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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 1-50 of 355
Page 1 of 8
TickerSectorMomentumQualityStabilityLiquidityAptet FitForce FitCoverageUpdated
ZIMIndustrials0.5470.5260.5310.4770.115 poor0.396 weak100%Jul 26, 2:12 AM
XOMEnergy0.6500.5800.7131.0000.522 moderate0.389 weak100%Jul 26, 2:11 AM
XAR-0.5080.4690.6960.5800.170 poor
Ticker detail

UBER

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

Research Detail

UBER

UBER

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
0.936
Correlation To Benchmark 1y
0.351
Inverse To Benchmark 1y
0.649
Drawdown Score 1m
0.617
Drawdown Score 3m
0.667
0.683 good
98%
Jul 26, 2:11 AM
WMTConsumer Staples0.3750.4180.6751.0000.385 weak0.365 weak98%Jul 26, 2:11 AM
WMBEnergy0.5450.5800.7510.9140.129 poor0.228 poor100%Jul 26, 2:11 AM
WELLReal Estate0.7320.7430.7700.9470.660 good0.596 moderate100%Jul 26, 2:11 AM
VSTUtilities0.5530.4710.4800.9340.398 weak0.383 weak100%Jul 26, 2:10 AM
VSATInformation Technology0.7650.7050.3910.7810.532 moderate0.998 strong100%Jul 26, 2:10 AM
VRTXHealth Care0.5430.5250.6070.9910.124 poor0.113 poor100%Jul 26, 2:10 AM
VOO-0.5350.5830.8091.0000.488 weak0.330 poor98%Jul 26, 2:10 AM
VLOEnergy0.8820.8390.7000.9810.152 poor0.759 good100%Jul 26, 2:09 AM
VEEV-0.6280.5100.5020.8800.231 poor0.237 poor100%Jul 26, 2:09 AM
VFinancials0.6030.5490.6801.0000.171 poor0.210 poor100%Jul 26, 2:09 AM
USBFinancials0.6340.6600.7440.9150.124 poor0.719 good100%Jul 26, 2:09 AM
URIIndustrials0.6990.6680.5490.9110.747 good0.787 good100%Jul 26, 2:08 AM
UNPIndustrials0.7480.7420.7660.9790.159 poor0.476 weak100%Jul 26, 2:08 AM
UNHHealth Care0.6370.6700.5131.0000.518 moderate0.327 poor100%Jul 26, 2:08 AM
UMCInformation Technology0.6610.6810.5070.8620.154 poor0.996 strong100%Jul 26, 2:08 AM
UECEnergy0.2510.2790.1830.6410.064 poor0.600 moderate98%Jul 26, 2:08 AM
UBERInformation Technology0.4410.3890.5781.0000.162 poor0.178 poor100%Jul 26, 2:07 AM
TXTIndustrials0.5770.5040.6950.7080.160 poor0.279 poor100%Jul 26, 2:07 AM
TTIndustrials0.5320.5270.6610.9230.294 poor0.353 weak100%Jul 26, 2:07 AM
TSNConsumer Staples0.4530.4310.6300.7380.313 poor0.415 weak100%Jul 26, 2:07 AM
TSMInformation Technology0.5540.6140.6421.0000.952 strong0.933 strong100%Jul 26, 2:06 AM
TSLAConsumer Discretionary0.3060.2470.3941.0000.271 poor0.262 poor100%Jul 26, 2:06 AM
TRGPEnergy0.6910.7420.7310.8460.175 poor0.663 good100%Jul 26, 2:06 AM
TQQQ-0.4920.5000.4181.0000.107 poor0.932 strong98%Jul 26, 2:06 AM
TNA-0.5740.5960.4250.8380.133 poor0.827 strong98%Jul 26, 2:05 AM
TMUSCommunication Services0.3930.3700.5910.9940.104 poor0.137 poor100%Jul 26, 2:05 AM
TMOHealth Care0.7200.5730.5681.0000.177 poor0.567 moderate100%Jul 26, 2:05 AM
THG-0.6910.7000.7400.6230.446 weak0.482 weak100%Jul 26, 2:05 AM
TECL-0.6070.5720.2830.7330.167 poor0.999 strong98%Jul 26, 2:05 AM
TDGIndustrials0.4380.4030.6030.8930.142 poor0.225 poor100%Jul 26, 2:04 AM
SYKHealth Care0.5060.4490.6600.9750.118 poor0.123 poor100%Jul 26, 2:04 AM
SUEnergy0.7070.6380.7160.7950.153 poor0.862 strong100%Jul 26, 2:04 AM
STEMUtilities0.1040.2370.1640.0000.167 poor0.245 poor100%Jul 26, 2:04 AM
SSO-0.5530.5760.6950.7650.163 poor0.756 good98%Jul 26, 2:03 AM
SQQQ-0.4520.4000.2971.0000.125 poor0.078 poor98%Jul 26, 2:03 AM
SQMMaterials0.3890.4110.5120.6110.162 poor0.877 strong100%Jul 26, 2:03 AM
SPXL-0.5720.5620.5860.8790.162 poor0.782 good98%Jul 26, 2:03 AM
SOXL-0.5550.5600.2481.0000.139 poor0.999 strong98%Jul 26, 2:02 AM
SOUtilities0.5400.4990.7180.8910.283 poor0.200 poor100%Jul 26, 2:02 AM
SNOWInformation Technology0.7590.6550.3061.0000.859 strong0.823 strong100%Jul 26, 2:02 AM
SMCIInformation Technology0.4210.3330.1501.0000.156 poor0.110 poor100%Jul 26, 2:02 AM
SLBEnergy0.4670.4970.6410.9210.152 poor0.408 weak100%Jul 26, 2:01 AM
SIFYCommunication Services0.4290.3920.2520.0000.153 poor0.964 strong100%Jul 26, 2:01 AM
SHGFinancials0.6520.6370.6990.4180.120 poor0.824 strong100%Jul 26, 2:01 AM
SHELEnergy0.6420.5640.7290.9050.133 poor0.417 weak100%Jul 26, 2:01 AM
SCHWFinancials0.6160.5290.6400.9940.134 poor0.532 moderate100%Jul 26, 2:01 AM
SBLKIndustrials0.5850.6250.7030.4920.108 poor0.668 good100%Jul 26, 2:00 AM
PreviousPage 1 of 8Next
Drawdown Score 6m
0.662
Drawdown Score 1y
0.516
Drawdown Score 2y
0.607
Drawdown Score 5y
0.423
Return 1w
-0.069
Return 1m
-0.011
Return 3m
-0.088
Return 6m
-0.182
Return 1y
-0.249
Return 2y
0.040
Return 5y
0.484
Sharpe 1m
-0.117
Sharpe 3m
-0.775
Sharpe 6m
-0.940
Sharpe 1y
-0.678
Sharpe 2y
0.242
Sharpe 5y
0.398
Trend 1w
-0.013
Trend 1m
-0.001
Trend 3m
-0.001
Trend 6m
-0.000
Trend 1y
-0.001
Trend 2y
0.000
Trend 5y
0.001
Volatility 1w
0.120
Volatility 1m
0.419
Volatility 3m
0.384
Volatility 6m
0.360
Volatility 1y
0.339
Volatility 2y
0.384
Volatility 5y
0.450
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
UBER
Vector Name
stock_movement_v2
Vector Version
2
As Of Date
2026-07-23
Updated At
Jul 26, 2:07 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
0.162
Aptet Fit Raw Score
0.269
Aptet Fit Confidence
0.203
Aptet Fit Label
poor
Aptet Fitness Error
-
Force Fit Score
0.178
Force Fit Raw Score
0.188
Force Fit Confidence
0.895
Force Fit Label
poor
Force Fitness Error
-
Stock Fitness Updated At
Jul 26, 2:07 AM
Aptet Fitness
{
  "config": {
    "topNs": [
      2,
      3,
      4,
      5
    ],
    "universe": [
      "XLK",
      "XLF",
      "XLV",
      "XLY",
      "XLI",
      "XLP",
      "XLE",
      "XLB",
      "XLU",
      "XLRE",
      "XLC",
      "SMH",
      "UBER"
    ],
    "lookbacks": [
      14,
      21,
      30,
      45,
      63
    ],
    "forwardDays": [
      1,
      5,
      10
    ],
    "maxHoldings": 5,
    "minHoldings": 2,
    "fallbackTicker": "VOO",
    "riskOffEnabled": true,
    "adaptationSpeed": "balanced",
    "benchmarkTicker": "VOO"
  },
  "ticker": "UBER",
  "fitScope": "universe_conditioned",
  "algorithm": "aptet",
  "bestCombo": {
    "topN": 2,
    "ticker": "UBER",
    "hitRates": {
      "1": 0,
      "5": 0,
      "10": 0
    },
    "hitRate1D": 0,
    "comboQuality": 0.08641070073827381,
    "eligibleDays": 352,
    "fitnessScore": -0.16881931350427354,
    "lookbackDays": 14,
    "returnLift1D": 0.001481544967624963,
    "hitRateLift1D": -0.5,
    "activationRate": 0,
    "activationCount": 0,
    "baselineHitRates": {
      "1": 0.5,
      "5": 0.1,
      "10": 0
    },
    "sampleConfidence": 0.25,
    "shadowSharpeLike": 0,
    "avgForwardReturns": {
      "1": 0,
      "5": 0,
      "10": 0
    },
    "shadowMaxDrawdown": 0,
    "shadowTotalReturn": 0,
    "avgForwardReturn1D": 0,
    "riskOffActivations": 0,
    "activationDatesSample": [],
    "horizonObservationCounts": {
      "1": 0,
      "5": 0,
      "10": 0
    },
    "baselineAvgForwardReturns": {
      "1": -0.001481544967624963,
      "5": -0.018805460937262375,
      "10": -0.03876875745795523
    }
  },
  "dateRange": {
    "end": "2026-07-25",
    "start": "2025-01-01"
  },
  "scoreMode": "blended",
  "calibration": {
    "bestComboQuality": 0.08641070073827381,
    "comboQualityScale": 0.22,
    "comboQualityCenter": 0.35,
    "medianComboQuality": 0.08641070073827381,
    "bestRawFitnessScore": -0.16881931350427354,
    "upperQuartileComboQuality": 0.08641070073827381
  },
  "algorithmFit": {
    "label": "poor",
    "score": 0.16189764973029427,
    "rawScore": 0.26912856059061907,
    "confidence": 0.203125,
    "bestProfile": {
      "topN": 2,
      "lookbackDays": 14
    },
    "profileBreadth": 0,
    "recommendedRegion": {
      "topNs": [
        2
      ],
      "lookbackDays": [
        14
      ]
    },
    "parameterStability": 1,
    "confidenceAdjustment": "conservative_penalty"
  },
  "rankedCombos": [
    {
      "topN": 2,
      "ticker": "UBER",
      "hitRates": {
        "1": 0,
        "5": 0,
        "10": 0
      },
      "hitRate1D": 0,
      "comboQuality": 0.08641070073827381,
      "eligibleDays": 352,
      "fitnessScore": -0.16881931350427354,
      "lookbackDays": 14,
      "returnLift1D": 0.001481544967624963,
      "hitRateLift1D": -0.5,
      "activationRate": 0,
      "activationCount": 0,
      "baselineHitRates": {
        "1": 0.5,
        "5": 0.1,
        "10": 0
      },
      "sampleConfidence": 0.25,
      "shadowSharpeLike": 0,
      "avgForwardReturns": {
        "1": 0,
        "5": 0,
        "10": 0
      },
      "shadowMaxDrawdown": 0,
      "shadowTotalReturn": 0,
      "avgForwardReturn1D": 0,
      "riskOffActivations": 0,
      "activationDatesSample": [],
      "horizonObservationCounts": {
        "1": 0,
        "5": 0,
        "10": 0
      },
      "baselineAvgForwardReturns": {
        "1": -0.001481544967624963,
        "5": -0.018805460937262375,
        "10": -0.03876875745795523
      }
    },
    {
      "topN": 3,
      "ticker": "UBER",
      "hitRates": {
        "1": 0,
        "5": 0,
        "10": 0
      },
      "hitRate1D": 0,
      "comboQuality": 0.08641070073827381,
      "eligibleDays": 352,
      "fitnessScore": -0.16881931350427354,
      "lookbackDays": 14,
      "returnLift1D": 0.001481544967624963,
      "hitRateLift1D": -0.5,
      "activationRate": 0,
      "activationCount": 0,
      "baselineHitRates": {
        "1": 0.5,
        "5": 0.1,
        "10": 0
      },
      "sampleConfidence": 0.25,
      "shadowSharpeLike": 0,
      "avgForwardReturns": {
        "1": 0,
        "5": 0,
        "10": 0
      },
      "shadowMaxDrawdown": 0,
      "shadowTotalReturn": 0,
      "avgForwardReturn1D": 0,
      "riskOffActivations": 0,
      "activationDatesSample": [],
      "horizonObservationCounts": {
        "1": 0,
        "5": 0,
        "10": 0
      },
      "baselineAvgForwardReturns": {
        "1": -0.001481544967624963,
        "5": -0.018805460937262375,
        "10": -0.03876875745795523
      }
    },
    {
      "topN": 4,
      "ticker": "UBER",
      "hitRates": {
        "1": 0,
        "5": 0,
        "10": 0
      },
      "hitRate1D": 0,
      "comboQuality": 0.08641070073827381,
      "eligibleDays": 352,
      "fitnessScore": -0.16881931350427354,
      "lookbackDays": 14,
      "returnLift1D": 0.001481544967624963,
      "hitRateLift1D": -0.5,
      "activationRate": 0,
      "activationCount": 0,
      "baselineHitRates": {
        "1": 0.5,
        "5": 0.1,
        "10": 0
      },
      "sampleConfidence": 0.25,
      "shadowSharpeLike": 0,
      "avgForwardReturns": {
        "1": 0,
        "5": 0,
        "10": 0
      },
      "shadowMaxDrawdown": 0,
      "shadowTotalReturn": 0,
      "avgForwardReturn1D": 0,
      "riskOffActivations": 0,
      "activationDatesSample": [],
      "horizonObservationCounts": {
        "1": 0,
        "5": 0,
        "10": 0
      },
      "baselineAvgForwardReturns": {
        "1": -0.001481544967624963,
        "5": -0.018805460937262375,
        "10": -0.03876875745795523
      }
    },
    {
      "topN": 5,
      "ticker": "UBER",
      "hitRates": {
        "1": 0,
        "5": 0,
        "10": 0
      },
      "hitRate1D": 0,
      "comboQuality": 0.08641070073827381,
      "eligibleDays": 352,
      "fitnessScore": -0.16881931350427354,
      "lookbackDays": 14,
      "returnLift1D": 0.001481544967624963,
      "hitRateLift1D": -0.5,
      "activationRate": 0,
      "activationCount": 0,
      "baselineHitRates": {
        "1": 0.5,
        "5": 0.1,
        "10": 0
      },
      "sampleConfidence": 0.25,
      "shadowSharpeLike": 0,
      "avgForwardReturns": {
        "1": 0,
        "5": 0,
        "10": 0
      },
      "shadowMaxDrawdown": 0,
      "shadowTotalReturn": 0,
      "avgForwardReturn1D": 0,
      "riskOffActivations": 0,
      "activationDatesSample": [],
      "horizonObservationCounts": {
        "1": 0,
        "5": 0,
        "10": 0
      },
      "baselineAvgForwardReturns": {
        "1": -0.001481544967624963,
        "5": -0.018805460937262375,
        "10": -0.03876875745795523
      }
    },
    {
      "topN": 2,
      "ticker": "UBER",
      "hitRates": {
        "1": 0,
        "5": 0,
        "10": 0
      },
      "hitRate1D": 0,
      "comboQuality": 0.08641070073827381,
      "eligibleDays": 339,
      "fitnessScore": -0.16881931350427354,
      "lookbackDays": 21,
      "returnLift1D": 0.001481544967624963,
      "hitRateLift1D": -0.5,
      "activationRate": 0,
      "activationCount": 0,
      "baselineHitRates": {
        "1": 0.5,
        "5": 0.1,
        "10": 0
      },
      "sampleConfidence": 0.25,
      "shadowSharpeLike": 0,
      "avgForwardReturns": {
        "1": 0,
        "5": 0,
        "10": 0
      },
      "shadowMaxDrawdown": 0,
      "shadowTotalReturn": 0,
      "avgForwardReturn1D": 0,
      "riskOffActivations": 0,
      "activationDatesSample": [],
      "horizonObservationCounts": {
        "1": 0,
        "5": 0,
        "10": 0
      },
      "baselineAvgForwardReturns": {
        "1": -0.001481544967624963,
        "5": -0.018805460937262375,
        "10": -0.03876875745795523
      }
    },
    {
      "topN": 3,
      "ticker": "UBER",
      "hitRates": {
        "1": 0,
        "5": 0,
        "10": 0
      },
      "hitRate1D": 0,
      "comboQuality": 0.08641070073827381,
      "eligibleDays": 339,
      "fitnessScore": -0.16881931350427354,
      "lookbackDays": 21,
      "returnLift1D": 0.001481544967624963,
      "hitRateLift1D": -0.5,
      "activationRate": 0,
      "activationCount": 0,
      "baselineHitRates": {
        "1": 0.5,
        "5": 0.1,
        "10": 0
      },
      "sampleConfidence": 0.25,
      "shadowSharpeLike": 0,
      "avgForwardReturns": {
        "1": 0,
        "5": 0,
        "10": 0
      },
      "shadowMaxDrawdown": 0,
      "shadowTotalReturn": 0,
      "avgForwardReturn1D": 0,
      "riskOffActivations": 0,
      "activationDatesSample": [],
      "horizonObservationCounts": {
        "1": 0,
        "5": 0,
        "10": 0
      },
      "baselineAvgForwardReturns": {
        "1": -0.001481544967624963,
        "5": -0.018805460937262375,
        "10": -0.03876875745795523
      }
    },
    {
      "topN": 4,
      "ticker": "UBER",
      "hitRates": {
        "1": 0,
        "5": 0,
        "10": 0
      },
      "hitRate1D": 0,
      "comboQuality": 0.08641070073827381,
      "eligibleDays": 339,
      "fitnessScore": -0.16881931350427354,
      "lookbackDays": 21,
      "returnLift1D": 0.001481544967624963,
      "hitRateLift1D": -0.5,
      "activationRate": 0,
      "activationCount": 0,
      "baselineHitRates": {
        "1": 0.5,
        "5": 0.1,
        "10": 0
      },
      "sampleConfidence": 0.25,
      "shadowSharpeLike": 0,
      "avgForwardReturns": {
        "1": 0,
        "5": 0,
        "10": 0
      },
      "shadowMaxDrawdown": 0,
      "shadowTotalReturn": 0,
      "avgForwardReturn1D": 0,
      "riskOffActivations": 0,
      "activationDatesSample": [],
      "horizonObservationCounts": {
        "1": 0,
        "5": 0,
        "10": 0
      },
      "baselineAvgForwardReturns": {
        "1": -0.001481544967624963,
        "5": -0.018805460937262375,
        "10": -0.03876875745795523
      }
    },
    {
      "topN": 5,
      "ticker": "UBER",
      "hitRates": {
        "1": 0,
        "5": 0,
        "10": 0
      },
      "hitRate1D": 0,
      "comboQuality": 0.08641070073827381,
      "eligibleDays": 339,
      "fitnessScore": -0.16881931350427354,
      "lookbackDays": 21,
      "returnLift1D": 0.001481544967624963,
      "hitRateLift1D": -0.5,
      "activationRate": 0,
      "activationCount": 0,
      "baselineHitRates": {
        "1": 0.5,
        "5": 0.1,
        "10": 0
      },
      "sampleConfidence": 0.25,
      "shadowSharpeLike": 0,
      "avgForwardReturns": {
        "1": 0,
        "5": 0,
        "10": 0
      },
      "shadowMaxDrawdown": 0,
      "shadowTotalReturn": 0,
      "avgForwardReturn1D": 0,
      "riskOffActivations": 0,
      "activationDatesSample": [],
      "horizonObservationCounts": {
        "1": 0,
        "5": 0,
        "10": 0
      },
      "baselineAvgForwardReturns": {
        "1": -0.001481544967624963,
        "5": -0.018805460937262375,
        "10": -0.03876875745795523
      }
    },
    {
      "topN": 2,
      "ticker": "UBER",
      "hitRates": {
        "1": 0,
        "5": 0,
        "10": 0
      },
      "hitRate1D": 0,
      "comboQuality": 0.08641070073827381,
      "eligibleDays": 330,
      "fitnessScore": -0.16881931350427354,
      "lookbackDays": 30,
      "returnLift1D": 0.001481544967624963,
      "hitRateLift1D": -0.5,
      "activationRate": 0,
      "activationCount": 0,
      "baselineHitRates": {
        "1": 0.5,
        "5": 0.1,
        "10": 0
      },
      "sampleConfidence": 0.25,
      "shadowSharpeLike": 0,
      "avgForwardReturns": {
        "1": 0,
        "5": 0,
        "10": 0
      },
      "shadowMaxDrawdown": 0,
      "shadowTotalReturn": 0,
      "avgForwardReturn1D": 0,
      "riskOffActivations": 0,
      "activationDatesSample": [],
      "horizonObservationCounts": {
        "1": 0,
        "5": 0,
        "10": 0
      },
      "baselineAvgForwardReturns": {
        "1": -0.001481544967624963,
        "5": -0.018805460937262375,
        "10": -0.03876875745795523
      }
    },
    {
      "topN": 3,
      "ticker": "UBER",
      "hitRates": {
        "1": 0,
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      },
      "hitRate1D": 0,
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      "sampleConfidence": 0.25,
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      "shadowMaxDrawdown": 0,
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      "riskOffActivations": 0,
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      "baselineAvgForwardReturns": {
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    },
    {
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      },
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      "hitRateLift1D": -0.5,
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      "baselineHitRates": {
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      },
      "sampleConfidence": 0.25,
      "shadowSharpeLike": 0,
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      },
      "shadowMaxDrawdown": 0,
      "shadowTotalReturn": 0,
      "avgForwardReturn1D": 0,
      "riskOffActivations": 0,
      "activationDatesSample": [],
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      "baselineAvgForwardReturns": {
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    },
    {
      "topN": 5,
      "ticker": "UBER",
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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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      "baselineAvgForwardReturns": {
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    },
    {
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      },
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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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      "hitRateLift1D": -0.5,
      "activationRate": 0,
      "activationCount": 0,
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      "sampleConfidence": 0.25,
      "shadowSharpeLike": 0,
      "avgForwardReturns": {
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      },
      "shadowMaxDrawdown": 0,
      "shadowTotalReturn": 0,
      "avgForwardReturn1D": 0,
      "riskOffActivations": 0,
      "activationDatesSample": [],
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      },
      "baselineAvgForwardReturns": {
        "1": -0.001481544967624963,
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        "10": -0.03876875745795523
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    },
    {
      "topN": 4,
      "ticker": "UBER",
      "hitRates": {
        "1": 0,
        "5": 0,
        "10": 0
      },
      "hitRate1D": 0,
      "comboQuality": 0.08641070073827381,
      "eligibleDays": 315,
      "fitnessScore": -0.16881931350427354,
      "lookbackDays": 45,
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      "hitRateLift1D": -0.5,
      "activationRate": 0,
      "activationCount": 0,
      "baselineHitRates": {
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      "sampleConfidence": 0.25,
      "shadowSharpeLike": 0,
      "avgForwardReturns": {
        "1": 0,
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      },
      "shadowMaxDrawdown": 0,
      "shadowTotalReturn": 0,
      "avgForwardReturn1D": 0,
      "riskOffActivations": 0,
      "activationDatesSample": [],
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      "baselineAvgForwardReturns": {
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    },
    {
      "topN": 5,
      "ticker": "UBER",
      "hitRates": {
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      },
      "hitRate1D": 0,
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      "hitRateLift1D": -0.5,
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      "sampleConfidence": 0.25,
      "shadowSharpeLike": 0,
      "avgForwardReturns": {
        "1": 0,
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      },
      "shadowMaxDrawdown": 0,
      "shadowTotalReturn": 0,
      "avgForwardReturn1D": 0,
      "riskOffActivations": 0,
      "activationDatesSample": [],
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        "10": 0
      },
      "baselineAvgForwardReturns": {
        "1": -0.001481544967624963,
        "5": -0.018805460937262375,
        "10": -0.03876875745795523
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    },
    {
      "topN": 2,
      "ticker": "UBER",
      "hitRates": {
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        "5": 0,
        "10": 0
      },
      "hitRate1D": 0,
      "comboQuality": 0.08641070073827381,
      "eligibleDays": 297,
      "fitnessScore": -0.16881931350427354,
      "lookbackDays": 63,
      "returnLift1D": 0.001481544967624963,
      "hitRateLift1D": -0.5,
      "activationRate": 0,
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        "5": 0.1,
        "10": 0
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      "sampleConfidence": 0.25,
      "shadowSharpeLike": 0,
      "avgForwardReturns": {
        "1": 0,
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        "10": 0
      },
      "shadowMaxDrawdown": 0,
      "shadowTotalReturn": 0,
      "avgForwardReturn1D": 0,
      "riskOffActivations": 0,
      "activationDatesSample": [],
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      "baselineAvgForwardReturns": {
        "1": -0.001481544967624963,
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    },
    {
      "topN": 3,
      "ticker": "UBER",
      "hitRates": {
        "1": 0,
        "5": 0,
        "10": 0
      },
      "hitRate1D": 0,
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      "hitRateLift1D": -0.5,
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      "sampleConfidence": 0.25,
      "shadowSharpeLike": 0,
      "avgForwardReturns": {
        "1": 0,
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      "shadowMaxDrawdown": 0,
      "shadowTotalReturn": 0,
      "avgForwardReturn1D": 0,
      "riskOffActivations": 0,
      "activationDatesSample": [],
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        "1": 0,
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      "baselineAvgForwardReturns": {
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    },
    {
      "topN": 4,
      "ticker": "UBER",
      "hitRates": {
        "1": 0,
        "5": 0,
        "10": 0
      },
      "hitRate1D": 0,
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      "lookbackDays": 63,
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      "hitRateLift1D": -0.5,
      "activationRate": 0,
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      "sampleConfidence": 0.25,
      "shadowSharpeLike": 0,
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        "1": 0,
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      },
      "shadowMaxDrawdown": 0,
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      "riskOffActivations": 0,
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      "baselineAvgForwardReturns": {
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    },
    {
      "topN": 5,
      "ticker": "UBER",
      "hitRates": {
        "1": 0,
        "5": 0,
        "10": 0
      },
      "hitRate1D": 0,
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      "eligibleDays": 297,
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      "lookbackDays": 63,
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      },
      "sampleConfidence": 0.25,
      "shadowSharpeLike": 0,
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        "1": 0,
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      },
      "shadowMaxDrawdown": 0,
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      "riskOffActivations": 0,
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      "baselineAvgForwardReturns": {
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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": 0.08641070073827381,
      "fitnessScore": -0.16881931350427354,
      "lookbackDays": 14,
      "returnLift1D": 0.001481544967624963,
      "activationRate": 0,
      "activationCount": 0,
      "sampleConfidence": 0.25,
      "shadowTotalReturn": 0,
      "avgForwardReturn1D": 0
    },
    {
      "bestTopN": 2,
      "comboQuality": 0.08641070073827381,
      "fitnessScore": -0.16881931350427354,
      "lookbackDays": 21,
      "returnLift1D": 0.001481544967624963,
      "activationRate": 0,
      "activationCount": 0,
      "sampleConfidence": 0.25,
      "shadowTotalReturn": 0,
      "avgForwardReturn1D": 0
    },
    {
      "bestTopN": 2,
      "comboQuality": 0.08641070073827381,
      "fitnessScore": -0.16881931350427354,
      "lookbackDays": 30,
      "returnLift1D": 0.001481544967624963,
      "activationRate": 0,
      "activationCount": 0,
      "sampleConfidence": 0.25,
      "shadowTotalReturn": 0,
      "avgForwardReturn1D": 0
    },
    {
      "bestTopN": 2,
      "comboQuality": 0.08641070073827381,
      "fitnessScore": -0.16881931350427354,
      "lookbackDays": 45,
      "returnLift1D": 0.001481544967624963,
      "activationRate": 0,
      "activationCount": 0,
      "sampleConfidence": 0.25,
      "shadowTotalReturn": 0,
      "avgForwardReturn1D": 0
    },
    {
      "bestTopN": 2,
      "comboQuality": 0.08641070073827381,
      "fitnessScore": -0.16881931350427354,
      "lookbackDays": 63,
      "returnLift1D": 0.001481544967624963,
      "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": "4535cf1bd1cb6d41e141ffa02c6fc15c3db3ec7b20fee3c2b56705e7cfa9ea3b",
    "size": 13,
    "members": [
      "SMH",
      "UBER",
      "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",
      "UBER"
    ],
    "lookbacks": [
      14,
      21,
      30,
      45,
      63
    ],
    "forwardDays": [
      1,
      5,
      10
    ],
    "portfolioSizes": [
      2,
      3,
      4,
      5
    ],
    "safetyNetEquity": "VOO"
  },
  "ticker": "UBER",
  "fitScope": "universe_conditioned",
  "algorithm": "force",
  "bestCombo": {
    "topN": 2,
    "ticker": "UBER",
    "hitRates": {
      "1": 0.45714285714285713,
      "5": 0.6428571428571429,
      "10": 0.6285714285714286
    },
    "hitRate1D": 0.45714285714285713,
    "rankWeights": [
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      0.30000000000000004
    ],
    "comboQuality": 0.17269737262965343,
    "eligibleDays": 326,
    "fitnessScore": 0.005341446093238868,
    "lookbackDays": 63,
    "returnLift1D": 0.00020579245026180107,
    "hitRateLift1D": -0.03365468886941281,
    "portfolioSize": 2,
    "activationRate": 0.2147239263803681,
    "activationCount": 70,
    "baselineHitRates": {
      "1": 0.49079754601226994,
      "5": 0.5124223602484472,
      "10": 0.48264984227129337
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    "sampleConfidence": 1,
    "shadowSharpeLike": 0.10865937311247001,
    "avgForwardReturns": {
      "1": 0.00041777099152950914,
      "5": 0.017334911780605974,
      "10": 0.033244271036911334
    },
    "shadowMaxDrawdown": -0.15683383113283755,
    "shadowTotalReturn": 0.005592216789240156,
    "avgForwardReturn1D": 0.00041777099152950914,
    "riskOffActivations": 0,
    "activationDatesSample": [
      "2025-04-04",
      "2025-04-07",
      "2025-04-08",
      "2025-04-10",
      "2025-04-11",
      "2025-04-14",
      "2025-04-15",
      "2025-04-16",
      "2025-04-17",
      "2025-04-21"
    ],
    "horizonObservationCounts": {
      "1": 70,
      "5": 70,
      "10": 70
    },
    "baselineAvgForwardReturns": {
      "1": 0.00021197854126770807,
      "5": 0.001762753580183015,
      "10": 0.002746529721602706
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  },
  "dateRange": {
    "end": "2026-07-25",
    "start": "2025-01-01"
  },
  "scoreMode": "blended",
  "calibration": {
    "bestComboQuality": 0.17269737262965343,
    "comboQualityScale": 0.22,
    "comboQualityCenter": 0.35,
    "medianComboQuality": 0.0474314021532811,
    "bestRawFitnessScore": 0.005341446093238868,
    "upperQuartileComboQuality": 0.08601681376773523
  },
  "algorithmFit": {
    "label": "poor",
    "score": 0.17771222336090534,
    "rawScore": 0.18759982880669807,
    "confidence": 0.894588331890421,
    "bestProfile": {
      "lookbackDays": 63,
      "portfolioSize": 2
    },
    "profileBreadth": 0,
    "recommendedRegion": {
      "lookbackDays": [
        63
      ],
      "portfolioSizes": [
        2
      ]
    },
    "parameterStability": 0.606092293045019,
    "confidenceAdjustment": "conservative_penalty"
  },
  "rankedCombos": [
    {
      "topN": 2,
      "ticker": "UBER",
      "hitRates": {
        "1": 0.45714285714285713,
        "5": 0.6428571428571429,
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      "hitRate1D": 0.45714285714285713,
      "rankWeights": [
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        0.30000000000000004
      ],
      "comboQuality": 0.17269737262965343,
      "eligibleDays": 326,
      "fitnessScore": 0.005341446093238868,
      "lookbackDays": 63,
      "returnLift1D": 0.00020579245026180107,
      "hitRateLift1D": -0.03365468886941281,
      "portfolioSize": 2,
      "activationRate": 0.2147239263803681,
      "activationCount": 70,
      "baselineHitRates": {
        "1": 0.49079754601226994,
        "5": 0.5124223602484472,
        "10": 0.48264984227129337
      },
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  "interpretation": {
    "scoreMeaning": "The effective fit score after applying the conservative confidence penalty.",
    "backendMeaning": "This Force evaluator uses the alpha1 backend logic that powers the current Force preview path.",
    "fitScopeMeaning": "Force fit is currently universe-conditioned because the stock competes against the tested Force universe at each ranking step.",
    "rawScoreMeaning": "The unadjusted Force-family fit estimate before the conservative confidence penalty.",
    "algorithmFitMeaning": "Measures how consistently this stock works across the Force strategy family within this tested universe.",
    "confidenceAdjustmentMeaning": "The current conservative_penalty adjustment retains the existing formula used by the shared family-fit core."
  },
  "lookbackSummary": [
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      "lookbackDays": 30,
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      "bestPortfolioSize": 2,
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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": "4535cf1bd1cb6d41e141ffa02c6fc15c3db3ec7b20fee3c2b56705e7cfa9ea3b",
    "size": 13,
    "members": [
      "SMH",
      "UBER",
      "XLB",
      "XLC",
      "XLE",
      "XLF",
      "XLI",
      "XLK",
      "XLP",
      "XLRE",
      "XLU",
      "XLV",
      "XLY"
    ],
    "version": 1
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  "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
-
Trend 1m
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Trend 1w
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Trend 1y
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Trend 2w
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Trend 2y
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Trend 3m
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Trend 5y
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Trend 6m
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Volatility 1m
-
Volatility 1w
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Volatility 1y
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Volatility 2w
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Volatility 2y
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Volatility 3m
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Volatility 5y
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Volatility 6m
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Composite scores
Top-level ranking signals surfaced on the page.
10 fields
Cap
0.699
Liquidity
1
Momentum
0.441
Relative strength
0.245
Trend quality
0.355
Stability
0.578
Aggression
0.445
Downside risk
0.533
Drawdown state
0.486
Quality momentum
0.389
Vector snapshot
Feature coverage: 100%
Normalized features
Bounded [0,1] features used for ranking and clustering.
82 fields
Inverse To Benchmark 1y
0.649
Benchmark Independence 3m Score
0.741
Beta 1y Profile Score
0.374
Beta 3m Profile Score
0.304
Beta Change Score
0.412
Correlation Change Score
0.454
Current Drawdown Score
0.521
Days Since 52w High Score
0.790
Distance From 52w High Score
0.521
Distance From Sma 20 Score
0.406
Distance From Sma 200 Score
0.280
Distance From Sma 50 Score
0.418
Downside Volatility 1m Score
0.385
Downside Volatility 1w Score
0.267
Downside Volatility 1y Score
0.383
Downside Volatility 2y Score
0.416
Downside Volatility 3m Score
0.354
Downside Volatility 5y Score
0.486
Downside Volatility 6m Score
0.374
Drawdown Recovery Score
0.507
Excess Return 1m Score
0.471
Excess Return 1y Score
0
Excess Return 3m Score
0.285
Excess Return 6m Score
0.058
Expected Shortfall 95 1y Score
0.550
Log Avg Dollar Volume 20d Score
1
Log Market Cap Score
0.699
Drawdown Score 1m
0.617
Drawdown Score 1y
0.516
Drawdown Score 2y
0.607
Drawdown Score 3m
0.667
Drawdown Score 5y
0.423
Drawdown Score 6m
0.662
Momentum Acceleration 1m Vs 3m Score
0.562
Momentum Acceleration 3m Vs 6m Score
0.503
Moving Average Alignment Score
0.250
Relative Strength Acceleration Score
0.463
Relative Strength Slope 3m Score
0.417
Relative Volume 20d Score
0.236
Return 1m Score
0.482
Return 1w Score
0.269
Return 1y Score
0.344
Return 2y Score
0.297
Return 3m Score
0.390
Return 5y Score
0.114
Return 6m Score
0.348
Return Skewness 1y Score
0.558
Sector Excess Return 1y Score
0
Sharpe 1m Score
0.377
Sharpe 1y Score
0.264
Sharpe 2y Score
0.448
Sharpe 3m Score
0.245
Sharpe 5y Score
0.480
Sharpe 6m Score
0.212
Sortino 1m Score
0.357
Sortino 1y Score
0.290
Sortino 2y Score
0.407
Sortino 3m Score
0.257
Sortino 5y Score
0.429
Sortino 6m Score
0.247
Trend R2 1m Score
0.131
Trend R2 1w Score
0.959
Trend R2 1y Score
0.792
Trend R2 2y Score
0.066
Trend R2 3m Score
0.179
Trend R2 5y Score
0.686
Trend R2 6m Score
0.199
Trend Slope 1m Score
0.413
Trend Slope 1w Score
0
Trend Slope 1y Score
0.412
Trend Slope 2y Score
0.514
Trend Slope 3m Score
0.457
Trend Slope 5y Score
0.561
Trend Slope 6m Score
0.469
Volatility 1m Score
0.492
Volatility 1w Score
0.094
Volatility 1y Score
0.385
Volatility 2y Score
0.446
Volatility 3m Score
0.446
Volatility 5y Score
0.533
Volatility 6m Score
0.413
Worst Day 1y Score
0.655
Raw values
Underlying economic values before normalization.
89 fields
Avg Dollar Volume 20d
1,358,716,668.164
Best Day 1y
0.085
Beta To Benchmark 1y
0.936
Beta 3m
0.760
Beta Change
-0.175
Beta To Sector 1y
0.364
Correlation To Benchmark 1y
0.351
Correlation 3m
0.259
Correlation Change
-0.092
Correlation To Sector 1y
0.266
Cluster features
The subset used for clustering and coverage calculations.
40 fields
Inverse To Benchmark 1y
0.649
Benchmark Independence 3m Score
0.741
Beta 1y Profile Score
0.374
Beta 3m Profile Score
0.304
Beta Change Score
0.412
Correlation Change Score
0.454
Current Drawdown Score
0.521
Distance From Sma 20 Score
0.406
Distance From Sma 200 Score
0.280
Current Drawdown
-0.312
Days Since 52w High
199
Distance From 52w High
-0.312
Distance From Sma 20
-0.057
Distance From Sma 200
-0.132
Distance From Sma 50
-0.049
Downside Capture 1y
0.874
Downside Volatility 1m
0.338
Downside Volatility 1w
0.250
Downside Volatility 1y
0.337
Downside Volatility 2y
0.362
Downside Volatility 3m
0.315
Downside Volatility 5y
0.414
Downside Volatility 6m
0.330
Drawdown Recovery
0.014
Excess Return 1m
-0.017
Excess Return 1y
-0.436
Excess Return 3m
-0.129
Excess Return 6m
-0.265
Expected Shortfall 95 1y
-0.045
Market Cap
134,227,398,917.22
Max Drawdown 1m
-0.096
Max Drawdown 1w
-0.069
Max Drawdown 1y
-0.315
Max Drawdown 2y
-0.315
Max Drawdown 3m
-0.133
Max Drawdown 5y
-0.577
Max Drawdown 6m
-0.186
Momentum Acceleration 1m Vs 3m
0.019
Momentum Acceleration 3m Vs 6m
0.001
Moving Average Alignment
-0.500
Relative Strength Acceleration
-0.001
Relative Strength Slope 3m
-0.001
Relative Volume 20d
0.936
Return 1m
-0.011
Return 1w
-0.069
Return 1y
-0.249
Return 2y
0.040
Return 3m
-0.088
Return 5y
0.484
Return 6m
-0.182
Return Skewness 1y
0.346
Sector Excess Return 1y
-0.636
Sharpe 1m
-0.117
Sharpe 1y
-0.678
Sharpe 2y
0.242
Sharpe 3m
-0.775
Sharpe 5y
0.398
Sharpe 6m
-0.940
Sortino 1m
-0.145
Sortino 1y
-0.681
Sortino 2y
0.256
Sortino 3m
-0.945
Sortino 5y
0.432
Sortino 6m
-1.025
Trend R2 1m
0.131
Trend R2 1w
0.959
Trend R2 1y
0.792
Trend R2 2y
0.066
Trend R2 3m
0.179
Trend R2 5y
0.686
Trend R2 6m
0.199
Trend 1m
-0.001
Trend 1w
-0.013
Trend 1y
-0.001
Trend 2y
0.000
Trend 3m
-0.001
Trend 5y
0.001
Trend 6m
-0.000
Upside Capture 1y
0.724
Value At Risk 95 1y
-0.034
Volatility 1m
0.419
Volatility 1w
0.120
Volatility 1y
0.339
Volatility 2y
0.384
Volatility 3m
0.384
Volatility 5y
0.450
Volatility 6m
0.360
Worst Day 1y
-0.069
Distance From Sma 50 Score
0.418
Downside Volatility 1y Score
0.383
Downside Volatility 3m Score
0.354
Drawdown Recovery Score
0.507
Excess Return 1m Score
0.471
Excess Return 1y Score
0
Excess Return 3m Score
0.285
Excess Return 6m Score
0.058
Expected Shortfall 95 1y Score
0.550
Log Avg Dollar Volume 20d Score
1
Log Market Cap Score
0.699
Drawdown Score 1y
0.516
Drawdown Score 5y
0.423
Momentum Acceleration 1m Vs 3m Score
0.562
Momentum Acceleration 3m Vs 6m Score
0.503
Moving Average Alignment Score
0.250
Relative Strength Acceleration Score
0.463
Relative Volume 20d Score
0.236
Return 1m Score
0.482
Return 1y Score
0.344
Return 3m Score
0.390
Return 6m Score
0.348
Return Skewness 1y Score
0.558
Sortino 1y Score
0.290
Sortino 3m Score
0.257
Trend R2 1y Score
0.792
Trend R2 3m Score
0.179
Trend Slope 1y Score
0.412
Trend Slope 3m Score
0.457
Volatility 1y Score
0.385
Volatility 3m Score
0.446