VADIE™ Research Archive

Historical Decision Report

Official autonomous portfolio evidence retained from the VisionX AI competition record.
Portfolio #191 Competition C162 Portfolio Engine v5.6.0 SETTLED
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Research Identity

VDX Daily Top Picks #20260901

Strategy: cmc_v4_daily_long_short
Submitted: 2026-08-30 00:05:02
Scored: 2026-09-02 00:30:01
Final Rank
#1
Rank reflects relative competition performance.
Final Score
1.6680%
Engine Status
LIVE
Payout
No payout recorded
Portfolio Environment

Decision Context

Market Regime
Neutral
Macro Regime
Neutral
Breadth
Neutral
Confidence
High
Expected Alpha
0.824
Optimizer
0.824
Portfolio Quality
0.918
Portfolio Risk
0.728
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
0.819482
Memory Adjustment
0.004667
Expected Alpha
0.824149
Correlation Score
0.350350
Correlation Penalty
0.000000
Final Optimizer Score
0.824149

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
2026-08-30 00:05:02
Historical Portfolio

Autonomous Decisions

Decision evidence exactly as retained when this portfolio was generated.
3 picks
LONG ZEC Decision #1
Sector: Layer1 · Pump risk: Low · Crash risk: Low
Decision Score
0.790
Decision Score Mathematics

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

LONG = clamp(raw - exhaustion - crash, 0, 1)
Raw LONG Score
0.794616
Exhaustion Penalty
0.004149
After Exhaustion
0.790467
Crash Guard Penalty
0.000000
Final Selection Score
0.790467
LONG Candidate Blocked
No
Confidence Calibration
Raw Confidence: 99
Confidence Cap: 90
Final Confidence Index: 90
Calibration Samples: 28

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 0.839194 0.839194 0.243539131
Trend 0.199454 0.771838 0.771838 0.149328011
Liquidity 0.142410 0.876080 0.876080 0.121019987
Market Quality 0.079750 0.799193 0.799193 0.061823421
Risk Control 0.079750 0.770886 0.770886 0.059633668
Rank 0.059836 0.915966 0.915966 0.053163765
Relative Strength 0.059836 0.785457 0.785457 0.045588866
Trend Acceleration 0.079782 0.636000 0.636000 0.049218937
Factor Total: 0.783315785
Macro Contribution: 0.011299560
Reconstructed Raw Score: 0.794615
Historical Raw Score: 0.794616

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 84%
Trend 77%
Liquidity 88%
Market Quality 80%
Risk Control 77%
Relative Strength 79%
Trend Acceleration 64%
Sector Rotation 54%
Sector Strength 48%
Supply Quality 80%
Mean Reversion Risk 36%
Momentum Exhaustion 52%
LONG ENA Decision #2
Sector: Defi · Pump risk: Low · Crash risk: Low
Decision Score
0.757
Decision Score Mathematics

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

LONG = clamp(raw - exhaustion - crash, 0, 1)
Raw LONG Score
0.763298
Exhaustion Penalty
0.006755
After Exhaustion
0.756544
Crash Guard Penalty
0.000000
Final Selection Score
0.756544
LONG Candidate Blocked
No
Confidence Calibration
Raw Confidence: 99
Confidence Cap: 90
Final Confidence Index: 90
Calibration Samples: 28

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 0.852341 0.852341 0.247354469
Trend 0.199454 0.718477 0.718477 0.139004222
Liquidity 0.142410 1.000000 1.000000 0.138138054
Market Quality 0.079750 0.646341 0.646341 0.049999201
Risk Control 0.079750 0.636175 0.636175 0.049212787
Rank 0.059836 0.621849 0.621849 0.036092862
Relative Strength 0.059836 0.768479 0.768479 0.044603443
Trend Acceleration 0.079782 0.615000 0.615000 0.047593783
Factor Total: 0.751998822
Macro Contribution: 0.011299560
Reconstructed Raw Score: 0.763298
Historical Raw Score: 0.763298

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
No negative factors recorded.
Momentum 85%
Trend 72%
Liquidity 100%
Market Quality 65%
Risk Control 64%
Relative Strength 77%
Trend Acceleration 62%
Sector Rotation 56%
Sector Strength 49%
Supply Quality 66%
Mean Reversion Risk 37%
Momentum Exhaustion 54%
SHORT BONK Decision #3
Sector: Layer2 · Pump risk: Low · Crash risk: Low
Decision Score
0.588
Decision Score Mathematics

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

SHORT = clamp(raw - rebound, 0, 1)
Raw SHORT Score
0.588159
Rebound Penalty
0.000000
After Rebound
0.588159
Final Selection Score
0.588159
Confidence Calibration
Raw Confidence: 98
Confidence Cap: 90
Final Confidence Index: 90
Calibration Samples: 28

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 0.430933 0.569067 0.170254284
Trend (inverted) 0.199454 0.407797 0.592203 0.118117431
Liquidity 0.142410 0.863561 0.863561 0.122980037
Market Quality 0.079750 0.577376 0.577376 0.046045623
Risk Control 0.079750 0.776320 0.776320 0.061911368
Rank 0.059836 0.092437 0.092437 0.005531087
Relative Strength (inverted) 0.059836 0.471464 0.528536 0.031625632
Trend Acceleration (inverted) 0.079782 0.602750 0.397250 0.031693287
Factor Total: 0.588158750
Reconstructed Raw Score: 0.588159
Historical Raw Score: 0.588159

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
! Risk sector tags
Momentum 43%
Trend 41%
Liquidity 86%
Market Quality 58%
Risk Control 78%
Relative Strength 47%
Trend Acceleration 60%
Sector Rotation 52%
Sector Strength 46%
Supply Quality 99%
Mean Reversion Risk 26%
Momentum Exhaustion 33%
Learning Audit

Factor Intelligence

Portfolio-level audit summary. Each observation represents one stored pick-factor result.
Factor Average Range Weight Records
Breadth 0.603 0.603 – 0.603 1.0000 3
Btc Relative Strength 0.473 0.386 – 0.543 1.0000 3
Depth 0.433 0.315 – 0.559 1.0000 3
Eth Relative Strength 0.475 0.387 – 0.544 1.0000 3
Extension 0.010 0.000 – 0.031 1.0000 3
Liquidity 0.913 0.864 – 1.000 1.0200 3
Macro Btc Dominance 0.705 0.705 – 0.705 1.0000 3
Macro Eth Dominance 0.237 0.237 – 0.237 1.0000 3
Macro Fear Greed 0.000 0.000 – 0.000 1.0000 3
Market Quality 0.674 0.577 – 0.799 0.9996 3
Mean Reversion Risk 0.334 0.265 – 0.373 1.0000 3
Momentum 0.707 0.431 – 0.852 1.0000 3
Momentum Exhaustion 0.464 0.327 – 0.543 1.0000 3
Pump Risk 0.200 0.200 – 0.200 1.0000 3
Rank 0.543 0.092 – 0.916 1.0000 3
Relative Strength 0.675 0.471 – 0.785 1.0000 3
Risk Control 0.728 0.636 – 0.776 0.9996 3
Sector Rotation 0.540 0.522 – 0.555 1.0000 3
Sector Strength 0.477 0.462 – 0.492 1.0000 3
Supply Quality 0.816 0.655 – 0.990 1.0200 3
Trend 0.633 0.408 – 0.772 1.0000 3
Trend Acceleration 0.618 0.603 – 0.636 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.