VADIE™ Research Archive

Historical Decision Report

Official autonomous portfolio evidence retained from the VisionX AI competition record.
Portfolio #201 Competition C172 Portfolio Engine v5.6.0 SETTLED
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Research Identity

VDX Daily Top Picks #20260909

Strategy: cmc_v4_daily_long_short
Submitted: 2026-09-07 00:20:02
Scored: 2026-09-10 00:15:01
Final Rank
#1
Rank reflects relative competition performance.
Final Score
-0.5304%
Engine Status
LIVE
Payout
No payout recorded
Portfolio Environment

Decision Context

Market Regime
Bull
Macro Regime
Neutral
Breadth
Strong
Confidence
High
Expected Alpha
0.839
Optimizer
0.839
Portfolio Quality
0.938
Portfolio Risk
0.792
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
0.839068
Memory Adjustment
0.000000
Expected Alpha
0.839068
Correlation Score
0.301083
Correlation Penalty
0.000000
Final Optimizer Score
0.839068

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
2026-09-07 00:20:02
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
0.904
Decision Score Mathematics

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

LONG = clamp(raw - exhaustion - crash, 0, 1)
Raw LONG Score
0.904237
Exhaustion Penalty
0.000000
After Exhaustion
0.904237
Crash Guard Penalty
0.000000
Final Selection Score
0.904237
LONG Candidate Blocked
No
Confidence Calibration
Raw Confidence: 99
Confidence Cap: 90
Final Confidence Index: 90
Calibration Samples: 39

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 1.000000 1.000000 0.310891932
Trend 0.206040 0.874831 0.874831 0.174842935
Liquidity 0.136216 1.000000 1.000000 0.132129071
Market Quality 0.076281 0.907958 0.907958 0.067181882
Risk Control 0.070178 0.707217 0.707217 0.048142310
Rank 0.057233 0.848739 0.848739 0.047118948
Relative Strength 0.057233 0.953836 0.953836 0.052953557
Trend Acceleration 0.076311 0.807750 0.807750 0.059791180
Factor Total: 0.893051815
Macro Contribution: 0.011185560
Reconstructed Raw Score: 0.904237
Historical Raw Score: 0.904237

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 100%
Trend 87%
Liquidity 100%
Market Quality 91%
Risk Control 71%
Relative Strength 95%
Trend Acceleration 81%
Sector Rotation 79%
Sector Strength 79%
Supply Quality 70%
Mean Reversion Risk 27%
Momentum Exhaustion 53%
LONG NEAR Decision #2
Sector: Layer1 · Pump risk: Low · Crash risk: Low
Decision Score
0.776
Decision Score Mathematics

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

LONG = clamp(raw - exhaustion - crash, 0, 1)
Raw LONG Score
0.779092
Exhaustion Penalty
0.003440
After Exhaustion
0.775652
Crash Guard Penalty
0.000000
Final Selection Score
0.775652
LONG Candidate Blocked
No
Confidence Calibration
Raw Confidence: 95
Confidence Cap: 90
Final Confidence Index: 90
Calibration Samples: 39

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 0.832320 0.832320 0.258761573
Trend 0.206040 0.817423 0.817423 0.163369424
Liquidity 0.136216 1.000000 1.000000 0.132129071
Market Quality 0.076281 0.815557 0.815557 0.060344922
Risk Control 0.070178 0.758323 0.758323 0.051621244
Rank 0.057233 0.756303 0.756303 0.041987232
Relative Strength 0.057233 0.904236 0.904236 0.050199942
Trend Acceleration 0.076311 0.128250 0.128250 0.009493307
Factor Total: 0.767906715
Macro Contribution: 0.011185560
Reconstructed Raw Score: 0.779092
Historical Raw Score: 0.779092

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 83%
Trend 82%
Liquidity 100%
Market Quality 82%
Risk Control 76%
Relative Strength 90%
Trend Acceleration 13%
Sector Rotation 76%
Sector Strength 76%
Supply Quality 100%
Mean Reversion Risk 36%
Momentum Exhaustion 62%
SHORT PAXG Decision #3
Sector: Rwa · Pump risk: Low · Crash risk: Low
Decision Score
0.517
Decision Score Mathematics

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

SHORT = clamp(raw - rebound, 0, 1)
Raw SHORT Score
0.517294
Rebound Penalty
0.000000
After Rebound
0.517294
Final Selection Score
0.517294
Confidence Calibration
Raw Confidence: 99
Confidence Cap: 90
Final Confidence Index: 90
Calibration Samples: 39

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 0.511617 0.488383 0.156530242
Trend (inverted) 0.206040 0.514072 0.485928 0.100120755
Liquidity 0.136216 0.335420 0.335420 0.045689415
Market Quality 0.076281 0.588881 0.588881 0.044920255
Risk Control 0.070178 0.910753 0.910753 0.063915047
Rank 0.057233 0.663866 0.663866 0.037995321
Relative Strength (inverted) 0.057233 0.503400 0.496600 0.028422116
Trend Acceleration (inverted) 0.076311 0.479750 0.520250 0.039700915
Factor Total: 0.517294066
Reconstructed Raw Score: 0.517294
Historical Raw Score: 0.517294

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

Positive Evidence
✓ Controlled risk
✓ Positive sector tags
Negative Evidence
No negative factors recorded.
Momentum 51%
Trend 51%
Liquidity 34%
Market Quality 59%
Risk Control 91%
Relative Strength 50%
Trend Acceleration 48%
Sector Rotation 58%
Sector Strength 59%
Supply Quality 100%
Mean Reversion Risk 35%
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 0.814 0.814 – 0.814 1.0000 3
Btc Relative Strength 0.770 0.447 – 0.969 1.0000 3
Depth 0.572 0.279 – 0.992 1.0000 3
Eth Relative Strength 0.760 0.437 – 0.959 1.0000 3
Extension 0.012 0.000 – 0.033 1.0000 3
Liquidity 0.778 0.335 – 1.000 1.0200 3
Macro Btc Dominance 0.696 0.696 – 0.696 1.0000 3
Macro Eth Dominance 0.239 0.239 – 0.239 1.0000 3
Macro Fear Greed 0.000 0.000 – 0.000 1.0000 3
Market Quality 0.771 0.589 – 0.908 0.9996 3
Mean Reversion Risk 0.325 0.267 – 0.361 1.0000 3
Momentum 0.781 0.512 – 1.000 1.0000 3
Momentum Exhaustion 0.517 0.404 – 0.617 1.0000 3
Pump Risk 0.200 0.200 – 0.200 1.0000 3
Rank 0.756 0.664 – 0.849 1.0000 3
Relative Strength 0.787 0.503 – 0.954 1.0000 3
Risk Control 0.792 0.707 – 0.911 0.9996 3
Sector Rotation 0.713 0.580 – 0.794 1.0000 3
Sector Strength 0.713 0.589 – 0.789 1.0000 3
Supply Quality 0.900 0.700 – 1.000 1.0200 3
Trend 0.735 0.514 – 0.875 1.0000 3
Trend Acceleration 0.472 0.128 – 0.808 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.