VADIE™ Research Archive

Historical Decision Report

Official autonomous portfolio evidence retained from the VisionX AI competition record.
Portfolio #180 Competition C151 Portfolio Engine v5.6.0 SETTLED
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Research Identity

VDX Daily Top Picks #20260822

Strategy: cmc_v4_daily_long_short
Submitted: 2026-08-20 00:05:02
Scored: 2026-08-23 00:15:01
Final Rank
#1
Rank reflects relative competition performance.
Final Score
6.7568%
Engine Status
LIVE
Payout
No payout recorded
Portfolio Environment

Decision Context

Market Regime
Neutral
Macro Regime
Neutral
Breadth
Strong
Confidence
High
Expected Alpha
0.796
Optimizer
0.796
Portfolio Quality
0.921
Portfolio Risk
0.738
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
0.810705
Memory Adjustment
-0.015000
Expected Alpha
0.795705
Correlation Score
0.403683
Correlation Penalty
0.000000
Final Optimizer Score
0.795705

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
2026-08-20 00:05:02
Historical Portfolio

Autonomous Decisions

Decision evidence exactly as retained when this portfolio was generated.
3 picks
LONG ETH Decision #1
Sector: Layer1 · Pump risk: Low · Crash risk: Low
Decision Score
0.741
Decision Score Mathematics

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

LONG = clamp(raw - exhaustion - crash, 0, 1)
Raw LONG Score
0.741084
Exhaustion Penalty
0.000000
After Exhaustion
0.741084
Crash Guard Penalty
0.000000
Final Selection Score
0.741084
LONG Candidate Blocked
No
Confidence Calibration
Raw Confidence: 99
Confidence Cap: 90
Final Confidence Index: 90
Calibration Samples: 23

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 0.723490 0.723490 0.209961136
Trend 0.199454 0.728273 0.728273 0.140899461
Liquidity 0.142410 1.000000 1.000000 0.138138054
Market Quality 0.079750 0.997479 0.997479 0.077162293
Risk Control 0.079750 0.800720 0.800720 0.061941546
Rank 0.059836 0.991597 0.991597 0.057553479
Relative Strength 0.059836 0.763400 0.763400 0.044308652
Trend Acceleration 0.079782 0.000000 0.000000 0.000000000
Factor Total: 0.729964621
Macro Contribution: 0.011119530
Reconstructed Raw Score: 0.741084
Historical Raw Score: 0.741084

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 72%
Trend 73%
Liquidity 100%
Market Quality 100%
Risk Control 80%
Relative Strength 76%
Trend Acceleration 0%
Sector Rotation 59%
Sector Strength 59%
Supply Quality 100%
Mean Reversion Risk 28%
Momentum Exhaustion 53%
LONG PUMP Decision #2
Sector: Other · Pump risk: Low · Crash risk: Low
Decision Score
0.662
Decision Score Mathematics

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

LONG = clamp(raw - exhaustion - crash, 0, 1)
Raw LONG Score
0.671217
Exhaustion Penalty
0.009396
After Exhaustion
0.661821
Crash Guard Penalty
0.000000
Final Selection Score
0.661821
LONG Candidate Blocked
No
Confidence Calibration
Raw Confidence: 96
Confidence Cap: 90
Final Confidence Index: 90
Calibration Samples: 23

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 0.759610 0.759610 0.220443377
Trend 0.199454 0.746098 0.746098 0.144348076
Liquidity 0.142410 1.000000 1.000000 0.138138054
Market Quality 0.079750 0.555687 0.555687 0.042986452
Risk Control 0.079750 0.534255 0.534255 0.041328530
Rank 0.059836 0.571429 0.571429 0.033166424
Relative Strength 0.059836 0.683771 0.683771 0.039686889
Trend Acceleration 0.079782 0.000000 0.000000 0.000000000
Factor Total: 0.660097802
Macro Contribution: 0.011119530
Reconstructed Raw Score: 0.671217
Historical Raw Score: 0.671217

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 76%
Trend 75%
Liquidity 100%
Market Quality 56%
Risk Control 53%
Relative Strength 68%
Trend Acceleration 0%
Sector Rotation 61%
Sector Strength 59%
Supply Quality 39%
Mean Reversion Risk 38%
Momentum Exhaustion 59%
SHORT IMX Decision #3
Sector: Layer2 · Pump risk: Low · Crash risk: Low
Decision Score
0.681
Decision Score Mathematics

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

SHORT = clamp(raw - rebound, 0, 1)
Raw SHORT Score
0.680697
Rebound Penalty
0.000000
After Rebound
0.680697
Final Selection Score
0.680697
Confidence Calibration
Raw Confidence: 99
Confidence Cap: 90
Final Confidence Index: 90
Calibration Samples: 23

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 0.388830 0.611170 0.182850720
Trend (inverted) 0.199454 0.376364 0.623636 0.124386878
Liquidity 0.142410 1.000000 1.000000 0.142410365
Market Quality 0.079750 0.567163 0.567163 0.045231138
Risk Control 0.079750 0.878266 0.878266 0.070041542
Rank 0.059836 0.025210 0.025210 0.001508473
Relative Strength (inverted) 0.059836 0.423650 0.576350 0.034486645
Trend Acceleration (inverted) 0.079782 0.000000 1.000000 0.079781717
Factor Total: 0.680697478
Reconstructed Raw Score: 0.680697
Historical Raw Score: 0.680697

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 39%
Trend 38%
Liquidity 100%
Market Quality 57%
Risk Control 88%
Relative Strength 42%
Trend Acceleration 0%
Sector Rotation 57%
Sector Strength 59%
Supply Quality 100%
Mean Reversion Risk 30%
Momentum Exhaustion 42%
Learning Audit

Factor Intelligence

Portfolio-level audit summary. Each observation represents one stored pick-factor result.
Factor Average Range Weight Records
Breadth 0.725 0.725 – 0.725 1.0000 3
Btc Relative Strength 0.476 0.298 – 0.630 1.0000 3
Depth 0.516 0.251 – 1.000 1.0000 3
Eth Relative Strength 0.346 0.168 – 0.500 1.0000 3
Extension 0.012 0.000 – 0.036 1.0000 3
Liquidity 1.000 1.000 – 1.000 1.0200 3
Macro Btc Dominance 0.685 0.685 – 0.685 1.0000 3
Macro Eth Dominance 0.250 0.250 – 0.250 1.0000 3
Macro Fear Greed 0.000 0.000 – 0.000 1.0000 3
Market Quality 0.707 0.556 – 0.997 0.9996 3
Mean Reversion Risk 0.320 0.279 – 0.381 1.0000 3
Momentum 0.624 0.389 – 0.760 1.0000 3
Momentum Exhaustion 0.513 0.422 – 0.590 1.0000 3
Pump Risk 0.200 0.200 – 0.200 1.0000 3
Rank 0.529 0.025 – 0.992 1.0000 3
Relative Strength 0.624 0.424 – 0.763 1.0000 3
Risk Control 0.738 0.534 – 0.878 0.9996 3
Sector Rotation 0.589 0.573 – 0.607 1.0000 3
Sector Strength 0.593 0.592 – 0.594 1.0000 3
Supply Quality 0.797 0.391 – 1.000 1.0200 3
Trend 0.617 0.376 – 0.746 1.0000 3
Trend Acceleration 0.000 0.000 – 0.000 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.