VADIE™ Research Archive

Historical Decision Report

Official autonomous portfolio evidence retained from the VisionX AI competition record.
Portfolio #254 Competition C225 Portfolio Engine v5.6.0 LIVE
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Research Identity

VDX Daily Top Picks #20261024

Strategy: cmc_v4_daily_long_short
Submitted: 2026-10-22 00:05:02
Scored: Not recorded
Final Rank
Not recorded
Rank reflects relative competition performance.
Final Score
Not recorded
Engine Status
LIVE
Payout
No payout recorded
Portfolio Environment

Decision Context

Market Regime
Neutral
Macro Regime
Neutral
Breadth
Neutral
Confidence
High
Expected Alpha
0.835
Optimizer
0.835
Portfolio Quality
0.934
Portfolio Risk
0.780
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
0.834373
Memory Adjustment
0.000667
Expected Alpha
0.835039
Correlation Score
0.319150
Correlation Penalty
0.000000
Final Optimizer Score
0.835039

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
2026-10-22 00:05:02
Historical Portfolio

Autonomous Decisions

Decision evidence exactly as retained when this portfolio was generated.
3 picks
LONG NEAR Decision #1
Sector: Layer1 · Pump risk: Low · Crash risk: Low
Decision Score
0.750
Decision Score Mathematics

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

LONG = clamp(raw - exhaustion - crash, 0, 1)
Raw LONG Score
0.762549
Exhaustion Penalty
0.012076
After Exhaustion
0.750473
Crash Guard Penalty
0.000000
Final Selection Score
0.750473
LONG Candidate Blocked
No
Confidence Calibration
Raw Confidence: 99
Confidence Cap: 94
Final Confidence Index: 94
Calibration Samples: 87

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 0.854830 0.854830 0.248076792
Trend 0.199454 0.780869 0.780869 0.151075244
Liquidity 0.142410 1.000000 1.000000 0.138138054
Market Quality 0.079750 0.853785 0.853785 0.066046511
Risk Control 0.079750 0.775101 0.775101 0.059959729
Rank 0.059836 0.873950 0.873950 0.050725106
Relative Strength 0.059836 0.639921 0.639921 0.037141782
Trend Acceleration 0.079782 0.000000 0.000000 0.000000000
Factor Total: 0.751163219
Macro Contribution: 0.011386110
Reconstructed Raw Score: 0.762549
Historical Raw Score: 0.762549

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
! Momentum appears extended
Momentum 85%
Trend 78%
Liquidity 100%
Market Quality 85%
Risk Control 78%
Relative Strength 64%
Trend Acceleration 0%
Sector Rotation 49%
Sector Strength 49%
Supply Quality 100%
Mean Reversion Risk 39%
Momentum Exhaustion 59%
LONG CRV Decision #2
Sector: Defi · Pump risk: Low · Crash risk: Low
Decision Score
0.729
Decision Score Mathematics

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

LONG = clamp(raw - exhaustion - crash, 0, 1)
Raw LONG Score
0.728628
Exhaustion Penalty
0.000000
After Exhaustion
0.728628
Crash Guard Penalty
0.000000
Final Selection Score
0.728628
LONG Candidate Blocked
No
Confidence Calibration
Raw Confidence: 98
Confidence Cap: 94
Final Confidence Index: 94
Calibration Samples: 87

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 0.684947 0.684947 0.198775727
Trend 0.199454 0.714916 0.714916 0.138315273
Liquidity 0.142410 1.000000 1.000000 0.138138054
Market Quality 0.079750 0.656900 0.656900 0.050816017
Risk Control 0.079750 0.739644 0.739644 0.057216870
Rank 0.059836 0.319328 0.319328 0.018534180
Relative Strength 0.059836 0.655693 0.655693 0.038057208
Trend Acceleration 0.079782 1.000000 1.000000 0.077388266
Factor Total: 0.717241596
Macro Contribution: 0.011386110
Reconstructed Raw Score: 0.728628
Historical Raw Score: 0.728628

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
✓ Controlled risk
✓ Positive sector tags
Negative Evidence
No negative factors recorded.
Momentum 68%
Trend 71%
Liquidity 100%
Market Quality 66%
Risk Control 74%
Relative Strength 66%
Trend Acceleration 100%
Sector Rotation 55%
Sector Strength 53%
Supply Quality 52%
Mean Reversion Risk 27%
Momentum Exhaustion 37%
SHORT POL Decision #3
Sector: Layer2 · 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
0.640114
Rebound Penalty
0.000000
After Rebound
0.640114
Final Selection Score
0.640114
Confidence Calibration
Raw Confidence: 99
Confidence Cap: 94
Final Confidence Index: 94
Calibration Samples: 87

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 0.465511 0.534489 0.159909188
Trend (inverted) 0.199454 0.478366 0.521634 0.104042141
Liquidity 0.142410 0.927753 0.927753 0.132121644
Market Quality 0.079750 0.671944 0.671944 0.053587403
Risk Control 0.079750 0.825411 0.825411 0.065826366
Rank 0.059836 0.462185 0.462185 0.027655435
Relative Strength (inverted) 0.059836 0.450714 0.549286 0.032867235
Trend Acceleration (inverted) 0.079782 0.196500 0.803500 0.064104610
Factor Total: 0.640114021
Reconstructed Raw Score: 0.640114
Historical Raw Score: 0.640114

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 47%
Trend 48%
Liquidity 93%
Market Quality 67%
Risk Control 83%
Relative Strength 45%
Trend Acceleration 20%
Sector Rotation 58%
Sector Strength 55%
Supply Quality 100%
Mean Reversion Risk 31%
Momentum Exhaustion 40%
Learning Audit

Factor Intelligence

Portfolio-level audit summary. Each observation represents one stored pick-factor result.
Factor Average Range Weight Records
Breadth 0.536 0.536 – 0.536 1.0000 3
Btc Relative Strength 0.578 0.451 – 0.733 1.0000 3
Depth 0.527 0.458 – 0.665 1.0000 3
Eth Relative Strength 0.591 0.464 – 0.746 1.0000 3
Extension 0.005 0.000 – 0.014 1.0000 3
Liquidity 0.976 0.928 – 1.000 1.0200 3
Macro Btc Dominance 0.727 0.727 – 0.727 1.0000 3
Macro Eth Dominance 0.210 0.210 – 0.210 1.0000 3
Macro Fear Greed 0.000 0.000 – 0.000 1.0000 3
Market Quality 0.728 0.657 – 0.854 0.9996 3
Mean Reversion Risk 0.324 0.270 – 0.390 1.0000 3
Momentum 0.668 0.466 – 0.855 1.0000 3
Momentum Exhaustion 0.456 0.370 – 0.592 1.0000 3
Pump Risk 0.200 0.200 – 0.200 1.0000 3
Rank 0.552 0.319 – 0.874 1.0000 3
Relative Strength 0.582 0.451 – 0.656 1.0000 3
Risk Control 0.780 0.740 – 0.825 0.9996 3
Sector Rotation 0.540 0.494 – 0.576 1.0000 3
Sector Strength 0.522 0.494 – 0.547 1.0000 3
Supply Quality 0.840 0.521 – 1.000 1.0200 3
Trend 0.658 0.478 – 0.781 1.0000 3
Trend Acceleration 0.399 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.