VADIEβ„’ Research Archive

Historical Decision Report

Official autonomous portfolio evidence retained from the VisionX AI competition record.
Portfolio #250 Competition C221 Portfolio Engine v5.6.0 SETTLED
Research Identity

VDX Daily Top Picks #20261021

Strategy: cmc_v4_daily_long_short
Submitted: 2026-10-19 00:05:02
Scored: 2026-10-22 00:10:01
Final Rank
#1
Rank reflects relative competition performance.
Final Score
-2.3599%
Engine Status
LIVE
Payout
No payout recorded
Portfolio Environment

Decision Context

Market Regime
Neutral
Macro Regime
Neutral
Breadth
Weak
Confidence
High
Expected Alpha
0.832
Optimizer
0.832
Portfolio Quality
0.943
Portfolio Risk
0.809
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
0.831686
Memory Adjustment
0.000667
Expected Alpha
0.832353
Correlation Score
0.287200
Correlation Penalty
0.000000
Final Optimizer Score
0.832353

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
2026-10-19 00:05:02
Historical Portfolio

Autonomous Decisions

Decision evidence exactly as retained when this portfolio was generated.
3 picks
LONG BAT Decision #1
Sector: Defi Β· Pump risk: Medium Β· Crash risk: Low
Decision Score
0.787
Decision Score Mathematics

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

LONG = clamp(raw - exhaustion - crash, 0, 1)
Raw LONG Score
0.814108
Exhaustion Penalty
0.026677
After Exhaustion
0.787431
Crash Guard Penalty
0.000000
Final Selection Score
0.787431
LONG Candidate Blocked
No
Confidence Calibration
Raw Confidence: 99
Confidence Cap: 94
Final Confidence Index: 94
Calibration Samples: 83

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 1.000000 1.000000 0.290205996
Trend 0.199454 0.768802 0.768802 0.148740634
Liquidity 0.142410 0.938833 0.938833 0.129688564
Market Quality 0.079750 0.578207 0.578207 0.044728538
Risk Control 0.079750 0.725270 0.725270 0.056104937
Rank 0.059836 0.050420 0.050420 0.002926437
Relative Strength 0.059836 0.912900 0.912900 0.052985811
Trend Acceleration 0.079782 1.000000 1.000000 0.077388266
Factor Total: 0.802769183
Macro Contribution: 0.011338560
Reconstructed Raw Score: 0.814108
Historical Raw Score: 0.814108

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
! Momentum appears extended
Momentum 100%
Trend 77%
Liquidity 94%
Market Quality 58%
Risk Control 73%
Relative Strength 91%
Trend Acceleration 100%
Sector Rotation 38%
Sector Strength 28%
Supply Quality 100%
Mean Reversion Risk 44%
Momentum Exhaustion 57%
LONG AAVE Decision #2
Sector: Defi Β· Pump risk: Low Β· Crash risk: Low
Decision Score
0.664
Decision Score Mathematics

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

LONG = clamp(raw - exhaustion - crash, 0, 1)
Raw LONG Score
0.664499
Exhaustion Penalty
0.000000
After Exhaustion
0.664499
Crash Guard Penalty
0.000000
Final Selection Score
0.664499
LONG Candidate Blocked
No
Confidence Calibration
Raw Confidence: 95
Confidence Cap: 94
Final Confidence Index: 94
Calibration Samples: 83

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 0.570777 0.570777 0.165642908
Trend 0.199454 0.611264 0.611264 0.118261652
Liquidity 0.142410 0.762322 0.762322 0.105305678
Market Quality 0.079750 0.825219 0.825219 0.063836722
Risk Control 0.079750 0.891646 0.891646 0.068975336
Rank 0.059836 0.689076 0.689076 0.039994797
Relative Strength 0.059836 0.469314 0.469314 0.027239547
Trend Acceleration 0.079782 0.825750 0.825750 0.063903360
Factor Total: 0.653160002
Macro Contribution: 0.011338560
Reconstructed Raw Score: 0.664499
Historical Raw Score: 0.664499

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 57%
Trend 61%
Liquidity 76%
Market Quality 83%
Risk Control 89%
Relative Strength 47%
Trend Acceleration 83%
Sector Rotation 38%
Sector Strength 28%
Supply Quality 96%
Mean Reversion Risk 27%
Momentum Exhaustion 30%
SHORT POL Decision #3
Sector: Layer2 Β· Pump risk: Low Β· Crash risk: Low
Decision Score
0.587
Decision Score Mathematics

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

SHORT = clamp(raw - rebound, 0, 1)
Raw SHORT Score
0.586850
Rebound Penalty
0.000000
After Rebound
0.586850
Final Selection Score
0.586850
Confidence Calibration
Raw Confidence: 99
Confidence Cap: 94
Final Confidence Index: 94
Calibration Samples: 83

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 0.439070 0.560930 0.167819845
Trend (inverted) 0.199454 0.456389 0.543611 0.108425548
Liquidity 0.142410 0.826449 0.826449 0.117694904
Market Quality 0.079750 0.648974 0.648974 0.051755550
Risk Control 0.079750 0.809961 0.809961 0.064594231
Rank 0.059836 0.470588 0.470588 0.028158239
Relative Strength (inverted) 0.059836 0.390757 0.609243 0.036454840
Trend Acceleration (inverted) 0.079782 0.850250 0.149750 0.011947312
Factor Total: 0.586850468
Reconstructed Raw Score: 0.586850
Historical Raw Score: 0.586850

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 44%
Trend 46%
Liquidity 83%
Market Quality 65%
Risk Control 81%
Relative Strength 39%
Trend Acceleration 85%
Sector Rotation 38%
Sector Strength 29%
Supply Quality 100%
Mean Reversion Risk 30%
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 0.309 0.309 – 0.309 1.0000 3
Btc Relative Strength 0.477 0.377 – 0.672 1.0000 3
Depth 0.590 0.394 – 0.916 1.0000 3
Eth Relative Strength 0.515 0.415 – 0.710 1.0000 3
Extension 0.033 0.000 – 0.100 1.0000 3
Liquidity 0.843 0.762 – 0.939 1.0200 3
Macro Btc Dominance 0.724 0.724 – 0.724 1.0000 3
Macro Eth Dominance 0.209 0.209 – 0.209 1.0000 3
Macro Fear Greed 0.000 0.000 – 0.000 1.0000 3
Market Quality 0.684 0.578 – 0.825 0.9996 3
Mean Reversion Risk 0.338 0.271 – 0.439 1.0000 3
Momentum 0.670 0.439 – 1.000 1.0000 3
Momentum Exhaustion 0.385 0.286 – 0.568 1.0000 3
Pump Risk 0.300 0.200 – 0.500 1.0000 3
Rank 0.403 0.050 – 0.689 1.0000 3
Relative Strength 0.591 0.391 – 0.913 1.0000 3
Risk Control 0.809 0.725 – 0.892 0.9996 3
Sector Rotation 0.382 0.379 – 0.384 1.0000 3
Sector Strength 0.286 0.283 – 0.292 1.0000 3
Supply Quality 0.987 0.965 – 1.000 1.0200 3
Trend 0.612 0.456 – 0.769 1.0000 3
Trend Acceleration 0.892 0.826 – 1.000 1.0000 3
Outcome Intelligence

Failure Attribution

Post-competition attribution retained by the learning engine.
BAT Β· LONG LOSS
Primary Cause: Pump Guard
Secondary Cause: No secondary cause identified
Position Return: -7.3146%
Attribution Confidence: 70%
AAVE Β· LONG WIN
Primary Cause: Winning Setup
Secondary Cause: No secondary cause identified
Position Return: +0.1438%
Attribution Confidence: 35%
POL Β· SHORT WIN
Primary Cause: Winning Setup
Secondary Cause: No secondary cause identified
Position Return: +0.0910%
Attribution Confidence: 35%
Research output only. This report displays historical metadata retained at portfolio generation and official competition outcome data. Missing information is not reconstructed retroactively.