VADIE™ Research Archive

Historical Decision Report

Official autonomous portfolio evidence retained from the VisionX AI competition record.
Portfolio #162 Competition C133 Portfolio Engine v5.6.0 SETTLED
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Research Identity

VDX Daily Top Picks #20260806

Strategy: cmc_v4_daily_long_short
Submitted: 2026-08-04 00:05:02
Scored: 2026-08-17 02:10:01
Final Rank
#1
Rank reflects relative competition performance.
Final Score
0.9186%
Engine Status
LIVE
Payout
No payout recorded
Portfolio Environment

Decision Context

Market Regime
Neutral
Macro Regime
Neutral
Breadth
Weak
Confidence
High
Expected Alpha
0.790
Optimizer
0.790
Portfolio Quality
0.900
Portfolio Risk
0.667
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
0.789759
Memory Adjustment
0.000667
Expected Alpha
0.790426
Correlation Score
0.271583
Correlation Penalty
0.000000
Final Optimizer Score
0.790426

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
2026-08-04 00:05:01
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
0.705
Decision Score Mathematics

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

LONG = clamp(raw - exhaustion - crash, 0, 1)
Raw LONG Score
0.705476
Exhaustion Penalty
0.000000
After Exhaustion
0.705476
Crash Guard Penalty
0.000000
Final Selection Score
0.705476
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 0.598217 0.598217 0.173606161
Trend 0.199454 0.584955 0.584955 0.113171632
Liquidity 0.142410 0.908456 0.908456 0.125492344
Market Quality 0.079750 0.918559 0.918559 0.071057254
Risk Control 0.079750 0.847350 0.847350 0.065548717
Rank 0.059836 0.899160 0.899160 0.052188325
Relative Strength 0.059836 0.645900 0.645900 0.037488811
Trend Acceleration 0.079782 0.728500 0.728500 0.056377352
Factor Total: 0.694930595
Macro Contribution: 0.010544880
Reconstructed Raw Score: 0.705475
Historical Raw Score: 0.705476

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 60%
Trend 58%
Liquidity 91%
Market Quality 92%
Risk Control 85%
Relative Strength 65%
Trend Acceleration 73%
Sector Rotation 31%
Sector Strength 32%
Supply Quality 81%
Mean Reversion Risk 32%
Momentum Exhaustion 35%
LONG KAITO Decision #2
Sector: Ai · Pump risk: Low · Crash risk: Low
Decision Score
0.599
Decision Score Mathematics

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

LONG = clamp(raw - exhaustion - crash, 0, 1)
Raw LONG Score
0.611592
Exhaustion Penalty
0.012594
After Exhaustion
0.598998
Crash Guard Penalty
0.000000
Final Selection Score
0.598998
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 0.612177 0.612177 0.177657436
Trend 0.199454 0.595728 0.595728 0.115255892
Liquidity 0.142410 1.000000 1.000000 0.138138054
Market Quality 0.079750 0.375467 0.375467 0.029045117
Risk Control 0.079750 0.420563 0.420563 0.032533623
Rank 0.059836 0.075630 0.075630 0.004389656
Relative Strength 0.059836 0.458971 0.458971 0.026639227
Trend Acceleration 0.079782 1.000000 1.000000 0.077388266
Factor Total: 0.601047271
Macro Contribution: 0.010544880
Reconstructed Raw Score: 0.611592
Historical Raw Score: 0.611592

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

Positive Evidence
✓ High liquidity
Negative Evidence
No negative factors recorded.
Momentum 61%
Trend 60%
Liquidity 100%
Market Quality 38%
Risk Control 42%
Relative Strength 46%
Trend Acceleration 100%
Sector Rotation 35%
Sector Strength 36%
Supply Quality 24%
Mean Reversion Risk 39%
Momentum Exhaustion 36%
SHORT BONK Decision #3
Sector: Layer2 · Pump risk: Low · Crash risk: Low
Decision Score
0.664
Decision Score Mathematics

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

SHORT = clamp(raw - rebound, 0, 1)
Raw SHORT Score
0.663669
Rebound Penalty
0.000000
After Rebound
0.663669
Final Selection Score
0.663669
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 0.323623 0.676377 0.202359445
Trend (inverted) 0.199454 0.311276 0.688724 0.137368959
Liquidity 0.142410 0.964753 0.964753 0.137390827
Market Quality 0.079750 0.604825 0.604825 0.048234676
Risk Control 0.079750 0.734250 0.734250 0.058556294
Rank 0.059836 0.109244 0.109244 0.006536755
Relative Strength (inverted) 0.059836 0.352971 0.647029 0.038715814
Trend Acceleration (inverted) 0.079782 0.567500 0.432500 0.034505593
Factor Total: 0.663668361
Reconstructed Raw Score: 0.663668
Historical Raw Score: 0.663669

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 32%
Trend 31%
Liquidity 96%
Market Quality 60%
Risk Control 73%
Relative Strength 35%
Trend Acceleration 57%
Sector Rotation 32%
Sector Strength 31%
Supply Quality 99%
Mean Reversion Risk 32%
Momentum Exhaustion 28%
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 0.480 0.153 – 0.816 1.0000 3
Depth 0.579 0.186 – 1.000 1.0000 3
Eth Relative Strength 0.496 0.169 – 0.833 1.0000 3
Extension 0.000 0.000 – 0.000 1.0000 3
Liquidity 0.958 0.908 – 1.000 1.0200 3
Macro Btc Dominance 0.678 0.678 – 0.678 1.0000 3
Macro Eth Dominance 0.185 0.185 – 0.185 1.0000 3
Macro Fear Greed 0.000 0.000 – 0.000 1.0000 3
Market Quality 0.633 0.375 – 0.919 0.9996 3
Mean Reversion Risk 0.344 0.316 – 0.392 1.0000 3
Momentum 0.511 0.324 – 0.612 1.0000 3
Momentum Exhaustion 0.328 0.277 – 0.357 1.0000 3
Pump Risk 0.200 0.200 – 0.200 1.0000 3
Rank 0.361 0.076 – 0.899 1.0000 3
Relative Strength 0.486 0.353 – 0.646 1.0000 3
Risk Control 0.667 0.421 – 0.847 0.9996 3
Sector Rotation 0.325 0.306 – 0.349 1.0000 3
Sector Strength 0.330 0.306 – 0.361 1.0000 3
Supply Quality 0.681 0.241 – 0.990 1.0200 3
Trend 0.497 0.311 – 0.596 1.0000 3
Trend Acceleration 0.765 0.568 – 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.