VADIE™ Research Archive

Historical Decision Report

Official autonomous portfolio evidence retained from the VisionX AI competition record.
Portfolio #194 Competition C165 Portfolio Engine v5.6.0 OPEN
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Research Identity

VDX Monthly Top Picks #2026-11

Strategy: cmc_v4_monthly_long_short
Submitted: 2026-08-31 00:20:03
Scored: Not recorded
Final Rank
Not recorded
Rank reflects relative competition performance.
Final Score
Not recorded
Engine Status
LIVE
Payout
No payout recorded
Portfolio Environment

Decision Context

Market Regime
Neutral
Macro Regime
Neutral
Breadth
Neutral
Confidence
High
Expected Alpha
0.824
Optimizer
0.824
Portfolio Quality
0.941
Portfolio Risk
0.802
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
0.824408
Memory Adjustment
0.000000
Expected Alpha
0.824408
Correlation Score
0.542200
Correlation Penalty
0.000000
Final Optimizer Score
0.824408

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
2026-08-31 00:20:03
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
0.775
Decision Score Mathematics

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

LONG = clamp(raw - exhaustion - crash, 0, 1)
Raw LONG Score
0.775141
Exhaustion Penalty
0.000000
After Exhaustion
0.775141
Crash Guard Penalty
0.000000
Final Selection Score
0.775141
LONG Candidate Blocked
No
Confidence Calibration
Raw Confidence: 99
Confidence Cap: 90
Final Confidence Index: 90
Calibration Samples: 31

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

Factor reconstruction unavailable: historical inputs are incomplete, incompatible or fail integrity validation. No missing values were inferred.

Positive Evidence
✓ Strong momentum
✓ Strong trend
✓ High liquidity
✓ High market quality
✓ Controlled risk
Negative Evidence
No negative factors recorded.
Momentum 74%
Trend 78%
Liquidity 100%
Market Quality 89%
Risk Control 72%
Relative Strength 68%
Trend Acceleration 0%
Sector Rotation 47%
Sector Strength 39%
Supply Quality 70%
Mean Reversion Risk 32%
Momentum Exhaustion 51%
LONG ZEC Decision #2
Sector: Layer1 · Pump risk: Low · Crash risk: Low
Decision Score
0.746
Decision Score Mathematics

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

LONG = clamp(raw - exhaustion - crash, 0, 1)
Raw LONG Score
0.758333
Exhaustion Penalty
0.012458
After Exhaustion
0.745875
Crash Guard Penalty
0.000000
Final Selection Score
0.745875
LONG Candidate Blocked
No
Confidence Calibration
Raw Confidence: 98
Confidence Cap: 90
Final Confidence Index: 90
Calibration Samples: 31

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

Factor reconstruction unavailable: historical inputs are incomplete, incompatible or fail integrity validation. No missing values were inferred.

Positive Evidence
✓ Strong momentum
✓ Strong trend
✓ High liquidity
✓ High market quality
✓ Controlled risk
Negative Evidence
! Momentum appears extended
Momentum 79%
Trend 72%
Liquidity 94%
Market Quality 82%
Risk Control 79%
Relative Strength 73%
Trend Acceleration 0%
Sector Rotation 46%
Sector Strength 38%
Supply Quality 80%
Mean Reversion Risk 42%
Momentum Exhaustion 59%
SHORT LTC Decision #3
Sector: Layer1 · Pump risk: Low · Crash risk: Low
Decision Score
0.706
Decision Score Mathematics

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

SHORT = clamp(raw - rebound, 0, 1)
Raw SHORT Score
0.705580
Rebound Penalty
0.000000
After Rebound
0.705580
Final Selection Score
0.705580
Confidence Calibration
Raw Confidence: 97
Confidence Cap: 90
Final Confidence Index: 90
Calibration Samples: 31

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

Factor reconstruction unavailable: historical inputs are incomplete, incompatible or fail integrity validation. No missing values were inferred.

Positive Evidence
✓ High market quality
✓ Controlled risk
✓ Positive sector tags
Negative Evidence
No negative factors recorded.
Momentum 49%
Trend 49%
Liquidity 45%
Market Quality 80%
Risk Control 89%
Relative Strength 47%
Trend Acceleration 0%
Sector Rotation 46%
Sector Strength 38%
Supply Quality 92%
Mean Reversion Risk 32%
Momentum Exhaustion 39%
Learning Audit

Factor Intelligence

Portfolio-level audit summary. Each observation represents one stored pick-factor result.
Factor Average Range Weight Records
Breadth 0.409 0.409 – 0.409 1.0000 3
Btc Relative Strength 0.515 0.396 – 0.661 1.0000 3
Depth 0.805 0.425 – 1.000 1.0000 3
Eth Relative Strength 0.535 0.417 – 0.681 1.0000 3
Extension 0.002 0.000 – 0.007 1.0000 3
Liquidity 0.796 0.451 – 1.000 1.0000 3
Macro Btc Dominance 0.710 0.710 – 0.710 1.0000 3
Macro Eth Dominance 0.234 0.234 – 0.234 1.0000 3
Macro Fear Greed 0.000 0.000 – 0.000 1.0000 3
Market Quality 0.835 0.798 – 0.890 0.9800 3
Mean Reversion Risk 0.352 0.318 – 0.419 1.0000 3
Momentum 0.672 0.486 – 0.790 1.0000 3
Momentum Exhaustion 0.497 0.391 – 0.593 1.0000 3
Pump Risk 0.200 0.200 – 0.200 1.0000 3
Rank 0.846 0.790 – 0.924 1.0000 3
Relative Strength 0.628 0.473 – 0.733 1.0000 3
Risk Control 0.802 0.722 – 0.893 0.9800 3
Sector Rotation 0.467 0.463 – 0.474 1.0000 3
Sector Strength 0.383 0.383 – 0.385 1.0000 3
Supply Quality 0.808 0.700 – 0.923 1.0000 3
Trend 0.661 0.485 – 0.781 1.0000 3
Trend Acceleration 0.000 0.000 – 0.000 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.