VADIE™ Research Archive

Historical Decision Report

Official autonomous portfolio evidence retained from the VisionX AI competition record.
Portfolio #189 Competition C160 Portfolio Engine v5.6.0 SETTLED
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Research Identity

VDX Daily Top Picks #20260830

Strategy: cmc_v4_daily_long_short
Submitted: 2026-08-28 00:05:01
Scored: 2026-08-31 00:15:01
Final Rank
#1
Rank reflects relative competition performance.
Final Score
-0.0937%
Engine Status
LIVE
Payout
No payout recorded
Portfolio Environment

Decision Context

Market Regime
Bull
Macro Regime
Neutral
Breadth
Strong
Confidence
High
Expected Alpha
0.833
Optimizer
0.833
Portfolio Quality
0.928
Portfolio Risk
0.760
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
0.828745
Memory Adjustment
0.004000
Expected Alpha
0.832745
Correlation Score
0.442067
Correlation Penalty
0.000000
Final Optimizer Score
0.832745

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
2026-08-28 00:05:01
Historical Portfolio

Autonomous Decisions

Decision evidence exactly as retained when this portfolio was generated.
3 picks
LONG ZEC Decision #1
Sector: Layer1 · Pump risk: Low · Crash risk: Low
Decision Score
0.844
Decision Score Mathematics

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

LONG = clamp(raw - exhaustion - crash, 0, 1)
Raw LONG Score
0.850989
Exhaustion Penalty
0.007312
After Exhaustion
0.843677
Crash Guard Penalty
0.000000
Final Selection Score
0.843677
LONG Candidate Blocked
No
Confidence Calibration
Raw Confidence: 99
Confidence Cap: 90
Final Confidence Index: 90
Calibration Samples: 27

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 0.320507 0.938796 0.938796 0.291864102
Trend 0.206040 0.863600 0.863600 0.172598318
Liquidity 0.136216 0.991600 0.991600 0.131019187
Market Quality 0.076281 0.827784 0.827784 0.061249625
Risk Control 0.070178 0.778540 0.778540 0.052997474
Rank 0.057233 0.915966 0.915966 0.050851150
Relative Strength 0.057233 0.924500 0.924500 0.051324927
Trend Acceleration 0.076311 0.374250 0.374250 0.027702692
Factor Total: 0.839607474
Macro Contribution: 0.011381280
Reconstructed Raw Score: 0.850989
Historical Raw Score: 0.850989

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
✓ Controlled risk
Negative Evidence
! Momentum appears extended
Momentum 94%
Trend 86%
Liquidity 99%
Market Quality 83%
Risk Control 78%
Relative Strength 92%
Trend Acceleration 37%
Sector Rotation 70%
Sector Strength 72%
Supply Quality 80%
Mean Reversion Risk 37%
Momentum Exhaustion 63%
LONG SOL Decision #2
Sector: Layer1 · Pump risk: Low · Crash risk: Low
Decision Score
0.793
Decision Score Mathematics

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

LONG = clamp(raw - exhaustion - crash, 0, 1)
Raw LONG Score
0.793495
Exhaustion Penalty
0.000000
After Exhaustion
0.793495
Crash Guard Penalty
0.000000
Final Selection Score
0.793495
LONG Candidate Blocked
No
Confidence Calibration
Raw Confidence: 98
Confidence Cap: 90
Final Confidence Index: 90
Calibration Samples: 27

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 0.320507 0.793329 0.793329 0.246639585
Trend 0.206040 0.794825 0.794825 0.158853008
Liquidity 0.136216 1.000000 1.000000 0.132129071
Market Quality 0.076281 0.928351 0.928351 0.068690807
Risk Control 0.070178 0.803816 0.803816 0.054718084
Rank 0.057233 0.949580 0.949580 0.052717279
Relative Strength 0.057233 0.809450 0.809450 0.044937763
Trend Acceleration 0.076311 0.316500 0.316500 0.023427928
Factor Total: 0.782113525
Macro Contribution: 0.011381280
Reconstructed Raw Score: 0.793495
Historical Raw Score: 0.793495

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
✓ Controlled risk
Negative Evidence
No negative factors recorded.
Momentum 79%
Trend 79%
Liquidity 100%
Market Quality 93%
Risk Control 80%
Relative Strength 81%
Trend Acceleration 32%
Sector Rotation 70%
Sector Strength 72%
Supply Quality 92%
Mean Reversion Risk 29%
Momentum Exhaustion 52%
SHORT APT Decision #3
Sector: Layer1 · Pump risk: Low · Crash risk: Low
Decision Score
0.606
Decision Score Mathematics

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

SHORT = clamp(raw - rebound, 0, 1)
Raw SHORT Score
0.606224
Rebound Penalty
0.000000
After Rebound
0.606224
Final Selection Score
0.606224
Confidence Calibration
Raw Confidence: 98
Confidence Cap: 90
Final Confidence Index: 90
Calibration Samples: 27

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) 0.320507 0.473894 0.526106 0.168620733
Trend (inverted) 0.206040 0.461086 0.538914 0.111038007
Liquidity 0.136216 1.000000 1.000000 0.136215537
Market Quality 0.076281 0.558623 0.558623 0.042612154
Risk Control 0.070178 0.698065 0.698065 0.048988976
Rank 0.057233 0.277311 0.277311 0.015871457
Relative Strength (inverted) 0.057233 0.495607 0.504393 0.028868136
Trend Acceleration (inverted) 0.076311 0.292250 0.707750 0.054009270
Factor Total: 0.606224269
Reconstructed Raw Score: 0.606224
Historical Raw Score: 0.606224

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
No negative factors recorded.
Momentum 47%
Trend 46%
Liquidity 100%
Market Quality 56%
Risk Control 70%
Relative Strength 50%
Trend Acceleration 29%
Sector Rotation 70%
Sector Strength 72%
Supply Quality 41%
Mean Reversion Risk 27%
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 0.773 0.773 – 0.773 1.0000 3
Btc Relative Strength 0.655 0.370 – 0.913 1.0000 3
Depth 0.545 0.424 – 0.775 1.0000 3
Eth Relative Strength 0.680 0.395 – 0.938 1.0000 3
Extension 0.011 0.000 – 0.034 1.0000 3
Liquidity 0.997 0.992 – 1.000 1.0200 3
Macro Btc Dominance 0.711 0.711 – 0.711 1.0000 3
Macro Eth Dominance 0.237 0.237 – 0.237 1.0000 3
Macro Fear Greed 0.000 0.000 – 0.000 1.0000 3
Market Quality 0.772 0.559 – 0.928 0.9996 3
Mean Reversion Risk 0.313 0.272 – 0.374 1.0000 3
Momentum 0.735 0.474 – 0.939 1.0000 3
Momentum Exhaustion 0.518 0.404 – 0.627 1.0000 3
Pump Risk 0.200 0.200 – 0.200 1.0000 3
Rank 0.714 0.277 – 0.950 1.0000 3
Relative Strength 0.743 0.496 – 0.925 1.0000 3
Risk Control 0.760 0.698 – 0.804 0.9996 3
Sector Rotation 0.701 0.701 – 0.701 1.0000 3
Sector Strength 0.719 0.719 – 0.719 1.0000 3
Supply Quality 0.711 0.409 – 0.923 1.0200 3
Trend 0.707 0.461 – 0.864 1.0000 3
Trend Acceleration 0.328 0.292 – 0.374 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.