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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

TECL

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

Research Detail

TECL

Direxion Daily Technology Bull 3X Shares

Category

Sector: Technology

Industry / Category: Leveraged Technology ETF

Market Cap / ETF Type: 3x Leveraged Technology ETF

Type: Leveraged ETF

Preview Performance

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

Description

Triple-leveraged technology ETF aimed at aggressive sector momentum trading.

Mapped readout
Common labels resolved to the real Vector V2 storage keys.
36 fields
Beta To Benchmark 1y
5.006
Correlation To Benchmark 1y
0.863
Inverse To Benchmark 1y
0.137
Drawdown Score 1m
0.079
Drawdown Score 3m
0.127
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
0.264
Drawdown Score 1y
0.283
Drawdown Score 2y
0.207
Drawdown Score 5y
0.220
Return 1w
0.012
Return 1m
-0.118
Return 3m
0.295
Return 6m
0.604
Return 1y
0.999
Return 2y
1.126
Return 5y
2.336
Sharpe 1m
-1.266
Sharpe 3m
1.542
Sharpe 6m
1.516
Sharpe 1y
1.313
Sharpe 2y
0.870
Sharpe 5y
0.697
Trend 1w
0.010
Trend 1m
-0.007
Trend 3m
0.004
Trend 6m
0.008
Trend 1y
0.003
Trend 2y
0.002
Trend 5y
0.001
Volatility 1w
0.751
Volatility 1m
0.887
Volatility 3m
0.993
Volatility 6m
0.882
Volatility 1y
0.737
Volatility 2y
0.811
Volatility 5y
0.761
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
TECL
Vector Name
stock_movement_v2
Vector Version
2
As Of Date
2026-07-23
Updated At
Jul 26, 2:05 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
0.167
Aptet Fit Raw Score
0.277
Aptet Fit Confidence
0.203
Aptet Fit Label
poor
Aptet Fitness Error
-
Force Fit Score
0.999
Force Fit Raw Score
1.000
Force Fit Confidence
0.999
Force Fit Label
strong
Force Fitness Error
-
Stock Fitness Updated At
Jul 26, 2:05 AM
Aptet Fitness
{
  "config": {
    "topNs": [
      2,
      3,
      4,
      5
    ],
    "universe": [
      "XLK",
      "XLF",
      "XLV",
      "XLY",
      "XLI",
      "XLP",
      "XLE",
      "XLB",
      "XLU",
      "XLRE",
      "XLC",
      "SMH",
      "TECL"
    ],
    "lookbacks": [
      14,
      21,
      30,
      45,
      63
    ],
    "forwardDays": [
      1,
      5,
      10
    ],
    "maxHoldings": 5,
    "minHoldings": 2,
    "fallbackTicker": "VOO",
    "riskOffEnabled": true,
    "adaptationSpeed": "balanced",
    "benchmarkTicker": "VOO"
  },
  "ticker": "TECL",
  "fitScope": "universe_conditioned",
  "algorithm": "aptet",
  "bestCombo": {
    "topN": 2,
    "ticker": "TECL",
    "hitRates": {
      "1": 0,
      "5": 0,
      "10": 0
    },
    "hitRate1D": 0,
    "comboQuality": 0.09612792439953473,
    "eligibleDays": 352,
    "fitnessScore": -0.14302175798528494,
    "lookbackDays": 14,
    "returnLift1D": 0.013989450673801255,
    "hitRateLift1D": -0.4117647058823529,
    "activationRate": 0,
    "activationCount": 0,
    "baselineHitRates": {
      "1": 0.4117647058823529,
      "5": 0.46153846153846156,
      "10": 0.5
    },
    "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": -0.013989450673801255,
      "5": -0.028088788813213236,
      "10": -0.008886324567718804
    }
  },
  "dateRange": {
    "end": "2026-07-25",
    "start": "2025-01-01"
  },
  "scoreMode": "blended",
  "calibration": {
    "bestComboQuality": 0.09612792439953473,
    "comboQualityScale": 0.22,
    "comboQualityCenter": 0.35,
    "medianComboQuality": 0.09612792439953473,
    "bestRawFitnessScore": -0.14302175798528494,
    "upperQuartileComboQuality": 0.09612792439953473
  },
  "algorithmFit": {
    "label": "poor",
    "score": 0.16657406361727609,
    "rawScore": 0.2769023395196278,
    "confidence": 0.203125,
    "bestProfile": {
      "topN": 2,
      "lookbackDays": 14
    },
    "profileBreadth": 0,
    "recommendedRegion": {
      "topNs": [
        2
      ],
      "lookbackDays": [
        14
      ]
    },
    "parameterStability": 1,
    "confidenceAdjustment": "conservative_penalty"
  },
  "rankedCombos": [
    {
      "topN": 2,
      "ticker": "TECL",
      "hitRates": {
        "1": 0,
        "5": 0,
        "10": 0
      },
      "hitRate1D": 0,
      "comboQuality": 0.09612792439953473,
      "eligibleDays": 352,
      "fitnessScore": -0.14302175798528494,
      "lookbackDays": 14,
      "returnLift1D": 0.013989450673801255,
      "hitRateLift1D": -0.4117647058823529,
      "activationRate": 0,
      "activationCount": 0,
      "baselineHitRates": {
        "1": 0.4117647058823529,
        "5": 0.46153846153846156,
        "10": 0.5
      },
      "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": -0.013989450673801255,
        "5": -0.028088788813213236,
        "10": -0.008886324567718804
      }
    },
    {
      "topN": 3,
      "ticker": "TECL",
      "hitRates": {
        "1": 0,
        "5": 0,
        "10": 0
      },
      "hitRate1D": 0,
      "comboQuality": 0.09612792439953473,
      "eligibleDays": 352,
      "fitnessScore": -0.14302175798528494,
      "lookbackDays": 14,
      "returnLift1D": 0.013989450673801255,
      "hitRateLift1D": -0.4117647058823529,
      "activationRate": 0,
      "activationCount": 0,
      "baselineHitRates": {
        "1": 0.4117647058823529,
        "5": 0.46153846153846156,
        "10": 0.5
      },
      "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": -0.013989450673801255,
        "5": -0.028088788813213236,
        "10": -0.008886324567718804
      }
    },
    {
      "topN": 4,
      "ticker": "TECL",
      "hitRates": {
        "1": 0,
        "5": 0,
        "10": 0
      },
      "hitRate1D": 0,
      "comboQuality": 0.09612792439953473,
      "eligibleDays": 352,
      "fitnessScore": -0.14302175798528494,
      "lookbackDays": 14,
      "returnLift1D": 0.013989450673801255,
      "hitRateLift1D": -0.4117647058823529,
      "activationRate": 0,
      "activationCount": 0,
      "baselineHitRates": {
        "1": 0.4117647058823529,
        "5": 0.46153846153846156,
        "10": 0.5
      },
      "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": -0.013989450673801255,
        "5": -0.028088788813213236,
        "10": -0.008886324567718804
      }
    },
    {
      "topN": 5,
      "ticker": "TECL",
      "hitRates": {
        "1": 0,
        "5": 0,
        "10": 0
      },
      "hitRate1D": 0,
      "comboQuality": 0.09612792439953473,
      "eligibleDays": 352,
      "fitnessScore": -0.14302175798528494,
      "lookbackDays": 14,
      "returnLift1D": 0.013989450673801255,
      "hitRateLift1D": -0.4117647058823529,
      "activationRate": 0,
      "activationCount": 0,
      "baselineHitRates": {
        "1": 0.4117647058823529,
        "5": 0.46153846153846156,
        "10": 0.5
      },
      "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": -0.013989450673801255,
        "5": -0.028088788813213236,
        "10": -0.008886324567718804
      }
    },
    {
      "topN": 2,
      "ticker": "TECL",
      "hitRates": {
        "1": 0,
        "5": 0,
        "10": 0
      },
      "hitRate1D": 0,
      "comboQuality": 0.09612792439953473,
      "eligibleDays": 339,
      "fitnessScore": -0.14302175798528494,
      "lookbackDays": 21,
      "returnLift1D": 0.013989450673801255,
      "hitRateLift1D": -0.4117647058823529,
      "activationRate": 0,
      "activationCount": 0,
      "baselineHitRates": {
        "1": 0.4117647058823529,
        "5": 0.46153846153846156,
        "10": 0.5
      },
      "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": -0.013989450673801255,
        "5": -0.028088788813213236,
        "10": -0.008886324567718804
      }
    },
    {
      "topN": 3,
      "ticker": "TECL",
      "hitRates": {
        "1": 0,
        "5": 0,
        "10": 0
      },
      "hitRate1D": 0,
      "comboQuality": 0.09612792439953473,
      "eligibleDays": 339,
      "fitnessScore": -0.14302175798528494,
      "lookbackDays": 21,
      "returnLift1D": 0.013989450673801255,
      "hitRateLift1D": -0.4117647058823529,
      "activationRate": 0,
      "activationCount": 0,
      "baselineHitRates": {
        "1": 0.4117647058823529,
        "5": 0.46153846153846156,
        "10": 0.5
      },
      "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": -0.013989450673801255,
        "5": -0.028088788813213236,
        "10": -0.008886324567718804
      }
    },
    {
      "topN": 4,
      "ticker": "TECL",
      "hitRates": {
        "1": 0,
        "5": 0,
        "10": 0
      },
      "hitRate1D": 0,
      "comboQuality": 0.09612792439953473,
      "eligibleDays": 339,
      "fitnessScore": -0.14302175798528494,
      "lookbackDays": 21,
      "returnLift1D": 0.013989450673801255,
      "hitRateLift1D": -0.4117647058823529,
      "activationRate": 0,
      "activationCount": 0,
      "baselineHitRates": {
        "1": 0.4117647058823529,
        "5": 0.46153846153846156,
        "10": 0.5
      },
      "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": -0.013989450673801255,
        "5": -0.028088788813213236,
        "10": -0.008886324567718804
      }
    },
    {
      "topN": 5,
      "ticker": "TECL",
      "hitRates": {
        "1": 0,
        "5": 0,
        "10": 0
      },
      "hitRate1D": 0,
      "comboQuality": 0.09612792439953473,
      "eligibleDays": 339,
      "fitnessScore": -0.14302175798528494,
      "lookbackDays": 21,
      "returnLift1D": 0.013989450673801255,
      "hitRateLift1D": -0.4117647058823529,
      "activationRate": 0,
      "activationCount": 0,
      "baselineHitRates": {
        "1": 0.4117647058823529,
        "5": 0.46153846153846156,
        "10": 0.5
      },
      "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": -0.013989450673801255,
        "5": -0.028088788813213236,
        "10": -0.008886324567718804
      }
    },
    {
      "topN": 2,
      "ticker": "TECL",
      "hitRates": {
        "1": 0,
        "5": 0,
        "10": 0
      },
      "hitRate1D": 0,
      "comboQuality": 0.09612792439953473,
      "eligibleDays": 330,
      "fitnessScore": -0.14302175798528494,
      "lookbackDays": 30,
      "returnLift1D": 0.013989450673801255,
      "hitRateLift1D": -0.4117647058823529,
      "activationRate": 0,
      "activationCount": 0,
      "baselineHitRates": {
        "1": 0.4117647058823529,
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      "shadowMaxDrawdown": 0,
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      "baselineAvgForwardReturns": {
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      "shadowMaxDrawdown": 0,
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      "baselineAvgForwardReturns": {
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    },
    {
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      },
      "hitRate1D": 0,
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      "shadowMaxDrawdown": 0,
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      "baselineAvgForwardReturns": {
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    },
    {
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    },
    {
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      "sampleConfidence": 0.25,
      "shadowSharpeLike": 0,
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      "shadowMaxDrawdown": 0,
      "shadowTotalReturn": 0,
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      "riskOffActivations": 0,
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      "baselineAvgForwardReturns": {
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    },
    {
      "topN": 4,
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      },
      "hitRate1D": 0,
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      "hitRateLift1D": -0.4117647058823529,
      "activationRate": 0,
      "activationCount": 0,
      "baselineHitRates": {
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      "sampleConfidence": 0.25,
      "shadowSharpeLike": 0,
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      "shadowMaxDrawdown": 0,
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      "baselineAvgForwardReturns": {
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    },
    {
      "topN": 5,
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      "hitRate1D": 0,
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      "sampleConfidence": 0.25,
      "shadowSharpeLike": 0,
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      "shadowMaxDrawdown": 0,
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      "activationDatesSample": [],
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      "baselineAvgForwardReturns": {
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    },
    {
      "topN": 2,
      "ticker": "TECL",
      "hitRates": {
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        "5": 0,
        "10": 0
      },
      "hitRate1D": 0,
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      "lookbackDays": 63,
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      "hitRateLift1D": -0.4117647058823529,
      "activationRate": 0,
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      "sampleConfidence": 0.25,
      "shadowSharpeLike": 0,
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      "shadowMaxDrawdown": 0,
      "shadowTotalReturn": 0,
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      "riskOffActivations": 0,
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      "baselineAvgForwardReturns": {
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    },
    {
      "topN": 3,
      "ticker": "TECL",
      "hitRates": {
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        "10": 0
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      "hitRate1D": 0,
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      "shadowSharpeLike": 0,
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      "shadowMaxDrawdown": 0,
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      "baselineAvgForwardReturns": {
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    },
    {
      "topN": 4,
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        "10": 0
      },
      "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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    },
    {
      "topN": 5,
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        "5": 0,
        "10": 0
      },
      "hitRate1D": 0,
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      "sampleConfidence": 0.25,
      "shadowSharpeLike": 0,
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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."
  },
  "lookbackSummary": [
    {
      "bestTopN": 2,
      "comboQuality": 0.09612792439953473,
      "fitnessScore": -0.14302175798528494,
      "lookbackDays": 14,
      "returnLift1D": 0.013989450673801255,
      "activationRate": 0,
      "activationCount": 0,
      "sampleConfidence": 0.25,
      "shadowTotalReturn": 0,
      "avgForwardReturn1D": 0
    },
    {
      "bestTopN": 2,
      "comboQuality": 0.09612792439953473,
      "fitnessScore": -0.14302175798528494,
      "lookbackDays": 21,
      "returnLift1D": 0.013989450673801255,
      "activationRate": 0,
      "activationCount": 0,
      "sampleConfidence": 0.25,
      "shadowTotalReturn": 0,
      "avgForwardReturn1D": 0
    },
    {
      "bestTopN": 2,
      "comboQuality": 0.09612792439953473,
      "fitnessScore": -0.14302175798528494,
      "lookbackDays": 30,
      "returnLift1D": 0.013989450673801255,
      "activationRate": 0,
      "activationCount": 0,
      "sampleConfidence": 0.25,
      "shadowTotalReturn": 0,
      "avgForwardReturn1D": 0
    },
    {
      "bestTopN": 2,
      "comboQuality": 0.09612792439953473,
      "fitnessScore": -0.14302175798528494,
      "lookbackDays": 45,
      "returnLift1D": 0.013989450673801255,
      "activationRate": 0,
      "activationCount": 0,
      "sampleConfidence": 0.25,
      "shadowTotalReturn": 0,
      "avgForwardReturn1D": 0
    },
    {
      "bestTopN": 2,
      "comboQuality": 0.09612792439953473,
      "fitnessScore": -0.14302175798528494,
      "lookbackDays": 63,
      "returnLift1D": 0.013989450673801255,
      "activationRate": 0,
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      "sampleConfidence": 0.25,
      "shadowTotalReturn": 0,
      "avgForwardReturn1D": 0
    }
  ],
  "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": "080c68a9400970749e28f7f389c6a6e97e9c90ad870d226ae81cfc9d79686f4c",
    "size": 13,
    "members": [
      "SMH",
      "TECL",
      "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",
      "TECL"
    ],
    "lookbacks": [
      14,
      21,
      30,
      45,
      63
    ],
    "forwardDays": [
      1,
      5,
      10
    ],
    "portfolioSizes": [
      2,
      3,
      4,
      5
    ],
    "safetyNetEquity": "VOO"
  },
  "ticker": "TECL",
  "fitScope": "universe_conditioned",
  "algorithm": "force",
  "bestCombo": {
    "topN": 3,
    "ticker": "TECL",
    "hitRates": {
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      "5": 0.6703910614525139,
      "10": 0.6536312849162011
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    "hitRate1D": 0.6145251396648045,
    "rankWeights": [
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      0.30000000000000004,
      0.20000000000000004
    ],
    "comboQuality": 0.9999766907734629,
    "eligibleDays": 359,
    "fitnessScore": 2.6966603550617605,
    "lookbackDays": 30,
    "returnLift1D": 0.004024225797133969,
    "hitRateLift1D": 0.012853830472603911,
    "portfolioSize": 3,
    "activationRate": 0.4986072423398329,
    "activationCount": 179,
    "baselineHitRates": {
      "1": 0.6016713091922006,
      "5": 0.5802816901408451,
      "10": 0.5571428571428572
    },
    "sampleConfidence": 1,
    "shadowSharpeLike": 1.8252281907385715,
    "avgForwardReturns": {
      "1": 0.007430164886719497,
      "5": 0.03001456411258924,
      "10": 0.05348787801992103
    },
    "shadowMaxDrawdown": -0.32286366758219776,
    "shadowTotalReturn": 2.1051802390096306,
    "avgForwardReturn1D": 0.007430164886719497,
    "riskOffActivations": 0,
    "activationDatesSample": [
      "2025-05-12",
      "2025-05-13",
      "2025-05-14",
      "2025-05-15",
      "2025-05-16",
      "2025-05-19",
      "2025-05-20",
      "2025-05-21",
      "2025-05-22",
      "2025-05-23"
    ],
    "horizonObservationCounts": {
      "1": 179,
      "5": 179,
      "10": 179
    },
    "baselineAvgForwardReturns": {
      "1": 0.003405939089585527,
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      "10": 0.03656433813327233
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  },
  "dateRange": {
    "end": "2026-07-25",
    "start": "2025-01-01"
  },
  "scoreMode": "blended",
  "calibration": {
    "bestComboQuality": 0.9999766907734629,
    "comboQualityScale": 0.22,
    "comboQualityCenter": 0.35,
    "medianComboQuality": 0.9996006678636232,
    "bestRawFitnessScore": 2.6966603550617605,
    "upperQuartileComboQuality": 0.9997886242558347
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        "2025-02-19",
        "2025-02-20",
        "2025-02-21",
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        "2025-03-28",
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        "2025-06-11",
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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."
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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": "080c68a9400970749e28f7f389c6a6e97e9c90ad870d226ae81cfc9d79686f4c",
    "size": 13,
    "members": [
      "SMH",
      "TECL",
      "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
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Sharpe 6m
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Sharpe Score
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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
0.733
Momentum
0.607
Relative strength
0.759
Trend quality
0.467
Stability
0.283
Aggression
0.663
Downside risk
0.415
Drawdown state
0.665
Quality momentum
0.572
Vector snapshot
Feature coverage: 98%
Normalized features
Bounded [0,1] features used for ranking and clustering.
79 fields
Inverse To Benchmark 1y
0.137
Benchmark Independence 3m Score
0.156
Beta 1y Profile Score
1
Beta 3m Profile Score
1
Beta Change Score
1
Correlation Change Score
0.491
Current Drawdown Score
0.507
Days Since 52w High Score
0.139
Distance From 52w High Score
0.507
Distance From Sma 20 Score
0.386
Distance From Sma 200 Score
1
Distance From Sma 50 Score
0.302
Downside Volatility 1m Score
1
Downside Volatility 1y Score
1
Downside Volatility 2y Score
1
Downside Volatility 3m Score
1
Downside Volatility 5y Score
0.988
Downside Volatility 6m Score
1
Drawdown Recovery Score
1
Excess Return 1m Score
0.293
Excess Return 1y Score
1
Excess Return 3m Score
0.924
Excess Return 6m Score
1
Expected Shortfall 95 1y Score
0.016
Log Avg Dollar Volume 20d Score
0.733
Drawdown Score 1m
0.079
Drawdown Score 1y
0.283
Drawdown Score 2y
0.207
Drawdown Score 3m
0.127
Drawdown Score 5y
0.220
Drawdown Score 6m
0.264
Momentum Acceleration 1m Vs 3m Score
0
Momentum Acceleration 3m Vs 6m Score
0.492
Moving Average Alignment Score
0.500
Relative Strength Acceleration Score
0
Relative Strength Slope 3m Score
0.696
Relative Volume 20d Score
0.150
Return 1m Score
0.304
Return 1w Score
0.539
Return 1y Score
1
Return 2y Score
0.608
Return 3m Score
0.869
Return 5y Score
0.257
Return 6m Score
1
Return Skewness 1y Score
0.429
Sharpe 1m Score
0.147
Sharpe 1y Score
0.663
Sharpe 2y Score
0.574
Sharpe 3m Score
0.708
Sharpe 5y Score
0.539
Sharpe 6m Score
0.703
Sortino 1m Score
0.217
Sortino 1y Score
0.518
Sortino 2y Score
0.475
Sortino 3m Score
0.557
Sortino 5y Score
0.459
Sortino 6m Score
0.549
Trend R2 1m Score
0.487
Trend R2 1w Score
0.306
Trend R2 1y Score
0.488
Trend R2 2y Score
0.537
Trend R2 3m Score
0.199
Trend R2 5y Score
0.503
Trend R2 6m Score
0.682
Trend Slope 1m Score
0.062
Trend Slope 1w Score
1
Trend Slope 1y Score
0.670
Trend Slope 2y Score
0.615
Trend Slope 3m Score
0.737
Trend Slope 5y Score
0.566
Trend Slope 6m Score
0.983
Volatility 1m Score
1
Volatility 1w Score
0.934
Volatility 1y Score
0.916
Volatility 2y Score
1
Volatility 3m Score
1
Volatility 5y Score
0.948
Volatility 6m Score
1
Worst Day 1y Score
0.004
Raw values
Underlying economic values before normalization.
89 fields
Avg Dollar Volume 20d
157,960,169.586
Best Day 1y
0.128
Beta To Benchmark 1y
5.006
Beta 3m
6.415
Beta Change
1.409
Beta To Sector 1y
-
Correlation To Benchmark 1y
0.863
Correlation 3m
0.844
Correlation Change
-0.019
Correlation To Sector 1y
-
Cluster features
The subset used for clustering and coverage calculations.
39 fields
Inverse To Benchmark 1y
0.137
Benchmark Independence 3m Score
0.156
Beta 1y Profile Score
1
Beta 3m Profile Score
1
Beta Change Score
1
Correlation Change Score
0.491
Current Drawdown Score
0.507
Distance From Sma 20 Score
0.386
Distance From Sma 200 Score
1
Current Drawdown
-0.321
Days Since 52w High
35
Distance From 52w High
-0.321
Distance From Sma 20
-0.068
Distance From Sma 200
0.312
Distance From Sma 50
-0.119
Downside Capture 1y
0.045
Downside Volatility 1m
0.887
Downside Volatility 1w
-
Downside Volatility 1y
0.844
Downside Volatility 2y
0.882
Downside Volatility 3m
1.049
Downside Volatility 5y
0.791
Downside Volatility 6m
0.958
Drawdown Recovery
1
Excess Return 1m
-0.124
Excess Return 1y
0.812
Excess Return 3m
0.254
Excess Return 6m
0.521
Expected Shortfall 95 1y
-0.098
Market Cap
-
Max Drawdown 1m
-0.230
Max Drawdown 1w
-0.038
Max Drawdown 1y
-0.466
Max Drawdown 2y
-0.635
Max Drawdown 3m
-0.349
Max Drawdown 5y
-0.780
Max Drawdown 6m
-0.405
Momentum Acceleration 1m Vs 3m
-0.216
Momentum Acceleration 3m Vs 6m
-0.002
Moving Average Alignment
0
Relative Strength Acceleration
-0.014
Relative Strength Slope 3m
0.003
Relative Volume 20d
0.706
Return 1m
-0.118
Return 1w
0.012
Return 1y
0.999
Return 2y
1.126
Return 3m
0.295
Return 5y
2.336
Return 6m
0.604
Return Skewness 1y
-0.424
Sector Excess Return 1y
-
Sharpe 1m
-1.266
Sharpe 1y
1.313
Sharpe 2y
0.870
Sharpe 3m
1.542
Sharpe 5y
0.697
Sharpe 6m
1.516
Sortino 1m
-1.266
Sortino 1y
1.146
Sortino 2y
0.799
Sortino 3m
1.460
Sortino 5y
0.670
Sortino 6m
1.396
Trend R2 1m
0.487
Trend R2 1w
0.306
Trend R2 1y
0.488
Trend R2 2y
0.537
Trend R2 3m
0.199
Trend R2 5y
0.503
Trend R2 6m
0.682
Trend 1m
-0.007
Trend 1w
0.010
Trend 1y
0.003
Trend 2y
0.002
Trend 3m
0.004
Trend 5y
0.001
Trend 6m
0.008
Upside Capture 1y
37.410
Value At Risk 95 1y
-0.077
Volatility 1m
0.887
Volatility 1w
0.751
Volatility 1y
0.737
Volatility 2y
0.811
Volatility 3m
0.993
Volatility 5y
0.761
Volatility 6m
0.882
Worst Day 1y
-0.199
Distance From Sma 50 Score
0.302
Downside Volatility 1y Score
1
Downside Volatility 3m Score
1
Drawdown Recovery Score
1
Excess Return 1m Score
0.293
Excess Return 1y Score
1
Excess Return 3m Score
0.924
Excess Return 6m Score
1
Expected Shortfall 95 1y Score
0.016
Log Avg Dollar Volume 20d Score
0.733
Drawdown Score 1y
0.283
Drawdown Score 5y
0.220
Momentum Acceleration 1m Vs 3m Score
0
Momentum Acceleration 3m Vs 6m Score
0.492
Moving Average Alignment Score
0.500
Relative Strength Acceleration Score
0
Relative Volume 20d Score
0.150
Return 1m Score
0.304
Return 1y Score
1
Return 3m Score
0.869
Return 6m Score
1
Return Skewness 1y Score
0.429
Sortino 1y Score
0.518
Sortino 3m Score
0.557
Trend R2 1y Score
0.488
Trend R2 3m Score
0.199
Trend Slope 1y Score
0.670
Trend Slope 3m Score
0.737
Volatility 1y Score
0.916
Volatility 3m Score
1