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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

LDOS

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

Research Detail

LDOS

LDOS

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
0.268
Correlation To Benchmark 1y
0.109
Inverse To Benchmark 1y
0.891
Drawdown Score 1m
0.770
Drawdown Score 3m
0.165
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
0.121
Drawdown Score 1y
0.239
Drawdown Score 2y
0.382
Drawdown Score 5y
0.505
Return 1w
0.019
Return 1m
0.040
Return 3m
-0.265
Return 6m
-0.422
Return 1y
-0.309
Return 2y
-0.253
Return 5y
0.116
Sharpe 1m
1.576
Sharpe 3m
-3.524
Sharpe 6m
-2.825
Sharpe 1y
-1.024
Sharpe 2y
-0.313
Sharpe 5y
0.218
Trend 1w
0.003
Trend 1m
0.002
Trend 3m
-0.006
Trend 6m
-0.005
Trend 1y
-0.002
Trend 2y
-0.000
Trend 5y
0.001
Volatility 1w
0.349
Volatility 1m
0.330
Volatility 3m
0.333
Volatility 6m
0.364
Volatility 1y
0.312
Volatility 2y
0.310
Volatility 5y
0.271
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
LDOS
Vector Name
stock_movement_v2
Vector Version
2
As Of Date
2026-07-23
Updated At
Jul 26, 1:40 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
0.145
Aptet Fit Raw Score
0.242
Aptet Fit Confidence
0.197
Aptet Fit Label
poor
Aptet Fitness Error
-
Force Fit Score
0.486
Force Fit Raw Score
0.507
Force Fit Confidence
0.917
Force Fit Label
weak
Force Fitness Error
-
Stock Fitness Updated At
Jul 26, 1:40 AM
Aptet Fitness
{
  "config": {
    "topNs": [
      2,
      3,
      4,
      5
    ],
    "universe": [
      "XLK",
      "XLF",
      "XLV",
      "XLY",
      "XLI",
      "XLP",
      "XLE",
      "XLB",
      "XLU",
      "XLRE",
      "XLC",
      "SMH",
      "LDOS"
    ],
    "lookbacks": [
      14,
      21,
      30,
      45,
      63
    ],
    "forwardDays": [
      1,
      5,
      10
    ],
    "maxHoldings": 5,
    "minHoldings": 2,
    "fallbackTicker": "VOO",
    "riskOffEnabled": true,
    "adaptationSpeed": "balanced",
    "benchmarkTicker": "VOO"
  },
  "ticker": "LDOS",
  "fitScope": "universe_conditioned",
  "algorithm": "aptet",
  "bestCombo": {
    "topN": 4,
    "ticker": "LDOS",
    "hitRates": {
      "1": 1,
      "5": 0,
      "10": 0
    },
    "hitRate1D": 1,
    "comboQuality": 0.7992315932924365,
    "eligibleDays": 352,
    "fitnessScore": 0.6539297182624201,
    "lookbackDays": 14,
    "returnLift1D": 0.03742892644852739,
    "hitRateLift1D": 0.5714285714285714,
    "activationRate": 0.002840909090909091,
    "activationCount": 1,
    "baselineHitRates": {
      "1": 0.42857142857142855,
      "5": 0.5,
      "10": 0.4
    },
    "sampleConfidence": 0.4396504054291551,
    "shadowSharpeLike": 0.8461141122266493,
    "avgForwardReturns": {
      "1": 0.040704070407040716,
      "5": 0,
      "10": 0
    },
    "shadowMaxDrawdown": 0,
    "shadowTotalReturn": 0.04020407040704077,
    "avgForwardReturn1D": 0.040704070407040716,
    "riskOffActivations": 0,
    "activationDatesSample": [
      "2026-07-24"
    ],
    "horizonObservationCounts": {
      "1": 1,
      "5": 0,
      "10": 0
    },
    "baselineAvgForwardReturns": {
      "1": 0.0032751439585133285,
      "5": 0.0029111122421775827,
      "10": 0.0060346296119801355
    }
  },
  "dateRange": {
    "end": "2026-07-25",
    "start": "2025-01-01"
  },
  "scoreMode": "blended",
  "calibration": {
    "bestComboQuality": 0.7992315932924365,
    "comboQualityScale": 0.22,
    "comboQualityCenter": 0.35,
    "medianComboQuality": 0.08295459578462175,
    "bestRawFitnessScore": 0.6539297182624201,
    "upperQuartileComboQuality": 0.08295459578462175
  },
  "algorithmFit": {
    "label": "poor",
    "score": 0.14478108099654746,
    "rawScore": 0.2419082894709171,
    "confidence": 0.19699148229439617,
    "bestProfile": {
      "topN": 4,
      "lookbackDays": 14
    },
    "profileBreadth": 0.1634600558279638,
    "recommendedRegion": {
      "topNs": [
        4,
        5
      ],
      "lookbackDays": [
        14
      ]
    },
    "parameterStability": 0.3405153160852375,
    "confidenceAdjustment": "conservative_penalty"
  },
  "rankedCombos": [
    {
      "topN": 4,
      "ticker": "LDOS",
      "hitRates": {
        "1": 1,
        "5": 0,
        "10": 0
      },
      "hitRate1D": 1,
      "comboQuality": 0.7992315932924365,
      "eligibleDays": 352,
      "fitnessScore": 0.6539297182624201,
      "lookbackDays": 14,
      "returnLift1D": 0.03742892644852739,
      "hitRateLift1D": 0.5714285714285714,
      "activationRate": 0.002840909090909091,
      "activationCount": 1,
      "baselineHitRates": {
        "1": 0.42857142857142855,
        "5": 0.5,
        "10": 0.4
      },
      "sampleConfidence": 0.4396504054291551,
      "shadowSharpeLike": 0.8461141122266493,
      "avgForwardReturns": {
        "1": 0.040704070407040716,
        "5": 0,
        "10": 0
      },
      "shadowMaxDrawdown": 0,
      "shadowTotalReturn": 0.04020407040704077,
      "avgForwardReturn1D": 0.040704070407040716,
      "riskOffActivations": 0,
      "activationDatesSample": [
        "2026-07-24"
      ],
      "horizonObservationCounts": {
        "1": 1,
        "5": 0,
        "10": 0
      },
      "baselineAvgForwardReturns": {
        "1": 0.0032751439585133285,
        "5": 0.0029111122421775827,
        "10": 0.0060346296119801355
      }
    },
    {
      "topN": 5,
      "ticker": "LDOS",
      "hitRates": {
        "1": 1,
        "5": 0,
        "10": 0
      },
      "hitRate1D": 1,
      "comboQuality": 0.7992315932924365,
      "eligibleDays": 352,
      "fitnessScore": 0.6539297182624201,
      "lookbackDays": 14,
      "returnLift1D": 0.03742892644852739,
      "hitRateLift1D": 0.5714285714285714,
      "activationRate": 0.002840909090909091,
      "activationCount": 1,
      "baselineHitRates": {
        "1": 0.42857142857142855,
        "5": 0.5,
        "10": 0.4
      },
      "sampleConfidence": 0.4396504054291551,
      "shadowSharpeLike": 0.8461141122266493,
      "avgForwardReturns": {
        "1": 0.040704070407040716,
        "5": 0,
        "10": 0
      },
      "shadowMaxDrawdown": 0,
      "shadowTotalReturn": 0.04020407040704077,
      "avgForwardReturn1D": 0.040704070407040716,
      "riskOffActivations": 0,
      "activationDatesSample": [
        "2026-07-24"
      ],
      "horizonObservationCounts": {
        "1": 1,
        "5": 0,
        "10": 0
      },
      "baselineAvgForwardReturns": {
        "1": 0.0032751439585133285,
        "5": 0.0029111122421775827,
        "10": 0.0060346296119801355
      }
    },
    {
      "topN": 2,
      "ticker": "LDOS",
      "hitRates": {
        "1": 0,
        "5": 0,
        "10": 0
      },
      "hitRate1D": 0,
      "comboQuality": 0.08295459578462175,
      "eligibleDays": 352,
      "fitnessScore": -0.17862998441443376,
      "lookbackDays": 14,
      "returnLift1D": -0.0032751439585133285,
      "hitRateLift1D": -0.42857142857142855,
      "activationRate": 0,
      "activationCount": 0,
      "baselineHitRates": {
        "1": 0.42857142857142855,
        "5": 0.5,
        "10": 0.4
      },
      "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": 0.0032751439585133285,
        "5": 0.0029111122421775827,
        "10": 0.0060346296119801355
      }
    },
    {
      "topN": 3,
      "ticker": "LDOS",
      "hitRates": {
        "1": 0,
        "5": 0,
        "10": 0
      },
      "hitRate1D": 0,
      "comboQuality": 0.08295459578462175,
      "eligibleDays": 352,
      "fitnessScore": -0.17862998441443376,
      "lookbackDays": 14,
      "returnLift1D": -0.0032751439585133285,
      "hitRateLift1D": -0.42857142857142855,
      "activationRate": 0,
      "activationCount": 0,
      "baselineHitRates": {
        "1": 0.42857142857142855,
        "5": 0.5,
        "10": 0.4
      },
      "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": 0.0032751439585133285,
        "5": 0.0029111122421775827,
        "10": 0.0060346296119801355
      }
    },
    {
      "topN": 2,
      "ticker": "LDOS",
      "hitRates": {
        "1": 0,
        "5": 0,
        "10": 0
      },
      "hitRate1D": 0,
      "comboQuality": 0.08295459578462175,
      "eligibleDays": 339,
      "fitnessScore": -0.17862998441443376,
      "lookbackDays": 21,
      "returnLift1D": -0.0032751439585133285,
      "hitRateLift1D": -0.42857142857142855,
      "activationRate": 0,
      "activationCount": 0,
      "baselineHitRates": {
        "1": 0.42857142857142855,
        "5": 0.5,
        "10": 0.4
      },
      "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": 0.0032751439585133285,
        "5": 0.0029111122421775827,
        "10": 0.0060346296119801355
      }
    },
    {
      "topN": 3,
      "ticker": "LDOS",
      "hitRates": {
        "1": 0,
        "5": 0,
        "10": 0
      },
      "hitRate1D": 0,
      "comboQuality": 0.08295459578462175,
      "eligibleDays": 339,
      "fitnessScore": -0.17862998441443376,
      "lookbackDays": 21,
      "returnLift1D": -0.0032751439585133285,
      "hitRateLift1D": -0.42857142857142855,
      "activationRate": 0,
      "activationCount": 0,
      "baselineHitRates": {
        "1": 0.42857142857142855,
        "5": 0.5,
        "10": 0.4
      },
      "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": 0.0032751439585133285,
        "5": 0.0029111122421775827,
        "10": 0.0060346296119801355
      }
    },
    {
      "topN": 4,
      "ticker": "LDOS",
      "hitRates": {
        "1": 0,
        "5": 0,
        "10": 0
      },
      "hitRate1D": 0,
      "comboQuality": 0.08295459578462175,
      "eligibleDays": 339,
      "fitnessScore": -0.17862998441443376,
      "lookbackDays": 21,
      "returnLift1D": -0.0032751439585133285,
      "hitRateLift1D": -0.42857142857142855,
      "activationRate": 0,
      "activationCount": 0,
      "baselineHitRates": {
        "1": 0.42857142857142855,
        "5": 0.5,
        "10": 0.4
      },
      "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": 0.0032751439585133285,
        "5": 0.0029111122421775827,
        "10": 0.0060346296119801355
      }
    },
    {
      "topN": 5,
      "ticker": "LDOS",
      "hitRates": {
        "1": 0,
        "5": 0,
        "10": 0
      },
      "hitRate1D": 0,
      "comboQuality": 0.08295459578462175,
      "eligibleDays": 339,
      "fitnessScore": -0.17862998441443376,
      "lookbackDays": 21,
      "returnLift1D": -0.0032751439585133285,
      "hitRateLift1D": -0.42857142857142855,
      "activationRate": 0,
      "activationCount": 0,
      "baselineHitRates": {
        "1": 0.42857142857142855,
        "5": 0.5,
        "10": 0.4
      },
      "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": 0.0032751439585133285,
        "5": 0.0029111122421775827,
        "10": 0.0060346296119801355
      }
    },
    {
      "topN": 2,
      "ticker": "LDOS",
      "hitRates": {
        "1": 0,
        "5": 0,
        "10": 0
      },
      "hitRate1D": 0,
      "comboQuality": 0.08295459578462175,
      "eligibleDays": 330,
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      "baselineAvgForwardReturns": {
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    {
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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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    },
    {
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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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      "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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      "shadowMaxDrawdown": 0,
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      "baselineAvgForwardReturns": {
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        "10": 0.0060346296119801355
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    },
    {
      "topN": 2,
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        "10": 0
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      "hitRate1D": 0,
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      "shadowMaxDrawdown": 0,
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      "baselineAvgForwardReturns": {
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    },
    {
      "topN": 3,
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      "hitRate1D": 0,
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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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      "shadowMaxDrawdown": 0,
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    },
    {
      "topN": 5,
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      "hitRate1D": 0,
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      "sampleConfidence": 0.25,
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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": 4,
      "comboQuality": 0.7992315932924365,
      "fitnessScore": 0.6539297182624201,
      "lookbackDays": 14,
      "returnLift1D": 0.03742892644852739,
      "activationRate": 0.002840909090909091,
      "activationCount": 1,
      "sampleConfidence": 0.4396504054291551,
      "shadowTotalReturn": 0.04020407040704077,
      "avgForwardReturn1D": 0.040704070407040716
    },
    {
      "bestTopN": 2,
      "comboQuality": 0.08295459578462175,
      "fitnessScore": -0.17862998441443376,
      "lookbackDays": 21,
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      "activationRate": 0,
      "activationCount": 0,
      "sampleConfidence": 0.25,
      "shadowTotalReturn": 0,
      "avgForwardReturn1D": 0
    },
    {
      "bestTopN": 2,
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      "fitnessScore": -0.17862998441443376,
      "lookbackDays": 30,
      "returnLift1D": -0.0032751439585133285,
      "activationRate": 0,
      "activationCount": 0,
      "sampleConfidence": 0.25,
      "shadowTotalReturn": 0,
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    },
    {
      "bestTopN": 2,
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      "fitnessScore": -0.17862998441443376,
      "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,
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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": "d753aacbb0ec9b14b6ccaed17cda8015726054c445d8edea5ca69aef93bb3e93",
    "size": 13,
    "members": [
      "LDOS",
      "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",
      "LDOS"
    ],
    "lookbacks": [
      14,
      21,
      30,
      45,
      63
    ],
    "forwardDays": [
      1,
      5,
      10
    ],
    "portfolioSizes": [
      2,
      3,
      4,
      5
    ],
    "safetyNetEquity": "VOO"
  },
  "ticker": "LDOS",
  "fitScope": "universe_conditioned",
  "algorithm": "force",
  "bestCombo": {
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    "hitRates": {
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    "hitRate1D": 0.5833333333333334,
    "rankWeights": [
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      0.20000000000000004
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    "comboQuality": 0.6447238328361174,
    "eligibleDays": 326,
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    "lookbackDays": 63,
    "returnLift1D": 0.0019886725863812807,
    "hitRateLift1D": 0.0802658486707567,
    "portfolioSize": 3,
    "activationRate": 0.3312883435582822,
    "activationCount": 108,
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    "sampleConfidence": 1,
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    "avgForwardReturns": {
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      "10": 0.013411301246256392
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    "shadowMaxDrawdown": -0.1163442974177733,
    "shadowTotalReturn": 0.15323464731734648,
    "avgForwardReturn1D": 0.0014886347582079348,
    "riskOffActivations": 0,
    "activationDatesSample": [
      "2025-04-25",
      "2025-04-28",
      "2025-04-29",
      "2025-04-30",
      "2025-05-01",
      "2025-05-02",
      "2025-05-05",
      "2025-05-06",
      "2025-05-07",
      "2025-05-08"
    ],
    "horizonObservationCounts": {
      "1": 108,
      "5": 108,
      "10": 108
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    "baselineAvgForwardReturns": {
      "1": -0.0005000378281733457,
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  },
  "dateRange": {
    "end": "2026-07-25",
    "start": "2025-01-01"
  },
  "scoreMode": "blended",
  "calibration": {
    "bestComboQuality": 0.6447238328361174,
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        "2025-03-11",
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        "2025-03-13",
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        "2025-03-18",
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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": "d753aacbb0ec9b14b6ccaed17cda8015726054c445d8edea5ca69aef93bb3e93",
    "size": 13,
    "members": [
      "LDOS",
      "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
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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.
10 fields
Cap
0.480
Liquidity
0.744
Momentum
0.397
Relative strength
0.171
Trend quality
0.658
Stability
0.513
Aggression
0.463
Downside risk
0.475
Drawdown state
0.388
Quality momentum
0.421
Vector snapshot
Feature coverage: 100%
Normalized features
Bounded [0,1] features used for ranking and clustering.
81 fields
Inverse To Benchmark 1y
0.891
Benchmark Independence 3m Score
0.872
Beta 1y Profile Score
0.107
Beta 3m Profile Score
0
Beta Change Score
0.203
Correlation Change Score
0.382
Current Drawdown Score
0.319
Days Since 52w High Score
0.706
Distance From 52w High Score
0.319
Distance From Sma 20 Score
0.567
Distance From Sma 200 Score
0
Distance From Sma 50 Score
0.431
Downside Volatility 1m Score
0.285
Downside Volatility 1y Score
0.383
Downside Volatility 2y Score
0.392
Downside Volatility 3m Score
0.432
Downside Volatility 5y Score
0.328
Downside Volatility 6m Score
0.478
Drawdown Recovery Score
0.604
Excess Return 1m Score
0.556
Excess Return 1y Score
0
Excess Return 3m Score
0
Excess Return 6m Score
0
Expected Shortfall 95 1y Score
0.505
Log Avg Dollar Volume 20d Score
0.744
Log Market Cap Score
0.480
Drawdown Score 1m
0.770
Drawdown Score 1y
0.239
Drawdown Score 2y
0.382
Drawdown Score 3m
0.165
Drawdown Score 5y
0.505
Drawdown Score 6m
0.121
Momentum Acceleration 1m Vs 3m Score
0.927
Momentum Acceleration 3m Vs 6m Score
0.440
Moving Average Alignment Score
0.250
Relative Strength Acceleration Score
1
Relative Strength Slope 3m Score
0.099
Relative Volume 20d Score
0.260
Return 1m Score
0.566
Return 1w Score
0.563
Return 1y Score
0.307
Return 2y Score
0.214
Return 3m Score
0.168
Return 5y Score
0.086
Return 6m Score
0.148
Return Skewness 1y Score
0.377
Sector Excess Return 1y Score
0
Sharpe 1m Score
0.715
Sharpe 1y Score
0.195
Sharpe 2y Score
0.337
Sharpe 3m Score
0
Sharpe 5y Score
0.444
Sharpe 6m Score
0
Sortino 1m Score
0.621
Sortino 1y Score
0.257
Sortino 2y Score
0.340
Sortino 3m Score
0
Sortino 5y Score
0.400
Sortino 6m Score
0.060
Trend R2 1m Score
0.363
Trend R2 1w Score
0.091
Trend R2 1y Score
0.593
Trend R2 2y Score
0.002
Trend R2 3m Score
0.838
Trend R2 5y Score
0.668
Trend R2 6m Score
0.949
Trend Slope 1m Score
0.654
Trend Slope 1w Score
0.670
Trend Slope 1y Score
0.373
Trend Slope 2y Score
0.497
Trend Slope 3m Score
0.139
Trend Slope 5y Score
0.538
Trend Slope 6m Score
0.167
Volatility 1m Score
0.373
Volatility 1w Score
0.398
Volatility 1y Score
0.350
Volatility 2y Score
0.346
Volatility 3m Score
0.378
Volatility 5y Score
0.295
Volatility 6m Score
0.418
Worst Day 1y Score
0.442
Raw values
Underlying economic values before normalization.
89 fields
Avg Dollar Volume 20d
170,599,241.455
Best Day 1y
0.074
Beta To Benchmark 1y
0.268
Beta 3m
-0.325
Beta Change
-0.594
Beta To Sector 1y
-0.026
Correlation To Benchmark 1y
0.109
Correlation 3m
-0.128
Correlation Change
-0.237
Correlation To Sector 1y
-0.021
Cluster features
The subset used for clustering and coverage calculations.
40 fields
Inverse To Benchmark 1y
0.891
Benchmark Independence 3m Score
0.872
Beta 1y Profile Score
0.107
Beta 3m Profile Score
0
Beta Change Score
0.203
Correlation Change Score
0.382
Current Drawdown Score
0.319
Distance From Sma 20 Score
0.567
Distance From Sma 200 Score
0
Current Drawdown
-0.443
Days Since 52w High
178
Distance From 52w High
-0.443
Distance From Sma 20
0.040
Distance From Sma 200
-0.316
Distance From Sma 50
-0.041
Downside Capture 1y
1.323
Downside Volatility 1m
0.264
Downside Volatility 1w
-
Downside Volatility 1y
0.337
Downside Volatility 2y
0.344
Downside Volatility 3m
0.374
Downside Volatility 5y
0.296
Downside Volatility 6m
0.408
Drawdown Recovery
0.209
Excess Return 1m
0.033
Excess Return 1y
-0.496
Excess Return 3m
-0.306
Excess Return 6m
-0.505
Expected Shortfall 95 1y
-0.049
Market Cap
14,105,582,157.24
Max Drawdown 1m
-0.058
Max Drawdown 1w
-0.031
Max Drawdown 1y
-0.495
Max Drawdown 2y
-0.495
Max Drawdown 3m
-0.334
Max Drawdown 5y
-0.495
Max Drawdown 6m
-0.483
Momentum Acceleration 1m Vs 3m
0.128
Momentum Acceleration 3m Vs 6m
-0.018
Moving Average Alignment
-0.500
Relative Strength Acceleration
0.008
Relative Strength Slope 3m
-0.006
Relative Volume 20d
1.001
Return 1m
0.040
Return 1w
0.019
Return 1y
-0.309
Return 2y
-0.253
Return 3m
-0.265
Return 5y
0.116
Return 6m
-0.422
Return Skewness 1y
-0.737
Sector Excess Return 1y
-0.695
Sharpe 1m
1.576
Sharpe 1y
-1.024
Sharpe 2y
-0.313
Sharpe 3m
-3.524
Sharpe 5y
0.218
Sharpe 6m
-2.825
Sortino 1m
1.969
Sortino 1y
-0.948
Sortino 2y
-0.282
Sortino 3m
-3.142
Sortino 5y
0.200
Sortino 6m
-2.517
Trend R2 1m
0.363
Trend R2 1w
0.091
Trend R2 1y
0.593
Trend R2 2y
0.002
Trend R2 3m
0.838
Trend R2 5y
0.668
Trend R2 6m
0.949
Trend 1m
0.002
Trend 1w
0.003
Trend 1y
-0.002
Trend 2y
-0.000
Trend 3m
-0.006
Trend 5y
0.001
Trend 6m
-0.005
Upside Capture 1y
0.440
Value At Risk 95 1y
-0.028
Volatility 1m
0.330
Volatility 1w
0.349
Volatility 1y
0.312
Volatility 2y
0.310
Volatility 3m
0.333
Volatility 5y
0.271
Volatility 6m
0.364
Worst Day 1y
-0.112
Distance From Sma 50 Score
0.431
Downside Volatility 1y Score
0.383
Downside Volatility 3m Score
0.432
Drawdown Recovery Score
0.604
Excess Return 1m Score
0.556
Excess Return 1y Score
0
Excess Return 3m Score
0
Excess Return 6m Score
0
Expected Shortfall 95 1y Score
0.505
Log Avg Dollar Volume 20d Score
0.744
Log Market Cap Score
0.480
Drawdown Score 1y
0.239
Drawdown Score 5y
0.505
Momentum Acceleration 1m Vs 3m Score
0.927
Momentum Acceleration 3m Vs 6m Score
0.440
Moving Average Alignment Score
0.250
Relative Strength Acceleration Score
1
Relative Volume 20d Score
0.260
Return 1m Score
0.566
Return 1y Score
0.307
Return 3m Score
0.168
Return 6m Score
0.148
Return Skewness 1y Score
0.377
Sortino 1y Score
0.257
Sortino 3m Score
0
Trend R2 1y Score
0.593
Trend R2 3m Score
0.838
Trend Slope 1y Score
0.373
Trend Slope 3m Score
0.139
Volatility 1y Score
0.350
Volatility 3m Score
0.378