VADIE™ Research Archive

Historical Decision Report

Official autonomous portfolio evidence retained from the VisionX AI competition record.
Portfolio #164 Competition C135 Portfolio Engine v5.6.0 SETTLED
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Research Identity

VDX Daily Top Picks #20260808

Strategy: cmc_v4_daily_long_short
Submitted: 2026-08-06 00:05:02
Scored: 2026-08-17 02:10:01
Final Rank
#1
Rank reflects relative competition performance.
Final Score
-0.0784%
Engine Status
LIVE
Payout
No payout recorded
Portfolio Environment

Decision Context

Market Regime
Neutral
Macro Regime
Neutral
Breadth
Weak
Confidence
High
Expected Alpha
0.780
Optimizer
0.778
Portfolio Quality
0.942
Portfolio Risk
0.806
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
0.787073
Memory Adjustment
-0.006667
Expected Alpha
0.780406
Correlation Score
0.555883
Correlation Penalty
0.002648
Final Optimizer Score
0.777758

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
2026-08-06 00:05:02
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
0.685
Decision Score Mathematics

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

LONG = clamp(raw - exhaustion - crash, 0, 1)
Raw LONG Score
0.686089
Exhaustion Penalty
0.001295
After Exhaustion
0.684794
Crash Guard Penalty
0.000000
Final Selection Score
0.684794
LONG Candidate Blocked
No
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 0.299181 0.652596 0.652596 0.189387272
Trend 0.199454 0.666356 0.666356 0.128920338
Liquidity 0.142410 1.000000 1.000000 0.138138054
Market Quality 0.079750 0.873307 0.873307 0.067556681
Risk Control 0.079750 0.802404 0.802404 0.062071815
Rank 0.059836 0.739496 0.739496 0.042921235
Relative Strength 0.059836 0.615607 0.615607 0.035730569
Trend Acceleration 0.079782 0.137750 0.137750 0.010660234
Factor Total: 0.675386197
Macro Contribution: 0.010702710
Reconstructed Raw Score: 0.686089
Historical Raw Score: 0.686089

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 65%
Trend 67%
Liquidity 100%
Market Quality 87%
Risk Control 80%
Relative Strength 62%
Trend Acceleration 14%
Sector Rotation 60%
Sector Strength 49%
Supply Quality 70%
Mean Reversion Risk 35%
Momentum Exhaustion 45%
LONG ADA Decision #2
Sector: Layer1 · Pump risk: Low · Crash risk: Low
Decision Score
0.637
Decision Score Mathematics

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

LONG = clamp(raw - exhaustion - crash, 0, 1)
Raw LONG Score
0.637368
Exhaustion Penalty
0.000000
After Exhaustion
0.637368
Crash Guard Penalty
0.000000
Final Selection Score
0.637368
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 0.579114 0.579114 0.168062355
Trend 0.199454 0.568654 0.568654 0.110017867
Liquidity 0.142410 0.601329 0.601329 0.083066418
Market Quality 0.079750 0.841777 0.841777 0.065117605
Risk Control 0.079750 0.867527 0.867527 0.067109555
Rank 0.059836 0.899160 0.899160 0.052188325
Relative Strength 0.059836 0.603671 0.603671 0.035037789
Trend Acceleration 0.079782 0.595250 0.595250 0.046065365
Factor Total: 0.626665279
Macro Contribution: 0.010702710
Reconstructed Raw Score: 0.637368
Historical Raw Score: 0.637368

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

Positive Evidence
✓ High market quality
✓ Controlled risk
✓ Positive sector tags
Negative Evidence
No negative factors recorded.
Momentum 58%
Trend 57%
Liquidity 60%
Market Quality 84%
Risk Control 87%
Relative Strength 60%
Trend Acceleration 60%
Sector Rotation 31%
Sector Strength 32%
Supply Quality 81%
Mean Reversion Risk 35%
Momentum Exhaustion 36%
SHORT BONK Decision #3
Sector: Layer2 · Pump risk: Low · Crash risk: Low
Decision Score
0.659
Decision Score Mathematics

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

SHORT = clamp(raw - rebound, 0, 1)
Raw SHORT Score
0.658541
Rebound Penalty
0.000000
After Rebound
0.658541
Final Selection Score
0.658541
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 0.345724 0.654276 0.195747236
Trend (inverted) 0.199454 0.333298 0.666702 0.132976576
Liquidity 0.142410 0.941419 0.941419 0.134067824
Market Quality 0.079750 0.601889 0.601889 0.048000530
Risk Control 0.079750 0.749405 0.749405 0.059764902
Rank 0.059836 0.117647 0.117647 0.007039560
Relative Strength (inverted) 0.059836 0.376564 0.623436 0.037304096
Trend Acceleration (inverted) 0.079782 0.453000 0.547000 0.043640599
Factor Total: 0.658541323
Reconstructed Raw Score: 0.658541
Historical Raw Score: 0.658541

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

Positive Evidence
✓ High liquidity
✓ Controlled risk
✓ Positive sector tags
Negative Evidence
! Weak momentum
! Weak trend
! Risk sector tags
Momentum 35%
Trend 33%
Liquidity 94%
Market Quality 60%
Risk Control 75%
Relative Strength 38%
Trend Acceleration 45%
Sector Rotation 32%
Sector Strength 31%
Supply Quality 99%
Mean Reversion Risk 34%
Momentum Exhaustion 31%
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 0.553 0.440 – 0.717 1.0000 3
Depth 0.845 0.553 – 1.000 1.0000 3
Eth Relative Strength 0.565 0.452 – 0.729 1.0000 3
Extension 0.000 0.000 – 0.000 1.0000 3
Liquidity 0.848 0.601 – 1.000 1.0200 3
Macro Btc Dominance 0.685 0.685 – 0.685 1.0000 3
Macro Eth Dominance 0.193 0.193 – 0.193 1.0000 3
Macro Fear Greed 0.000 0.000 – 0.000 1.0000 3
Market Quality 0.772 0.602 – 0.873 0.9996 3
Mean Reversion Risk 0.347 0.338 – 0.354 1.0000 3
Momentum 0.526 0.346 – 0.653 1.0000 3
Momentum Exhaustion 0.370 0.306 – 0.450 1.0000 3
Pump Risk 0.200 0.200 – 0.200 1.0000 3
Rank 0.585 0.118 – 0.899 1.0000 3
Relative Strength 0.532 0.377 – 0.616 1.0000 3
Risk Control 0.806 0.749 – 0.868 0.9996 3
Sector Rotation 0.407 0.306 – 0.595 1.0000 3
Sector Strength 0.373 0.306 – 0.492 1.0000 3
Supply Quality 0.834 0.700 – 0.990 1.0200 3
Trend 0.523 0.333 – 0.666 1.0000 3
Trend Acceleration 0.395 0.138 – 0.595 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.