VADIEβ„’ Research Archive

Historical Decision Report

Official autonomous portfolio evidence retained from the VisionX AI competition record.
Portfolio #177 Competition C148 Portfolio Engine v5.6.0 SETTLED
Research Identity

VDX Weekly Top Picks #2026-W36

Strategy: cmc_v4_weekly_long_short
Submitted: 2026-08-17 00:05:03
Scored: 2026-09-07 00:15:01
Final Rank
#1
Rank reflects relative competition performance.
Final Score
1.0921%
Engine Status
LIVE
Payout
No payout recorded
Portfolio Environment

Decision Context

Market Regime
Neutral
Macro Regime
Neutral
Breadth
Weak
Confidence
High
Expected Alpha
0.780
Optimizer
0.780
Portfolio Quality
0.920
Portfolio Risk
0.734
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
0.779147
Memory Adjustment
0.000667
Expected Alpha
0.779814
Correlation Score
0.546200
Correlation Penalty
0.000000
Final Optimizer Score
0.779814

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 Intelligenceβ„’
Engine Version
v5.6.0
Engine Build
2026.07.25
Engine Mode
Long/Short Expected Alpha
Generated
2026-08-17 00:05:02
Historical Portfolio

Autonomous Decisions

Decision evidence exactly as retained when this portfolio was generated.
3 picks
LONG WLD Decision #1
Sector: Defi Β· Pump risk: Low Β· Crash risk: Low
Decision Score
0.668
Decision Score Mathematics

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

LONG = clamp(raw - exhaustion - crash, 0, 1)
Raw LONG Score
0.667642
Exhaustion Penalty
0.000000
After Exhaustion
0.667642
Crash Guard Penalty
0.000000
Final Selection Score
0.667642
LONG Candidate Blocked
No
Confidence Calibration
Raw Confidence: 99
Confidence Cap: 85
Final Confidence Index: 85
Calibration Samples: 19

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 0.181014 0.531091 0.531091 0.093250692
Trend 0.221239 0.537397 0.537397 0.115326347
Liquidity 0.160901 1.000000 1.000000 0.156074014
Market Quality 0.147828 0.663055 0.663055 0.095077446
Risk Control 0.128117 0.718685 0.718685 0.089313812
Rank 0.060338 0.621849 0.621849 0.036395426
Relative Strength 0.060338 0.557807 0.557807 0.032647192
Trend Acceleration 0.040225 1.000000 1.000000 0.039018504
Factor Total: 0.657103434
Macro Contribution: 0.010538610
Reconstructed Raw Score: 0.667642
Historical Raw Score: 0.667642

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

Positive Evidence
βœ“ High liquidity
βœ“ Controlled risk
βœ“ Positive sector tags
Negative Evidence
No negative factors recorded.
Momentum 53%
Trend 54%
Liquidity 100%
Market Quality 66%
Risk Control 72%
Relative Strength 56%
Trend Acceleration 100%
Sector Rotation 51%
Sector Strength 53%
Supply Quality 36%
Mean Reversion Risk 32%
Momentum Exhaustion 33%
LONG ETHFI Decision #2
Sector: Defi Β· Pump risk: Low Β· Crash risk: Low
Decision Score
0.666
Decision Score Mathematics

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

LONG = clamp(raw - exhaustion - crash, 0, 1)
Raw LONG Score
0.686456
Exhaustion Penalty
0.020233
After Exhaustion
0.666223
Crash Guard Penalty
0.000000
Final Selection Score
0.666223
LONG Candidate Blocked
No
Confidence Calibration
Raw Confidence: 99
Confidence Cap: 85
Final Confidence Index: 85
Calibration Samples: 19

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 0.181014 0.714321 0.714321 0.125422814
Trend 0.221239 0.722347 0.722347 0.155016945
Liquidity 0.160901 0.925310 0.925310 0.144416846
Market Quality 0.147828 0.589517 0.589517 0.084532612
Risk Control 0.128117 0.731533 0.731533 0.090910484
Rank 0.060338 0.386555 0.386555 0.022624197
Relative Strength 0.060338 0.731607 0.731607 0.042819316
Trend Acceleration 0.040225 0.260750 0.260750 0.010174075
Factor Total: 0.675917288
Macro Contribution: 0.010538610
Reconstructed Raw Score: 0.686456
Historical Raw Score: 0.686456

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

Positive Evidence
βœ“ Strong momentum
βœ“ Strong trend
βœ“ High liquidity
βœ“ Controlled risk
βœ“ Positive sector tags
Negative Evidence
No negative factors recorded.
Momentum 71%
Trend 72%
Liquidity 93%
Market Quality 59%
Risk Control 73%
Relative Strength 73%
Trend Acceleration 26%
Sector Rotation 51%
Sector Strength 53%
Supply Quality 97%
Mean Reversion Risk 43%
Momentum Exhaustion 55%
SHORT BONK Decision #3
Sector: Layer2 Β· Pump risk: Low Β· Crash risk: Low
Decision Score
0.656
Decision Score Mathematics

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

SHORT = clamp(raw - rebound, 0, 1)
Raw SHORT Score
0.655903
Rebound Penalty
0.000000
After Rebound
0.655903
Final Selection Score
0.655903
Confidence Calibration
Raw Confidence: 97
Confidence Cap: 85
Final Confidence Index: 85
Calibration Samples: 19

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) 0.181014 0.346637 0.653363 0.118267639
Trend (inverted) 0.221239 0.322899 0.677101 0.149801106
Liquidity 0.160901 0.940273 0.940273 0.151290909
Market Quality 0.147828 0.579649 0.579649 0.085688257
Risk Control 0.128117 0.751331 0.751331 0.096258618
Rank 0.060338 0.042017 0.042017 0.002535217
Relative Strength (inverted) 0.060338 0.398500 0.601500 0.036293242
Trend Acceleration (inverted) 0.040225 0.608000 0.392000 0.015768302
Factor Total: 0.655903291
Reconstructed Raw Score: 0.655903
Historical Raw Score: 0.655903

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

Positive Evidence
βœ“ High liquidity
βœ“ Controlled risk
βœ“ Positive sector tags
Negative Evidence
! Weak momentum
! Weak trend
! Risk sector tags
Momentum 35%
Trend 32%
Liquidity 94%
Market Quality 58%
Risk Control 75%
Relative Strength 40%
Trend Acceleration 61%
Sector Rotation 44%
Sector Strength 45%
Supply Quality 99%
Mean Reversion Risk 28%
Momentum Exhaustion 29%
Learning Audit

Factor Intelligence

Portfolio-level audit summary. Each observation represents one stored pick-factor result.
Factor Average Range Weight Records
Breadth 0.306 0.306 – 0.306 1.0000 3
Btc Relative Strength 0.704 0.474 – 0.930 1.0000 3
Depth 0.391 0.238 – 0.554 1.0000 3
Eth Relative Strength 0.690 0.459 – 0.916 1.0000 3
Extension 0.000 0.000 – 0.000 1.0000 3
Liquidity 0.955 0.925 – 1.000 1.0000 3
Macro Btc Dominance 0.673 0.673 – 0.673 1.0000 3
Macro Eth Dominance 0.194 0.194 – 0.194 1.0000 3
Macro Fear Greed 0.000 0.000 – 0.000 1.0000 3
Market Quality 0.611 0.580 – 0.663 0.9800 3
Mean Reversion Risk 0.345 0.284 – 0.434 1.0000 3
Momentum 0.531 0.347 – 0.714 1.0000 3
Momentum Exhaustion 0.389 0.287 – 0.548 1.0000 3
Pump Risk 0.200 0.200 – 0.200 1.0000 3
Rank 0.350 0.042 – 0.622 1.0000 3
Relative Strength 0.563 0.399 – 0.732 1.0000 3
Risk Control 0.734 0.719 – 0.751 0.9800 3
Sector Rotation 0.484 0.436 – 0.508 1.0000 3
Sector Strength 0.502 0.455 – 0.526 1.0000 3
Supply Quality 0.775 0.360 – 0.990 1.0000 3
Trend 0.528 0.323 – 0.722 1.0000 3
Trend Acceleration 0.623 0.261 – 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.