VADIEβ„’ Research Archive

Historical Decision Report

Official autonomous portfolio evidence retained from the VisionX AI competition record.
Portfolio #236 Competition C207 Portfolio Engine v5.6.0 SETTLED
Research Identity

VDX Daily Top Picks #20261008

Strategy: cmc_v4_daily_long_short
Submitted: 2026-10-06 00:05:01
Scored: 2026-10-09 00:10:01
Final Rank
#1
Rank reflects relative competition performance.
Final Score
-7.1281%
Engine Status
LIVE
Payout
No payout recorded
Portfolio Environment

Decision Context

Market Regime
Bull
Macro Regime
Neutral
Breadth
Neutral
Confidence
High
Expected Alpha
0.835
Optimizer
0.835
Portfolio Quality
0.922
Portfolio Risk
0.741
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
0.838313
Memory Adjustment
-0.003333
Expected Alpha
0.834980
Correlation Score
0.206375
Correlation Penalty
0.000000
Final Optimizer Score
0.834980

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
2026-10-06 00:05:01
Historical Portfolio

Autonomous Decisions

Decision evidence exactly as retained when this portfolio was generated.
3 picks
LONG AAVE Decision #1
Sector: Defi Β· Pump risk: Low Β· Crash risk: Low
Decision Score
0.779
Decision Score Mathematics

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

LONG = clamp(raw - exhaustion - crash, 0, 1)
Raw LONG Score
0.779358
Exhaustion Penalty
0.000000
After Exhaustion
0.779358
Crash Guard Penalty
0.000000
Final Selection Score
0.779358
LONG Candidate Blocked
No
Confidence Calibration
Raw Confidence: 99
Confidence Cap: 94
Final Confidence Index: 94
Calibration Samples: 70

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 0.320507 0.825917 0.825917 0.256770932
Trend 0.206040 0.816454 0.816454 0.163175761
Liquidity 0.136216 1.000000 1.000000 0.132129071
Market Quality 0.076281 0.883963 0.883963 0.065406438
Risk Control 0.070178 0.832156 0.832156 0.056647270
Rank 0.057233 0.689076 0.689076 0.038255030
Relative Strength 0.057233 0.739800 0.739800 0.041071045
Trend Acceleration 0.076311 0.199500 0.199500 0.014767367
Factor Total: 0.768222913
Macro Contribution: 0.011135010
Reconstructed Raw Score: 0.779358
Historical Raw Score: 0.779358

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“ High market quality
βœ“ Controlled risk
Negative Evidence
No negative factors recorded.
Momentum 83%
Trend 82%
Liquidity 100%
Market Quality 88%
Risk Control 83%
Relative Strength 74%
Trend Acceleration 20%
Sector Rotation 68%
Sector Strength 62%
Supply Quality 96%
Mean Reversion Risk 30%
Momentum Exhaustion 52%
LONG NEAR Decision #2
Sector: Layer1 Β· Pump risk: Medium Β· Crash risk: Low
Decision Score
0.759
Decision Score Mathematics

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

LONG = clamp(raw - exhaustion - crash, 0, 1)
Raw LONG Score
0.801707
Exhaustion Penalty
0.042248
After Exhaustion
0.759459
Crash Guard Penalty
0.000000
Final Selection Score
0.759459
LONG Candidate Blocked
No
Confidence Calibration
Raw Confidence: 98
Confidence Cap: 94
Final Confidence Index: 94
Calibration Samples: 70

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 0.320507 1.000000 1.000000 0.310891932
Trend 0.206040 0.759694 0.759694 0.151831758
Liquidity 0.136216 1.000000 1.000000 0.132129071
Market Quality 0.076281 0.849931 0.849931 0.062888332
Risk Control 0.070178 0.481620 0.481620 0.032785269
Rank 0.057233 0.865546 0.865546 0.048052012
Relative Strength 0.057233 0.936543 0.936543 0.051993511
Trend Acceleration 0.076311 0.000000 0.000000 0.000000000
Factor Total: 0.790571885
Macro Contribution: 0.011135010
Reconstructed Raw Score: 0.801707
Historical Raw Score: 0.801707

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“ High market quality
βœ“ Positive sector tags
Negative Evidence
! High momentum exhaustion
Momentum 100%
Trend 76%
Liquidity 100%
Market Quality 85%
Risk Control 48%
Relative Strength 94%
Trend Acceleration 0%
Sector Rotation 64%
Sector Strength 56%
Supply Quality 100%
Mean Reversion Risk 49%
Momentum Exhaustion 72%
SHORT PAXG Decision #3
Sector: Rwa Β· Pump risk: Low Β· Crash risk: Low
Decision Score
0.582
Decision Score Mathematics

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

SHORT = clamp(raw - rebound, 0, 1)
Raw SHORT Score
0.581695
Rebound Penalty
0.000000
After Rebound
0.581695
Final Selection Score
0.581695
Confidence Calibration
Raw Confidence: 98
Confidence Cap: 94
Final Confidence Index: 94
Calibration Samples: 70

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) 0.320507 0.484599 0.515401 0.165189704
Trend (inverted) 0.206040 0.487268 0.512732 0.105643459
Liquidity 0.136216 0.660203 0.660203 0.089929906
Market Quality 0.076281 0.648455 0.648455 0.049464602
Risk Control 0.070178 0.909329 0.909329 0.063815113
Rank 0.057233 0.588235 0.588235 0.033666700
Relative Strength (inverted) 0.057233 0.481636 0.518364 0.029667744
Trend Acceleration (inverted) 0.076311 0.419250 0.580750 0.044317744
Factor Total: 0.581694972
Reconstructed Raw Score: 0.581695
Historical Raw Score: 0.581695

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

Positive Evidence
βœ“ Controlled risk
βœ“ Positive sector tags
Negative Evidence
No negative factors recorded.
Momentum 48%
Trend 49%
Liquidity 66%
Market Quality 65%
Risk Control 91%
Relative Strength 48%
Trend Acceleration 42%
Sector Rotation 51%
Sector Strength 48%
Supply Quality 100%
Mean Reversion Risk 34%
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 0.636 0.636 – 0.636 1.0000 3
Btc Relative Strength 0.591 0.469 – 0.761 1.0000 3
Depth 0.550 0.285 – 0.913 1.0000 3
Eth Relative Strength 0.614 0.492 – 0.784 1.0000 3
Extension 0.042 0.000 – 0.126 1.0000 3
Liquidity 0.887 0.660 – 1.000 1.0200 3
Macro Btc Dominance 0.690 0.690 – 0.690 1.0000 3
Macro Eth Dominance 0.242 0.242 – 0.242 1.0000 3
Macro Fear Greed 0.000 0.000 – 0.000 1.0000 3
Market Quality 0.794 0.648 – 0.884 0.9996 3
Mean Reversion Risk 0.377 0.299 – 0.491 1.0000 3
Momentum 0.770 0.485 – 1.000 1.0000 3
Momentum Exhaustion 0.549 0.400 – 0.724 1.0000 3
Pump Risk 0.300 0.200 – 0.500 1.0000 3
Rank 0.714 0.588 – 0.866 1.0000 3
Relative Strength 0.719 0.482 – 0.937 1.0000 3
Risk Control 0.741 0.482 – 0.909 0.9996 3
Sector Rotation 0.608 0.511 – 0.677 1.0000 3
Sector Strength 0.553 0.479 – 0.622 1.0000 3
Supply Quality 0.988 0.965 – 1.000 1.0200 3
Trend 0.688 0.487 – 0.816 1.0000 3
Trend Acceleration 0.206 0.000 – 0.419 1.0000 3
Outcome Intelligence

Failure Attribution

Post-competition attribution retained by the learning engine.
AAVE Β· LONG LOSS
Primary Cause: Mixed
Secondary Cause: No secondary cause identified
Position Return: -4.1624%
Attribution Confidence: 30%
NEAR Β· LONG LOSS
Primary Cause: Pump Guard
Secondary Cause: No secondary cause identified
Position Return: -16.6301%
Attribution Confidence: 70%
PAXG Β· SHORT LOSS
Primary Cause: Mixed
Secondary Cause: No secondary cause identified
Position Return: -0.5918%
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.