VADIE™ Research Archive

Historical Decision Report

Official autonomous portfolio evidence retained from the VisionX AI competition record.
Portfolio #163 Competition C134 Portfolio Engine v5.6.0 SETTLED
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Research Identity

VDX Daily Top Picks #20260807

Strategy: cmc_v4_daily_long_short
Submitted: 2026-08-05 00:05:02
Scored: 2026-08-17 02:10:01
Final Rank
#1
Rank reflects relative competition performance.
Final Score
0.1267%
Engine Status
LIVE
Payout
No payout recorded
Portfolio Environment

Decision Context

Market Regime
Neutral
Macro Regime
Neutral
Breadth
Weak
Confidence
High
Expected Alpha
0.806
Optimizer
0.806
Portfolio Quality
0.949
Portfolio Risk
0.831
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
0.817941
Memory Adjustment
-0.011667
Expected Alpha
0.806275
Correlation Score
0.349983
Correlation Penalty
0.000000
Final Optimizer Score
0.806275

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
2026-08-05 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
0.668
Decision Score Mathematics

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

LONG = clamp(raw - exhaustion - crash, 0, 1)
Raw LONG Score
0.668300
Exhaustion Penalty
0.000000
After Exhaustion
0.668300
Crash Guard Penalty
0.000000
Final Selection Score
0.668300
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 0.591913 0.591913 0.171776702
Trend 0.199454 0.600812 0.600812 0.116239497
Liquidity 0.142410 0.869306 0.869306 0.120084239
Market Quality 0.079750 0.840636 0.840636 0.065029340
Risk Control 0.079750 0.839258 0.839258 0.064922742
Rank 0.059836 0.739496 0.739496 0.042921235
Relative Strength 0.059836 0.550107 0.550107 0.031928870
Trend Acceleration 0.079782 0.578500 0.578500 0.044769112
Factor Total: 0.657671736
Macro Contribution: 0.010628700
Reconstructed Raw Score: 0.668300
Historical Raw Score: 0.668300

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 59%
Trend 60%
Liquidity 87%
Market Quality 84%
Risk Control 84%
Relative Strength 55%
Trend Acceleration 58%
Sector Rotation 60%
Sector Strength 49%
Supply Quality 70%
Mean Reversion Risk 32%
Momentum Exhaustion 35%
LONG ADA Decision #2
Sector: Layer1 · Pump risk: Low · Crash risk: Low
Decision Score
0.625
Decision Score Mathematics

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

LONG = clamp(raw - exhaustion - crash, 0, 1)
Raw LONG Score
0.627407
Exhaustion Penalty
0.002738
After Exhaustion
0.624669
Crash Guard Penalty
0.000000
Final Selection Score
0.624669
LONG Candidate Blocked
No
Confidence Calibration
Raw Confidence: 97
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 0.571136 0.571136 0.165747092
Trend 0.199454 0.560550 0.560550 0.108449981
Liquidity 0.142410 0.761701 0.761701 0.105219894
Market Quality 0.079750 0.881870 0.881870 0.068219091
Risk Control 0.079750 0.867428 0.867428 0.067101897
Rank 0.059836 0.899160 0.899160 0.052188325
Relative Strength 0.059836 0.598571 0.598571 0.034741779
Trend Acceleration 0.079782 0.195250 0.195250 0.015110059
Factor Total: 0.616778118
Macro Contribution: 0.010628700
Reconstructed Raw Score: 0.627407
Historical Raw Score: 0.627407

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 57%
Trend 56%
Liquidity 76%
Market Quality 88%
Risk Control 87%
Relative Strength 60%
Trend Acceleration 20%
Sector Rotation 31%
Sector Strength 32%
Supply Quality 81%
Mean Reversion Risk 36%
Momentum Exhaustion 41%
SHORT DEXE Decision #3
Sector: Defi · Pump risk: Low · Crash risk: Low
Decision Score
0.786
Decision Score Mathematics

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

SHORT = clamp(raw - rebound, 0, 1)
Raw SHORT Score
0.785861
Rebound Penalty
0.000000
After Rebound
0.785861
Final Selection Score
0.785861
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 0.110100 0.889900 0.266241563
Trend (inverted) 0.199454 0.206250 0.793750 0.158316845
Liquidity 0.142410 1.000000 1.000000 0.142410365
Market Quality 0.079750 0.507616 0.507616 0.040482277
Risk Control 0.079750 0.785988 0.785988 0.062682389
Rank 0.059836 0.000000 0.000000 0.000000000
Relative Strength (inverted) 0.059836 0.137929 0.862071 0.051583129
Trend Acceleration (inverted) 0.079782 0.196000 0.804000 0.064144501
Factor Total: 0.785861069
Reconstructed Raw Score: 0.785861
Historical Raw Score: 0.785861

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
✓ Positive sector tags
Negative Evidence
! Weak momentum
! Weak trend
Momentum 11%
Trend 21%
Liquidity 100%
Market Quality 51%
Risk Control 79%
Relative Strength 14%
Trend Acceleration 20%
Sector Rotation 60%
Sector Strength 49%
Supply Quality 87%
Mean Reversion Risk 36%
Momentum Exhaustion 27%
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 0.479 0.222 – 0.733 1.0000 3
Depth 0.706 0.137 – 1.000 1.0000 3
Eth Relative Strength 0.512 0.255 – 0.766 1.0000 3
Extension 0.000 0.000 – 0.000 1.0000 3
Liquidity 0.877 0.762 – 1.000 1.0200 3
Macro Btc Dominance 0.684 0.684 – 0.684 1.0000 3
Macro Eth Dominance 0.186 0.186 – 0.186 1.0000 3
Macro Fear Greed 0.000 0.000 – 0.000 1.0000 3
Market Quality 0.743 0.508 – 0.882 0.9996 3
Mean Reversion Risk 0.346 0.324 – 0.359 1.0000 3
Momentum 0.424 0.110 – 0.592 1.0000 3
Momentum Exhaustion 0.344 0.267 – 0.412 1.0000 3
Pump Risk 0.200 0.200 – 0.200 1.0000 3
Rank 0.546 0.000 – 0.899 1.0000 3
Relative Strength 0.429 0.138 – 0.599 1.0000 3
Risk Control 0.831 0.786 – 0.867 0.9996 3
Sector Rotation 0.499 0.306 – 0.595 1.0000 3
Sector Strength 0.436 0.322 – 0.492 1.0000 3
Supply Quality 0.793 0.700 – 0.868 1.0200 3
Trend 0.456 0.206 – 0.601 1.0000 3
Trend Acceleration 0.323 0.195 – 0.579 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.