VADIE™ Research Archive

Historical Decision Report

Official autonomous portfolio evidence retained from the VisionX AI competition record.
Portfolio #154 Competition C125 Portfolio Engine v5.6.0 SETTLED
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Research Identity

VDX Daily Top Picks #20260731

Strategy: cmc_v4_daily_long_short
Submitted: 2026-07-29 00:05:02
Scored: 2026-08-17 02:10:01
Final Rank
#1
Rank reflects relative competition performance.
Final Score
-4.6119%
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
0.936
Portfolio Risk
0.786
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
0.811894
Memory Adjustment
-0.002667
Expected Alpha
0.809227
Correlation Score
0.323550
Correlation Penalty
0.000000
Final Optimizer Score
0.809227

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
2026-07-29 00:05:02
Historical Portfolio

Autonomous Decisions

Decision evidence exactly as retained when this portfolio was generated.
3 picks
LONG UNI Decision #1
Sector: Defi · Pump risk: Low · Crash risk: Low
Decision Score
0.705
Decision Score Mathematics

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

LONG = clamp(raw - exhaustion - crash, 0, 1)
Raw LONG Score
0.704604
Exhaustion Penalty
0.000000
After Exhaustion
0.704604
Crash Guard Penalty
0.000000
Final Selection Score
0.704604
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 0.653460 0.653460 0.189638010
Trend 0.199454 0.654357 0.654357 0.126598883
Liquidity 0.142410 0.980001 0.980001 0.135375431
Market Quality 0.079750 0.867671 0.867671 0.067120695
Risk Control 0.079750 0.800138 0.800138 0.061896524
Rank 0.059836 0.739496 0.739496 0.042921235
Relative Strength 0.059836 0.654186 0.654186 0.037969740
Trend Acceleration 0.079782 0.419000 0.419000 0.032425683
Factor Total: 0.693946202
Macro Contribution: 0.010657890
Reconstructed Raw Score: 0.704604
Historical Raw Score: 0.704604

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 65%
Trend 65%
Liquidity 98%
Market Quality 87%
Risk Control 80%
Relative Strength 65%
Trend Acceleration 42%
Sector Rotation 60%
Sector Strength 49%
Supply Quality 70%
Mean Reversion Risk 34%
Momentum Exhaustion 42%
LONG SUN Decision #2
Sector: Other · Pump risk: Low · Crash risk: Low
Decision Score
0.550
Decision Score Mathematics

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

LONG = clamp(raw - exhaustion - crash, 0, 1)
Raw LONG Score
0.571581
Exhaustion Penalty
0.022015
After Exhaustion
0.549566
Crash Guard Penalty
0.000000
Final Selection Score
0.549566
LONG Candidate Blocked
No
Confidence Calibration
Raw Confidence: 94
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 0.485091 0.485091 0.140776317
Trend 0.199454 0.480505 0.480505 0.092963622
Liquidity 0.142410 1.000000 1.000000 0.138138054
Market Quality 0.079750 0.598649 0.598649 0.046309877
Risk Control 0.079750 0.875250 0.875250 0.067706986
Rank 0.059836 0.252101 0.252101 0.014632244
Relative Strength 0.059836 0.486907 0.486907 0.028260666
Trend Acceleration 0.079782 0.415250 0.415250 0.032135477
Factor Total: 0.560923243
Macro Contribution: 0.010657890
Reconstructed Raw Score: 0.571581
Historical Raw Score: 0.571581

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

Positive Evidence
✓ High liquidity
✓ Controlled risk
Negative Evidence
No negative factors recorded.
Momentum 49%
Trend 48%
Liquidity 100%
Market Quality 60%
Risk Control 88%
Relative Strength 49%
Trend Acceleration 42%
Sector Rotation 40%
Sector Strength 38%
Supply Quality 97%
Mean Reversion Risk 42%
Momentum Exhaustion 42%
SHORT DEXE Decision #3
Sector: Defi · Pump risk: Low · Crash risk: High
Decision Score
0.805
Decision Score Mathematics

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

SHORT = clamp(raw - rebound, 0, 1)
Raw SHORT Score
0.805223
Rebound Penalty
0.000000
After Rebound
0.805223
Final Selection Score
0.805223
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 0.061534 0.938466 0.280771609
Trend (inverted) 0.199454 0.158807 0.841193 0.167779555
Liquidity 0.142410 1.000000 1.000000 0.142410365
Market Quality 0.079750 0.529772 0.529772 0.042249213
Risk Control 0.079750 0.683869 0.683869 0.054538419
Rank 0.059836 0.075630 0.075630 0.004525418
Relative Strength (inverted) 0.059836 0.053379 0.946621 0.056642287
Trend Acceleration (inverted) 0.079782 0.294250 0.705750 0.056305947
Factor Total: 0.805222814
Reconstructed Raw Score: 0.805223
Historical Raw Score: 0.805223

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
! High crash risk
! Weak momentum
! Weak trend
Momentum 6%
Trend 16%
Liquidity 100%
Market Quality 53%
Risk Control 68%
Relative Strength 5%
Trend Acceleration 29%
Sector Rotation 60%
Sector Strength 49%
Supply Quality 87%
Mean Reversion Risk 34%
Momentum Exhaustion 22%
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 0.368 0.000 – 0.612 1.0000 3
Depth 0.418 0.135 – 0.979 1.0000 3
Eth Relative Strength 0.340 0.000 – 0.569 1.0000 3
Extension 0.000 0.000 – 0.000 1.0000 3
Liquidity 0.993 0.980 – 1.000 1.0200 3
Macro Btc Dominance 0.678 0.678 – 0.678 1.0000 3
Macro Eth Dominance 0.200 0.200 – 0.200 1.0000 3
Macro Fear Greed 0.000 0.000 – 0.000 1.0000 3
Market Quality 0.665 0.530 – 0.868 0.9996 3
Mean Reversion Risk 0.367 0.336 – 0.423 1.0000 3
Momentum 0.400 0.062 – 0.653 1.0000 3
Momentum Exhaustion 0.351 0.222 – 0.417 1.0000 3
Pump Risk 0.200 0.200 – 0.200 1.0000 3
Rank 0.356 0.076 – 0.739 1.0000 3
Relative Strength 0.398 0.053 – 0.654 1.0000 3
Risk Control 0.786 0.684 – 0.875 0.9996 3
Sector Rotation 0.530 0.400 – 0.595 1.0000 3
Sector Strength 0.455 0.380 – 0.492 1.0000 3
Supply Quality 0.845 0.701 – 0.966 1.0200 3
Trend 0.431 0.159 – 0.654 1.0000 3
Trend Acceleration 0.376 0.294 – 0.419 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.