VADIE™ Research Archive

Historical Decision Report

Official autonomous portfolio evidence retained from the VisionX AI competition record.
Portfolio #185 Competition C156 Portfolio Engine v5.6.0 COMPLETED
← Previous Report Latest Report Next Report → Browse Research Library Back to VADIE Profile
Research Identity

VDX Weekly Top Picks #2026-W37

Strategy: cmc_v4_weekly_long_short
Submitted: 2026-08-24 00:05:03
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
0.818
Optimizer
0.818
Portfolio Quality
0.895
Portfolio Risk
0.651
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
0.818473
Memory Adjustment
0.000000
Expected Alpha
0.818473
Correlation Score
0.437050
Correlation Penalty
0.000000
Final Optimizer Score
0.818473

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
2026-08-24 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: Medium · Crash risk: Low
Decision Score
0.801
Decision Score Mathematics

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

LONG = clamp(raw - exhaustion - crash, 0, 1)
Raw LONG Score
0.841429
Exhaustion Penalty
0.040793
After Exhaustion
0.800636
Crash Guard Penalty
0.000000
Final Selection Score
0.800636
LONG Candidate Blocked
No
Confidence Calibration
Raw Confidence: 99
Confidence Cap: 90
Final Confidence Index: 90
Calibration Samples: 26

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 0.196989 1.000000 1.000000 0.191079218
Trend 0.232165 1.000000 1.000000 0.225200507
Liquidity 0.156340 1.000000 1.000000 0.151650173
Market Quality 0.143638 0.829706 0.829706 0.115601772
Risk Control 0.114527 0.273048 0.273048 0.030333267
Rank 0.058628 0.915966 0.915966 0.052089901
Relative Strength 0.058628 1.000000 1.000000 0.056868815
Trend Acceleration 0.039085 0.196000 0.196000 0.007430858
Factor Total: 0.830254510
Macro Contribution: 0.011174940
Reconstructed Raw Score: 0.841429
Historical Raw Score: 0.841429

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
✓ Positive sector tags
Negative Evidence
! Weak risk profile
! High momentum exhaustion
Momentum 100%
Trend 100%
Liquidity 100%
Market Quality 83%
Risk Control 27%
Relative Strength 100%
Trend Acceleration 20%
Sector Rotation 85%
Sector Strength 98%
Supply Quality 80%
Mean Reversion Risk 52%
Momentum Exhaustion 72%
LONG SOL Decision #2
Sector: Layer1 · Pump risk: Low · Crash risk: Low
Decision Score
0.761
Decision Score Mathematics

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

LONG = clamp(raw - exhaustion - crash, 0, 1)
Raw LONG Score
0.761275
Exhaustion Penalty
0.000000
After Exhaustion
0.761275
Crash Guard Penalty
0.000000
Final Selection Score
0.761275
LONG Candidate Blocked
No
Confidence Calibration
Raw Confidence: 97
Confidence Cap: 90
Final Confidence Index: 90
Calibration Samples: 26

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 0.196989 0.711064 0.711064 0.135869553
Trend 0.232165 0.706364 0.706364 0.159073531
Liquidity 0.156340 0.845628 0.845628 0.128239632
Market Quality 0.143638 0.888553 0.888553 0.123800842
Risk Control 0.114527 0.863730 0.863730 0.095952918
Rank 0.058628 0.949580 0.949580 0.054001489
Relative Strength 0.058628 0.732979 0.732979 0.041683647
Trend Acceleration 0.039085 0.302750 0.302750 0.011478022
Factor Total: 0.750099634
Macro Contribution: 0.011174940
Reconstructed Raw Score: 0.761275
Historical Raw Score: 0.761275

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 71%
Trend 71%
Liquidity 85%
Market Quality 89%
Risk Control 86%
Relative Strength 73%
Trend Acceleration 30%
Sector Rotation 85%
Sector Strength 98%
Supply Quality 92%
Mean Reversion Risk 28%
Momentum Exhaustion 49%
SHORT FTM Decision #3
Sector: Defi · Pump risk: Low · Crash risk: Low
Decision Score
0.716
Decision Score Mathematics

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

SHORT = clamp(raw - rebound, 0, 1)
Raw SHORT Score
0.716074
Rebound Penalty
0.000000
After Rebound
0.716074
Final Selection Score
0.716074
Confidence Calibration
Raw Confidence: 99
Confidence Cap: 90
Final Confidence Index: 90
Calibration Samples: 26

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) 0.196989 0.365596 0.634404 0.124970536
Trend (inverted) 0.232165 0.383471 0.616529 0.143136745
Liquidity 0.156340 1.000000 1.000000 0.156340384
Market Quality 0.143638 0.731195 0.731195 0.105027189
Risk Control 0.114527 0.816927 0.816927 0.093560320
Rank 0.058628 0.495798 0.495798 0.029067469
Relative Strength (inverted) 0.058628 0.317521 0.682479 0.040012136
Trend Acceleration (inverted) 0.039085 0.387000 0.613000 0.023959164
Factor Total: 0.716073943
Reconstructed Raw Score: 0.716074
Historical Raw Score: 0.716074

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 99%
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 0.872 0.872 – 0.872 1.0000 3
Btc Relative Strength 0.602 0.249 – 1.000 1.0000 3
Depth 0.564 0.423 – 0.770 1.0000 3
Eth Relative Strength 0.538 0.153 – 1.000 1.0000 3
Extension 0.058 0.000 – 0.175 1.0000 3
Liquidity 0.949 0.846 – 1.000 1.0000 3
Macro Btc Dominance 0.695 0.695 – 0.695 1.0000 3
Macro Eth Dominance 0.239 0.239 – 0.239 1.0000 3
Macro Fear Greed 0.000 0.000 – 0.000 1.0000 3
Market Quality 0.816 0.731 – 0.889 0.9800 3
Mean Reversion Risk 0.336 0.211 – 0.520 1.0000 3
Momentum 0.692 0.366 – 1.000 1.0000 3
Momentum Exhaustion 0.508 0.315 – 0.722 1.0000 3
Pump Risk 0.300 0.200 – 0.500 1.0000 3
Rank 0.787 0.496 – 0.950 1.0000 3
Relative Strength 0.684 0.318 – 1.000 1.0000 3
Risk Control 0.651 0.273 – 0.864 0.9800 3
Sector Rotation 0.866 0.854 – 0.888 1.0000 3
Sector Strength 0.981 0.976 – 0.991 1.0000 3
Supply Quality 0.869 0.802 – 0.922 1.0000 3
Trend 0.697 0.383 – 1.000 1.0000 3
Trend Acceleration 0.295 0.196 – 0.387 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.