VADIEβ„’ Research Archive

Historical Decision Report

Official autonomous portfolio evidence retained from the VisionX AI competition record.
Portfolio #209 Competition C180 Portfolio Engine v5.6.0 SETTLED
Research Identity

VDX Daily Top Picks #20260916

Strategy: cmc_v4_daily_long_short
Submitted: 2026-09-14 00:05:02
Scored: 2026-09-17 00:10:01
Final Rank
#1
Rank reflects relative competition performance.
Final Score
0.6632%
Engine Status
LIVE
Payout
No payout recorded
Portfolio Environment

Decision Context

Market Regime
Bull
Macro Regime
Neutral
Breadth
Neutral
Confidence
High
Expected Alpha
0.799
Optimizer
0.799
Portfolio Quality
0.937
Portfolio Risk
0.789
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
0.805774
Memory Adjustment
-0.006667
Expected Alpha
0.799108
Correlation Score
0.384750
Correlation Penalty
0.000000
Final Optimizer Score
0.799108

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
0.697
Decision Score Mathematics

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

LONG = clamp(raw - exhaustion - crash, 0, 1)
Raw LONG Score
0.696698
Exhaustion Penalty
0.000000
After Exhaustion
0.696698
Crash Guard Penalty
0.000000
Final Selection Score
0.696698
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 0.320507 0.750407 0.750407 0.233295482
Trend 0.206040 0.654787 0.654787 0.130865140
Liquidity 0.136216 0.685989 0.685989 0.090639089
Market Quality 0.076281 0.822384 0.822384 0.060850067
Risk Control 0.070178 0.730864 0.730864 0.049752030
Rank 0.057233 0.823529 0.823529 0.045719379
Relative Strength 0.057233 0.662521 0.662521 0.036780792
Trend Acceleration 0.076311 0.508000 0.508000 0.037603119
Factor Total: 0.685505098
Macro Contribution: 0.011193150
Reconstructed Raw Score: 0.696698
Historical Raw Score: 0.696698

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 INJ Decision #2
Sector: Layer1 Β· Pump risk: Low Β· Crash risk: Low
Decision Score
0.689
Decision Score Mathematics

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

LONG = clamp(raw - exhaustion - crash, 0, 1)
Raw LONG Score
0.688709
Exhaustion Penalty
0.000000
After Exhaustion
0.688709
Crash Guard Penalty
0.000000
Final Selection Score
0.688709
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 0.320507 0.636701 0.636701 0.197945204
Trend 0.206040 0.622514 0.622514 0.124415087
Liquidity 0.136216 1.000000 1.000000 0.132129071
Market Quality 0.076281 0.687826 0.687826 0.050893814
Risk Control 0.070178 0.896749 0.896749 0.061044303
Rank 0.057233 0.361345 0.361345 0.020060579
Relative Strength 0.057233 0.660314 0.660314 0.036658267
Trend Acceleration 0.076311 0.734500 0.734500 0.054369077
Factor Total: 0.677515402
Macro Contribution: 0.011193150
Reconstructed Raw Score: 0.688709
Historical Raw Score: 0.688709

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 64%
Trend 62%
Liquidity 100%
Market Quality 69%
Risk Control 90%
Relative Strength 66%
Trend Acceleration 73%
Sector Rotation 53%
Sector Strength 43%
Supply Quality 100%
Mean Reversion Risk 33%
Momentum Exhaustion 42%
SHORT BONK Decision #3
Sector: Layer2 Β· Pump risk: Low Β· Crash risk: Low
Decision Score
0.581
Decision Score Mathematics

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

SHORT = clamp(raw - rebound, 0, 1)
Raw SHORT Score
0.580905
Rebound Penalty
0.000000
After Rebound
0.580905
Final Selection Score
0.580905
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 (inverted) 0.320507 0.397394 0.602606 0.193139529
Trend (inverted) 0.206040 0.372202 0.627798 0.129351693
Liquidity 0.136216 0.855332 0.855332 0.116509508
Market Quality 0.076281 0.556506 0.556506 0.042450668
Risk Control 0.070178 0.738930 0.738930 0.051856810
Rank 0.057233 0.025210 0.025210 0.001442854
Relative Strength (inverted) 0.057233 0.421586 0.578414 0.033104611
Trend Acceleration (inverted) 0.076311 0.829000 0.171000 0.013049220
Factor Total: 0.580904893
Reconstructed Raw Score: 0.580905
Historical Raw Score: 0.580905

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 0.457 0.305 – 0.698 1.0000 3
Depth 0.651 0.397 – 0.995 1.0000 3
Eth Relative Strength 0.422 0.269 – 0.663 1.0000 3
Extension 0.007 0.000 – 0.022 1.0000 3
Liquidity 0.847 0.686 – 1.000 1.0200 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 0.689 0.557 – 0.822 0.9996 3
Mean Reversion Risk 0.304 0.265 – 0.334 1.0000 3
Momentum 0.595 0.397 – 0.750 1.0000 3
Momentum Exhaustion 0.378 0.273 – 0.437 1.0000 3
Pump Risk 0.200 0.200 – 0.200 1.0000 3
Rank 0.403 0.025 – 0.824 1.0000 3
Relative Strength 0.581 0.422 – 0.663 1.0000 3
Risk Control 0.789 0.731 – 0.897 0.9996 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 0.896 0.699 – 1.000 1.0200 3
Trend 0.550 0.372 – 0.655 1.0000 3
Trend Acceleration 0.691 0.508 – 0.829 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.