VADIEβ„’ Research Archive

Historical Decision Report

Official autonomous portfolio evidence retained from the VisionX AI competition record.
Portfolio #210 Competition C181 Portfolio Engine v5.6.0 SETTLED
Research Identity

VDX Weekly Top Picks #2026-W40

Strategy: cmc_v4_weekly_long_short
Submitted: 2026-09-14 00:05:03
Scored: 2026-10-05 00:20:01
Final Rank
#1
Rank reflects relative competition performance.
Final Score
-2.7328%
Engine Status
LIVE
Payout
No payout recorded
Portfolio Environment

Decision Context

Market Regime
Bull
Macro Regime
Neutral
Breadth
Neutral
Confidence
High
Expected Alpha
0.810
Optimizer
0.810
Portfolio Quality
0.931
Portfolio Risk
0.769
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
0.809671
Memory Adjustment
0.000000
Expected Alpha
0.809671
Correlation Score
0.360550
Correlation Penalty
0.000000
Final Optimizer Score
0.809671

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
2026-09-14 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 Β· Pump risk: Low Β· Crash risk: Low
Decision Score
0.706
Decision Score Mathematics

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

LONG = clamp(raw - exhaustion - crash, 0, 1)
Raw LONG Score
0.705613
Exhaustion Penalty
0.000000
After Exhaustion
0.705613
Crash Guard Penalty
0.000000
Final Selection Score
0.705613
LONG Candidate Blocked
No
Confidence Calibration
Raw Confidence: 98
Confidence Cap: 90
Final Confidence Index: 90
Calibration Samples: 45

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 0.196989 0.750407 0.750407 0.143387182
Trend 0.232165 0.654787 0.654787 0.147458364
Liquidity 0.156340 0.685989 0.685989 0.104030350
Market Quality 0.143638 0.822384 0.822384 0.114581608
Risk Control 0.114527 0.730864 0.730864 0.081192657
Rank 0.058628 0.823529 0.823529 0.046833118
Relative Strength 0.058628 0.662521 0.662521 0.037676784
Trend Acceleration 0.039085 0.508000 0.508000 0.019259572
Factor Total: 0.694419636
Macro Contribution: 0.011193150
Reconstructed Raw Score: 0.705613
Historical Raw Score: 0.705613

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“ High market quality
βœ“ Controlled risk
βœ“ Positive sector tags
Negative Evidence
No negative factors recorded.
Momentum 75%
Trend 65%
Liquidity 69%
Market Quality 82%
Risk Control 73%
Relative Strength 66%
Trend Acceleration 51%
Sector Rotation 53%
Sector Strength 42%
Supply Quality 70%
Mean Reversion Risk 31%
Momentum Exhaustion 44%
LONG XTZ Decision #2
Sector: Layer1 Β· Pump risk: Low Β· Crash risk: Low
Decision Score
0.697
Decision Score Mathematics

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

LONG = clamp(raw - exhaustion - crash, 0, 1)
Raw LONG Score
0.705672
Exhaustion Penalty
0.008471
After Exhaustion
0.697201
Crash Guard Penalty
0.000000
Final Selection Score
0.697201
LONG Candidate Blocked
No
Confidence Calibration
Raw Confidence: 97
Confidence Cap: 90
Final Confidence Index: 90
Calibration Samples: 45

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 0.196989 0.725854 0.725854 0.138695614
Trend 0.232165 0.717487 0.717487 0.161578436
Liquidity 0.156340 1.000000 1.000000 0.151650173
Market Quality 0.143638 0.599542 0.599542 0.083533345
Risk Control 0.114527 0.835797 0.835797 0.092849804
Rank 0.058628 0.117647 0.117647 0.006690445
Relative Strength 0.058628 0.761600 0.761600 0.043311289
Trend Acceleration 0.039085 0.426500 0.426500 0.016169700
Factor Total: 0.694478806
Macro Contribution: 0.011193150
Reconstructed Raw Score: 0.705672
Historical Raw Score: 0.705672

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 73%
Trend 72%
Liquidity 100%
Market Quality 60%
Risk Control 84%
Relative Strength 76%
Trend Acceleration 43%
Sector Rotation 53%
Sector Strength 43%
Supply Quality 98%
Mean Reversion Risk 39%
Momentum Exhaustion 52%
SHORT BONK Decision #3
Sector: Layer2 Β· Pump risk: Low Β· Crash risk: Low
Decision Score
0.605
Decision Score Mathematics

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

SHORT = clamp(raw - rebound, 0, 1)
Raw SHORT Score
0.604818
Rebound Penalty
0.000000
After Rebound
0.604818
Final Selection Score
0.604818
Confidence Calibration
Raw Confidence: 96
Confidence Cap: 90
Final Confidence Index: 90
Calibration Samples: 45

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) 0.196989 0.397394 0.602606 0.118706684
Trend (inverted) 0.232165 0.372202 0.627798 0.145753018
Liquidity 0.156340 0.855332 0.855332 0.133722934
Market Quality 0.143638 0.556506 0.556506 0.079935257
Risk Control 0.114527 0.738930 0.738930 0.084627546
Rank 0.058628 0.025210 0.025210 0.001478003
Relative Strength (inverted) 0.058628 0.421586 0.578414 0.033911050
Trend Acceleration (inverted) 0.039085 0.829000 0.171000 0.006683551
Factor Total: 0.604818043
Reconstructed Raw Score: 0.604818
Historical Raw Score: 0.604818

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
! Risk sector tags
Momentum 40%
Trend 37%
Liquidity 86%
Market Quality 56%
Risk Control 74%
Relative Strength 42%
Trend Acceleration 83%
Sector Rotation 96%
Sector Strength 100%
Supply Quality 99%
Mean Reversion Risk 26%
Momentum Exhaustion 27%
Learning Audit

Factor Intelligence

Portfolio-level audit summary. Each observation represents one stored pick-factor result.
Factor Average Range Weight Records
Breadth 0.443 0.443 – 0.443 1.0000 3
Btc Relative Strength 0.483 0.305 – 0.777 1.0000 3
Depth 0.630 0.335 – 0.995 1.0000 3
Eth Relative Strength 0.448 0.269 – 0.741 1.0000 3
Extension 0.007 0.000 – 0.022 1.0000 3
Liquidity 0.847 0.686 – 1.000 1.0000 3
Macro Btc Dominance 0.688 0.688 – 0.688 1.0000 3
Macro Eth Dominance 0.254 0.254 – 0.254 1.0000 3
Macro Fear Greed 0.000 0.000 – 0.000 1.0000 3
Market Quality 0.659 0.557 – 0.822 0.9800 3
Mean Reversion Risk 0.321 0.265 – 0.385 1.0000 3
Momentum 0.625 0.397 – 0.750 1.0000 3
Momentum Exhaustion 0.411 0.273 – 0.523 1.0000 3
Pump Risk 0.200 0.200 – 0.200 1.0000 3
Rank 0.322 0.025 – 0.824 1.0000 3
Relative Strength 0.615 0.422 – 0.762 1.0000 3
Risk Control 0.769 0.731 – 0.836 0.9800 3
Sector Rotation 0.673 0.530 – 0.956 1.0000 3
Sector Strength 0.614 0.415 – 1.000 1.0000 3
Supply Quality 0.891 0.699 – 0.990 1.0000 3
Trend 0.581 0.372 – 0.717 1.0000 3
Trend Acceleration 0.588 0.427 – 0.829 1.0000 3
Outcome Intelligence

Failure Attribution

Post-competition attribution retained by the learning engine.
UNI Β· LONG LOSS
Primary Cause: Mixed
Secondary Cause: No secondary cause identified
Position Return: -6.0547%
Attribution Confidence: 30%
XTZ Β· LONG WIN
Primary Cause: Winning Setup
Secondary Cause: No secondary cause identified
Position Return: +2.9637%
Attribution Confidence: 35%
BONK Β· SHORT LOSS
Primary Cause: Mixed
Secondary Cause: No secondary cause identified
Position Return: -5.1075%
Attribution Confidence: 30%
Research output only. This report displays historical metadata retained at portfolio generation and official competition outcome data. Missing information is not reconstructed retroactively.