VADIE™ Research Archive

Historical Decision Report

Official autonomous portfolio evidence retained from the VisionX AI competition record.
Portfolio #151 Competition C122 Portfolio Engine v5.6.0 SETTLED
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Research Identity

VDX Daily Top Picks #20260729

Strategy: cmc_v4_daily_long_short
Submitted: 2026-07-27 00:05:01
Scored: 2026-08-17 02:10:01
Final Rank
#1
Rank reflects relative competition performance.
Final Score
0.2222%
Engine Status
LIVE
Payout
No payout recorded
Portfolio Environment

Decision Context

Market Regime
Neutral
Macro Regime
Neutral
Breadth
Weak
Confidence
High
Expected Alpha
0.809
Optimizer
0.809
Portfolio Quality
0.913
Portfolio Risk
0.710
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
0.815316
Memory Adjustment
-0.006667
Expected Alpha
0.808649
Correlation Score
0.301300
Correlation Penalty
0.000000
Final Optimizer Score
0.808649

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
2026-07-27 00:05:01
Historical Portfolio

Autonomous Decisions

Decision evidence exactly as retained when this portfolio was generated.
3 picks
LONG PEPE Decision #1
Sector: Meme · Pump risk: Low · Crash risk: Low
Decision Score
0.672
Decision Score Mathematics

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

LONG = clamp(raw - exhaustion - crash, 0, 1)
Raw LONG Score
0.680865
Exhaustion Penalty
0.008922
After Exhaustion
0.671944
Crash Guard Penalty
0.000000
Final Selection Score
0.671944
LONG Candidate Blocked
No
Confidence Calibration
Raw Confidence: 99
Confidence Cap: 85
Final Confidence Index: 85
Calibration Samples: 0

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 0.299181 0.592990 0.592990 0.172089254
Trend 0.199454 0.572074 0.572074 0.110679537
Liquidity 0.142410 1.000000 1.000000 0.138138054
Market Quality 0.079750 0.737768 0.737768 0.057071748
Risk Control 0.079750 0.709547 0.709547 0.054888648
Rank 0.059836 0.605042 0.605042 0.035117363
Relative Strength 0.059836 0.654550 0.654550 0.037990867
Trend Acceleration 0.079782 0.829500 0.829500 0.064193566
Factor Total: 0.670169037
Macro Contribution: 0.010696410
Reconstructed Raw Score: 0.680865
Historical Raw Score: 0.680865

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

Positive Evidence
✓ High liquidity
✓ High market quality
✓ Controlled risk
✓ Positive sector tags
Negative Evidence
! Risk sector tags
Momentum 59%
Trend 57%
Liquidity 100%
Market Quality 74%
Risk Control 71%
Relative Strength 65%
Trend Acceleration 83%
Sector Rotation 34%
Sector Strength 35%
Supply Quality 100%
Mean Reversion Risk 38%
Momentum Exhaustion 39%
LONG AAVE Decision #2
Sector: Defi · Pump risk: Low · Crash risk: Low
Decision Score
0.671
Decision Score Mathematics

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

LONG = clamp(raw - exhaustion - crash, 0, 1)
Raw LONG Score
0.674527
Exhaustion Penalty
0.003602
After Exhaustion
0.670925
Crash Guard Penalty
0.000000
Final Selection Score
0.670925
LONG Candidate Blocked
No
Confidence Calibration
Raw Confidence: 98
Confidence Cap: 85
Final Confidence Index: 85
Calibration Samples: 0

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 0.299181 0.624081 0.624081 0.181112048
Trend 0.199454 0.629385 0.629385 0.121767534
Liquidity 0.142410 1.000000 1.000000 0.138138054
Market Quality 0.079750 0.866125 0.866125 0.067001100
Risk Control 0.079750 0.846033 0.846033 0.065446837
Rank 0.059836 0.647059 0.647059 0.037556080
Relative Strength 0.059836 0.639850 0.639850 0.037137661
Trend Acceleration 0.079782 0.202500 0.202500 0.015671124
Factor Total: 0.663830440
Macro Contribution: 0.010696410
Reconstructed Raw Score: 0.674527
Historical Raw Score: 0.674527

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

Positive Evidence
✓ High liquidity
✓ High market quality
✓ Controlled risk
✓ Positive sector tags
Negative Evidence
No negative factors recorded.
Momentum 62%
Trend 63%
Liquidity 100%
Market Quality 87%
Risk Control 85%
Relative Strength 64%
Trend Acceleration 20%
Sector Rotation 60%
Sector Strength 49%
Supply Quality 96%
Mean Reversion Risk 36%
Momentum Exhaustion 45%
SHORT DEXE Decision #3
Sector: Defi · Pump risk: Low · Crash risk: Extreme
Decision Score
0.822
Decision Score Mathematics

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

SHORT = clamp(raw - rebound, 0, 1)
Raw SHORT Score
0.821654
Rebound Penalty
0.000000
After Rebound
0.821654
Final Selection Score
0.821654
Confidence Calibration
Raw Confidence: 99
Confidence Cap: 85
Final Confidence Index: 85
Calibration Samples: 0

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) 0.299181 0.000000 1.000000 0.299181440
Trend (inverted) 0.199454 0.000000 1.000000 0.199454293
Liquidity 0.142410 1.000000 1.000000 0.142410365
Market Quality 0.079750 0.557237 0.557237 0.044439542
Risk Control 0.079750 0.573686 0.573686 0.045751346
Rank 0.059836 0.168067 0.168067 0.010056505
Relative Strength (inverted) 0.059836 0.000000 1.000000 0.059836288
Trend Acceleration (inverted) 0.079782 0.742750 0.257250 0.020523847
Factor Total: 0.821653626
Reconstructed Raw Score: 0.821654
Historical Raw Score: 0.821654

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

Positive Evidence
✓ High liquidity
✓ Positive sector tags
Negative Evidence
! Extreme crash risk
! Weak momentum
! Weak trend
Momentum 0%
Trend 0%
Liquidity 100%
Market Quality 56%
Risk Control 57%
Relative Strength 0%
Trend Acceleration 74%
Sector Rotation 60%
Sector Strength 49%
Supply Quality 87%
Mean Reversion Risk 29%
Momentum Exhaustion 13%
Learning Audit

Factor Intelligence

Portfolio-level audit summary. Each observation represents one stored pick-factor result.
Factor Average Range Weight Records
Breadth 0.000 0.000 – 0.000 1.0000 3
Btc Relative Strength 0.400 0.000 – 0.645 1.0000 3
Depth 0.491 0.133 – 0.887 1.0000 3
Eth Relative Strength 0.374 0.000 – 0.606 1.0000 3
Extension 0.000 0.000 – 0.000 1.0000 3
Liquidity 1.000 1.000 – 1.000 1.0200 3
Macro Btc Dominance 0.682 0.682 – 0.682 1.0000 3
Macro Eth Dominance 0.198 0.198 – 0.198 1.0000 3
Macro Fear Greed 0.000 0.000 – 0.000 1.0000 3
Market Quality 0.720 0.557 – 0.866 0.9996 3
Mean Reversion Risk 0.345 0.293 – 0.380 1.0000 3
Momentum 0.406 0.000 – 0.624 1.0000 3
Momentum Exhaustion 0.320 0.125 – 0.446 1.0000 3
Pump Risk 0.200 0.200 – 0.200 1.0000 3
Rank 0.473 0.168 – 0.647 1.0000 3
Relative Strength 0.431 0.000 – 0.655 1.0000 3
Risk Control 0.710 0.574 – 0.846 0.9996 3
Sector Rotation 0.511 0.344 – 0.595 1.0000 3
Sector Strength 0.444 0.347 – 0.492 1.0000 3
Supply Quality 0.944 0.868 – 1.000 1.0200 3
Trend 0.400 0.000 – 0.629 1.0000 3
Trend Acceleration 0.592 0.203 – 0.830 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.