VADIE™ Research Archive

Historical Decision Report

Official autonomous portfolio evidence retained from the VisionX AI competition record.
Portfolio #220 Competition C191 Portfolio Engine v5.6.0 SETTLED
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Research Identity

VDX Daily Top Picks #20260925

Strategy: cmc_v4_daily_long_short
Submitted: 2026-09-23 00:05:02
Scored: 2026-09-26 00:20:01
Final Rank
#1
Rank reflects relative competition performance.
Final Score
2.0747%
Engine Status
LIVE
Payout
No payout recorded
Portfolio Environment

Decision Context

Market Regime
Bull
Macro Regime
Neutral
Breadth
Strong
Confidence
High
Expected Alpha
0.861
Optimizer
0.861
Portfolio Quality
0.908
Portfolio Risk
0.695
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
0.860902
Memory Adjustment
0.000000
Expected Alpha
0.860902
Correlation Score
0.177008
Correlation Penalty
0.000000
Final Optimizer Score
0.860902

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
2026-09-23 00:05:02
Historical Portfolio

Autonomous Decisions

Decision evidence exactly as retained when this portfolio was generated.
3 picks
LONG UNI Decision #1
Sector: Defi · Pump risk: Medium · Crash risk: Low
Decision Score
0.919
Decision Score Mathematics

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

LONG = clamp(raw - exhaustion - crash, 0, 1)
Raw LONG Score
0.919042
Exhaustion Penalty
0.000000
After Exhaustion
0.919042
Crash Guard Penalty
0.000000
Final Selection Score
0.919042
LONG Candidate Blocked
No
Confidence Calibration
Raw Confidence: 99
Confidence Cap: 94
Final Confidence Index: 94
Calibration Samples: 55

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 1.000000 1.000000 0.310891932
Trend 0.206040 0.983467 0.983467 0.196554828
Liquidity 0.136216 1.000000 1.000000 0.132129071
Market Quality 0.076281 0.911464 0.911464 0.067441299
Risk Control 0.070178 0.347951 0.347951 0.023686033
Rank 0.057233 0.857143 0.857143 0.047585508
Relative Strength 0.057233 1.000000 1.000000 0.055516416
Trend Acceleration 0.076311 1.000000 1.000000 0.074021889
Factor Total: 0.907826976
Macro Contribution: 0.011215440
Reconstructed Raw Score: 0.919042
Historical Raw Score: 0.919042

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
! Momentum appears extended
Momentum 100%
Trend 98%
Liquidity 100%
Market Quality 91%
Risk Control 35%
Relative Strength 100%
Trend Acceleration 100%
Sector Rotation 88%
Sector Strength 99%
Supply Quality 70%
Mean Reversion Risk 35%
Momentum Exhaustion 55%
LONG INJ Decision #2
Sector: Layer1 · Pump risk: Low · Crash risk: Low
Decision Score
0.816
Decision Score Mathematics

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

LONG = clamp(raw - exhaustion - crash, 0, 1)
Raw LONG Score
0.816156
Exhaustion Penalty
0.000000
After Exhaustion
0.816156
Crash Guard Penalty
0.000000
Final Selection Score
0.816156
LONG Candidate Blocked
No
Confidence Calibration
Raw Confidence: 95
Confidence Cap: 94
Final Confidence Index: 94
Calibration Samples: 55

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 0.866846 0.866846 0.269495427
Trend 0.206040 0.879476 0.879476 0.175771281
Liquidity 0.136216 1.000000 1.000000 0.132129071
Market Quality 0.076281 0.696323 0.696323 0.051522526
Risk Control 0.070178 0.830699 0.830699 0.056548088
Rank 0.057233 0.386555 0.386555 0.021460148
Relative Strength 0.057233 0.871507 0.871507 0.048382945
Trend Acceleration 0.076311 0.670500 0.670500 0.049631676
Factor Total: 0.804941163
Macro Contribution: 0.011215440
Reconstructed Raw Score: 0.816157
Historical Raw Score: 0.816156

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
✓ Controlled risk
✓ Positive sector tags
Negative Evidence
! Momentum appears extended
Momentum 87%
Trend 88%
Liquidity 100%
Market Quality 70%
Risk Control 83%
Relative Strength 87%
Trend Acceleration 67%
Sector Rotation 91%
Sector Strength 100%
Supply Quality 100%
Mean Reversion Risk 34%
Momentum Exhaustion 56%
SHORT PAXG Decision #3
Sector: Rwa · Pump risk: Low · Crash risk: Low
Decision Score
0.619
Decision Score Mathematics

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

SHORT = clamp(raw - rebound, 0, 1)
Raw SHORT Score
0.618813
Rebound Penalty
0.000000
After Rebound
0.618813
Final Selection Score
0.618813
Confidence Calibration
Raw Confidence: 99
Confidence Cap: 94
Final Confidence Index: 94
Calibration Samples: 55

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 0.506921 0.493079 0.158035343
Trend (inverted) 0.206040 0.514309 0.485691 0.100071923
Liquidity 0.136216 1.000000 1.000000 0.136215537
Market Quality 0.076281 0.743088 0.743088 0.056683273
Risk Control 0.070178 0.905116 0.905116 0.063519452
Rank 0.057233 0.621849 0.621849 0.035590544
Relative Strength (inverted) 0.057233 0.494043 0.505957 0.028957649
Trend Acceleration (inverted) 0.076311 0.479250 0.520750 0.039739071
Factor Total: 0.618812793
Reconstructed Raw Score: 0.618813
Historical Raw Score: 0.618813

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 51%
Trend 51%
Liquidity 100%
Market Quality 74%
Risk Control 91%
Relative Strength 49%
Trend Acceleration 48%
Sector Rotation 65%
Sector Strength 75%
Supply Quality 100%
Mean Reversion Risk 28%
Momentum Exhaustion 40%
Learning Audit

Factor Intelligence

Portfolio-level audit summary. Each observation represents one stored pick-factor result.
Factor Average Range Weight Records
Breadth 0.820 0.820 – 0.820 1.0000 3
Btc Relative Strength 0.748 0.347 – 1.000 1.0000 3
Depth 0.561 0.283 – 0.997 1.0000 3
Eth Relative Strength 0.742 0.337 – 1.000 1.0000 3
Extension 0.083 0.000 – 0.202 1.0000 3
Liquidity 1.000 1.000 – 1.000 1.0200 3
Macro Btc Dominance 0.692 0.692 – 0.692 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 0.784 0.696 – 0.911 0.9996 3
Mean Reversion Risk 0.322 0.279 – 0.348 1.0000 3
Momentum 0.791 0.507 – 1.000 1.0000 3
Momentum Exhaustion 0.502 0.401 – 0.555 1.0000 3
Pump Risk 0.300 0.200 – 0.500 1.0000 3
Rank 0.622 0.387 – 0.857 1.0000 3
Relative Strength 0.789 0.494 – 1.000 1.0000 3
Risk Control 0.695 0.348 – 0.905 0.9996 3
Sector Rotation 0.813 0.649 – 0.907 1.0000 3
Sector Strength 0.913 0.751 – 1.000 1.0000 3
Supply Quality 0.900 0.699 – 1.000 1.0200 3
Trend 0.792 0.514 – 0.983 1.0000 3
Trend Acceleration 0.717 0.479 – 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.