VADIE™ Research Archive

Historical Decision Report

Official autonomous portfolio evidence retained from the VisionX AI competition record.
Portfolio #157 Competition C128 Portfolio Engine v5.6.0 SETTLED
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Research Identity

VDX Daily Top Picks #20260803

Strategy: cmc_v4_daily_long_short
Submitted: 2026-08-01 00:05:01
Scored: 2026-08-17 02:10:01
Final Rank
#1
Rank reflects relative competition performance.
Final Score
-0.6985%
Engine Status
LIVE
Payout
No payout recorded
Portfolio Environment

Decision Context

Market Regime
Neutral
Macro Regime
Neutral
Breadth
Weak
Confidence
High
Expected Alpha
0.808
Optimizer
0.808
Portfolio Quality
0.930
Portfolio Risk
0.767
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
0.815748
Memory Adjustment
-0.007667
Expected Alpha
0.808081
Correlation Score
0.298242
Correlation Penalty
0.000000
Final Optimizer Score
0.808081

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

Autonomous Decisions

Decision evidence exactly as retained when this portfolio was generated.
3 picks
LONG UNI Decision #1
Sector: Defi · Pump risk: Low · Crash risk: Low
Decision Score
0.764
Decision Score Mathematics

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

LONG = clamp(raw - exhaustion - crash, 0, 1)
Raw LONG Score
0.764035
Exhaustion Penalty
0.000000
After Exhaustion
0.764035
Crash Guard Penalty
0.000000
Final Selection Score
0.764035
LONG Candidate Blocked
No
Confidence Calibration
Raw Confidence: 99
Confidence Cap: 85
Final Confidence Index: 85
Calibration Samples: 0

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 0.726040 0.726040 0.210701162
Trend 0.199454 0.720401 0.720401 0.139376460
Liquidity 0.142410 1.000000 1.000000 0.138138054
Market Quality 0.079750 0.880477 0.880477 0.068111333
Risk Control 0.079750 0.796106 0.796106 0.061584619
Rank 0.059836 0.764706 0.764706 0.044384453
Relative Strength 0.059836 0.726443 0.726443 0.042163623
Trend Acceleration 0.079782 0.633750 0.633750 0.049044813
Factor Total: 0.753504517
Macro Contribution: 0.010530900
Reconstructed Raw Score: 0.764035
Historical Raw Score: 0.764035

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 73%
Trend 72%
Liquidity 100%
Market Quality 88%
Risk Control 80%
Relative Strength 73%
Trend Acceleration 63%
Sector Rotation 60%
Sector Strength 49%
Supply Quality 70%
Mean Reversion Risk 34%
Momentum Exhaustion 42%
LONG PEPE Decision #2
Sector: Meme · Pump risk: Low · Crash risk: Low
Decision Score
0.627
Decision Score Mathematics

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

LONG = clamp(raw - exhaustion - crash, 0, 1)
Raw LONG Score
0.632021
Exhaustion Penalty
0.005045
After Exhaustion
0.626976
Crash Guard Penalty
0.000000
Final Selection Score
0.626976
LONG Candidate Blocked
No
Confidence Calibration
Raw Confidence: 98
Confidence Cap: 85
Final Confidence Index: 85
Calibration Samples: 0

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 0.512551 0.512551 0.148745374
Trend 0.199454 0.486999 0.486999 0.094220020
Liquidity 0.142410 1.000000 1.000000 0.138138054
Market Quality 0.079750 0.735788 0.735788 0.056918581
Risk Control 0.079750 0.769525 0.769525 0.059528384
Rank 0.059836 0.596639 0.596639 0.034629643
Relative Strength 0.059836 0.561393 0.561393 0.032583923
Trend Acceleration 0.079782 0.733000 0.733000 0.056725599
Factor Total: 0.621489578
Macro Contribution: 0.010530900
Reconstructed Raw Score: 0.632020
Historical Raw Score: 0.632021

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
! Risk sector tags
Momentum 51%
Trend 49%
Liquidity 100%
Market Quality 74%
Risk Control 77%
Relative Strength 56%
Trend Acceleration 73%
Sector Rotation 34%
Sector Strength 35%
Supply Quality 100%
Mean Reversion Risk 37%
Momentum Exhaustion 36%
SHORT DEXE Decision #3
Sector: Defi · Pump risk: Low · Crash risk: Medium
Decision Score
0.707
Decision Score Mathematics

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

SHORT = clamp(raw - rebound, 0, 1)
Raw SHORT Score
0.707492
Rebound Penalty
0.000000
After Rebound
0.707492
Final Selection Score
0.707492
Confidence Calibration
Raw Confidence: 99
Confidence Cap: 85
Final Confidence Index: 85
Calibration Samples: 0

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 0.137393 0.862607 0.258076004
Trend (inverted) 0.199454 0.232221 0.767779 0.153136818
Liquidity 0.142410 1.000000 1.000000 0.142410365
Market Quality 0.079750 0.522609 0.522609 0.041677966
Risk Control 0.079750 0.735336 0.735336 0.058642902
Rank 0.059836 0.050420 0.050420 0.003016946
Relative Strength (inverted) 0.059836 0.155521 0.844479 0.050530489
Trend Acceleration (inverted) 0.079782 1.000000 0.000000 0.000000000
Factor Total: 0.707491489
Reconstructed Raw Score: 0.707491
Historical Raw Score: 0.707492

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
! Elevated downside risk
! Weak momentum
! Weak trend
Momentum 14%
Trend 23%
Liquidity 100%
Market Quality 52%
Risk Control 74%
Relative Strength 16%
Trend Acceleration 100%
Sector Rotation 60%
Sector Strength 49%
Supply Quality 87%
Mean Reversion Risk 31%
Momentum Exhaustion 16%
Learning Audit

Factor Intelligence

Portfolio-level audit summary. Each observation represents one stored pick-factor result.
Factor Average Range Weight Records
Breadth 0.000 0.000 – 0.000 1.0000 3
Btc Relative Strength 0.469 0.146 – 0.715 1.0000 3
Depth 0.524 0.137 – 0.980 1.0000 3
Eth Relative Strength 0.443 0.120 – 0.689 1.0000 3
Extension 0.000 0.000 – 0.000 1.0000 3
Liquidity 1.000 1.000 – 1.000 1.0200 3
Macro Btc Dominance 0.674 0.674 – 0.674 1.0000 3
Macro Eth Dominance 0.191 0.191 – 0.191 1.0000 3
Macro Fear Greed 0.000 0.000 – 0.000 1.0000 3
Market Quality 0.713 0.523 – 0.880 0.9996 3
Mean Reversion Risk 0.339 0.308 – 0.367 1.0000 3
Momentum 0.459 0.137 – 0.726 1.0000 3
Momentum Exhaustion 0.313 0.159 – 0.420 1.0000 3
Pump Risk 0.200 0.200 – 0.200 1.0000 3
Rank 0.471 0.050 – 0.765 1.0000 3
Relative Strength 0.481 0.156 – 0.726 1.0000 3
Risk Control 0.767 0.735 – 0.796 0.9996 3
Sector Rotation 0.511 0.344 – 0.595 1.0000 3
Sector Strength 0.444 0.347 – 0.492 1.0000 3
Supply Quality 0.856 0.700 – 1.000 1.0200 3
Trend 0.480 0.232 – 0.720 1.0000 3
Trend Acceleration 0.789 0.634 – 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.