VADIE™ Research Archive

Historical Decision Report

Official autonomous portfolio evidence retained from the VisionX AI competition record.
Portfolio #243 Competition C214 Portfolio Engine v5.6.0 OPEN
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Research Identity

VDX Weekly Top Picks #2026-W44

Strategy: cmc_v4_weekly_long_short
Submitted: 2026-10-12 00:20:03
Scored: Not recorded
Final Rank
Not recorded
Rank reflects relative competition performance.
Final Score
Not recorded
Engine Status
LIVE
Payout
No payout recorded
Portfolio Environment

Decision Context

Market Regime
Neutral
Macro Regime
Neutral
Breadth
Neutral
Confidence
High
Expected Alpha
0.830
Optimizer
0.830
Portfolio Quality
0.942
Portfolio Risk
0.808
Balance
1.000
Diversification
1.000
Decision Mathematics

Historical VADIE portfolio optimization. Values are taken from the original AI decision record.

Expected Alpha = clamp(Before Memory + Memory Adjustment, 0, 1)

Alpha Before Memory
0.832851
Memory Adjustment
-0.002667
Expected Alpha
0.830184
Correlation Score
0.282242
Correlation Penalty
0.000000
Final Optimizer Score
0.830184

Optimizer Score = clamp(Expected Alpha - Correlation Penalty, 0, 1)

Scores are normalized AI selection metrics, not predictions of financial returns. Risk Control measures risk-management quality; higher values do not necessarily mean higher risk.

Engine Provenance

Generation Record

Engine Family
Adaptive Decision Intelligence™
Engine Version
v5.6.0
Engine Build
2026.07.25
Engine Mode
Long/Short Expected Alpha
Generated
2026-10-12 00:20:03
Historical Portfolio

Autonomous Decisions

Decision evidence exactly as retained when this portfolio was generated.
3 picks
LONG ENA Decision #1
Sector: Defi · Pump risk: Low · Crash risk: Low
Decision Score
0.748
Decision Score Mathematics

Historical scoring components retained at the time of this AI decision.

LONG = clamp(raw - exhaustion - crash, 0, 1)
Raw LONG Score
0.764635
Exhaustion Penalty
0.016647
After Exhaustion
0.747989
Crash Guard Penalty
0.000000
Final Selection Score
0.747989
LONG Candidate Blocked
No
Confidence Calibration
Raw Confidence: 98
Confidence Cap: 94
Final Confidence Index: 94
Calibration Samples: 76

Historical components are stored at rounded precision. Recalculations may differ by a small rounding amount. Confidence is an internal AI index, not a probability of profit.

Factor Contribution Mathematics

Historical factor weights and score inputs. SHORT reverses momentum, trend, relative strength and trend acceleration.

Factor Weight Input Effective Contribution
Momentum 0.181014 0.944587 0.944587 0.165853671
Trend 0.221239 0.760222 0.760222 0.163144987
Liquidity 0.160901 1.000000 1.000000 0.156074014
Market Quality 0.147828 0.723360 0.723360 0.103724761
Risk Control 0.128117 0.624989 0.624989 0.077669842
Rank 0.060338 0.747899 0.747899 0.043772850
Relative Strength 0.060338 0.738943 0.738943 0.043248675
Trend Acceleration 0.040225 0.000000 0.000000 0.000000000
Factor Total: 0.753488800
Macro Contribution: 0.011146320
Reconstructed Raw Score: 0.764635
Historical Raw Score: 0.764635

Verified within 0.000002 rounding tolerance. Bars are relative to the largest contribution. AI scores do not represent financial returns.

Positive Evidence
✓ Strong momentum
✓ Strong trend
✓ High liquidity
✓ High market quality
✓ Positive sector tags
Negative Evidence
! Momentum appears extended
Momentum 94%
Trend 76%
Liquidity 100%
Market Quality 72%
Risk Control 62%
Relative Strength 74%
Trend Acceleration 0%
Sector Rotation 62%
Sector Strength 51%
Supply Quality 89%
Mean Reversion Risk 42%
Momentum Exhaustion 65%
LONG INJ Decision #2
Sector: Layer1 · Pump risk: Low · Crash risk: Low
Decision Score
0.725
Decision Score Mathematics

Historical scoring components retained at the time of this AI decision.

LONG = clamp(raw - exhaustion - crash, 0, 1)
Raw LONG Score
0.724792
Exhaustion Penalty
0.000000
After Exhaustion
0.724792
Crash Guard Penalty
0.000000
Final Selection Score
0.724792
LONG Candidate Blocked
No
Confidence Calibration
Raw Confidence: 95
Confidence Cap: 94
Final Confidence Index: 94
Calibration Samples: 76

Historical components are stored at rounded precision. Recalculations may differ by a small rounding amount. Confidence is an internal AI index, not a probability of profit.

Factor Contribution Mathematics

Historical factor weights and score inputs. SHORT reverses momentum, trend, relative strength and trend acceleration.

Factor Weight Input Effective Contribution
Momentum 0.181014 0.679884 0.679884 0.119376253
Trend 0.221239 0.706138 0.706138 0.151538465
Liquidity 0.160901 1.000000 1.000000 0.156074014
Market Quality 0.147828 0.689026 0.689026 0.098801506
Risk Control 0.128117 0.889873 0.889873 0.110588018
Rank 0.060338 0.361345 0.361345 0.021148712
Relative Strength 0.060338 0.612664 0.612664 0.035857849
Trend Acceleration 0.040225 0.519250 0.519250 0.020260358
Factor Total: 0.713645175
Macro Contribution: 0.011146320
Reconstructed Raw Score: 0.724791
Historical Raw Score: 0.724792

Verified within 0.000002 rounding tolerance. Bars are relative to the largest contribution. AI scores do not represent financial returns.

Positive Evidence
✓ Strong trend
✓ High liquidity
✓ Controlled risk
✓ Positive sector tags
Negative Evidence
No negative factors recorded.
Momentum 68%
Trend 71%
Liquidity 100%
Market Quality 69%
Risk Control 89%
Relative Strength 61%
Trend Acceleration 52%
Sector Rotation 64%
Sector Strength 53%
Supply Quality 100%
Mean Reversion Risk 32%
Momentum Exhaustion 46%
SHORT PAXG Decision #3
Sector: Rwa · Pump risk: Low · Crash risk: Low
Decision Score
0.574
Decision Score Mathematics

Historical scoring components retained at the time of this AI decision.

SHORT = clamp(raw - rebound, 0, 1)
Raw SHORT Score
0.574040
Rebound Penalty
0.000000
After Rebound
0.574040
Final Selection Score
0.574040
Confidence Calibration
Raw Confidence: 96
Confidence Cap: 94
Final Confidence Index: 94
Calibration Samples: 76

Historical components are stored at rounded precision. Recalculations may differ by a small rounding amount. Confidence is an internal AI index, not a probability of profit.

Factor Contribution Mathematics

Historical factor weights and score inputs. SHORT reverses momentum, trend, relative strength and trend acceleration.

Factor Weight Input Effective Contribution
Momentum (inverted) 0.181014 0.493599 0.506401 0.091665507
Trend (inverted) 0.221239 0.495670 0.504330 0.111577434
Liquidity 0.160901 0.499793 0.499793 0.080417216
Market Quality 0.147828 0.611007 0.611007 0.090323843
Risk Control 0.128117 0.908802 0.908802 0.116433402
Rank 0.060338 0.596639 0.596639 0.035999940
Relative Strength (inverted) 0.060338 0.493236 0.506764 0.030577072
Trend Acceleration (inverted) 0.040225 0.576250 0.423750 0.017045455
Factor Total: 0.574039867
Reconstructed Raw Score: 0.574040
Historical Raw Score: 0.574040

Verified within 0.000002 rounding tolerance. Bars are relative to the largest contribution. AI scores do not represent financial returns.

Positive Evidence
✓ Controlled risk
✓ Positive sector tags
Negative Evidence
No negative factors recorded.
Momentum 49%
Trend 50%
Liquidity 50%
Market Quality 61%
Risk Control 91%
Relative Strength 49%
Trend Acceleration 58%
Sector Rotation 58%
Sector Strength 55%
Supply Quality 100%
Mean Reversion Risk 35%
Momentum Exhaustion 38%
Learning Audit

Factor Intelligence

Portfolio-level audit summary. Each observation represents one stored pick-factor result.
Factor Average Range Weight Records
Breadth 0.619 0.619 – 0.619 1.0000 3
Btc Relative Strength 0.543 0.520 – 0.557 1.0000 3
Depth 0.336 0.285 – 0.403 1.0000 3
Eth Relative Strength 0.589 0.567 – 0.604 1.0000 3
Extension 0.007 0.000 – 0.020 1.0000 3
Liquidity 0.833 0.500 – 1.000 1.0000 3
Macro Btc Dominance 0.703 0.703 – 0.703 1.0000 3
Macro Eth Dominance 0.221 0.221 – 0.221 1.0000 3
Macro Fear Greed 0.000 0.000 – 0.000 1.0000 3
Market Quality 0.674 0.611 – 0.723 0.9800 3
Mean Reversion Risk 0.364 0.323 – 0.419 1.0000 3
Momentum 0.706 0.494 – 0.945 1.0000 3
Momentum Exhaustion 0.498 0.382 – 0.654 1.0000 3
Pump Risk 0.200 0.200 – 0.200 1.0000 3
Rank 0.569 0.361 – 0.748 1.0000 3
Relative Strength 0.615 0.493 – 0.739 1.0000 3
Risk Control 0.808 0.625 – 0.909 0.9800 3
Sector Rotation 0.613 0.585 – 0.636 1.0000 3
Sector Strength 0.526 0.507 – 0.545 1.0000 3
Supply Quality 0.964 0.894 – 1.000 1.0000 3
Trend 0.654 0.496 – 0.760 1.0000 3
Trend Acceleration 0.365 0.000 – 0.576 1.0000 3
Outcome Intelligence

Failure Attribution

Post-competition attribution retained by the learning engine.
No attribution record available for this engine generation.
Research output only. This report displays historical metadata retained at portfolio generation and official competition outcome data. Missing information is not reconstructed retroactively.