VADIEβ„’ Research Archive

Historical Decision Report

Official autonomous portfolio evidence retained from the VisionX AI competition record.
Portfolio #195 Competition C166 Portfolio Engine v5.6.0 SETTLED
Research Identity

VDX Daily Top Picks #20260903

Strategy: cmc_v4_daily_long_short
Submitted: 2026-09-01 00:05:01
Scored: 2026-09-04 00:45:01
Final Rank
#1
Rank reflects relative competition performance.
Final Score
3.0874%
Engine Status
LIVE
Payout
No payout recorded
Portfolio Environment

Decision Context

Market Regime
Neutral
Macro Regime
Neutral
Breadth
Neutral
Confidence
High
Expected Alpha
0.822
Optimizer
0.822
Portfolio Quality
0.912
Portfolio Risk
0.707
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
0.828216
Memory Adjustment
-0.006667
Expected Alpha
0.821550
Correlation Score
0.199517
Correlation Penalty
0.000000
Final Optimizer Score
0.821550

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
2026-09-01 00:05:01
Historical Portfolio

Autonomous Decisions

Decision evidence exactly as retained when this portfolio was generated.
3 picks
LONG PUMP Decision #1
Sector: Other Β· Pump risk: Low Β· Crash risk: Low
Decision Score
0.751
Decision Score Mathematics

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

LONG = clamp(raw - exhaustion - crash, 0, 1)
Raw LONG Score
0.772662
Exhaustion Penalty
0.021474
After Exhaustion
0.751188
Crash Guard Penalty
0.000000
Final Selection Score
0.751188
LONG Candidate Blocked
No
Confidence Calibration
Raw Confidence: 99
Confidence Cap: 90
Final Confidence Index: 90
Calibration Samples: 31

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 0.975647 0.975647 0.283138610
Trend 0.199454 0.699425 0.699425 0.135318219
Liquidity 0.142410 1.000000 1.000000 0.138138054
Market Quality 0.079750 0.580634 0.580634 0.044916285
Risk Control 0.079750 0.423571 0.423571 0.032766313
Rank 0.059836 0.647059 0.647059 0.037556080
Relative Strength 0.059836 0.779121 0.779121 0.045221117
Trend Acceleration 0.079782 0.571500 0.571500 0.044227394
Factor Total: 0.761282073
Macro Contribution: 0.011379720
Reconstructed Raw Score: 0.772662
Historical Raw Score: 0.772662

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 liquidity
βœ“ Positive sector tags
Negative Evidence
! Momentum appears extended
Momentum 98%
Trend 70%
Liquidity 100%
Market Quality 58%
Risk Control 42%
Relative Strength 78%
Trend Acceleration 57%
Sector Rotation 83%
Sector Strength 88%
Supply Quality 40%
Mean Reversion Risk 42%
Momentum Exhaustion 61%
LONG UNI Decision #2
Sector: Defi Β· Pump risk: Low Β· Crash risk: Low
Decision Score
0.743
Decision Score Mathematics

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

LONG = clamp(raw - exhaustion - crash, 0, 1)
Raw LONG Score
0.743428
Exhaustion Penalty
0.000000
After Exhaustion
0.743428
Crash Guard Penalty
0.000000
Final Selection Score
0.743428
LONG Candidate Blocked
No
Confidence Calibration
Raw Confidence: 98
Confidence Cap: 90
Final Confidence Index: 90
Calibration Samples: 31

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 0.742801 0.742801 0.215565304
Trend 0.199454 0.774891 0.774891 0.149918677
Liquidity 0.142410 1.000000 1.000000 0.138138054
Market Quality 0.079750 0.892457 0.892457 0.069038073
Risk Control 0.079750 0.787802 0.787802 0.060942244
Rank 0.059836 0.798319 0.798319 0.046335392
Relative Strength 0.059836 0.689479 0.689479 0.040018188
Trend Acceleration 0.079782 0.156250 0.156250 0.012091917
Factor Total: 0.732047849
Macro Contribution: 0.011379720
Reconstructed Raw Score: 0.743428
Historical Raw Score: 0.743428

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 74%
Trend 77%
Liquidity 100%
Market Quality 89%
Risk Control 79%
Relative Strength 69%
Trend Acceleration 16%
Sector Rotation 55%
Sector Strength 45%
Supply Quality 70%
Mean Reversion Risk 28%
Momentum Exhaustion 49%
SHORT INJ Decision #3
Sector: Layer1 Β· Pump risk: Low Β· Crash risk: Low
Decision Score
0.636
Decision Score Mathematics

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

SHORT = clamp(raw - rebound, 0, 1)
Raw SHORT Score
0.635601
Rebound Penalty
0.000000
After Rebound
0.635601
Final Selection Score
0.635601
Confidence Calibration
Raw Confidence: 99
Confidence Cap: 90
Final Confidence Index: 90
Calibration Samples: 31

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 0.440143 0.559857 0.167498823
Trend (inverted) 0.199454 0.435106 0.564894 0.112670533
Liquidity 0.142410 1.000000 1.000000 0.142410365
Market Quality 0.079750 0.669913 0.669913 0.053425431
Risk Control 0.079750 0.909962 0.909962 0.072569292
Rank 0.059836 0.302521 0.302521 0.018101734
Relative Strength (inverted) 0.059836 0.428779 0.571221 0.034179744
Trend Acceleration (inverted) 0.079782 0.564500 0.435500 0.034744938
Factor Total: 0.635600860
Reconstructed Raw Score: 0.635601
Historical Raw Score: 0.635601

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 44%
Liquidity 100%
Market Quality 67%
Risk Control 91%
Relative Strength 43%
Trend Acceleration 56%
Sector Rotation 53%
Sector Strength 44%
Supply Quality 100%
Mean Reversion Risk 27%
Momentum Exhaustion 34%
Learning Audit

Factor Intelligence

Portfolio-level audit summary. Each observation represents one stored pick-factor result.
Factor Average Range Weight Records
Breadth 0.605 0.605 – 0.605 1.0000 3
Btc Relative Strength 0.512 0.346 – 0.759 1.0000 3
Depth 0.547 0.255 – 0.990 1.0000 3
Eth Relative Strength 0.516 0.349 – 0.762 1.0000 3
Extension 0.026 0.000 – 0.077 1.0000 3
Liquidity 1.000 1.000 – 1.000 1.0200 3
Macro Btc Dominance 0.710 0.710 – 0.710 1.0000 3
Macro Eth Dominance 0.239 0.239 – 0.239 1.0000 3
Macro Fear Greed 0.000 0.000 – 0.000 1.0000 3
Market Quality 0.714 0.581 – 0.892 0.9996 3
Mean Reversion Risk 0.325 0.274 – 0.422 1.0000 3
Momentum 0.720 0.440 – 0.976 1.0000 3
Momentum Exhaustion 0.479 0.344 – 0.607 1.0000 3
Pump Risk 0.200 0.200 – 0.200 1.0000 3
Rank 0.583 0.303 – 0.798 1.0000 3
Relative Strength 0.632 0.429 – 0.779 1.0000 3
Risk Control 0.707 0.424 – 0.910 0.9996 3
Sector Rotation 0.638 0.527 – 0.834 1.0000 3
Sector Strength 0.591 0.438 – 0.881 1.0000 3
Supply Quality 0.699 0.396 – 1.000 1.0200 3
Trend 0.636 0.435 – 0.775 1.0000 3
Trend Acceleration 0.431 0.156 – 0.572 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.