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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 251-300 of 355
Page 6 of 8
TickerSectorMomentumQualityStabilityLiquidityAptet FitForce FitCoverageUpdated
APHInformation Technology0.6250.5690.5831.0000.970 strong0.960 strong98%Jul 26, 12:31 AM
APGEHealth Care0.9650.8380.5040.9660.929 strong0.874 strong100%Jul 26, 12:30 AM
APGIndustrials0.4430.4280.6660.712
Ticker detail

QCLN

Unknown sector | v2 | as of 2026-07-23
Close

Research Detail

QCLN

First Trust NASDAQ Clean Edge Green Energy Index Fund

Category

Sector: Technology

Industry / Category: Clean Technology ETF

Market Cap / ETF Type: Clean Tech Equity ETF

Type: ETF

Preview Performance

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

Description

Clean technology ETF spanning EVs, renewables, storage, and electrification suppliers.

Mapped readout
Common labels resolved to the real Vector V2 storage keys.
36 fields
Beta To Benchmark 1y
2.272
Correlation To Benchmark 1y
0.728
Inverse To Benchmark 1y
0.272
Drawdown Score 1m
0.343
Drawdown Score 3m
0.371
0.834 strong
0.777 good
100%
Jul 26, 12:30 AM
APEIConsumer Staples0.6690.6520.6220.4010.789 good0.810 strong100%Jul 26, 12:30 AM
APDMaterials0.5660.4970.6320.8930.210 poor0.227 poor100%Jul 26, 12:29 AM
APAMFinancials0.5110.4550.6680.4860.250 poor0.241 poor100%Jul 26, 12:29 AM
APAEnergy0.4610.5110.5460.7670.732 good0.718 good100%Jul 26, 12:28 AM
AOSLInformation Technology0.6330.5580.2150.5090.696 good0.703 good100%Jul 26, 12:28 AM
AOSIndustrials0.4780.4200.5840.6850.135 poor0.141 poor100%Jul 26, 12:27 AM
AORTHealth Care0.4050.3690.3520.4300.659 good0.638 moderate100%Jul 26, 12:27 AM
AONFinancials0.5920.5180.6940.9200.085 poor0.113 poor100%Jul 26, 12:27 AM
ANIPHealth Care0.5380.4400.5400.4780.411 weak0.440 weak100%Jul 26, 12:26 AM
ANFConsumer Discretionary0.5590.3870.2890.6830.171 poor0.242 poor100%Jul 26, 12:26 AM
ANETInformation Technology0.6490.6110.4941.0000.704 good0.694 good98%Jul 26, 12:25 AM
ANDEConsumer Staples0.5690.6000.6760.4640.937 strong0.826 strong100%Jul 26, 12:25 AM
ANABHealth Care0.8880.8040.4750.5410.985 strong0.904 strong100%Jul 26, 12:24 AM
ANConsumer Discretionary0.4790.4150.6280.6360.393 weak0.350 poor100%Jul 26, 12:24 AM
AMSCIndustrials0.3940.3230.1620.5280.993 strong0.984 strong100%Jul 26, 12:24 AM
AMZNConsumer Discretionary0.4720.4460.5941.0000.277 poor0.272 poor100%Jul 26, 12:23 AM
AMRXHealth Care0.8000.7300.6810.5320.968 strong0.942 strong100%Jul 26, 12:23 AM
AMTReal Estate0.3930.3320.5810.9170.151 poor0.195 poor100%Jul 26, 12:23 AM
AMRCIndustrials0.4510.3250.1720.3890.935 strong0.924 strong100%Jul 26, 12:23 AM
AMRMaterials0.2500.2630.3190.5450.523 moderate0.529 moderate100%Jul 26, 12:22 AM
AMPXIndustrials0.2470.3530.2320.6700.990 strong0.986 strong100%Jul 26, 12:22 AM
AMPLInformation Technology0.7970.5660.2990.4340.069 poor0.130 poor100%Jul 26, 12:21 AM
AMPFinancials0.6330.5090.6480.8580.304 poor0.284 poor100%Jul 26, 12:21 AM
AMNHealth Care0.7300.7110.3100.5050.120 poor0.109 poor100%Jul 26, 12:20 AM
AMKRInformation Technology0.6420.6270.4410.9010.993 strong0.979 strong100%Jul 26, 12:20 AM
AMHReal Estate0.5470.5280.6570.6350.226 poor0.300 poor100%Jul 26, 12:19 AM
AMGNHealth Care0.6090.6040.7110.9730.116 poor0.243 poor100%Jul 26, 12:19 AM
AMGFinancials0.7000.6950.7030.6780.915 strong0.907 strong100%Jul 26, 12:18 AM
AMEIndustrials0.5440.5250.7600.8180.236 poor0.224 poor100%Jul 26, 12:18 AM
AMDInformation Technology0.7320.7440.4761.0000.155 poor0.998 strong100%Jul 26, 12:17 AM
AMCRConsumer Discretionary0.6110.4760.5660.7200.128 poor0.165 poor100%Jul 26, 12:17 AM
AMBAInformation Technology0.7560.5280.2060.7090.154 poor0.129 poor100%Jul 26, 12:16 AM
AMATInformation Technology0.6890.7150.5221.0000.136 poor0.996 strong100%Jul 26, 12:16 AM
AMEnergy0.5910.5940.7480.5890.407 weak0.467 weak100%Jul 26, 12:16 AM
ALVConsumer Discretionary0.4910.4040.6120.6410.640 moderate0.596 moderate100%Jul 26, 12:15 AM
ALSNConsumer Discretionary0.4650.4480.6650.7570.767 good0.727 good100%Jul 26, 12:15 AM
ALRMInformation Technology0.6480.5220.5580.4920.150 poor0.128 poor100%Jul 26, 12:15 AM
ALNYHealth Care0.3820.3520.4910.8870.122 poor0.472 weak100%Jul 26, 12:14 AM
ALNTInformation Technology0.7240.7000.5630.4910.980 strong0.976 strong100%Jul 26, 12:14 AM
ALMSHealth Care0.8560.6860.3970.5650.996 strong0.989 strong100%Jul 26, 12:14 AM
ALMMaterials0.5730.5310.3190.6720.993 strong0.999 strong100%Jul 26, 12:13 AM
ALLYFinancials0.5780.5210.6360.7130.537 moderate0.460 weak100%Jul 26, 12:12 AM
ALLEIndustrials0.5070.4550.6340.7490.655 good0.650 good100%Jul 26, 12:11 AM
ALLFinancials0.7160.6880.7290.8840.262 poor0.265 poor100%Jul 26, 12:11 AM
ALKTInformation Technology0.5870.4440.3830.5270.094 poor0.089 poor100%Jul 26, 12:11 AM
ALKSHealth Care0.8450.8120.6160.7110.756 good0.691 good100%Jul 26, 12:10 AM
ALKIndustrials0.6530.5060.3990.7400.375 weak0.418 weak100%Jul 26, 12:10 AM
PreviousPage 6 of 8Next
Drawdown Score 6m
0.543
Drawdown Score 1y
0.613
Drawdown Score 2y
0.576
Drawdown Score 5y
0.305
Return 1w
-0.011
Return 1m
-0.156
Return 3m
-0.081
Return 6m
0.029
Return 1y
0.384
Return 2y
0.399
Return 5y
-0.163
Sharpe 1m
-3.800
Sharpe 3m
-0.396
Sharpe 6m
0.354
Sharpe 1y
1.018
Sharpe 2y
0.631
Sharpe 5y
0.102
Trend 1w
0.000
Trend 1m
-0.008
Trend 3m
-0.001
Trend 6m
0.002
Trend 1y
0.002
Trend 2y
0.001
Trend 5y
-0.000
Volatility 1w
0.374
Volatility 1m
0.503
Volatility 3m
0.518
Volatility 6m
0.460
Volatility 1y
0.397
Volatility 2y
0.380
Volatility 5y
0.389
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
QCLN
Vector Name
stock_movement_v2
Vector Version
2
As Of Date
2026-07-23
Updated At
Jul 26, 1:58 AM
Benchmark
SPY
Benchmark Ticker
SPY
Sector Name
-
Sector Benchmark Ticker
-
Feature Coverage Ratio
98%
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
log_market_cap_score
Aptet Fit Score
0.165
Aptet Fit Raw Score
0.270
Aptet Fit Confidence
0.221
Aptet Fit Label
poor
Aptet Fitness Error
-
Force Fit Score
0.848
Force Fit Raw Score
0.866
Force Fit Confidence
0.957
Force Fit Label
strong
Force Fitness Error
-
Stock Fitness Updated At
Jul 26, 1:58 AM
Aptet Fitness
{
  "config": {
    "topNs": [
      2,
      3,
      4,
      5
    ],
    "universe": [
      "XLK",
      "XLF",
      "XLV",
      "XLY",
      "XLI",
      "XLP",
      "XLE",
      "XLB",
      "XLU",
      "XLRE",
      "XLC",
      "SMH",
      "QCLN"
    ],
    "lookbacks": [
      14,
      21,
      30,
      45,
      63
    ],
    "forwardDays": [
      1,
      5,
      10
    ],
    "maxHoldings": 5,
    "minHoldings": 2,
    "fallbackTicker": "VOO",
    "riskOffEnabled": true,
    "adaptationSpeed": "balanced",
    "benchmarkTicker": "VOO"
  },
  "ticker": "QCLN",
  "fitScope": "universe_conditioned",
  "algorithm": "aptet",
  "bestCombo": {
    "topN": 2,
    "ticker": "QCLN",
    "hitRates": {
      "1": 0,
      "5": 0,
      "10": 0
    },
    "hitRate1D": 0,
    "comboQuality": 0.08808937640865477,
    "eligibleDays": 352,
    "fitnessScore": -0.164181809845575,
    "lookbackDays": 14,
    "returnLift1D": 0.0037300315900242404,
    "hitRateLift1D": -0.43478260869565216,
    "activationRate": 0,
    "activationCount": 0,
    "baselineHitRates": {
      "1": 0.43478260869565216,
      "5": 0.42105263157894735,
      "10": 0.14285714285714285
    },
    "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": -0.0037300315900242404,
      "5": -0.026866519579917175,
      "10": -0.03213385643648041
    }
  },
  "dateRange": {
    "end": "2026-07-25",
    "start": "2025-01-01"
  },
  "scoreMode": "blended",
  "calibration": {
    "bestComboQuality": 0.08808937640865477,
    "comboQualityScale": 0.22,
    "comboQualityCenter": 0.35,
    "medianComboQuality": 0.08808937640865477,
    "bestRawFitnessScore": -0.164181809845575,
    "upperQuartileComboQuality": 0.08808937640865477
  },
  "algorithmFit": {
    "label": "poor",
    "score": 0.16506813559496714,
    "rawScore": 0.2704715011269238,
    "confidence": 0.22059540400528807,
    "bestProfile": {
      "topN": 2,
      "lookbackDays": 14
    },
    "profileBreadth": 0,
    "recommendedRegion": {
      "topNs": [
        2
      ],
      "lookbackDays": [
        14
      ]
    },
    "parameterStability": 1,
    "confidenceAdjustment": "conservative_penalty"
  },
  "rankedCombos": [
    {
      "topN": 2,
      "ticker": "QCLN",
      "hitRates": {
        "1": 0,
        "5": 0,
        "10": 0
      },
      "hitRate1D": 0,
      "comboQuality": 0.08808937640865477,
      "eligibleDays": 352,
      "fitnessScore": -0.164181809845575,
      "lookbackDays": 14,
      "returnLift1D": 0.0037300315900242404,
      "hitRateLift1D": -0.43478260869565216,
      "activationRate": 0,
      "activationCount": 0,
      "baselineHitRates": {
        "1": 0.43478260869565216,
        "5": 0.42105263157894735,
        "10": 0.14285714285714285
      },
      "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": -0.0037300315900242404,
        "5": -0.026866519579917175,
        "10": -0.03213385643648041
      }
    },
    {
      "topN": 3,
      "ticker": "QCLN",
      "hitRates": {
        "1": 0,
        "5": 0,
        "10": 0
      },
      "hitRate1D": 0,
      "comboQuality": 0.08808937640865477,
      "eligibleDays": 352,
      "fitnessScore": -0.164181809845575,
      "lookbackDays": 14,
      "returnLift1D": 0.0037300315900242404,
      "hitRateLift1D": -0.43478260869565216,
      "activationRate": 0,
      "activationCount": 0,
      "baselineHitRates": {
        "1": 0.43478260869565216,
        "5": 0.42105263157894735,
        "10": 0.14285714285714285
      },
      "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": -0.0037300315900242404,
        "5": -0.026866519579917175,
        "10": -0.03213385643648041
      }
    },
    {
      "topN": 2,
      "ticker": "QCLN",
      "hitRates": {
        "1": 0,
        "5": 0,
        "10": 0
      },
      "hitRate1D": 0,
      "comboQuality": 0.08808937640865477,
      "eligibleDays": 339,
      "fitnessScore": -0.164181809845575,
      "lookbackDays": 21,
      "returnLift1D": 0.0037300315900242404,
      "hitRateLift1D": -0.43478260869565216,
      "activationRate": 0,
      "activationCount": 0,
      "baselineHitRates": {
        "1": 0.43478260869565216,
        "5": 0.42105263157894735,
        "10": 0.14285714285714285
      },
      "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": -0.0037300315900242404,
        "5": -0.026866519579917175,
        "10": -0.03213385643648041
      }
    },
    {
      "topN": 3,
      "ticker": "QCLN",
      "hitRates": {
        "1": 0,
        "5": 0,
        "10": 0
      },
      "hitRate1D": 0,
      "comboQuality": 0.08808937640865477,
      "eligibleDays": 339,
      "fitnessScore": -0.164181809845575,
      "lookbackDays": 21,
      "returnLift1D": 0.0037300315900242404,
      "hitRateLift1D": -0.43478260869565216,
      "activationRate": 0,
      "activationCount": 0,
      "baselineHitRates": {
        "1": 0.43478260869565216,
        "5": 0.42105263157894735,
        "10": 0.14285714285714285
      },
      "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": -0.0037300315900242404,
        "5": -0.026866519579917175,
        "10": -0.03213385643648041
      }
    },
    {
      "topN": 4,
      "ticker": "QCLN",
      "hitRates": {
        "1": 0,
        "5": 0,
        "10": 0
      },
      "hitRate1D": 0,
      "comboQuality": 0.08808937640865477,
      "eligibleDays": 339,
      "fitnessScore": -0.164181809845575,
      "lookbackDays": 21,
      "returnLift1D": 0.0037300315900242404,
      "hitRateLift1D": -0.43478260869565216,
      "activationRate": 0,
      "activationCount": 0,
      "baselineHitRates": {
        "1": 0.43478260869565216,
        "5": 0.42105263157894735,
        "10": 0.14285714285714285
      },
      "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": -0.0037300315900242404,
        "5": -0.026866519579917175,
        "10": -0.03213385643648041
      }
    },
    {
      "topN": 5,
      "ticker": "QCLN",
      "hitRates": {
        "1": 0,
        "5": 0,
        "10": 0
      },
      "hitRate1D": 0,
      "comboQuality": 0.08808937640865477,
      "eligibleDays": 339,
      "fitnessScore": -0.164181809845575,
      "lookbackDays": 21,
      "returnLift1D": 0.0037300315900242404,
      "hitRateLift1D": -0.43478260869565216,
      "activationRate": 0,
      "activationCount": 0,
      "baselineHitRates": {
        "1": 0.43478260869565216,
        "5": 0.42105263157894735,
        "10": 0.14285714285714285
      },
      "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": -0.0037300315900242404,
        "5": -0.026866519579917175,
        "10": -0.03213385643648041
      }
    },
    {
      "topN": 2,
      "ticker": "QCLN",
      "hitRates": {
        "1": 0,
        "5": 0,
        "10": 0
      },
      "hitRate1D": 0,
      "comboQuality": 0.08808937640865477,
      "eligibleDays": 330,
      "fitnessScore": -0.164181809845575,
      "lookbackDays": 30,
      "returnLift1D": 0.0037300315900242404,
      "hitRateLift1D": -0.43478260869565216,
      "activationRate": 0,
      "activationCount": 0,
      "baselineHitRates": {
        "1": 0.43478260869565216,
        "5": 0.42105263157894735,
        "10": 0.14285714285714285
      },
      "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": -0.0037300315900242404,
        "5": -0.026866519579917175,
        "10": -0.03213385643648041
      }
    },
    {
      "topN": 3,
      "ticker": "QCLN",
      "hitRates": {
        "1": 0,
        "5": 0,
        "10": 0
      },
      "hitRate1D": 0,
      "comboQuality": 0.08808937640865477,
      "eligibleDays": 330,
      "fitnessScore": -0.164181809845575,
      "lookbackDays": 30,
      "returnLift1D": 0.0037300315900242404,
      "hitRateLift1D": -0.43478260869565216,
      "activationRate": 0,
      "activationCount": 0,
      "baselineHitRates": {
        "1": 0.43478260869565216,
        "5": 0.42105263157894735,
        "10": 0.14285714285714285
      },
      "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": -0.0037300315900242404,
        "5": -0.026866519579917175,
        "10": -0.03213385643648041
      }
    },
    {
      "topN": 4,
      "ticker": "QCLN",
      "hitRates": {
        "1": 0,
        "5": 0,
        "10": 0
      },
      "hitRate1D": 0,
      "comboQuality": 0.08808937640865477,
      "eligibleDays": 330,
      "fitnessScore": -0.164181809845575,
      "lookbackDays": 30,
      "returnLift1D": 0.0037300315900242404,
      "hitRateLift1D": -0.43478260869565216,
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      "baselineAvgForwardReturns": {
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    },
    {
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    {
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    },
    {
      "topN": 5,
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      "hitRate1D": 0,
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    },
    {
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      "hitRate1D": 0,
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      "shadowMaxDrawdown": -0.031716091463414586,
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      "riskOffActivations": 0,
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      "horizonObservationCounts": {
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      "baselineAvgForwardReturns": {
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    {
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      "hitRate1D": 0,
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      "horizonObservationCounts": {
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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": 0.08808937640865477,
      "fitnessScore": -0.164181809845575,
      "lookbackDays": 14,
      "returnLift1D": 0.0037300315900242404,
      "activationRate": 0,
      "activationCount": 0,
      "sampleConfidence": 0.25,
      "shadowTotalReturn": 0,
      "avgForwardReturn1D": 0
    },
    {
      "bestTopN": 2,
      "comboQuality": 0.08808937640865477,
      "fitnessScore": -0.164181809845575,
      "lookbackDays": 21,
      "returnLift1D": 0.0037300315900242404,
      "activationRate": 0,
      "activationCount": 0,
      "sampleConfidence": 0.25,
      "shadowTotalReturn": 0,
      "avgForwardReturn1D": 0
    },
    {
      "bestTopN": 2,
      "comboQuality": 0.08808937640865477,
      "fitnessScore": -0.164181809845575,
      "lookbackDays": 30,
      "returnLift1D": 0.0037300315900242404,
      "activationRate": 0,
      "activationCount": 0,
      "sampleConfidence": 0.25,
      "shadowTotalReturn": 0,
      "avgForwardReturn1D": 0
    },
    {
      "bestTopN": 2,
      "comboQuality": 0.08808937640865477,
      "fitnessScore": -0.164181809845575,
      "lookbackDays": 45,
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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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      "lookbackDays": 63,
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      "activationRate": 0,
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      "shadowTotalReturn": 0,
      "avgForwardReturn1D": 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": "558173d1daab8deb417edce5dda5c4d612d089239e4233a6ea089eca74b53b1b",
    "size": 13,
    "members": [
      "QCLN",
      "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",
      "QCLN"
    ],
    "lookbacks": [
      14,
      21,
      30,
      45,
      63
    ],
    "forwardDays": [
      1,
      5,
      10
    ],
    "portfolioSizes": [
      2,
      3,
      4,
      5
    ],
    "safetyNetEquity": "VOO"
  },
  "ticker": "QCLN",
  "fitScope": "universe_conditioned",
  "algorithm": "force",
  "bestCombo": {
    "topN": 4,
    "ticker": "QCLN",
    "hitRates": {
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    "hitRate1D": 0.5865921787709497,
    "rankWeights": [
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    "comboQuality": 0.9729356346746184,
    "eligibleDays": 368,
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    "lookbackDays": 21,
    "returnLift1D": 0.0016428312304294865,
    "hitRateLift1D": 0.03224435268399317,
    "portfolioSize": 4,
    "activationRate": 0.48641304347826086,
    "activationCount": 179,
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    "sampleConfidence": 1,
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    "shadowTotalReturn": 0.6613895268687906,
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    "riskOffActivations": 0,
    "activationDatesSample": [
      "2025-04-01",
      "2025-05-08",
      "2025-05-12",
      "2025-05-13",
      "2025-05-14",
      "2025-05-15",
      "2025-05-16",
      "2025-05-19",
      "2025-05-20",
      "2025-05-21"
    ],
    "horizonObservationCounts": {
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    "scoreMeaning": "The effective fit score after applying the conservative confidence penalty.",
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    "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.",
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    "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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      "QCLN",
      "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
-
Return 1m
-
Return 1w
-
Return 1y
-
Return 2w
-
Return 2y
-
Return 3m
-
Return 5y
-
Return 6m
-
Sharpe 1m
-
Sharpe 1w
-
Sharpe 1y
-
Sharpe 2w
-
Sharpe 2y
-
Sharpe 3m
-
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.
9 fields
Liquidity
0.376
Momentum
0.371
Relative strength
0.384
Trend quality
0.472
Stability
0.552
Aggression
0.558
Downside risk
0.473
Drawdown state
0.656
Quality momentum
0.420
Vector snapshot
Feature coverage: 98%
Normalized features
Bounded [0,1] features used for ranking and clustering.
79 fields
Inverse To Benchmark 1y
0.272
Benchmark Independence 3m Score
0.225
Beta 1y Profile Score
0.909
Beta 3m Profile Score
1
Beta Change Score
0.899
Correlation Change Score
0.524
Current Drawdown Score
0.381
Days Since 52w High Score
0.139
Distance From 52w High Score
0.621
Distance From Sma 20 Score
0.380
Distance From Sma 200 Score
0.513
Distance From Sma 50 Score
0.268
Downside Volatility 1m Score
0.651
Downside Volatility 1y Score
0.492
Downside Volatility 2y Score
0.449
Downside Volatility 3m Score
0.661
Downside Volatility 5y Score
0.442
Downside Volatility 6m Score
0.601
Drawdown Recovery Score
1
Excess Return 1m Score
0.229
Excess Return 1y Score
0.828
Excess Return 3m Score
0.297
Excess Return 6m Score
0.411
Expected Shortfall 95 1y Score
0.462
Log Avg Dollar Volume 20d Score
0.376
Drawdown Score 1m
0.343
Drawdown Score 1y
0.613
Drawdown Score 2y
0.576
Drawdown Score 3m
0.371
Drawdown Score 5y
0.305
Drawdown Score 6m
0.543
Momentum Acceleration 1m Vs 3m Score
0.069
Momentum Acceleration 3m Vs 6m Score
0.394
Moving Average Alignment Score
0.500
Relative Strength Acceleration Score
0
Relative Strength Slope 3m Score
0.369
Relative Volume 20d Score
0.257
Return 1m Score
0.239
Return 1w Score
0.462
Return 1y Score
0.740
Return 2y Score
0.400
Return 3m Score
0.399
Return 5y Score
0.064
Return 6m Score
0.524
Return Skewness 1y Score
0.456
Sharpe 1m Score
0
Sharpe 1y Score
0.604
Sharpe 2y Score
0.526
Sharpe 3m Score
0.321
Sharpe 5y Score
0.420
Sharpe 6m Score
0.471
Sortino 1m Score
0
Sortino 1y Score
0.495
Sortino 2y Score
0.453
Sortino 3m Score
0.328
Sortino 5y Score
0.388
Sortino 6m Score
0.416
Trend R2 1m Score
0.863
Trend R2 1w Score
0.002
Trend R2 1y Score
0.817
Trend R2 2y Score
0.684
Trend R2 3m Score
0.141
Trend R2 5y Score
0.290
Trend R2 6m Score
0.430
Trend Slope 1m Score
0
Trend Slope 1w Score
0.521
Trend Slope 1y Score
0.627
Trend Slope 2y Score
0.582
Trend Slope 3m Score
0.409
Trend Slope 5y Score
0.476
Trend Slope 6m Score
0.627
Volatility 1m Score
0.604
Volatility 1w Score
0.432
Volatility 1y Score
0.462
Volatility 2y Score
0.440
Volatility 3m Score
0.624
Volatility 5y Score
0.451
Volatility 6m Score
0.546
Worst Day 1y Score
0.529
Raw values
Underlying economic values before normalization.
89 fields
Avg Dollar Volume 20d
13,447,374.733
Best Day 1y
0.079
Beta To Benchmark 1y
2.272
Beta 3m
3.069
Beta Change
0.797
Beta To Sector 1y
-
Correlation To Benchmark 1y
0.728
Correlation 3m
0.775
Correlation Change
0.047
Correlation To Sector 1y
-
Cluster features
The subset used for clustering and coverage calculations.
39 fields
Inverse To Benchmark 1y
0.272
Benchmark Independence 3m Score
0.225
Beta 1y Profile Score
0.909
Beta 3m Profile Score
1
Beta Change Score
0.899
Correlation Change Score
0.524
Current Drawdown Score
0.381
Distance From Sma 20 Score
0.380
Distance From Sma 200 Score
0.513
Current Drawdown
-0.402
Days Since 52w High
35
Distance From 52w High
-0.246
Distance From Sma 20
-0.072
Distance From Sma 200
0.008
Distance From Sma 50
-0.139
Downside Capture 1y
0.368
Downside Volatility 1m
0.538
Downside Volatility 1w
-
Downside Volatility 1y
0.419
Downside Volatility 2y
0.386
Downside Volatility 3m
0.546
Downside Volatility 5y
0.381
Downside Volatility 6m
0.501
Drawdown Recovery
1
Excess Return 1m
-0.163
Excess Return 1y
0.197
Excess Return 3m
-0.122
Excess Return 6m
-0.054
Expected Shortfall 95 1y
-0.054
Market Cap
-
Max Drawdown 1m
-0.164
Max Drawdown 1w
-0.028
Max Drawdown 1y
-0.251
Max Drawdown 2y
-0.339
Max Drawdown 3m
-0.251
Max Drawdown 5y
-0.695
Max Drawdown 6m
-0.251
Momentum Acceleration 1m Vs 3m
-0.129
Momentum Acceleration 3m Vs 6m
-0.032
Moving Average Alignment
0
Relative Strength Acceleration
-0.010
Relative Strength Slope 3m
-0.002
Relative Volume 20d
0.993
Return 1m
-0.156
Return 1w
-0.011
Return 1y
0.384
Return 2y
0.399
Return 3m
-0.081
Return 5y
-0.163
Return 6m
0.029
Return Skewness 1y
-0.264
Sector Excess Return 1y
-
Sharpe 1m
-3.800
Sharpe 1y
1.018
Sharpe 2y
0.631
Sharpe 3m
-0.396
Sharpe 5y
0.102
Sharpe 6m
0.354
Sortino 1m
-3.553
Sortino 1y
0.963
Sortino 2y
0.620
Sortino 3m
-0.376
Sortino 5y
0.104
Sortino 6m
0.325
Trend R2 1m
0.863
Trend R2 1w
0.002
Trend R2 1y
0.817
Trend R2 2y
0.684
Trend R2 3m
0.141
Trend R2 5y
0.290
Trend R2 6m
0.430
Trend 1m
-0.008
Trend 1w
0.000
Trend 1y
0.002
Trend 2y
0.001
Trend 3m
-0.001
Trend 5y
-0.000
Trend 6m
0.002
Upside Capture 1y
3.172
Value At Risk 95 1y
-0.042
Volatility 1m
0.503
Volatility 1w
0.374
Volatility 1y
0.397
Volatility 2y
0.380
Volatility 3m
0.518
Volatility 5y
0.389
Volatility 6m
0.460
Worst Day 1y
-0.094
Distance From Sma 50 Score
0.268
Downside Volatility 1y Score
0.492
Downside Volatility 3m Score
0.661
Drawdown Recovery Score
1
Excess Return 1m Score
0.229
Excess Return 1y Score
0.828
Excess Return 3m Score
0.297
Excess Return 6m Score
0.411
Expected Shortfall 95 1y Score
0.462
Log Avg Dollar Volume 20d Score
0.376
Drawdown Score 1y
0.613
Drawdown Score 5y
0.305
Momentum Acceleration 1m Vs 3m Score
0.069
Momentum Acceleration 3m Vs 6m Score
0.394
Moving Average Alignment Score
0.500
Relative Strength Acceleration Score
0
Relative Volume 20d Score
0.257
Return 1m Score
0.239
Return 1y Score
0.740
Return 3m Score
0.399
Return 6m Score
0.524
Return Skewness 1y Score
0.456
Sortino 1y Score
0.495
Sortino 3m Score
0.328
Trend R2 1y Score
0.817
Trend R2 3m Score
0.141
Trend Slope 1y Score
0.627
Trend Slope 3m Score
0.409
Volatility 1y Score
0.462
Volatility 3m Score
0.624