VADIE™ Research Archive

Historical Decision Report

Official autonomous portfolio evidence retained from the VisionX AI competition record.
Portfolio #213 Competition C184 Portfolio Engine v5.6.0 SETTLED
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Research Identity

VDX Daily Top Picks #20260919

Strategy: cmc_v4_daily_long_short
Submitted: 2026-09-17 00:05:02
Scored: 2026-09-20 00:10:01
Final Rank
#1
Rank reflects relative competition performance.
Final Score
-1.9805%
Engine Status
LIVE
Payout
No payout recorded
Portfolio Environment

Decision Context

Market Regime
Neutral
Macro Regime
Neutral
Breadth
Neutral
Confidence
High
Expected Alpha
0.834
Optimizer
0.834
Portfolio Quality
0.944
Portfolio Risk
0.814
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
0.843668
Memory Adjustment
-0.010000
Expected Alpha
0.833668
Correlation Score
0.458183
Correlation Penalty
0.000000
Final Optimizer Score
0.833668

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
2026-09-17 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
0.880
Decision Score Mathematics

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

LONG = clamp(raw - exhaustion - crash, 0, 1)
Raw LONG Score
0.879836
Exhaustion Penalty
0.000000
After Exhaustion
0.879836
Crash Guard Penalty
0.000000
Final Selection Score
0.879836
LONG Candidate Blocked
No
Confidence Calibration
Raw Confidence: 99
Confidence Cap: 90
Final Confidence Index: 90
Calibration Samples: 48

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 0.936584 0.936584 0.271802293
Trend 0.199454 0.795719 0.795719 0.153948283
Liquidity 0.142410 1.000000 1.000000 0.138138054
Market Quality 0.079750 0.903393 0.903393 0.069884053
Risk Control 0.079750 0.751547 0.751547 0.058137655
Rank 0.059836 0.831933 0.831933 0.048286389
Relative Strength 0.059836 0.881636 0.881636 0.051171211
Trend Acceleration 0.079782 1.000000 1.000000 0.077388266
Factor Total: 0.868756203
Macro Contribution: 0.011080110
Reconstructed Raw Score: 0.879836
Historical Raw Score: 0.879836

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 94%
Trend 80%
Liquidity 100%
Market Quality 90%
Risk Control 75%
Relative Strength 88%
Trend Acceleration 100%
Sector Rotation 56%
Sector Strength 45%
Supply Quality 70%
Mean Reversion Risk 27%
Momentum Exhaustion 47%
LONG NEAR Decision #2
Sector: Layer1 · Pump risk: Low · Crash risk: Low
Decision Score
0.803
Decision Score Mathematics

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

LONG = clamp(raw - exhaustion - crash, 0, 1)
Raw LONG Score
0.803159
Exhaustion Penalty
0.000000
After Exhaustion
0.803159
Crash Guard Penalty
0.000000
Final Selection Score
0.803159
LONG Candidate Blocked
No
Confidence Calibration
Raw Confidence: 98
Confidence Cap: 90
Final Confidence Index: 90
Calibration Samples: 48

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 0.750611 0.750611 0.217831813
Trend 0.199454 0.743918 0.743918 0.143926310
Liquidity 0.142410 1.000000 1.000000 0.138138054
Market Quality 0.079750 0.828962 0.828962 0.064126271
Risk Control 0.079750 0.783947 0.783947 0.060644031
Rank 0.059836 0.798319 0.798319 0.046335392
Relative Strength 0.059836 0.775057 0.775057 0.044985238
Trend Acceleration 0.079782 0.983250 0.983250 0.076092012
Factor Total: 0.792079121
Macro Contribution: 0.011080110
Reconstructed Raw Score: 0.803159
Historical Raw Score: 0.803159

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 75%
Trend 74%
Liquidity 100%
Market Quality 83%
Risk Control 78%
Relative Strength 78%
Trend Acceleration 98%
Sector Rotation 51%
Sector Strength 39%
Supply Quality 100%
Mean Reversion Risk 31%
Momentum Exhaustion 44%
SHORT PAXG Decision #3
Sector: Rwa · Pump risk: Low · Crash risk: Low
Decision Score
0.640
Decision Score Mathematics

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

SHORT = clamp(raw - rebound, 0, 1)
Raw SHORT Score
0.639529
Rebound Penalty
0.000000
After Rebound
0.639529
Final Selection Score
0.639529
Confidence Calibration
Raw Confidence: 99
Confidence Cap: 90
Final Confidence Index: 90
Calibration Samples: 48

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 0.489533 0.510467 0.152722252
Trend (inverted) 0.199454 0.494163 0.505837 0.100891361
Liquidity 0.142410 1.000000 1.000000 0.142410365
Market Quality 0.079750 0.760468 0.760468 0.060647174
Risk Control 0.079750 0.907121 0.907121 0.072342722
Rank 0.059836 0.680672 0.680672 0.040728886
Relative Strength (inverted) 0.059836 0.476057 0.523943 0.031350804
Trend Acceleration (inverted) 0.079782 0.518250 0.481750 0.038434842
Factor Total: 0.639528407
Reconstructed Raw Score: 0.639528
Historical Raw Score: 0.639529

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 49%
Trend 49%
Liquidity 100%
Market Quality 76%
Risk Control 91%
Relative Strength 48%
Trend Acceleration 52%
Sector Rotation 47%
Sector Strength 44%
Supply Quality 100%
Mean Reversion Risk 31%
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 0.588 0.588 – 0.588 1.0000 3
Btc Relative Strength 0.582 0.500 – 0.647 1.0000 3
Depth 0.574 0.281 – 0.995 1.0000 3
Eth Relative Strength 0.574 0.492 – 0.639 1.0000 3
Extension 0.016 0.000 – 0.048 1.0000 3
Liquidity 1.000 1.000 – 1.000 1.0200 3
Macro Btc Dominance 0.685 0.685 – 0.685 1.0000 3
Macro Eth Dominance 0.244 0.244 – 0.244 1.0000 3
Macro Fear Greed 0.000 0.000 – 0.000 1.0000 3
Market Quality 0.831 0.760 – 0.903 0.9996 3
Mean Reversion Risk 0.298 0.274 – 0.314 1.0000 3
Momentum 0.726 0.490 – 0.937 1.0000 3
Momentum Exhaustion 0.431 0.386 – 0.470 1.0000 3
Pump Risk 0.200 0.200 – 0.200 1.0000 3
Rank 0.770 0.681 – 0.832 1.0000 3
Relative Strength 0.711 0.476 – 0.882 1.0000 3
Risk Control 0.814 0.752 – 0.907 0.9996 3
Sector Rotation 0.517 0.475 – 0.562 1.0000 3
Sector Strength 0.426 0.386 – 0.449 1.0000 3
Supply Quality 0.900 0.699 – 1.000 1.0200 3
Trend 0.678 0.494 – 0.796 1.0000 3
Trend Acceleration 0.834 0.518 – 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.