VADIE™ Research Archive

Historical Decision Report

Official autonomous portfolio evidence retained from the VisionX AI competition record.
Portfolio #187 Competition C158 Portfolio Engine v5.6.0 SETTLED
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Research Identity

VDX Daily Top Picks #20260828

Strategy: cmc_v4_daily_long_short
Submitted: 2026-08-26 00:05:02
Scored: 2026-08-29 00:30:01
Final Rank
#1
Rank reflects relative competition performance.
Final Score
-0.1568%
Engine Status
LIVE
Payout
No payout recorded
Portfolio Environment

Decision Context

Market Regime
Bull
Macro Regime
Neutral
Breadth
Neutral
Confidence
High
Expected Alpha
0.816
Optimizer
0.816
Portfolio Quality
0.910
Portfolio Risk
0.701
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
0.815525
Memory Adjustment
0.000000
Expected Alpha
0.815525
Correlation Score
0.474417
Correlation Penalty
0.000000
Final Optimizer Score
0.815525

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
2026-08-26 00:05:01
Historical Portfolio

Autonomous Decisions

Decision evidence exactly as retained when this portfolio was generated.
3 picks
LONG ZEC Decision #1
Sector: Layer1 · Pump risk: Low · Crash risk: Low
Decision Score
0.833
Decision Score Mathematics

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

LONG = clamp(raw - exhaustion - crash, 0, 1)
Raw LONG Score
0.848106
Exhaustion Penalty
0.015000
After Exhaustion
0.833106
Crash Guard Penalty
0.000000
Final Selection Score
0.833106
LONG Candidate Blocked
No
Confidence Calibration
Raw Confidence: 99
Confidence Cap: 90
Final Confidence Index: 90
Calibration Samples: 27

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 0.883131 0.883131 0.274558303
Trend 0.206040 0.874358 0.874358 0.174748402
Liquidity 0.136216 1.000000 1.000000 0.132129071
Market Quality 0.076281 0.829861 0.829861 0.061403307
Risk Control 0.070178 0.639628 0.639628 0.043541331
Rank 0.057233 0.915966 0.915966 0.050851150
Relative Strength 0.057233 0.892871 0.892871 0.049568998
Trend Acceleration 0.076311 0.674500 0.674500 0.049927764
Factor Total: 0.836728326
Macro Contribution: 0.011377560
Reconstructed Raw Score: 0.848106
Historical Raw Score: 0.848106

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
✓ Positive sector tags
Negative Evidence
! Momentum appears extended
Momentum 88%
Trend 87%
Liquidity 100%
Market Quality 83%
Risk Control 64%
Relative Strength 89%
Trend Acceleration 67%
Sector Rotation 78%
Sector Strength 93%
Supply Quality 80%
Mean Reversion Risk 40%
Momentum Exhaustion 57%
LONG JASMY Decision #2
Sector: Other · Pump risk: Low · Crash risk: Low
Decision Score
0.724
Decision Score Mathematics

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

LONG = clamp(raw - exhaustion - crash, 0, 1)
Raw LONG Score
0.723848
Exhaustion Penalty
0.000000
After Exhaustion
0.723848
Crash Guard Penalty
0.000000
Final Selection Score
0.723848
LONG Candidate Blocked
No
Confidence Calibration
Raw Confidence: 96
Confidence Cap: 90
Final Confidence Index: 90
Calibration Samples: 27

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 0.728643 0.728643 0.226529230
Trend 0.206040 0.714930 0.714930 0.142885266
Liquidity 0.136216 1.000000 1.000000 0.132129071
Market Quality 0.076281 0.562128 0.562128 0.041593132
Risk Control 0.070178 0.812362 0.812362 0.055299835
Rank 0.057233 0.050420 0.050420 0.002799138
Relative Strength 0.057233 0.804979 0.804979 0.044689549
Trend Acceleration 0.076311 0.899000 0.899000 0.066545678
Factor Total: 0.712470898
Macro Contribution: 0.011377560
Reconstructed Raw Score: 0.723848
Historical Raw Score: 0.723848

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 73%
Trend 71%
Liquidity 100%
Market Quality 56%
Risk Control 81%
Relative Strength 80%
Trend Acceleration 90%
Sector Rotation 75%
Sector Strength 82%
Supply Quality 99%
Mean Reversion Risk 34%
Momentum Exhaustion 48%
SHORT JTO Decision #3
Sector: Defi · Pump risk: Low · Crash risk: Low
Decision Score
0.662
Decision Score Mathematics

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

SHORT = clamp(raw - rebound, 0, 1)
Raw SHORT Score
0.662068
Rebound Penalty
0.000000
After Rebound
0.662068
Final Selection Score
0.662068
Confidence Calibration
Raw Confidence: 99
Confidence Cap: 90
Final Confidence Index: 90
Calibration Samples: 27

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 0.380243 0.619757 0.198636547
Trend (inverted) 0.206040 0.371457 0.628543 0.129505193
Liquidity 0.136216 1.000000 1.000000 0.136215537
Market Quality 0.076281 0.464143 0.464143 0.035405153
Risk Control 0.070178 0.652241 0.652241 0.045773129
Rank 0.057233 0.092437 0.092437 0.005290486
Relative Strength (inverted) 0.057233 0.389679 0.610321 0.034930757
Trend Acceleration (inverted) 0.076311 0.000000 1.000000 0.076311225
Factor Total: 0.662068028
Reconstructed Raw Score: 0.662068
Historical Raw Score: 0.662068

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

Positive Evidence
✓ High liquidity
✓ Positive sector tags
Negative Evidence
No negative factors recorded.
Momentum 38%
Trend 37%
Liquidity 100%
Market Quality 46%
Risk Control 65%
Relative Strength 39%
Trend Acceleration 0%
Sector Rotation 78%
Sector Strength 91%
Supply Quality 52%
Mean Reversion Risk 31%
Momentum Exhaustion 42%
Learning Audit

Factor Intelligence

Portfolio-level audit summary. Each observation represents one stored pick-factor result.
Factor Average Range Weight Records
Breadth 0.649 0.649 – 0.649 1.0000 3
Btc Relative Strength 0.610 0.164 – 0.898 1.0000 3
Depth 0.312 0.243 – 0.424 1.0000 3
Eth Relative Strength 0.533 0.087 – 0.821 1.0000 3
Extension 0.038 0.000 – 0.080 1.0000 3
Liquidity 1.000 1.000 – 1.000 1.0200 3
Macro Btc Dominance 0.713 0.713 – 0.713 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 0.619 0.464 – 0.830 0.9996 3
Mean Reversion Risk 0.352 0.313 – 0.400 1.0000 3
Momentum 0.664 0.380 – 0.883 1.0000 3
Momentum Exhaustion 0.488 0.415 – 0.570 1.0000 3
Pump Risk 0.200 0.200 – 0.200 1.0000 3
Rank 0.353 0.050 – 0.916 1.0000 3
Relative Strength 0.696 0.390 – 0.893 1.0000 3
Risk Control 0.701 0.640 – 0.812 0.9996 3
Sector Rotation 0.773 0.753 – 0.783 1.0000 3
Sector Strength 0.887 0.822 – 0.930 1.0000 3
Supply Quality 0.771 0.521 – 0.989 1.0200 3
Trend 0.654 0.371 – 0.874 1.0000 3
Trend Acceleration 0.525 0.000 – 0.899 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.