VADIE™ Research Archive

Historical Decision Report

Official autonomous portfolio evidence retained from the VisionX AI competition record.
Portfolio #182 Competition C153 Portfolio Engine v5.6.0 COMPLETED
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Research Identity

VDX Daily Top Picks #20260824

Strategy: cmc_v4_daily_long_short
Submitted: 2026-08-22 00:05:02
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
Bull
Macro Regime
Neutral
Breadth
Strong
Confidence
High
Expected Alpha
0.846
Optimizer
0.846
Portfolio Quality
0.899
Portfolio Risk
0.662
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
0.845733
Memory Adjustment
0.000000
Expected Alpha
0.845733
Correlation Score
0.205242
Correlation Penalty
0.000000
Final Optimizer Score
0.845733

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 Intelligence™
Engine Version
v5.6.0
Engine Build
2026.07.25
Engine Mode
Long/Short Expected Alpha
Generated
2026-08-22 00:05:02
Historical Portfolio

Autonomous Decisions

Decision evidence exactly as retained when this portfolio was generated.
3 picks
LONG ADA Decision #1
Sector: Layer1 · Pump risk: Low · Crash risk: Low
Decision Score
0.843
Decision Score Mathematics

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

LONG = clamp(raw - exhaustion - crash, 0, 1)
Raw LONG Score
0.843358
Exhaustion Penalty
0.000000
After Exhaustion
0.843358
Crash Guard Penalty
0.000000
Final Selection Score
0.843358
LONG Candidate Blocked
No
Confidence Calibration
Raw Confidence: 98
Confidence Cap: 90
Final Confidence Index: 90
Calibration Samples: 24

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 0.803903 0.803903 0.249926957
Trend 0.206040 0.799599 0.799599 0.159807136
Liquidity 0.136216 1.000000 1.000000 0.132129071
Market Quality 0.076281 0.939093 0.939093 0.069485632
Risk Control 0.070178 0.730693 0.730693 0.049740390
Rank 0.057233 0.890756 0.890756 0.049451581
Relative Strength 0.057233 0.854093 0.854093 0.047416183
Trend Acceleration 0.076311 1.000000 1.000000 0.074021889
Factor Total: 0.831978837
Macro Contribution: 0.011379210
Reconstructed Raw Score: 0.843358
Historical Raw Score: 0.843358

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

Positive Evidence
✓ Strong momentum
✓ Strong trend
✓ High liquidity
✓ High market quality
✓ Controlled risk
Negative Evidence
No negative factors recorded.
Momentum 80%
Trend 80%
Liquidity 100%
Market Quality 94%
Risk Control 73%
Relative Strength 85%
Trend Acceleration 100%
Sector Rotation 88%
Sector Strength 94%
Supply Quality 81%
Mean Reversion Risk 20%
Momentum Exhaustion 42%
LONG PUMP Decision #2
Sector: Other · Pump risk: Low · Crash risk: Low
Decision Score
0.805
Decision Score Mathematics

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

LONG = clamp(raw - exhaustion - crash, 0, 1)
Raw LONG Score
0.820622
Exhaustion Penalty
0.015852
After Exhaustion
0.804770
Crash Guard Penalty
0.000000
Final Selection Score
0.804770
LONG Candidate Blocked
No
Confidence Calibration
Raw Confidence: 96
Confidence Cap: 90
Final Confidence Index: 90
Calibration Samples: 24

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 0.883345 0.883345 0.176544536
Liquidity 0.136216 1.000000 1.000000 0.132129071
Market Quality 0.076281 0.570845 0.570845 0.042238123
Risk Control 0.070178 0.438708 0.438708 0.029864125
Rank 0.057233 0.621849 0.621849 0.034522828
Relative Strength 0.057233 1.000000 1.000000 0.055516416
Trend Acceleration 0.076311 0.372000 0.372000 0.027536143
Factor Total: 0.809243173
Macro Contribution: 0.011379210
Reconstructed Raw Score: 0.820622
Historical Raw Score: 0.820622

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

Positive Evidence
✓ Strong momentum
✓ Strong trend
✓ High liquidity
✓ Positive sector tags
Negative Evidence
! Momentum appears extended
Momentum 100%
Trend 88%
Liquidity 100%
Market Quality 57%
Risk Control 44%
Relative Strength 100%
Trend Acceleration 37%
Sector Rotation 84%
Sector Strength 87%
Supply Quality 39%
Mean Reversion Risk 40%
Momentum Exhaustion 69%
SHORT FTM Decision #3
Sector: Defi · Pump risk: Low · Crash risk: Low
Decision Score
0.694
Decision Score Mathematics

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

SHORT = clamp(raw - rebound, 0, 1)
Raw SHORT Score
0.693899
Rebound Penalty
0.000000
After Rebound
0.693899
Final Selection Score
0.693899
Confidence Calibration
Raw Confidence: 99
Confidence Cap: 90
Final Confidence Index: 90
Calibration Samples: 24

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 0.365596 0.634404 0.203331016
Trend (inverted) 0.206040 0.383471 0.616529 0.127029825
Liquidity 0.136216 1.000000 1.000000 0.136215537
Market Quality 0.076281 0.731195 0.731195 0.055776067
Risk Control 0.070178 0.816927 0.816927 0.057330503
Rank 0.057233 0.495798 0.495798 0.028376215
Relative Strength (inverted) 0.057233 0.317521 0.682479 0.039060607
Trend Acceleration (inverted) 0.076311 0.387000 0.613000 0.046778781
Factor Total: 0.693898550
Reconstructed Raw Score: 0.693899
Historical Raw Score: 0.693899

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

Positive Evidence
✓ High liquidity
✓ High market quality
✓ Controlled risk
✓ 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 89%
Sector Strength 95%
Supply Quality 88%
Mean Reversion Risk 21%
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 0.897 0.897 – 0.897 1.0000 3
Btc Relative Strength 0.503 0.233 – 0.715 1.0000 3
Depth 0.584 0.251 – 1.000 1.0000 3
Eth Relative Strength 0.382 0.111 – 0.594 1.0000 3
Extension 0.045 0.000 – 0.101 1.0000 3
Liquidity 1.000 1.000 – 1.000 1.0200 3
Macro Btc Dominance 0.703 0.703 – 0.703 1.0000 3
Macro Eth Dominance 0.252 0.252 – 0.252 1.0000 3
Macro Fear Greed 0.000 0.000 – 0.000 1.0000 3
Market Quality 0.747 0.571 – 0.939 0.9996 3
Mean Reversion Risk 0.272 0.205 – 0.403 1.0000 3
Momentum 0.723 0.366 – 1.000 1.0000 3
Momentum Exhaustion 0.477 0.315 – 0.694 1.0000 3
Pump Risk 0.200 0.200 – 0.200 1.0000 3
Rank 0.669 0.496 – 0.891 1.0000 3
Relative Strength 0.724 0.318 – 1.000 1.0000 3
Risk Control 0.662 0.439 – 0.817 0.9996 3
Sector Rotation 0.869 0.844 – 0.887 1.0000 3
Sector Strength 0.920 0.868 – 0.951 1.0000 3
Supply Quality 0.695 0.390 – 0.883 1.0200 3
Trend 0.689 0.383 – 0.883 1.0000 3
Trend Acceleration 0.586 0.372 – 1.000 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.