VADIEβ„’ Research Archive

Historical Decision Report

Official autonomous portfolio evidence retained from the VisionX AI competition record.
Portfolio #178 Competition C149 Portfolio Engine v5.6.0 COMPLETED
Research Identity

VDX Daily Top Picks #20260820

Strategy: cmc_v4_daily_long_short
Submitted: 2026-08-18 00:05:01
Scored: Not recorded
Final Rank
Not recorded
Rank reflects relative competition performance.
Final Score
Not recorded
Engine Status
LIVE
Payout
No payout recorded
Portfolio Environment

Decision Context

Market Regime
Neutral
Macro Regime
Neutral
Breadth
Neutral
Confidence
High
Expected Alpha
0.785
Optimizer
0.785
Portfolio Quality
0.921
Portfolio Risk
0.736
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
0.789075
Memory Adjustment
-0.004333
Expected Alpha
0.784741
Correlation Score
0.531767
Correlation Penalty
0.000000
Final Optimizer Score
0.784741

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
2026-08-18 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
0.648
Decision Score Mathematics

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

LONG = clamp(raw - exhaustion - crash, 0, 1)
Raw LONG Score
0.668707
Exhaustion Penalty
0.020994
After Exhaustion
0.647713
Crash Guard Penalty
0.000000
Final Selection Score
0.647713
LONG Candidate Blocked
No
Confidence Calibration
Raw Confidence: 99
Confidence Cap: 90
Final Confidence Index: 90
Calibration Samples: 21

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 0.756870 0.756870 0.219648212
Trend 0.199454 0.731765 0.731765 0.141575061
Liquidity 0.142410 1.000000 1.000000 0.138138054
Market Quality 0.079750 0.555538 0.555538 0.042974926
Risk Control 0.079750 0.524226 0.524226 0.040552713
Rank 0.059836 0.571429 0.571429 0.033166424
Relative Strength 0.059836 0.692921 0.692921 0.040217966
Trend Acceleration 0.079782 0.022250 0.022250 0.001721889
Factor Total: 0.657995246
Macro Contribution: 0.010711590
Reconstructed Raw Score: 0.668707
Historical Raw Score: 0.668707

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“ Positive sector tags
Negative Evidence
! Momentum appears extended
Momentum 76%
Trend 73%
Liquidity 100%
Market Quality 56%
Risk Control 52%
Relative Strength 69%
Trend Acceleration 2%
Sector Rotation 54%
Sector Strength 52%
Supply Quality 39%
Mean Reversion Risk 42%
Momentum Exhaustion 59%
LONG XAUT Decision #2
Sector: Rwa Β· Pump risk: Low Β· Crash risk: Low
Decision Score
0.640
Decision Score Mathematics

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

LONG = clamp(raw - exhaustion - crash, 0, 1)
Raw LONG Score
0.639804
Exhaustion Penalty
0.000000
After Exhaustion
0.639804
Crash Guard Penalty
0.000000
Final Selection Score
0.639804
LONG Candidate Blocked
No
Confidence Calibration
Raw Confidence: 98
Confidence Cap: 90
Final Confidence Index: 90
Calibration Samples: 21

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 0.532367 0.532367 0.154496096
Trend 0.199454 0.528992 0.528992 0.102344434
Liquidity 0.142410 0.924400 0.924400 0.127694817
Market Quality 0.079750 0.749460 0.749460 0.057976210
Risk Control 0.079750 0.865968 0.865968 0.066988955
Rank 0.059836 0.764706 0.764706 0.044384453
Relative Strength 0.059836 0.538086 0.538086 0.031231157
Trend Acceleration 0.079782 0.568250 0.568250 0.043975882
Factor Total: 0.629092004
Macro Contribution: 0.010711590
Reconstructed Raw Score: 0.639804
Historical Raw Score: 0.639804

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 53%
Trend 53%
Liquidity 92%
Market Quality 75%
Risk Control 87%
Relative Strength 54%
Trend Acceleration 57%
Sector Rotation 52%
Sector Strength 49%
Supply Quality 87%
Mean Reversion Risk 34%
Momentum Exhaustion 40%
SHORT FTM Decision #3
Sector: Defi Β· Pump risk: Low Β· Crash risk: Low
Decision Score
0.698
Decision Score Mathematics

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

SHORT = clamp(raw - rebound, 0, 1)
Raw SHORT Score
0.698054
Rebound Penalty
0.000000
After Rebound
0.698054
Final Selection Score
0.698054
Confidence Calibration
Raw Confidence: 99
Confidence Cap: 90
Final Confidence Index: 90
Calibration Samples: 21

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 0.365596 0.634404 0.189801902
Trend (inverted) 0.199454 0.383471 0.616529 0.122969356
Liquidity 0.142410 1.000000 1.000000 0.142410365
Market Quality 0.079750 0.731195 0.731195 0.058312658
Risk Control 0.079750 0.816927 0.816927 0.065149769
Rank 0.059836 0.495798 0.495798 0.029666712
Relative Strength (inverted) 0.059836 0.317521 0.682479 0.040837010
Trend Acceleration (inverted) 0.079782 0.387000 0.613000 0.048906193
Factor Total: 0.698053964
Reconstructed Raw Score: 0.698054
Historical Raw Score: 0.698054

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 37%
Trend 38%
Liquidity 100%
Market Quality 73%
Risk Control 82%
Relative Strength 32%
Trend Acceleration 39%
Sector Rotation 49%
Sector Strength 50%
Supply Quality 88%
Mean Reversion Risk 27%
Momentum Exhaustion 32%
Learning Audit

Factor Intelligence

Portfolio-level audit summary. Each observation represents one stored pick-factor result.
Factor Average Range Weight Records
Breadth 0.461 0.461 – 0.461 1.0000 3
Btc Relative Strength 0.499 0.468 – 0.531 1.0000 3
Depth 0.349 0.251 – 0.500 1.0000 3
Eth Relative Strength 0.482 0.451 – 0.514 1.0000 3
Extension 0.000 0.000 – 0.000 1.0000 3
Liquidity 0.975 0.924 – 1.000 1.0200 3
Macro Btc Dominance 0.685 0.685 – 0.685 1.0000 3
Macro Eth Dominance 0.196 0.196 – 0.196 1.0000 3
Macro Fear Greed 0.000 0.000 – 0.000 1.0000 3
Market Quality 0.679 0.556 – 0.749 0.9996 3
Mean Reversion Risk 0.344 0.273 – 0.420 1.0000 3
Momentum 0.552 0.366 – 0.757 1.0000 3
Momentum Exhaustion 0.435 0.315 – 0.587 1.0000 3
Pump Risk 0.200 0.200 – 0.200 1.0000 3
Rank 0.611 0.496 – 0.765 1.0000 3
Relative Strength 0.516 0.318 – 0.693 1.0000 3
Risk Control 0.736 0.524 – 0.866 0.9996 3
Sector Rotation 0.516 0.490 – 0.536 1.0000 3
Sector Strength 0.504 0.493 – 0.524 1.0000 3
Supply Quality 0.713 0.391 – 0.883 1.0200 3
Trend 0.548 0.383 – 0.732 1.0000 3
Trend Acceleration 0.326 0.022 – 0.568 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.