VADIEβ„’ Research Archive

Historical Decision Report

Official autonomous portfolio evidence retained from the VisionX AI competition record.
Portfolio #161 Competition C132 Portfolio Engine v5.6.0 SETTLED
Research Identity

VDX Weekly Top Picks #2026-W34

Strategy: cmc_v4_weekly_long_short
Submitted: 2026-08-03 00:05:02
Scored: 2026-08-24 00:15:01
Final Rank
#1
Rank reflects relative competition performance.
Final Score
20.7919%
Engine Status
LIVE
Payout
No payout recorded
Portfolio Environment

Decision Context

Market Regime
Neutral
Macro Regime
Neutral
Breadth
Weak
Confidence
High
Expected Alpha
0.824
Optimizer
0.824
Portfolio Quality
0.939
Portfolio Risk
0.797
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
0.830897
Memory Adjustment
-0.006667
Expected Alpha
0.824231
Correlation Score
0.302458
Correlation Penalty
0.000000
Final Optimizer Score
0.824231

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
2026-08-03 00:05:02
Historical Portfolio

Autonomous Decisions

Decision evidence exactly as retained when this portfolio was generated.
3 picks
LONG ADA Decision #1
Sector: Layer1 Β· Pump risk: Low Β· Crash risk: Low
Decision Score
0.723
Decision Score Mathematics

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

LONG = clamp(raw - exhaustion - crash, 0, 1)
Raw LONG Score
0.723335
Exhaustion Penalty
0.000000
After Exhaustion
0.723335
Crash Guard Penalty
0.000000
Final Selection Score
0.723335
LONG Candidate Blocked
No
Confidence Calibration
Raw Confidence: 99
Confidence Cap: 85
Final Confidence Index: 85
Calibration Samples: 0

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 0.585707 0.585707 0.102840348
Trend 0.221239 0.573508 0.573508 0.123075832
Liquidity 0.160901 0.993376 0.993376 0.155040180
Market Quality 0.147828 0.939789 0.939789 0.134759165
Risk Control 0.128117 0.803720 0.803720 0.099881446
Rank 0.060338 0.899160 0.899160 0.052625817
Relative Strength 0.060338 0.641114 0.641114 0.037522963
Trend Acceleration 0.040225 0.180250 0.180250 0.007033085
Factor Total: 0.712778837
Macro Contribution: 0.010556070
Reconstructed Raw Score: 0.723335
Historical Raw Score: 0.723335

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“ High market quality
βœ“ Controlled risk
βœ“ Positive sector tags
Negative Evidence
No negative factors recorded.
Momentum 59%
Trend 57%
Liquidity 99%
Market Quality 94%
Risk Control 80%
Relative Strength 64%
Trend Acceleration 18%
Sector Rotation 31%
Sector Strength 32%
Supply Quality 81%
Mean Reversion Risk 34%
Momentum Exhaustion 43%
LONG UNI Decision #2
Sector: Defi Β· Pump risk: Low Β· Crash risk: Low
Decision Score
0.679
Decision Score Mathematics

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

LONG = clamp(raw - exhaustion - crash, 0, 1)
Raw LONG Score
0.688899
Exhaustion Penalty
0.010049
After Exhaustion
0.678850
Crash Guard Penalty
0.000000
Final Selection Score
0.678850
LONG Candidate Blocked
No
Confidence Calibration
Raw Confidence: 99
Confidence Cap: 85
Final Confidence Index: 85
Calibration Samples: 0

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 0.662999 0.662999 0.116411530
Trend 0.221239 0.671630 0.671630 0.144132987
Liquidity 0.160901 0.758951 0.758951 0.118452529
Market Quality 0.147828 0.817692 0.817692 0.117251310
Risk Control 0.128117 0.806310 0.806310 0.100203316
Rank 0.060338 0.756303 0.756303 0.044264717
Relative Strength 0.060338 0.642886 0.642886 0.037626675
Trend Acceleration 0.040225 0.000000 0.000000 0.000000000
Factor Total: 0.678343063
Macro Contribution: 0.010556070
Reconstructed Raw Score: 0.688899
Historical Raw Score: 0.688899

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“ High market quality
βœ“ Controlled risk
βœ“ Positive sector tags
Negative Evidence
No negative factors recorded.
Momentum 66%
Trend 67%
Liquidity 76%
Market Quality 82%
Risk Control 81%
Relative Strength 64%
Trend Acceleration 0%
Sector Rotation 60%
Sector Strength 49%
Supply Quality 70%
Mean Reversion Risk 39%
Momentum Exhaustion 48%
SHORT DEXE Decision #3
Sector: Defi Β· Pump risk: Low Β· Crash risk: Medium
Decision Score
0.797
Decision Score Mathematics

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

SHORT = clamp(raw - rebound, 0, 1)
Raw SHORT Score
0.797490
Rebound Penalty
0.000000
After Rebound
0.797490
Final Selection Score
0.797490
Confidence Calibration
Raw Confidence: 99
Confidence Cap: 85
Final Confidence Index: 85
Calibration Samples: 0

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 0.043301 0.956699 0.173175603
Trend (inverted) 0.221239 0.138413 0.861587 0.190616593
Liquidity 0.160901 1.000000 1.000000 0.160901046
Market Quality 0.147828 0.507483 0.507483 0.075020114
Risk Control 0.128117 0.780962 0.780962 0.100054866
Rank 0.060338 0.000000 0.000000 0.000000000
Relative Strength (inverted) 0.060338 0.047093 0.952907 0.057496400
Trend Acceleration (inverted) 0.040225 0.000000 1.000000 0.040225261
Factor Total: 0.797489883
Reconstructed Raw Score: 0.797490
Historical Raw Score: 0.797490

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
! Elevated downside risk
! Weak momentum
! Weak trend
Momentum 4%
Trend 14%
Liquidity 100%
Market Quality 51%
Risk Control 78%
Relative Strength 5%
Trend Acceleration 0%
Sector Rotation 60%
Sector Strength 49%
Supply Quality 87%
Mean Reversion Risk 35%
Momentum Exhaustion 26%
Learning Audit

Factor Intelligence

Portfolio-level audit summary. Each observation represents one stored pick-factor result.
Factor Average Range Weight Records
Breadth 0.000 0.000 – 0.000 1.0000 3
Btc Relative Strength 0.476 0.083 – 0.713 1.0000 3
Depth 0.706 0.137 – 1.000 1.0000 3
Eth Relative Strength 0.487 0.094 – 0.724 1.0000 3
Extension 0.000 0.000 – 0.000 1.0000 3
Liquidity 0.917 0.759 – 1.000 1.0000 3
Macro Btc Dominance 0.675 0.675 – 0.675 1.0000 3
Macro Eth Dominance 0.192 0.192 – 0.192 1.0000 3
Macro Fear Greed 0.000 0.000 – 0.000 1.0000 3
Market Quality 0.755 0.507 – 0.940 0.9800 3
Mean Reversion Risk 0.362 0.343 – 0.392 1.0000 3
Momentum 0.431 0.043 – 0.663 1.0000 3
Momentum Exhaustion 0.388 0.259 – 0.479 1.0000 3
Pump Risk 0.200 0.200 – 0.200 1.0000 3
Rank 0.552 0.000 – 0.899 1.0000 3
Relative Strength 0.444 0.047 – 0.643 1.0000 3
Risk Control 0.797 0.781 – 0.806 0.9800 3
Sector Rotation 0.499 0.306 – 0.595 1.0000 3
Sector Strength 0.436 0.322 – 0.492 1.0000 3
Supply Quality 0.793 0.700 – 0.868 1.0000 3
Trend 0.461 0.138 – 0.672 1.0000 3
Trend Acceleration 0.060 0.000 – 0.180 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.