0.3076923076923077,
        "10": 0
      },
      "sampleConfidence": 0.25,
      "shadowSharpeLike": 0,
      "avgForwardReturns": {
        "1": 0,
        "5": 0,
        "10": 0
      },
      "shadowMaxDrawdown": 0,
      "shadowTotalReturn": 0,
      "avgForwardReturn1D": 0,
      "riskOffActivations": 0,
      "activationDatesSample": [],
      "horizonObservationCounts": {
        "1": 0,
        "5": 0,
        "10": 0
      },
      "baselineAvgForwardReturns": {
        "1": -0.008699562178845141,
        "5": -0.028096942600869146,
        "10": -0.050814225736800625
      }
    },
    {
      "topN": 5,
      "ticker": "CRM",
      "hitRates": {
        "1": 0,
        "5": 0,
        "10": 0
      },
      "hitRate1D": 0,
      "comboQuality": 0.091904404805206,
      "eligibleDays": 339,
      "fitnessScore": -0.1539321530061319,
      "lookbackDays": 21,
      "returnLift1D": 0.008699562178845141,
      "hitRateLift1D": -0.35294117647058826,
      "activationRate": 0,
      "activationCount": 0,
      "baselineHitRates": {
        "1": 0.35294117647058826,
        "5": 0.3076923076923077,
        "10": 0
      },
      "sampleConfidence": 0.25,
      "shadowSharpeLike": 0,
      "avgForwardReturns": {
        "1": 0,
        "5": 0,
        "10": 0
      },
      "shadowMaxDrawdown": 0,
      "shadowTotalReturn": 0,
      "avgForwardReturn1D": 0,
      "riskOffActivations": 0,
      "activationDatesSample": [],
      "horizonObservationCounts": {
        "1": 0,
        "5": 0,
        "10": 0
      },
      "baselineAvgForwardReturns": {
        "1": -0.008699562178845141,
        "5": -0.028096942600869146,
        "10": -0.050814225736800625
      }
    },
    {
      "topN": 2,
      "ticker": "CRM",
      "hitRates": {
        "1": 0,
        "5": 0,
        "10": 0
      },
      "hitRate1D": 0,
      "comboQuality": 0.091904404805206,
      "eligibleDays": 330,
      "fitnessScore": -0.1539321530061319,
      "lookbackDays": 30,
      "returnLift1D": 0.008699562178845141,
      "hitRateLift1D": -0.35294117647058826,
      "activationRate": 0,
      "activationCount": 0,
      "baselineHitRates": {
        "1": 0.35294117647058826,
        "5": 0.3076923076923077,
        "10": 0
      },
      "sampleConfidence": 0.25,
      "shadowSharpeLike": 0,
      "avgForwardReturns": {
        "1": 0,
        "5": 0,
        "10": 0
      },
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      "shadowMaxDrawdown": 0,
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      "baselineAvgForwardReturns": {
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    {
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      "shadowMaxDrawdown": 0,
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      "baselineAvgForwardReturns": {
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    },
    {
      "topN": 4,
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      "hitRate1D": 0,
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      "activationRate": 0,
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      "sampleConfidence": 0.25,
      "shadowSharpeLike": 0,
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      "shadowMaxDrawdown": 0,
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      "baselineAvgForwardReturns": {
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    },
    {
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      "shadowMaxDrawdown": 0,
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    },
    {
      "topN": 2,
      "ticker": "CRM",
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      "shadowMaxDrawdown": 0,
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    },
    {
      "topN": 3,
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      "shadowMaxDrawdown": 0,
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    },
    {
      "topN": 4,
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      "hitRate1D": 0,
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    },
    {
      "topN": 5,
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      },
      "hitRate1D": 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."
  },
  "lookbackSummary": [
    {
      "bestTopN": 2,
      "comboQuality": 0.091904404805206,
      "fitnessScore": -0.1539321530061319,
      "lookbackDays": 14,
      "returnLift1D": 0.008699562178845141,
      "activationRate": 0,
      "activationCount": 0,
      "sampleConfidence": 0.25,
      "shadowTotalReturn": 0,
      "avgForwardReturn1D": 0
    },
    {
      "bestTopN": 2,
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      "fitnessScore": -0.1539321530061319,
      "lookbackDays": 21,
      "returnLift1D": 0.008699562178845141,
      "activationRate": 0,
      "activationCount": 0,
      "sampleConfidence": 0.25,
      "shadowTotalReturn": 0,
      "avgForwardReturn1D": 0
    },
    {
      "bestTopN": 2,
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      "fitnessScore": -0.1539321530061319,
      "lookbackDays": 30,
      "returnLift1D": 0.008699562178845141,
      "activationRate": 0,
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      "sampleConfidence": 0.25,
      "shadowTotalReturn": 0,
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    },
    {
      "bestTopN": 2,
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      "fitnessScore": -0.1539321530061319,
      "lookbackDays": 45,
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      "activationRate": 0,
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      "shadowTotalReturn": 0,
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    },
    {
      "bestTopN": 2,
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      "lookbackDays": 63,
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      "activationRate": 0,
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      "shadowTotalReturn": 0,
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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."
  },
  "universeIdentity": {
    "hash": "198b7dffd2891c837f2268fed3621974d6e64b06c09e147485e030b4021623cf",
    "size": 13,
    "members": [
      "CRM",
      "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."
}
As Of
2026-07-25
Beta To Benchmark 1y
-
Correlation To Benchmark 1y
-
Drawdown Score 1m
-
Drawdown Score 1w
-
Drawdown Score 1y
-
Drawdown Score 2w
-
Drawdown Score 2y
-
Drawdown Score 3m
-
Drawdown Score 5y
-
Drawdown Score 6m
-
Force Fitness
{
  "config": {
    "weights": [
      0.4,
      0.3,
      0.2,
      0.1
    ],
    "universe": [
      "XLK",
      "XLF",
      "XLV",
      "XLY",
      "XLI",
      "XLP",
      "XLE",
      "XLB",
      "XLU",
      "XLRE",
      "XLC",
      "SMH",
      "CRM"
    ],
    "lookbacks": [
      14,
      21,
      30,
      45,
      63
    ],
    "forwardDays": [
      1,
      5,
      10
    ],
    "portfolioSizes": [
      2,
      3,
      4,
      5
    ],
    "safetyNetEquity": "VOO"
  },
  "ticker": "CRM",
  "fitScope": "universe_conditioned",
  "algorithm": "force",
  "bestCombo": {
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    "hitRates": {
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    "hitRate1D": 0.5454545454545454,
    "rankWeights": [
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      0.30000000000000004,
      0.20000000000000004,
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    "comboQuality": 0.07153200175964479,
    "eligibleDays": 326,
    "fitnessScore": -0.21394601724755669,
    "lookbackDays": 63,
    "returnLift1D": -0.0038693416671120627,
    "hitRateLift1D": 0.06385945343000554,
    "portfolioSize": 4,
    "activationRate": 0.06748466257668712,
    "activationCount": 22,
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    "sampleConfidence": 1,
    "shadowSharpeLike": -1.0778183132691863,
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    "shadowMaxDrawdown": -0.13472814765241292,
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    "riskOffActivations": 0,
    "activationDatesSample": [
      "2025-12-09",
      "2025-12-10",
      "2025-12-11",
      "2025-12-12",
      "2025-12-15",
      "2025-12-16",
      "2025-12-17",
      "2025-12-18",
      "2025-12-19",
      "2025-12-22"
    ],
    "horizonObservationCounts": {
      "1": 22,
      "5": 22,
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    "baselineAvgForwardReturns": {
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  },
  "dateRange": {
    "end": "2026-07-25",
    "start": "2025-01-01"
  },
  "scoreMode": "blended",
  "calibration": {
    "bestComboQuality": 0.07153200175964479,
    "comboQualityScale": 0.22,
    "comboQualityCenter": 0.35,
    "medianComboQuality": 0.013327418661096262,
    "bestRawFitnessScore": -0.21394601724755669,
    "upperQuartileComboQuality": 0.021631672084673297
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  "algorithmFit": {
    "label": "poor",
    "score": 0.1320102315486714,
    "rawScore": 0.1413382286654614,
    "confidence": 0.8680046126958506,
    "bestProfile": {
      "lookbackDays": 63,
      "portfolioSize": 4
    },
    "profileBreadth": 0,
    "recommendedRegion": {
      "lookbackDays": [
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        "2025-05-05",
        "2025-05-06",
        "2025-05-07",
        "2025-05-08",
        "2025-05-09",
        "2025-05-13",
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        "2025-12-18",
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        "2025-05-20",
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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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  ],
  "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": "198b7dffd2891c837f2268fed3621974d6e64b06c09e147485e030b4021623cf",
    "size": 13,
    "members": [
      "CRM",
      "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."
}
Inverse To Benchmark 1y
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Return 1m
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Return 1w
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Return 1y
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Return 2w
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Return 2y
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Return 3m
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Return 5y
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Return 6m
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Sharpe 1m
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Sharpe 1w
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Sharpe 1y
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Sharpe 2w
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Sharpe 2y
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Sharpe 3m
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Sharpe 5y
-
Sharpe 6m
-
Sharpe Score
-
Trend 1m
-
Trend 1w
-
Trend 1y
-
Trend 2w
-
Trend 2y
-
Trend 3m
-
Trend 5y
-
Trend 6m
-
Volatility 1m
-
Volatility 1w
-
Volatility 1y
-
Volatility 2w
-
Volatility 2y
-
Volatility 3m
-
Volatility 5y
-
Volatility 6m
-
Composite scores
Top-level ranking signals surfaced on the page.
10 fields
Cap
0.698
Liquidity
1
Momentum
0.428
Relative strength
0.220
Trend quality
0.429
Stability
0.475
Aggression
0.485
Downside risk
0.426
Drawdown state
0.292
Quality momentum
0.376
Vector snapshot
Feature coverage: 100%
Normalized features
Bounded [0,1] features used for ranking and clustering.
81 fields
Inverse To Benchmark 1y
0.855
Benchmark Independence 3m Score
0.961
Beta 1y Profile Score
0.181
Beta 3m Profile Score
0
Beta Change Score
0.198
Correlation Change Score
0.408
Current Drawdown Score
0.126
Days Since 52w High Score
0.984
Distance From 52w High Score
0.362
Distance From Sma 20 Score
0.422
Distance From Sma 200 Score
0.103
Distance From Sma 50 Score
0.371
Downside Volatility 1m Score
0.366
Downside Volatility 1y Score
0.473
Downside Volatility 2y Score
0.413
Downside Volatility 3m Score
0.503
Downside Volatility 5y Score
0.440
Downside Volatility 6m Score
0.514
Drawdown Recovery Score
0.552
Excess Return 1m Score
0.528
Excess Return 1y Score
0
Excess Return 3m Score
0.147
Excess Return 6m Score
0
Expected Shortfall 95 1y Score
0.447
Log Avg Dollar Volume 20d Score
1
Log Market Cap Score
0.698
Drawdown Score 1m
0.612
Drawdown Score 1y
0.323
Drawdown Score 2y
0.267
Drawdown Score 3m
0.295
Drawdown Score 5y
0.413
Drawdown Score 6m
0.378
Momentum Acceleration 1m Vs 3m Score
0.766
Momentum Acceleration 3m Vs 6m Score
0.470
Moving Average Alignment Score
0
Relative Strength Acceleration Score
0.905
Relative Strength Slope 3m Score
0.328
Relative Volume 20d Score
0.208
Return 1m Score
0.538
Return 1w Score
0.196
Return 1y Score
0.250
Return 2y Score
0.184
Return 3m Score
0.286
Return 5y Score
0.052
Return 6m Score
0.260
Return Skewness 1y Score
0.514
Sector Excess Return 1y Score
0
Sharpe 1m Score
0.566
Sharpe 1y Score
0.183
Sharpe 2y Score
0.315
Sharpe 3m Score
0.150
Sharpe 5y Score
0.395
Sharpe 6m Score
0.150
Sortino 1m Score
0.513
Sortino 1y Score
0.242
Sortino 2y Score
0.321
Sortino 3m Score
0.192
Sortino 5y Score
0.372
Sortino 6m Score
0.210
Trend R2 1m Score
0.440
Trend R2 1w Score
0.743
Trend R2 1y Score
0.787
Trend R2 2y Score
0.644
Trend R2 3m Score
0.316
Trend R2 5y Score
0.053
Trend R2 6m Score
0.611
Trend Slope 1m Score
0.768
Trend Slope 1w Score
0
Trend Slope 1y Score
0.372
Trend Slope 2y Score
0.430
Trend Slope 3m Score
0.369
Trend Slope 5y Score
0.509
Trend Slope 6m Score
0.382
Volatility 1m Score
0.509
Volatility 1w Score
0.436
Volatility 1y Score
0.463
Volatility 2y Score
0.417
Volatility 3m Score
0.601
Volatility 5y Score
0.432
Volatility 6m Score
0.546
Worst Day 1y Score
0.565
Raw values
Underlying economic values before normalization.
89 fields
Avg Dollar Volume 20d
2,084,959,355.62
Best Day 1y
0.097
Beta To Benchmark 1y
0.453
Beta 3m
-0.151
Beta Change
-0.604
Beta To Sector 1y
0.218
Correlation To Benchmark 1y
0.145
Correlation 3m
-0.039
Correlation Change
-0.184
Correlation To Sector 1y
0.136
Cluster features
The subset used for clustering and coverage calculations.
40 fields
Inverse To Benchmark 1y
0.855
Benchmark Independence 3m Score
0.961
Beta 1y Profile Score
0.181
Beta 3m Profile Score
0
Beta Change Score
0.198
Correlation Change Score
0.408
Current Drawdown Score
0.126
Distance From Sma 20 Score
0.422
Distance From Sma 200 Score
0.103
Current Drawdown
-0.568
Days Since 52w High
248
Distance From 52w High
-0.414
Distance From Sma 20
-0.047
Distance From Sma 200
-0.238
Distance From Sma 50
-0.078
Downside Capture 1y
0.900
Downside Volatility 1m
0.325
Downside Volatility 1w
-
Downside Volatility 1y
0.405
Downside Volatility 2y
0.360
Downside Volatility 3m
0.427
Downside Volatility 5y
0.380
Downside Volatility 6m
0.436
Drawdown Recovery
0.103
Excess Return 1m
0.017
Excess Return 1y
-0.586
Excess Return 3m
-0.212
Excess Return 6m
-0.371
Expected Shortfall 95 1y
-0.055
Market Cap
134,037,540,000
Max Drawdown 1m
-0.097
Max Drawdown 1w
-0.097
Max Drawdown 1y
-0.440
Max Drawdown 2y
-0.587
Max Drawdown 3m
-0.282
Max Drawdown 5y
-0.587
Max Drawdown 6m
-0.342
Momentum Acceleration 1m Vs 3m
0.080
Momentum Acceleration 3m Vs 6m
-0.009
Moving Average Alignment
-1
Relative Strength Acceleration
0.006
Relative Strength Slope 3m
-0.003
Relative Volume 20d
0.861
Return 1m
0.023
Return 1w
-0.091
Return 1y
-0.400
Return 2y
-0.356
Return 3m
-0.171
Return 5y
-0.328
Return 6m
-0.288
Return Skewness 1y
0.087
Sector Excess Return 1y
-0.786
Sharpe 1m
0.832
Sharpe 1y
-1.084
Sharpe 2y
-0.426
Sharpe 3m
-1.252
Sharpe 5y
-0.024
Sharpe 6m
-1.249
Sortino 1m
1.107
Sortino 1y
-1.065
Sortino 2y
-0.430
Sortino 3m
-1.467
Sortino 5y
-0.024
Sortino 6m
-1.318
Trend R2 1m
0.440
Trend R2 1w
0.743
Trend R2 1y
0.787
Trend R2 2y
0.644
Trend R2 3m
0.316
Trend R2 5y
0.053
Trend R2 6m
0.611
Trend 1m
0.004
Trend 1w
-0.018
Trend 1y
-0.002
Trend 2y
-0.001
Trend 3m
-0.002
Trend 5y
0.000
Trend 6m
-0.002
Upside Capture 1y
0.562
Value At Risk 95 1y
-0.041
Volatility 1m
0.432
Volatility 1w
0.377
Volatility 1y
0.397
Volatility 2y
0.363
Volatility 3m
0.501
Volatility 5y
0.374
Volatility 6m
0.460
Worst Day 1y
-0.087
Distance From Sma 50 Score
0.371
Downside Volatility 1y Score
0.473
Downside Volatility 3m Score
0.503
Drawdown Recovery Score
0.552
Excess Return 1m Score
0.528
Excess Return 1y Score
0
Excess Return 3m Score
0.147
Excess Return 6m Score
0
Expected Shortfall 95 1y Score
0.447
Log Avg Dollar Volume 20d Score
1
Log Market Cap Score
0.698
Drawdown Score 1y
0.323
Drawdown Score 5y
0.413
Momentum Acceleration 1m Vs 3m Score
0.766
Momentum Acceleration 3m Vs 6m Score
0.470
Moving Average Alignment Score
0
Relative Strength Acceleration Score
0.905
Relative Volume 20d Score
0.208
Return 1m Score
0.538
Return 1y Score
0.250
Return 3m Score
0.286
Return 6m Score
0.260
Return Skewness 1y Score
0.514
Sortino 1y Score
0.242
Sortino 3m Score
0.192
Trend R2 1y Score
0.787
Trend R2 3m Score
0.316
Trend Slope 1y Score
0.372
Trend Slope 3m Score
0.369
Volatility 1y Score
0.463
Volatility 3m Score
0.601