VADIEβ„’ Research Archive

Historical Decision Report

Official autonomous portfolio evidence retained from the VisionX AI competition record.
Portfolio #133 Competition C105 Portfolio Engine v5.0 SETTLED
Research Identity

VDX Daily Top Picks #20260714

Strategy: cmc_v4_daily_long_short
Submitted: 2026-07-12 00:05:01
Scored: 2026-08-17 02:10:01
Final Rank
#1
Rank reflects relative competition performance.
Final Score
3.4100%
Engine Status
LIVE
Payout
No payout recorded
Portfolio Environment

Decision Context

Market Regime
Neutral
Macro Regime
Neutral
Breadth
Weak
Confidence
Very High
Expected Alpha
0.821
Optimizer
0.821
Portfolio Quality
0.914
Portfolio Risk
0.715
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
Not recorded
Memory Adjustment
Not recorded
Expected Alpha
0.821488
Correlation Score
0.250875
Correlation Penalty
0.000000
Final Optimizer Score
0.821488

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 Quant Engine
Engine Version
v5.0
Engine Build
2026.07.04
Engine Mode
Long/Short Expected Alpha
Generated
2026-07-12 00:05:01
Historical Portfolio

Autonomous Decisions

Decision evidence exactly as retained when this portfolio was generated.
3 picks
LONG LIT Decision #1
Sector: Defi Β· Pump risk: Low Β· Crash risk: Not recorded
Decision Score
0.656
Decision Score Mathematics

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

LONG = clamp(raw - exhaustion - crash, 0, 1)
Raw LONG Score
Not recorded
Exhaustion Penalty
Not recorded
After Exhaustion
Not recorded
Crash Guard Penalty
Not recorded
Final Selection Score
0.656012
LONG Candidate Blocked
Not recorded
Confidence Calibration
Raw Confidence: Not recorded
Confidence Cap: Not recorded
Final Confidence Index: 98
Calibration Samples: Not recorded

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
βœ“ Strong momentum
βœ“ Strong trend
βœ“ High liquidity
βœ“ Positive sector tags
Negative Evidence
No negative factors recorded.
Momentum 91%
Trend 75%
Liquidity 76%
Market Quality 38%
Risk Control 43%
Relative Strength 75%
Trend Acceleration 0%
Sector Rotation 60%
Sector Strength 49%
Supply Quality 25%
Mean Reversion Risk β€”
Momentum Exhaustion β€”
LONG SUN Decision #2
Sector: Other Β· Pump risk: Low Β· Crash risk: Not recorded
Decision Score
0.607
Decision Score Mathematics

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

LONG = clamp(raw - exhaustion - crash, 0, 1)
Raw LONG Score
Not recorded
Exhaustion Penalty
Not recorded
After Exhaustion
Not recorded
Crash Guard Penalty
Not recorded
Final Selection Score
0.606610
LONG Candidate Blocked
Not recorded
Confidence Calibration
Raw Confidence: Not recorded
Confidence Cap: Not recorded
Final Confidence Index: 97
Calibration Samples: Not recorded

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
βœ“ High liquidity
βœ“ Controlled risk
Negative Evidence
No negative factors recorded.
Momentum 54%
Trend 53%
Liquidity 100%
Market Quality 59%
Risk Control 88%
Relative Strength 57%
Trend Acceleration 51%
Sector Rotation 40%
Sector Strength 38%
Supply Quality 97%
Mean Reversion Risk β€”
Momentum Exhaustion β€”
SHORT FET Decision #3
Sector: Ai Β· Pump risk: Low Β· Crash risk: Not recorded
Decision Score
0.709
Decision Score Mathematics

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

SHORT = clamp(raw - rebound, 0, 1)
Raw SHORT Score
Not recorded
Rebound Penalty
Not recorded
After Rebound
Not recorded
Final Selection Score
0.708604
Confidence Calibration
Raw Confidence: Not recorded
Confidence Cap: Not recorded
Final Confidence Index: 99
Calibration Samples: Not recorded

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
βœ“ High liquidity
βœ“ Controlled risk
βœ“ Positive sector tags
Negative Evidence
No negative factors recorded.
Momentum 36%
Trend 35%
Liquidity 100%
Market Quality 62%
Risk Control 83%
Relative Strength 37%
Trend Acceleration 0%
Sector Rotation 35%
Sector Strength 36%
Supply Quality 83%
Mean Reversion Risk β€”
Momentum Exhaustion β€”
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 0.535 0.322 – 0.697 1.0000 3
Depth 0.207 0.102 – 0.379 1.0000 3
Eth Relative Strength 0.542 0.328 – 0.703 1.0000 3
Liquidity 0.919 0.758 – 1.000 1.0000 3
Macro Btc Dominance 0.678 0.678 – 0.678 1.0000 3
Macro Eth Dominance 0.161 0.161 – 0.161 1.0000 3
Macro Fear Greed 0.000 0.000 – 0.000 1.0000 3
Market Quality 0.529 0.384 – 0.618 1.0000 3
Momentum 0.606 0.361 – 0.912 1.0000 3
Pump Risk 0.200 0.200 – 0.200 1.0000 3
Rank 0.286 0.210 – 0.420 1.0000 3
Relative Strength 0.563 0.372 – 0.746 1.0000 3
Risk Control 0.715 0.432 – 0.878 1.0000 3
Sector Rotation 0.448 0.349 – 0.595 1.0000 3
Sector Strength 0.411 0.361 – 0.492 1.0000 3
Supply Quality 0.681 0.250 – 0.966 1.0000 3
Trend 0.547 0.352 – 0.753 1.0000 3
Trend Acceleration 0.169 0.000 – 0.507 1.0000 3
Outcome Intelligence

Failure Attribution

Post-competition attribution retained by the learning engine.
LIT Β· LONG WIN
Primary Cause: Winning Setup
Secondary Cause: No secondary cause identified
Position Return: +13.4235%
Attribution Confidence: 35%
SUN Β· LONG WIN
Primary Cause: Winning Setup
Secondary Cause: No secondary cause identified
Position Return: +0.2465%
Attribution Confidence: 35%
FET Β· SHORT LOSS
Primary Cause: Sector Strength
Secondary Cause: No secondary cause identified
Position Return: -3.4399%
Attribution Confidence: 62%
Research output only. This report displays historical metadata retained at portfolio generation and official competition outcome data. Missing information is not reconstructed retroactively.