VADIE™ Research Archive

Historical Decision Report

Official autonomous portfolio evidence retained from the VisionX AI competition record.
Portfolio #165 Competition C136 Portfolio Engine v5.6.0 SETTLED
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Research Identity

VDX Daily Top Picks #20260809

Strategy: cmc_v4_daily_long_short
Submitted: 2026-08-07 00:05:02
Scored: 2026-08-17 02:10:01
Final Rank
#1
Rank reflects relative competition performance.
Final Score
0.3588%
Engine Status
LIVE
Payout
No payout recorded
Portfolio Environment

Decision Context

Market Regime
Neutral
Macro Regime
Neutral
Breadth
Weak
Confidence
High
Expected Alpha
0.786
Optimizer
0.786
Portfolio Quality
0.909
Portfolio Risk
0.698
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
0.780886
Memory Adjustment
0.004667
Expected Alpha
0.785553
Correlation Score
0.444500
Correlation Penalty
0.000000
Final Optimizer Score
0.785553

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
2026-08-07 00:05:02
Historical Portfolio

Autonomous Decisions

Decision evidence exactly as retained when this portfolio was generated.
3 picks
LONG ADA Decision #1
Sector: Layer1 · Pump risk: Low · Crash risk: Low
Decision Score
0.668
Decision Score Mathematics

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

LONG = clamp(raw - exhaustion - crash, 0, 1)
Raw LONG Score
0.671243
Exhaustion Penalty
0.003125
After Exhaustion
0.668118
Crash Guard Penalty
0.000000
Final Selection Score
0.668118
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 0.617697 0.617697 0.179259373
Trend 0.199454 0.604234 0.604234 0.116901553
Liquidity 0.142410 1.000000 1.000000 0.138138054
Market Quality 0.079750 0.941445 0.941445 0.072827653
Risk Control 0.079750 0.812184 0.812184 0.062828370
Rank 0.059836 0.899160 0.899160 0.052188325
Relative Strength 0.059836 0.661400 0.661400 0.038388449
Trend Acceleration 0.079782 0.000000 0.000000 0.000000000
Factor Total: 0.660531778
Macro Contribution: 0.010710990
Reconstructed Raw Score: 0.671243
Historical Raw Score: 0.671243

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 62%
Trend 60%
Liquidity 100%
Market Quality 94%
Risk Control 81%
Relative Strength 66%
Trend Acceleration 0%
Sector Rotation 31%
Sector Strength 32%
Supply Quality 81%
Mean Reversion Risk 36%
Momentum Exhaustion 47%
LONG LIT Decision #2
Sector: Defi · Pump risk: Low · Crash risk: Low
Decision Score
0.619
Decision Score Mathematics

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

LONG = clamp(raw - exhaustion - crash, 0, 1)
Raw LONG Score
0.647338
Exhaustion Penalty
0.028025
After Exhaustion
0.619312
Crash Guard Penalty
0.000000
Final Selection Score
0.619312
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 0.663151 0.663151 0.192450397
Trend 0.199454 0.730862 0.730862 0.141400357
Liquidity 0.142410 0.753496 0.753496 0.104086471
Market Quality 0.079750 0.388500 0.388500 0.030053315
Risk Control 0.079750 0.470834 0.470834 0.036422452
Rank 0.059836 0.428571 0.428571 0.024874775
Relative Strength 0.059836 0.542686 0.542686 0.031498146
Trend Acceleration 0.079782 0.980000 0.980000 0.075840500
Factor Total: 0.636626413
Macro Contribution: 0.010710990
Reconstructed Raw Score: 0.647337
Historical Raw Score: 0.647338

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

Positive Evidence
✓ Strong trend
✓ High liquidity
✓ Positive sector tags
Negative Evidence
No negative factors recorded.
Momentum 66%
Trend 73%
Liquidity 75%
Market Quality 39%
Risk Control 47%
Relative Strength 54%
Trend Acceleration 98%
Sector Rotation 60%
Sector Strength 49%
Supply Quality 25%
Mean Reversion Risk 44%
Momentum Exhaustion 40%
SHORT FET Decision #3
Sector: Ai · Pump risk: Low · Crash risk: Low
Decision Score
0.688
Decision Score Mathematics

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

SHORT = clamp(raw - rebound, 0, 1)
Raw SHORT Score
0.688382
Rebound Penalty
0.000000
After Rebound
0.688382
Final Selection Score
0.688382
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 (inverted) 0.299181 0.365554 0.634446 0.189814468
Trend (inverted) 0.199454 0.347622 0.652378 0.130119593
Liquidity 0.142410 1.000000 1.000000 0.142410365
Market Quality 0.079750 0.610101 0.610101 0.048655435
Risk Control 0.079750 0.810728 0.810728 0.064655400
Rank 0.059836 0.201681 0.201681 0.012067842
Relative Strength (inverted) 0.059836 0.395421 0.604579 0.036175763
Trend Acceleration (inverted) 0.079782 0.191750 0.808250 0.064483573
Factor Total: 0.688382439
Reconstructed Raw Score: 0.688382
Historical Raw Score: 0.688382

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 trend
Momentum 37%
Trend 35%
Liquidity 100%
Market Quality 61%
Risk Control 81%
Relative Strength 40%
Trend Acceleration 19%
Sector Rotation 35%
Sector Strength 36%
Supply Quality 82%
Mean Reversion Risk 38%
Momentum Exhaustion 37%
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 0.575 0.445 – 0.737 1.0000 3
Depth 0.498 0.110 – 1.000 1.0000 3
Eth Relative Strength 0.578 0.448 – 0.740 1.0000 3
Extension 0.000 0.000 – 0.000 1.0000 3
Liquidity 0.918 0.753 – 1.000 1.0200 3
Macro Btc Dominance 0.685 0.685 – 0.685 1.0000 3
Macro Eth Dominance 0.195 0.195 – 0.195 1.0000 3
Macro Fear Greed 0.000 0.000 – 0.000 1.0000 3
Market Quality 0.647 0.389 – 0.941 0.9996 3
Mean Reversion Risk 0.394 0.360 – 0.443 1.0000 3
Momentum 0.549 0.366 – 0.663 1.0000 3
Momentum Exhaustion 0.413 0.372 – 0.468 1.0000 3
Pump Risk 0.200 0.200 – 0.200 1.0000 3
Rank 0.510 0.202 – 0.899 1.0000 3
Relative Strength 0.533 0.395 – 0.661 1.0000 3
Risk Control 0.698 0.471 – 0.812 0.9996 3
Sector Rotation 0.417 0.306 – 0.595 1.0000 3
Sector Strength 0.392 0.322 – 0.492 1.0000 3
Supply Quality 0.627 0.250 – 0.820 1.0200 3
Trend 0.561 0.348 – 0.731 1.0000 3
Trend Acceleration 0.391 0.000 – 0.980 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.