VADIE™ Research Archive

Historical Decision Report

Official autonomous portfolio evidence retained from the VisionX AI competition record.
Portfolio #159 Competition C130 Portfolio Engine v5.6.0 SETTLED
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Research Identity

VDX Daily Top Picks #20260804

Strategy: cmc_v4_daily_long_short
Submitted: 2026-08-02 00:05:02
Scored: 2026-08-17 02:10:01
Final Rank
#1
Rank reflects relative competition performance.
Final Score
-1.0620%
Engine Status
LIVE
Payout
No payout recorded
Portfolio Environment

Decision Context

Market Regime
Neutral
Macro Regime
Neutral
Breadth
Weak
Confidence
High
Expected Alpha
0.820
Optimizer
0.820
Portfolio Quality
0.935
Portfolio Risk
0.783
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
0.819076
Memory Adjustment
0.000667
Expected Alpha
0.819742
Correlation Score
0.307367
Correlation Penalty
0.000000
Final Optimizer Score
0.819742

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
2026-08-02 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
0.697
Decision Score Mathematics

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

LONG = clamp(raw - exhaustion - crash, 0, 1)
Raw LONG Score
0.697402
Exhaustion Penalty
0.000000
After Exhaustion
0.697402
Crash Guard Penalty
0.000000
Final Selection Score
0.697402
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 0.626640 0.626640 0.181854686
Trend 0.199454 0.629634 0.629634 0.121815708
Liquidity 0.142410 0.887783 0.887783 0.122636616
Market Quality 0.079750 0.847380 0.847380 0.065551038
Risk Control 0.079750 0.782639 0.782639 0.060542848
Rank 0.059836 0.747899 0.747899 0.043408955
Relative Strength 0.059836 0.598471 0.598471 0.034735975
Trend Acceleration 0.079782 0.727750 0.727750 0.056319310
Factor Total: 0.686865136
Macro Contribution: 0.010537080
Reconstructed Raw Score: 0.697402
Historical Raw Score: 0.697402

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 63%
Trend 63%
Liquidity 89%
Market Quality 85%
Risk Control 78%
Relative Strength 60%
Trend Acceleration 73%
Sector Rotation 60%
Sector Strength 49%
Supply Quality 70%
Mean Reversion Risk 32%
Momentum Exhaustion 35%
LONG DASH Decision #2
Sector: Other · Pump risk: Low · Crash risk: Low
Decision Score
0.551
Decision Score Mathematics

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

LONG = clamp(raw - exhaustion - crash, 0, 1)
Raw LONG Score
0.558114
Exhaustion Penalty
0.006752
After Exhaustion
0.551362
Crash Guard Penalty
0.000000
Final Selection Score
0.551362
LONG Candidate Blocked
No
Confidence Calibration
Raw Confidence: 95
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 0.442267 0.442267 0.128348535
Trend 0.199454 0.436729 0.436729 0.084494250
Liquidity 0.142410 1.000000 1.000000 0.138138054
Market Quality 0.079750 0.621317 0.621317 0.048063412
Risk Control 0.079750 0.822987 0.822987 0.063664061
Rank 0.059836 0.310924 0.310924 0.018046402
Relative Strength 0.059836 0.455614 0.455614 0.026444383
Trend Acceleration 0.079782 0.521750 0.521750 0.040377328
Factor Total: 0.547576425
Macro Contribution: 0.010537080
Reconstructed Raw Score: 0.558114
Historical Raw Score: 0.558114

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
No negative factors recorded.
Momentum 44%
Trend 44%
Liquidity 100%
Market Quality 62%
Risk Control 82%
Relative Strength 46%
Trend Acceleration 52%
Sector Rotation 40%
Sector Strength 38%
Supply Quality 68%
Mean Reversion Risk 37%
Momentum Exhaustion 36%
SHORT DEXE Decision #3
Sector: Defi · Pump risk: Low · Crash risk: High
Decision Score
0.867
Decision Score Mathematics

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

SHORT = clamp(raw - rebound, 0, 1)
Raw SHORT Score
0.867136
Rebound Penalty
0.000000
After Rebound
0.867136
Final Selection Score
0.867136
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 0.000000 1.000000 0.299181440
Trend (inverted) 0.199454 0.076659 0.923341 0.184164326
Liquidity 0.142410 1.000000 1.000000 0.142410365
Market Quality 0.079750 0.515046 0.515046 0.041074818
Risk Control 0.079750 0.742050 0.742050 0.059178342
Rank 0.059836 0.025210 0.025210 0.001508473
Relative Strength (inverted) 0.059836 0.000000 1.000000 0.059836288
Trend Acceleration (inverted) 0.079782 0.000000 1.000000 0.079781717
Factor Total: 0.867135769
Reconstructed Raw Score: 0.867136
Historical Raw Score: 0.867136

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
! High crash risk
! Weak momentum
! Weak trend
Momentum 0%
Trend 8%
Liquidity 100%
Market Quality 52%
Risk Control 74%
Relative Strength 0%
Trend Acceleration 0%
Sector Rotation 60%
Sector Strength 49%
Supply Quality 87%
Mean Reversion Risk 34%
Momentum Exhaustion 24%
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 0.382 0.000 – 0.673 1.0000 3
Depth 0.500 0.137 – 0.980 1.0000 3
Eth Relative Strength 0.375 0.000 – 0.661 1.0000 3
Extension 0.000 0.000 – 0.000 1.0000 3
Liquidity 0.963 0.888 – 1.000 1.0200 3
Macro Btc Dominance 0.677 0.677 – 0.677 1.0000 3
Macro Eth Dominance 0.187 0.187 – 0.187 1.0000 3
Macro Fear Greed 0.000 0.000 – 0.000 1.0000 3
Market Quality 0.661 0.515 – 0.847 0.9996 3
Mean Reversion Risk 0.345 0.321 – 0.373 1.0000 3
Momentum 0.356 0.000 – 0.627 1.0000 3
Momentum Exhaustion 0.315 0.236 – 0.357 1.0000 3
Pump Risk 0.200 0.200 – 0.200 1.0000 3
Rank 0.361 0.025 – 0.748 1.0000 3
Relative Strength 0.351 0.000 – 0.598 1.0000 3
Risk Control 0.783 0.742 – 0.823 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 0.748 0.677 – 0.868 1.0200 3
Trend 0.381 0.077 – 0.630 1.0000 3
Trend Acceleration 0.417 0.000 – 0.728 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.