VADIEβ„’ Research Archive

Historical Decision Report

Official autonomous portfolio evidence retained from the VisionX AI competition record.
Portfolio #256 Competition C227 Portfolio Engine v5.6.0 OPEN
Research Identity

VDX Daily Top Picks #20261026

Strategy: cmc_v4_daily_long_short
Submitted: 2026-10-24 00:05:02
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
Weak
Confidence
High
Expected Alpha
0.818
Optimizer
0.818
Portfolio Quality
0.965
Portfolio Risk
0.883
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
0.813721
Memory Adjustment
0.004667
Expected Alpha
0.818388
Correlation Score
0.350283
Correlation Penalty
0.000000
Final Optimizer Score
0.818388

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 Intelligenceβ„’
Engine Version
v5.6.0
Engine Build
2026.07.25
Engine Mode
Long/Short Expected Alpha
Generated
2026-10-24 00:05:02
Historical Portfolio

Autonomous Decisions

Decision evidence exactly as retained when this portfolio was generated.
3 picks
LONG PAXG Decision #1
Sector: Rwa Β· Pump risk: Low Β· Crash risk: Low
Decision Score
0.593
Decision Score Mathematics

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

LONG = clamp(raw - exhaustion - crash, 0, 1)
Raw LONG Score
0.594064
Exhaustion Penalty
0.001073
After Exhaustion
0.592991
Crash Guard Penalty
0.000000
Final Selection Score
0.592991
LONG Candidate Blocked
No
Confidence Calibration
Raw Confidence: 96
Confidence Cap: 94
Final Confidence Index: 94
Calibration Samples: 89

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 0.454159 0.454159 0.131799665
Trend 0.199454 0.453494 0.453494 0.087737785
Liquidity 0.142410 1.000000 1.000000 0.138138054
Market Quality 0.079750 0.739113 0.739113 0.057175794
Risk Control 0.079750 0.900199 0.900199 0.069636973
Rank 0.059836 0.605042 0.605042 0.035117363
Relative Strength 0.059836 0.455771 0.455771 0.026453495
Trend Acceleration 0.079782 0.474000 0.474000 0.036682038
Factor Total: 0.582741169
Macro Contribution: 0.011322630
Reconstructed Raw Score: 0.594064
Historical Raw Score: 0.594064

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

Positive Evidence
βœ“ High liquidity
βœ“ High market quality
βœ“ Controlled risk
βœ“ Positive sector tags
Negative Evidence
No negative factors recorded.
Momentum 45%
Trend 45%
Liquidity 100%
Market Quality 74%
Risk Control 90%
Relative Strength 46%
Trend Acceleration 47%
Sector Rotation 41%
Sector Strength 39%
Supply Quality 100%
Mean Reversion Risk 35%
Momentum Exhaustion 38%
LONG BAT Decision #2
Sector: Defi Β· Pump risk: Low Β· Crash risk: Low
Decision Score
0.592
Decision Score Mathematics

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

LONG = clamp(raw - exhaustion - crash, 0, 1)
Raw LONG Score
0.626086
Exhaustion Penalty
0.033818
After Exhaustion
0.592268
Crash Guard Penalty
0.000000
Final Selection Score
0.592268
LONG Candidate Blocked
No
Confidence Calibration
Raw Confidence: 96
Confidence Cap: 94
Final Confidence Index: 94
Calibration Samples: 89

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 0.812467 0.812467 0.235782795
Trend 0.199454 0.654204 0.654204 0.126569282
Liquidity 0.142410 0.770030 0.770030 0.106370446
Market Quality 0.079750 0.525922 0.525922 0.040683911
Risk Control 0.079750 0.851271 0.851271 0.065852035
Rank 0.059836 0.016807 0.016807 0.000975498
Relative Strength 0.059836 0.663829 0.663829 0.038529431
Trend Acceleration 0.079782 0.000000 0.000000 0.000000000
Factor Total: 0.614763400
Macro Contribution: 0.011322630
Reconstructed Raw Score: 0.626086
Historical Raw Score: 0.626086

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

Positive Evidence
βœ“ Strong momentum
βœ“ High liquidity
βœ“ Controlled risk
βœ“ Positive sector tags
Negative Evidence
! Momentum appears extended
Momentum 81%
Trend 65%
Liquidity 77%
Market Quality 53%
Risk Control 85%
Relative Strength 66%
Trend Acceleration 0%
Sector Rotation 44%
Sector Strength 40%
Supply Quality 100%
Mean Reversion Risk 46%
Momentum Exhaustion 59%
SHORT AAVE Decision #3
Sector: Defi Β· Pump risk: Low Β· Crash risk: Low
Decision Score
0.652
Decision Score Mathematics

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

SHORT = clamp(raw - rebound, 0, 1)
Raw SHORT Score
0.651526
Rebound Penalty
0.000000
After Rebound
0.651526
Final Selection Score
0.651526
Confidence Calibration
Raw Confidence: 97
Confidence Cap: 94
Final Confidence Index: 94
Calibration Samples: 89

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 0.508366 0.491634 0.147087768
Trend (inverted) 0.199454 0.530565 0.469435 0.093630826
Liquidity 0.142410 0.832867 0.832867 0.118608894
Market Quality 0.079750 0.842991 0.842991 0.067228367
Risk Control 0.079750 0.898706 0.898706 0.071671628
Rank 0.059836 0.689076 0.689076 0.041231750
Relative Strength (inverted) 0.059836 0.460436 0.539564 0.032285507
Trend Acceleration (inverted) 0.079782 0.000000 1.000000 0.079781717
Factor Total: 0.651526457
Reconstructed Raw Score: 0.651526
Historical Raw Score: 0.651526

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

Positive Evidence
βœ“ High liquidity
βœ“ High market quality
βœ“ Controlled risk
βœ“ Positive sector tags
Negative Evidence
No negative factors recorded.
Momentum 51%
Trend 53%
Liquidity 83%
Market Quality 84%
Risk Control 90%
Relative Strength 46%
Trend Acceleration 0%
Sector Rotation 44%
Sector Strength 40%
Supply Quality 96%
Mean Reversion Risk 32%
Momentum Exhaustion 40%
Learning Audit

Factor Intelligence

Portfolio-level audit summary. Each observation represents one stored pick-factor result.
Factor Average Range Weight Records
Breadth 0.250 0.250 – 0.250 1.0000 3
Btc Relative Strength 0.399 0.317 – 0.462 1.0000 3
Depth 0.533 0.288 – 0.917 1.0000 3
Eth Relative Strength 0.412 0.330 – 0.475 1.0000 3
Extension 0.007 0.000 – 0.022 1.0000 3
Liquidity 0.868 0.770 – 1.000 1.0200 3
Macro Btc Dominance 0.723 0.723 – 0.723 1.0000 3
Macro Eth Dominance 0.209 0.209 – 0.209 1.0000 3
Macro Fear Greed 0.000 0.000 – 0.000 1.0000 3
Market Quality 0.703 0.526 – 0.843 0.9996 3
Mean Reversion Risk 0.378 0.319 – 0.463 1.0000 3
Momentum 0.592 0.454 – 0.812 1.0000 3
Momentum Exhaustion 0.458 0.378 – 0.593 1.0000 3
Pump Risk 0.200 0.200 – 0.200 1.0000 3
Rank 0.437 0.017 – 0.689 1.0000 3
Relative Strength 0.527 0.456 – 0.664 1.0000 3
Risk Control 0.883 0.851 – 0.900 0.9996 3
Sector Rotation 0.428 0.412 – 0.435 1.0000 3
Sector Strength 0.399 0.394 – 0.401 1.0000 3
Supply Quality 0.987 0.965 – 1.000 1.0200 3
Trend 0.546 0.453 – 0.654 1.0000 3
Trend Acceleration 0.158 0.000 – 0.474 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.