VADIEβ„’ Research Archive

Historical Decision Report

Official autonomous portfolio evidence retained from the VisionX AI competition record.
Portfolio #150 Competition C121 Portfolio Engine v5.6.0 SETTLED
Research Identity

VDX Daily Top Picks #20260728

Strategy: cmc_v4_daily_long_short
Submitted: 2026-07-26 00:05:01
Scored: 2026-08-17 02:10:01
Final Rank
#1
Rank reflects relative competition performance.
Final Score
-4.1367%
Engine Status
LIVE
Payout
No payout recorded
Portfolio Environment

Decision Context

Market Regime
Neutral
Macro Regime
Neutral
Breadth
Weak
Confidence
High
Expected Alpha
0.802
Optimizer
0.802
Portfolio Quality
0.921
Portfolio Risk
0.736
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
0.797562
Memory Adjustment
0.004000
Expected Alpha
0.801562
Correlation Score
0.413083
Correlation Penalty
0.000000
Final Optimizer Score
0.801562

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 Intelligenceβ„’
Engine Version
v5.6.0
Engine Build
2026.07.25
Engine Mode
Long/Short Expected Alpha
Generated
2026-07-26 00:05:01
Historical Portfolio

Autonomous Decisions

Decision evidence exactly as retained when this portfolio was generated.
3 picks
LONG AAVE Decision #1
Sector: Defi Β· Pump risk: Low Β· Crash risk: Low
Decision Score
0.640
Decision Score Mathematics

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

LONG = clamp(raw - exhaustion - crash, 0, 1)
Raw LONG Score
0.640272
Exhaustion Penalty
0.000000
After Exhaustion
0.640272
Crash Guard Penalty
0.000000
Final Selection Score
0.640272
LONG Candidate Blocked
No
Confidence Calibration
Raw Confidence: 98
Confidence Cap: 85
Final Confidence Index: 85
Calibration Samples: 0

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 0.299181 0.530563 0.530563 0.153972564
Trend 0.199454 0.524177 0.524177 0.101412872
Liquidity 0.142410 0.961472 0.961472 0.132815871
Market Quality 0.079750 0.856359 0.856359 0.066245629
Risk Control 0.079750 0.914550 0.914550 0.070747128
Rank 0.059836 0.647059 0.647059 0.037556080
Relative Strength 0.059836 0.537386 0.537386 0.031190528
Trend Acceleration 0.079782 0.461750 0.461750 0.035734032
Factor Total: 0.629674705
Macro Contribution: 0.010597590
Reconstructed Raw Score: 0.640272
Historical Raw Score: 0.640272

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

Positive Evidence
βœ“ High liquidity
βœ“ High market quality
βœ“ Controlled risk
βœ“ Positive sector tags
Negative Evidence
No negative factors recorded.
Momentum 53%
Trend 52%
Liquidity 96%
Market Quality 86%
Risk Control 91%
Relative Strength 54%
Trend Acceleration 46%
Sector Rotation 60%
Sector Strength 49%
Supply Quality 96%
Mean Reversion Risk 33%
Momentum Exhaustion 36%
LONG SUN Decision #2
Sector: Other Β· Pump risk: Low Β· Crash risk: Low
Decision Score
0.568
Decision Score Mathematics

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

LONG = clamp(raw - exhaustion - crash, 0, 1)
Raw LONG Score
0.590122
Exhaustion Penalty
0.022002
After Exhaustion
0.568120
Crash Guard Penalty
0.000000
Final Selection Score
0.568120
LONG Candidate Blocked
No
Confidence Calibration
Raw Confidence: 97
Confidence Cap: 85
Final Confidence Index: 85
Calibration Samples: 0

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 0.299181 0.506697 0.506697 0.147046508
Trend 0.199454 0.499832 0.499832 0.096702829
Liquidity 0.142410 1.000000 1.000000 0.138138054
Market Quality 0.079750 0.596128 0.596128 0.046114859
Risk Control 0.079750 0.881482 0.881482 0.068189077
Rank 0.059836 0.243697 0.243697 0.014144466
Relative Strength 0.059836 0.520386 0.520386 0.030203828
Trend Acceleration 0.079782 0.503750 0.503750 0.038984339
Factor Total: 0.579523959
Macro Contribution: 0.010597590
Reconstructed Raw Score: 0.590122
Historical Raw Score: 0.590122

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

Positive Evidence
βœ“ High liquidity
βœ“ Controlled risk
Negative Evidence
No negative factors recorded.
Momentum 51%
Trend 50%
Liquidity 100%
Market Quality 60%
Risk Control 88%
Relative Strength 52%
Trend Acceleration 50%
Sector Rotation 40%
Sector Strength 38%
Supply Quality 97%
Mean Reversion Risk 42%
Momentum Exhaustion 42%
SHORT DEXE Decision #3
Sector: Defi Β· Pump risk: Low Β· Crash risk: Extreme
Decision Score
0.848
Decision Score Mathematics

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

SHORT = clamp(raw - rebound, 0, 1)
Raw SHORT Score
0.847880
Rebound Penalty
0.000000
After Rebound
0.847880
Final Selection Score
0.847880
Confidence Calibration
Raw Confidence: 99
Confidence Cap: 85
Final Confidence Index: 85
Calibration Samples: 0

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) 0.299181 0.024374 0.975626 0.291889191
Trend (inverted) 0.199454 0.105776 0.894224 0.178356816
Liquidity 0.142410 1.000000 1.000000 0.142410365
Market Quality 0.079750 0.586422 0.586422 0.046767040
Risk Control 0.079750 0.410635 0.410635 0.032748061
Rank 0.059836 0.268908 0.268908 0.016090457
Relative Strength (inverted) 0.059836 0.000000 1.000000 0.059836288
Trend Acceleration (inverted) 0.079782 0.000000 1.000000 0.079781717
Factor Total: 0.847879935
Reconstructed Raw Score: 0.847880
Historical Raw Score: 0.847880

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

Positive Evidence
βœ“ High liquidity
βœ“ Positive sector tags
Negative Evidence
! Extreme crash risk
! Weak momentum
! Weak trend
Momentum 2%
Trend 11%
Liquidity 100%
Market Quality 59%
Risk Control 41%
Relative Strength 0%
Trend Acceleration 0%
Sector Rotation 60%
Sector Strength 49%
Supply Quality 87%
Mean Reversion Risk 40%
Momentum Exhaustion 27%
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 0.348 0.000 – 0.536 1.0000 3
Depth 0.385 0.128 – 0.887 1.0000 3
Eth Relative Strength 0.337 0.000 – 0.519 1.0000 3
Extension 0.028 0.000 – 0.085 1.0000 3
Liquidity 0.987 0.961 – 1.000 1.0200 3
Macro Btc Dominance 0.683 0.683 – 0.683 1.0000 3
Macro Eth Dominance 0.184 0.184 – 0.184 1.0000 3
Macro Fear Greed 0.000 0.000 – 0.000 1.0000 3
Market Quality 0.680 0.586 – 0.856 0.9996 3
Mean Reversion Risk 0.384 0.327 – 0.423 1.0000 3
Momentum 0.354 0.024 – 0.531 1.0000 3
Momentum Exhaustion 0.347 0.266 – 0.416 1.0000 3
Pump Risk 0.200 0.200 – 0.200 1.0000 3
Rank 0.387 0.244 – 0.647 1.0000 3
Relative Strength 0.353 0.000 – 0.537 1.0000 3
Risk Control 0.736 0.411 – 0.915 0.9996 3
Sector Rotation 0.530 0.400 – 0.595 1.0000 3
Sector Strength 0.455 0.380 – 0.492 1.0000 3
Supply Quality 0.932 0.868 – 0.966 1.0200 3
Trend 0.377 0.106 – 0.524 1.0000 3
Trend Acceleration 0.322 0.000 – 0.504 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.