VADIE™ Research Archive

Historical Decision Report

Official autonomous portfolio evidence retained from the VisionX AI competition record.
Portfolio #204 Competition C175 Portfolio Engine v5.6.0 SETTLED
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Research Identity

VDX Daily Top Picks #20260911

Strategy: cmc_v4_daily_long_short
Submitted: 2026-09-09 00:05:02
Scored: 2026-09-12 00:10:01
Final Rank
#2
Rank reflects relative competition performance.
Final Score
-5.3331%
Engine Status
LIVE
Payout
No payout recorded
Portfolio Environment

Decision Context

Market Regime
Bull
Macro Regime
Neutral
Breadth
Strong
Confidence
High
Expected Alpha
0.843
Optimizer
0.843
Portfolio Quality
0.949
Portfolio Risk
0.829
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
0.834867
Memory Adjustment
0.008000
Expected Alpha
0.842867
Correlation Score
0.389233
Correlation Penalty
0.000000
Final Optimizer Score
0.842867

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
2026-09-09 00:05:02
Historical Portfolio

Autonomous Decisions

Decision evidence exactly as retained when this portfolio was generated.
3 picks
LONG INJ Decision #1
Sector: Layer1 · Pump risk: Low · Crash risk: Low
Decision Score
0.794
Decision Score Mathematics

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

LONG = clamp(raw - exhaustion - crash, 0, 1)
Raw LONG Score
0.793827
Exhaustion Penalty
0.000000
After Exhaustion
0.793827
Crash Guard Penalty
0.000000
Final Selection Score
0.793827
LONG Candidate Blocked
No
Confidence Calibration
Raw Confidence: 97
Confidence Cap: 90
Final Confidence Index: 90
Calibration Samples: 40

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 0.790464 0.790464 0.245748880
Trend 0.206040 0.779451 0.779451 0.155780375
Liquidity 0.136216 1.000000 1.000000 0.132129071
Market Quality 0.076281 0.692868 0.692868 0.051266883
Risk Control 0.070178 0.850630 0.850630 0.057904849
Rank 0.057233 0.378151 0.378151 0.020993588
Relative Strength 0.057233 0.836100 0.836100 0.046417276
Trend Acceleration 0.076311 0.980000 0.980000 0.072541451
Factor Total: 0.782782372
Macro Contribution: 0.011044260
Reconstructed Raw Score: 0.793827
Historical Raw Score: 0.793827

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
✓ Controlled risk
✓ Positive sector tags
Negative Evidence
No negative factors recorded.
Momentum 79%
Trend 78%
Liquidity 100%
Market Quality 69%
Risk Control 85%
Relative Strength 84%
Trend Acceleration 98%
Sector Rotation 74%
Sector Strength 73%
Supply Quality 100%
Mean Reversion Risk 31%
Momentum Exhaustion 47%
LONG UNI Decision #2
Sector: Defi · Pump risk: Low · Crash risk: Low
Decision Score
0.785
Decision Score Mathematics

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

LONG = clamp(raw - exhaustion - crash, 0, 1)
Raw LONG Score
0.784740
Exhaustion Penalty
0.000000
After Exhaustion
0.784740
Crash Guard Penalty
0.000000
Final Selection Score
0.784740
LONG Candidate Blocked
No
Confidence Calibration
Raw Confidence: 96
Confidence Cap: 90
Final Confidence Index: 90
Calibration Samples: 40

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 0.872023 0.872023 0.271104915
Trend 0.206040 0.762631 0.762631 0.152418744
Liquidity 0.136216 1.000000 1.000000 0.132129071
Market Quality 0.076281 0.898396 0.898396 0.066474368
Risk Control 0.070178 0.736901 0.736901 0.050162986
Rank 0.057233 0.815126 0.815126 0.045252874
Relative Strength 0.057233 0.759793 0.759793 0.042180985
Trend Acceleration 0.076311 0.188750 0.188750 0.013971631
Factor Total: 0.773695575
Macro Contribution: 0.011044260
Reconstructed Raw Score: 0.784740
Historical Raw Score: 0.784740

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 87%
Trend 76%
Liquidity 100%
Market Quality 90%
Risk Control 74%
Relative Strength 76%
Trend Acceleration 19%
Sector Rotation 71%
Sector Strength 69%
Supply Quality 70%
Mean Reversion Risk 28%
Momentum Exhaustion 54%
SHORT PAXG Decision #3
Sector: Rwa · Pump risk: Low · Crash risk: Low
Decision Score
0.601
Decision Score Mathematics

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

SHORT = clamp(raw - rebound, 0, 1)
Raw SHORT Score
0.600545
Rebound Penalty
0.000000
After Rebound
0.600545
Final Selection Score
0.600545
Confidence Calibration
Raw Confidence: 99
Confidence Cap: 90
Final Confidence Index: 90
Calibration Samples: 40

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 0.505023 0.494977 0.158643666
Trend (inverted) 0.206040 0.508322 0.491678 0.101305487
Liquidity 0.136216 0.917286 0.917286 0.124948605
Market Quality 0.076281 0.731960 0.731960 0.055834422
Risk Control 0.070178 0.898435 0.898435 0.063050591
Rank 0.057233 0.655462 0.655462 0.037514331
Relative Strength (inverted) 0.057233 0.494136 0.505864 0.028952326
Trend Acceleration (inverted) 0.076311 0.603000 0.397000 0.030295556
Factor Total: 0.600544984
Reconstructed Raw Score: 0.600545
Historical Raw Score: 0.600545

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 51%
Trend 51%
Liquidity 92%
Market Quality 73%
Risk Control 90%
Relative Strength 49%
Trend Acceleration 60%
Sector Rotation 54%
Sector Strength 57%
Supply Quality 100%
Mean Reversion Risk 29%
Momentum Exhaustion 38%
Learning Audit

Factor Intelligence

Portfolio-level audit summary. Each observation represents one stored pick-factor result.
Factor Average Range Weight Records
Breadth 0.722 0.722 – 0.722 1.0000 3
Btc Relative Strength 0.690 0.489 – 0.904 1.0000 3
Depth 0.557 0.280 – 0.995 1.0000 3
Eth Relative Strength 0.674 0.473 – 0.888 1.0000 3
Extension 0.000 0.000 – 0.000 1.0000 3
Liquidity 0.972 0.917 – 1.000 1.0200 3
Macro Btc Dominance 0.684 0.684 – 0.684 1.0000 3
Macro Eth Dominance 0.241 0.241 – 0.241 1.0000 3
Macro Fear Greed 0.000 0.000 – 0.000 1.0000 3
Market Quality 0.774 0.693 – 0.898 0.9996 3
Mean Reversion Risk 0.297 0.283 – 0.312 1.0000 3
Momentum 0.723 0.505 – 0.872 1.0000 3
Momentum Exhaustion 0.462 0.382 – 0.536 1.0000 3
Pump Risk 0.200 0.200 – 0.200 1.0000 3
Rank 0.616 0.378 – 0.815 1.0000 3
Relative Strength 0.697 0.494 – 0.836 1.0000 3
Risk Control 0.829 0.737 – 0.898 0.9996 3
Sector Rotation 0.663 0.542 – 0.737 1.0000 3
Sector Strength 0.665 0.573 – 0.729 1.0000 3
Supply Quality 0.900 0.700 – 1.000 1.0200 3
Trend 0.683 0.508 – 0.779 1.0000 3
Trend Acceleration 0.591 0.189 – 0.980 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.