VADIE™ Research Archive

Historical Decision Report

Official autonomous portfolio evidence retained from the VisionX AI competition record.
Portfolio #188 Competition C159 Portfolio Engine v5.6.0 SETTLED
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Research Identity

VDX Daily Top Picks #20260829

Strategy: cmc_v4_daily_long_short
Submitted: 2026-08-27 00:05:01
Scored: 2026-08-30 00:30:01
Final Rank
#1
Rank reflects relative competition performance.
Final Score
1.0781%
Engine Status
LIVE
Payout
No payout recorded
Portfolio Environment

Decision Context

Market Regime
Bull
Macro Regime
Neutral
Breadth
Strong
Confidence
High
Expected Alpha
0.825
Optimizer
0.825
Portfolio Quality
0.894
Portfolio Risk
0.645
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
0.824837
Memory Adjustment
0.000000
Expected Alpha
0.824837
Correlation Score
0.404417
Correlation Penalty
0.000000
Final Optimizer Score
0.824837

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
2026-08-27 00:05:01
Historical Portfolio

Autonomous Decisions

Decision evidence exactly as retained when this portfolio was generated.
3 picks
LONG ENA Decision #1
Sector: Defi · Pump risk: Low · Crash risk: Low
Decision Score
0.863
Decision Score Mathematics

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

LONG = clamp(raw - exhaustion - crash, 0, 1)
Raw LONG Score
0.880895
Exhaustion Penalty
0.017504
After Exhaustion
0.863391
Crash Guard Penalty
0.000000
Final Selection Score
0.863391
LONG Candidate Blocked
No
Confidence Calibration
Raw Confidence: 99
Confidence Cap: 90
Final Confidence Index: 90
Calibration Samples: 27

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 0.998744 0.998744 0.310501451
Trend 0.206040 0.924991 0.924991 0.184867868
Liquidity 0.136216 1.000000 1.000000 0.132129071
Market Quality 0.076281 0.635959 0.635959 0.047056056
Risk Control 0.070178 0.481169 0.481169 0.032754568
Rank 0.057233 0.588235 0.588235 0.032656699
Relative Strength 0.057233 1.000000 1.000000 0.055516416
Trend Acceleration 0.076311 1.000000 1.000000 0.074021889
Factor Total: 0.869504018
Macro Contribution: 0.011390910
Reconstructed Raw Score: 0.880895
Historical Raw Score: 0.880895

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 92%
Liquidity 100%
Market Quality 64%
Risk Control 48%
Relative Strength 100%
Trend Acceleration 100%
Sector Rotation 75%
Sector Strength 79%
Supply Quality 66%
Mean Reversion Risk 41%
Momentum Exhaustion 59%
LONG ZEC Decision #2
Sector: Layer1 · Pump risk: Low · Crash risk: Low
Decision Score
0.861
Decision Score Mathematics

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

LONG = clamp(raw - exhaustion - crash, 0, 1)
Raw LONG Score
0.867034
Exhaustion Penalty
0.005717
After Exhaustion
0.861317
Crash Guard Penalty
0.000000
Final Selection Score
0.861317
LONG Candidate Blocked
No
Confidence Calibration
Raw Confidence: 99
Confidence Cap: 90
Final Confidence Index: 90
Calibration Samples: 27

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 0.954623 0.954623 0.296784589
Trend 0.206040 0.897557 0.897557 0.179384933
Liquidity 0.136216 0.896182 0.896182 0.118411695
Market Quality 0.076281 0.803918 0.803918 0.059483726
Risk Control 0.070178 0.751125 0.751125 0.051131255
Rank 0.057233 0.915966 0.915966 0.050851150
Relative Strength 0.057233 0.955993 0.955993 0.053073305
Trend Acceleration 0.076311 0.628500 0.628500 0.046522757
Factor Total: 0.855643410
Macro Contribution: 0.011390910
Reconstructed Raw Score: 0.867034
Historical Raw Score: 0.867034

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
! Momentum appears extended
Momentum 95%
Trend 90%
Liquidity 90%
Market Quality 80%
Risk Control 75%
Relative Strength 96%
Trend Acceleration 63%
Sector Rotation 83%
Sector Strength 88%
Supply Quality 80%
Mean Reversion Risk 37%
Momentum Exhaustion 60%
SHORT APT Decision #3
Sector: Layer1 · Pump risk: Low · Crash risk: Low
Decision Score
0.594
Decision Score Mathematics

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

SHORT = clamp(raw - rebound, 0, 1)
Raw SHORT Score
0.593723
Rebound Penalty
0.000000
After Rebound
0.593723
Final Selection Score
0.593723
Confidence Calibration
Raw Confidence: 99
Confidence Cap: 90
Final Confidence Index: 90
Calibration Samples: 27

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 0.469411 0.530589 0.170057566
Trend (inverted) 0.206040 0.456012 0.543988 0.112083455
Liquidity 0.136216 1.000000 1.000000 0.136215537
Market Quality 0.076281 0.553523 0.553523 0.042223122
Risk Control 0.070178 0.702803 0.702803 0.049321481
Rank 0.057233 0.260504 0.260504 0.014909535
Relative Strength (inverted) 0.057233 0.492271 0.507729 0.029059067
Trend Acceleration (inverted) 0.076311 0.477750 0.522250 0.039853537
Factor Total: 0.593723300
Reconstructed Raw Score: 0.593723
Historical Raw Score: 0.593723

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

Positive Evidence
✓ High liquidity
✓ Controlled risk
✓ Positive sector tags
Negative Evidence
No negative factors recorded.
Momentum 47%
Trend 46%
Liquidity 100%
Market Quality 55%
Risk Control 70%
Relative Strength 49%
Trend Acceleration 48%
Sector Rotation 83%
Sector Strength 88%
Supply Quality 41%
Mean Reversion Risk 26%
Momentum Exhaustion 37%
Learning Audit

Factor Intelligence

Portfolio-level audit summary. Each observation represents one stored pick-factor result.
Factor Average Range Weight Records
Breadth 0.796 0.796 – 0.796 1.0000 3
Btc Relative Strength 0.740 0.338 – 1.000 1.0000 3
Depth 0.391 0.315 – 0.435 1.0000 3
Eth Relative Strength 0.763 0.373 – 1.000 1.0000 3
Extension 0.044 0.000 – 0.091 1.0000 3
Liquidity 0.965 0.896 – 1.000 1.0200 3
Macro Btc Dominance 0.709 0.709 – 0.709 1.0000 3
Macro Eth Dominance 0.243 0.243 – 0.243 1.0000 3
Macro Fear Greed 0.000 0.000 – 0.000 1.0000 3
Market Quality 0.664 0.554 – 0.804 0.9996 3
Mean Reversion Risk 0.344 0.255 – 0.408 1.0000 3
Momentum 0.808 0.469 – 0.999 1.0000 3
Momentum Exhaustion 0.522 0.374 – 0.601 1.0000 3
Pump Risk 0.200 0.200 – 0.200 1.0000 3
Rank 0.588 0.261 – 0.916 1.0000 3
Relative Strength 0.816 0.492 – 1.000 1.0000 3
Risk Control 0.645 0.481 – 0.751 0.9996 3
Sector Rotation 0.803 0.755 – 0.828 1.0000 3
Sector Strength 0.853 0.789 – 0.885 1.0000 3
Supply Quality 0.622 0.409 – 0.802 1.0200 3
Trend 0.760 0.456 – 0.925 1.0000 3
Trend Acceleration 0.702 0.478 – 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.