VADIE™ Research Archive

Historical Decision Report

Official autonomous portfolio evidence retained from the VisionX AI competition record.
Portfolio #156 Competition C127 Portfolio Engine v5.6.0 SETTLED
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Research Identity

VDX Daily Top Picks #20260802

Strategy: cmc_v4_daily_long_short
Submitted: 2026-07-31 00:05:02
Scored: 2026-08-17 02:10:01
Final Rank
#1
Rank reflects relative competition performance.
Final Score
-6.8479%
Engine Status
LIVE
Payout
No payout recorded
Portfolio Environment

Decision Context

Market Regime
Neutral
Macro Regime
Neutral
Breadth
Weak
Confidence
High
Expected Alpha
0.803
Optimizer
0.803
Portfolio Quality
0.883
Portfolio Risk
0.611
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
0.809405
Memory Adjustment
-0.006667
Expected Alpha
0.802738
Correlation Score
0.194858
Correlation Penalty
0.000000
Final Optimizer Score
0.802738

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
2026-07-31 00:05:01
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
0.764
Decision Score Mathematics

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

LONG = clamp(raw - exhaustion - crash, 0, 1)
Raw LONG Score
0.775220
Exhaustion Penalty
0.010783
After Exhaustion
0.764436
Crash Guard Penalty
0.000000
Final Selection Score
0.764436
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 0.805940 0.805940 0.233888621
Trend 0.199454 0.806256 0.806256 0.155986884
Liquidity 0.142410 1.000000 1.000000 0.138138054
Market Quality 0.079750 0.880345 0.880345 0.068101121
Risk Control 0.079750 0.720084 0.720084 0.055703762
Rank 0.059836 0.764706 0.764706 0.044384453
Relative Strength 0.059836 0.826464 0.826464 0.047968962
Trend Acceleration 0.079782 0.262750 0.262750 0.020333767
Factor Total: 0.764505624
Macro Contribution: 0.010714140
Reconstructed Raw Score: 0.775220
Historical Raw Score: 0.775220

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
✓ Controlled risk
Negative Evidence
No negative factors recorded.
Momentum 81%
Trend 81%
Liquidity 100%
Market Quality 88%
Risk Control 72%
Relative Strength 83%
Trend Acceleration 26%
Sector Rotation 60%
Sector Strength 49%
Supply Quality 70%
Mean Reversion Risk 39%
Momentum Exhaustion 52%
LONG KAITO Decision #2
Sector: Ai · 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
0.729626
Exhaustion Penalty
0.033115
After Exhaustion
0.696511
Crash Guard Penalty
0.000000
Final Selection Score
0.696511
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 0.889441 0.889441 0.258121112
Trend 0.199454 0.693518 0.693518 0.134175388
Liquidity 0.142410 1.000000 1.000000 0.138138054
Market Quality 0.079750 0.397671 0.397671 0.030762759
Risk Control 0.079750 0.358285 0.358285 0.027715964
Rank 0.059836 0.151261 0.151261 0.008779370
Relative Strength 0.059836 0.755171 0.755171 0.043831031
Trend Acceleration 0.079782 1.000000 1.000000 0.077388266
Factor Total: 0.718911943
Macro Contribution: 0.010714140
Reconstructed Raw Score: 0.729626
Historical Raw Score: 0.729626

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

Positive Evidence
✓ Strong momentum
✓ High liquidity
Negative Evidence
No negative factors recorded.
Momentum 89%
Trend 69%
Liquidity 100%
Market Quality 40%
Risk Control 36%
Relative Strength 76%
Trend Acceleration 100%
Sector Rotation 35%
Sector Strength 36%
Supply Quality 24%
Mean Reversion Risk 46%
Momentum Exhaustion 51%
SHORT BONK Decision #3
Sector: Layer2 · Pump risk: Low · Crash risk: Low
Decision Score
0.693
Decision Score Mathematics

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

SHORT = clamp(raw - rebound, 0, 1)
Raw SHORT Score
0.693259
Rebound Penalty
0.000000
After Rebound
0.693259
Final Selection Score
0.693259
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 0.365950 0.634050 0.189695992
Trend (inverted) 0.199454 0.346896 0.653104 0.130264397
Liquidity 0.142410 1.000000 1.000000 0.142410365
Market Quality 0.079750 0.615939 0.615939 0.049121015
Risk Control 0.079750 0.754105 0.754105 0.060139726
Rank 0.059836 0.117647 0.117647 0.007039560
Relative Strength (inverted) 0.059836 0.418314 0.581686 0.034805931
Trend Acceleration (inverted) 0.079782 0.000000 1.000000 0.079781717
Factor Total: 0.693258703
Reconstructed Raw Score: 0.693259
Historical Raw Score: 0.693259

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
! Risk sector tags
Momentum 37%
Trend 35%
Liquidity 100%
Market Quality 62%
Risk Control 75%
Relative Strength 42%
Trend Acceleration 0%
Sector Rotation 32%
Sector Strength 31%
Supply Quality 99%
Mean Reversion Risk 37%
Momentum Exhaustion 39%
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 0.621 0.512 – 0.724 1.0000 3
Depth 0.572 0.185 – 0.979 1.0000 3
Eth Relative Strength 0.585 0.475 – 0.687 1.0000 3
Extension 0.012 0.000 – 0.037 1.0000 3
Liquidity 1.000 1.000 – 1.000 1.0200 3
Macro Btc Dominance 0.684 0.684 – 0.684 1.0000 3
Macro Eth Dominance 0.197 0.197 – 0.197 1.0000 3
Macro Fear Greed 0.000 0.000 – 0.000 1.0000 3
Market Quality 0.631 0.398 – 0.880 0.9996 3
Mean Reversion Risk 0.405 0.370 – 0.460 1.0000 3
Momentum 0.687 0.366 – 0.889 1.0000 3
Momentum Exhaustion 0.472 0.388 – 0.520 1.0000 3
Pump Risk 0.200 0.200 – 0.200 1.0000 3
Rank 0.345 0.118 – 0.765 1.0000 3
Relative Strength 0.667 0.418 – 0.826 1.0000 3
Risk Control 0.611 0.358 – 0.754 0.9996 3
Sector Rotation 0.421 0.320 – 0.595 1.0000 3
Sector Strength 0.386 0.306 – 0.492 1.0000 3
Supply Quality 0.644 0.241 – 0.990 1.0200 3
Trend 0.616 0.347 – 0.806 1.0000 3
Trend Acceleration 0.421 0.000 – 1.000 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.