VADIE™ Research Archive

Historical Decision Report

Official autonomous portfolio evidence retained from the VisionX AI competition record.
Portfolio #190 Competition C161 Portfolio Engine v5.6.0 SETTLED
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Research Identity

VDX Daily Top Picks #20260831

Strategy: cmc_v4_daily_long_short
Submitted: 2026-08-29 00:05:01
Scored: 2026-09-01 00:15:01
Final Rank
#1
Rank reflects relative competition performance.
Final Score
0.5920%
Engine Status
LIVE
Payout
No payout recorded
Portfolio Environment

Decision Context

Market Regime
Neutral
Macro Regime
Neutral
Breadth
Neutral
Confidence
High
Expected Alpha
0.828
Optimizer
0.828
Portfolio Quality
0.920
Portfolio Risk
0.733
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
0.830925
Memory Adjustment
-0.003333
Expected Alpha
0.827592
Correlation Score
0.316283
Correlation Penalty
0.000000
Final Optimizer Score
0.827592

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
2026-08-29 00:05:01
Historical Portfolio

Autonomous Decisions

Decision evidence exactly as retained when this portfolio was generated.
3 picks
LONG ENA Decision #1
Sector: Defi · Pump risk: Low · Crash risk: Low
Decision Score
0.804
Decision Score Mathematics

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

LONG = clamp(raw - exhaustion - crash, 0, 1)
Raw LONG Score
0.814815
Exhaustion Penalty
0.011287
After Exhaustion
0.803528
Crash Guard Penalty
0.000000
Final Selection Score
0.803528
LONG Candidate Blocked
No
Confidence Calibration
Raw Confidence: 99
Confidence Cap: 90
Final Confidence Index: 90
Calibration Samples: 27

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 0.902504 0.902504 0.261912073
Trend 0.199454 0.749794 0.749794 0.145063143
Liquidity 0.142410 1.000000 1.000000 0.138138054
Market Quality 0.079750 0.648674 0.648674 0.050179676
Risk Control 0.079750 0.579389 0.579389 0.044819975
Rank 0.059836 0.630252 0.630252 0.036580582
Relative Strength 0.059836 0.851386 0.851386 0.049415464
Trend Acceleration 0.079782 1.000000 1.000000 0.077388266
Factor Total: 0.803497233
Macro Contribution: 0.011317230
Reconstructed Raw Score: 0.814814
Historical Raw Score: 0.814815

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
✓ Positive sector tags
Negative Evidence
No negative factors recorded.
Momentum 90%
Trend 75%
Liquidity 100%
Market Quality 65%
Risk Control 58%
Relative Strength 85%
Trend Acceleration 100%
Sector Rotation 50%
Sector Strength 44%
Supply Quality 66%
Mean Reversion Risk 39%
Momentum Exhaustion 52%
LONG STX Decision #2
Sector: Layer1 · Pump risk: Low · Crash risk: Low
Decision Score
0.775
Decision Score Mathematics

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

LONG = clamp(raw - exhaustion - crash, 0, 1)
Raw LONG Score
0.801774
Exhaustion Penalty
0.027189
After Exhaustion
0.774585
Crash Guard Penalty
0.000000
Final Selection Score
0.774585
LONG Candidate Blocked
No
Confidence Calibration
Raw Confidence: 98
Confidence Cap: 90
Final Confidence Index: 90
Calibration Samples: 27

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 0.904926 0.904926 0.262614951
Trend 0.199454 0.865547 0.865547 0.167457953
Liquidity 0.142410 0.737364 0.737364 0.101858028
Market Quality 0.079750 0.557401 0.557401 0.043119042
Risk Control 0.079750 0.846135 0.846135 0.065454728
Rank 0.059836 0.277311 0.277311 0.016095463
Relative Strength 0.059836 0.972907 0.972907 0.056468689
Trend Acceleration 0.079782 1.000000 1.000000 0.077388266
Factor Total: 0.790457121
Macro Contribution: 0.011317230
Reconstructed Raw Score: 0.801774
Historical Raw Score: 0.801774

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
✓ Controlled risk
✓ Positive sector tags
Negative Evidence
! Momentum appears extended
Momentum 90%
Trend 87%
Liquidity 74%
Market Quality 56%
Risk Control 85%
Relative Strength 97%
Trend Acceleration 100%
Sector Rotation 49%
Sector Strength 43%
Supply Quality 100%
Mean Reversion Risk 44%
Momentum Exhaustion 56%
SHORT FET Decision #3
Sector: Ai · Pump risk: Low · Crash risk: Low
Decision Score
0.627
Decision Score Mathematics

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

SHORT = clamp(raw - rebound, 0, 1)
Raw SHORT Score
0.627411
Rebound Penalty
0.000000
After Rebound
0.627411
Final Selection Score
0.627411
Confidence Calibration
Raw Confidence: 99
Confidence Cap: 90
Final Confidence Index: 90
Calibration Samples: 27

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 0.396041 0.603959 0.180693323
Trend (inverted) 0.199454 0.370298 0.629702 0.125596767
Liquidity 0.142410 1.000000 1.000000 0.142410365
Market Quality 0.079750 0.617214 0.617214 0.049222696
Risk Control 0.079750 0.774515 0.774515 0.061767420
Rank 0.059836 0.218487 0.218487 0.013073451
Relative Strength (inverted) 0.059836 0.411714 0.588286 0.035200850
Trend Acceleration (inverted) 0.079782 0.756250 0.243750 0.019446794
Factor Total: 0.627411666
Reconstructed Raw Score: 0.627412
Historical Raw Score: 0.627411

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 40%
Trend 37%
Liquidity 100%
Market Quality 62%
Risk Control 77%
Relative Strength 41%
Trend Acceleration 76%
Sector Rotation 44%
Sector Strength 39%
Supply Quality 83%
Mean Reversion Risk 28%
Momentum Exhaustion 30%
Learning Audit

Factor Intelligence

Portfolio-level audit summary. Each observation represents one stored pick-factor result.
Factor Average Range Weight Records
Breadth 0.442 0.442 – 0.442 1.0000 3
Btc Relative Strength 0.687 0.366 – 1.000 1.0000 3
Depth 0.300 0.199 – 0.385 1.0000 3
Eth Relative Strength 0.710 0.399 – 1.000 1.0000 3
Extension 0.032 0.000 – 0.054 1.0000 3
Liquidity 0.912 0.737 – 1.000 1.0200 3
Macro Btc Dominance 0.707 0.707 – 0.707 1.0000 3
Macro Eth Dominance 0.237 0.237 – 0.237 1.0000 3
Macro Fear Greed 0.000 0.000 – 0.000 1.0000 3
Market Quality 0.608 0.557 – 0.649 0.9996 3
Mean Reversion Risk 0.369 0.280 – 0.441 1.0000 3
Momentum 0.734 0.396 – 0.905 1.0000 3
Momentum Exhaustion 0.460 0.299 – 0.557 1.0000 3
Pump Risk 0.200 0.200 – 0.200 1.0000 3
Rank 0.375 0.218 – 0.630 1.0000 3
Relative Strength 0.745 0.412 – 0.973 1.0000 3
Risk Control 0.733 0.579 – 0.846 0.9996 3
Sector Rotation 0.476 0.438 – 0.503 1.0000 3
Sector Strength 0.421 0.395 – 0.439 1.0000 3
Supply Quality 0.829 0.655 – 1.000 1.0200 3
Trend 0.662 0.370 – 0.866 1.0000 3
Trend Acceleration 0.919 0.756 – 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.