VADIEβ„’ Research Archive

Historical Decision Report

Official autonomous portfolio evidence retained from the VisionX AI competition record.
Portfolio #237 Competition C208 Portfolio Engine v5.6.0 SETTLED
Research Identity

VDX Daily Top Picks #20261009

Strategy: cmc_v4_daily_long_short
Submitted: 2026-10-07 00:05:02
Scored: 2026-10-10 00:10:01
Final Rank
#1
Rank reflects relative competition performance.
Final Score
3.0530%
Engine Status
LIVE
Payout
No payout recorded
Portfolio Environment

Decision Context

Market Regime
Bull
Macro Regime
Neutral
Breadth
Neutral
Confidence
High
Expected Alpha
0.843
Optimizer
0.843
Portfolio Quality
0.938
Portfolio Risk
0.793
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
0.842523
Memory Adjustment
0.000667
Expected Alpha
0.843190
Correlation Score
0.231567
Correlation Penalty
0.000000
Final Optimizer Score
0.843190

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 Intelligenceβ„’
Engine Version
v5.6.0
Engine Build
2026.07.25
Engine Mode
Long/Short Expected Alpha
Generated
2026-10-07 00:05:02
Historical Portfolio

Autonomous Decisions

Decision evidence exactly as retained when this portfolio was generated.
3 picks
LONG NEAR Decision #1
Sector: Layer1 Β· Pump risk: Low Β· Crash risk: Low
Decision Score
0.774
Decision Score Mathematics

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

LONG = clamp(raw - exhaustion - crash, 0, 1)
Raw LONG Score
0.809191
Exhaustion Penalty
0.035260
After Exhaustion
0.773931
Crash Guard Penalty
0.000000
Final Selection Score
0.773931
LONG Candidate Blocked
No
Confidence Calibration
Raw Confidence: 98
Confidence Cap: 94
Final Confidence Index: 94
Calibration Samples: 71

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 0.724890 0.724890 0.144875862
Liquidity 0.136216 1.000000 1.000000 0.132129071
Market Quality 0.076281 0.850064 0.850064 0.062898173
Risk Control 0.070178 0.626473 0.626473 0.042645832
Rank 0.057233 0.865546 0.865546 0.048052012
Relative Strength 0.057233 0.812529 0.812529 0.045108698
Trend Acceleration 0.076311 0.154500 0.154500 0.011436382
Factor Total: 0.798037963
Macro Contribution: 0.011152920
Reconstructed Raw Score: 0.809191
Historical Raw Score: 0.809191

Verified within 0.000002 rounding tolerance. Bars are relative to the largest contribution. AI scores do not represent financial returns.

Positive Evidence
βœ“ Strong momentum
βœ“ Strong trend
βœ“ High liquidity
βœ“ High market quality
βœ“ Positive sector tags
Negative Evidence
! Momentum appears extended
Momentum 100%
Trend 72%
Liquidity 100%
Market Quality 85%
Risk Control 63%
Relative Strength 81%
Trend Acceleration 15%
Sector Rotation 62%
Sector Strength 57%
Supply Quality 100%
Mean Reversion Risk 47%
Momentum Exhaustion 66%
LONG AAVE Decision #2
Sector: Defi Β· Pump risk: Low Β· Crash risk: Low
Decision Score
0.769
Decision Score Mathematics

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

LONG = clamp(raw - exhaustion - crash, 0, 1)
Raw LONG Score
0.769425
Exhaustion Penalty
0.000000
After Exhaustion
0.769425
Crash Guard Penalty
0.000000
Final Selection Score
0.769425
LONG Candidate Blocked
No
Confidence Calibration
Raw Confidence: 98
Confidence Cap: 94
Final Confidence Index: 94
Calibration Samples: 71

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 0.736964 0.736964 0.229116162
Trend 0.206040 0.741973 0.741973 0.148290055
Liquidity 0.136216 1.000000 1.000000 0.132129071
Market Quality 0.076281 0.881443 0.881443 0.065219977
Risk Control 0.070178 0.849239 0.849239 0.057810159
Rank 0.057233 0.680672 0.680672 0.037788470
Relative Strength 0.057233 0.622636 0.622636 0.034566519
Trend Acceleration 0.076311 0.720750 0.720750 0.053351276
Factor Total: 0.758271690
Macro Contribution: 0.011152920
Reconstructed Raw Score: 0.769425
Historical Raw Score: 0.769425

Verified within 0.000002 rounding tolerance. Bars are relative to the largest contribution. AI scores do not represent financial returns.

Positive Evidence
βœ“ Strong momentum
βœ“ Strong trend
βœ“ High liquidity
βœ“ High market quality
βœ“ Controlled risk
Negative Evidence
No negative factors recorded.
Momentum 74%
Trend 74%
Liquidity 100%
Market Quality 88%
Risk Control 85%
Relative Strength 62%
Trend Acceleration 72%
Sector Rotation 65%
Sector Strength 60%
Supply Quality 96%
Mean Reversion Risk 25%
Momentum Exhaustion 40%
SHORT PAXG Decision #3
Sector: Rwa Β· Pump risk: Low Β· Crash risk: Low
Decision Score
0.570
Decision Score Mathematics

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

SHORT = clamp(raw - rebound, 0, 1)
Raw SHORT Score
0.570062
Rebound Penalty
0.000000
After Rebound
0.570062
Final Selection Score
0.570062
Confidence Calibration
Raw Confidence: 99
Confidence Cap: 94
Final Confidence Index: 94
Calibration Samples: 71

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 0.488170 0.511830 0.164045173
Trend (inverted) 0.206040 0.491082 0.508918 0.104857622
Liquidity 0.136216 0.640789 0.640789 0.087285418
Market Quality 0.076281 0.646122 0.646122 0.049286639
Risk Control 0.070178 0.904759 0.904759 0.063494399
Rank 0.057233 0.596639 0.596639 0.034147690
Relative Strength (inverted) 0.057233 0.486321 0.513679 0.029399605
Trend Acceleration (inverted) 0.076311 0.508000 0.492000 0.037545123
Factor Total: 0.570061667
Reconstructed Raw Score: 0.570062
Historical Raw Score: 0.570062

Verified within 0.000002 rounding tolerance. Bars are relative to the largest contribution. AI scores do not represent financial returns.

Positive Evidence
βœ“ Controlled risk
βœ“ Positive sector tags
Negative Evidence
No negative factors recorded.
Momentum 49%
Trend 49%
Liquidity 64%
Market Quality 65%
Risk Control 90%
Relative Strength 49%
Trend Acceleration 51%
Sector Rotation 51%
Sector Strength 48%
Supply Quality 100%
Mean Reversion Risk 35%
Momentum Exhaustion 39%
Learning Audit

Factor Intelligence

Portfolio-level audit summary. Each observation represents one stored pick-factor result.
Factor Average Range Weight Records
Breadth 0.557 0.557 – 0.557 1.0000 3
Btc Relative Strength 0.522 0.470 – 0.585 1.0000 3
Depth 0.550 0.285 – 0.913 1.0000 3
Eth Relative Strength 0.540 0.488 – 0.603 1.0000 3
Extension 0.028 0.000 – 0.083 1.0000 3
Liquidity 0.880 0.641 – 1.000 1.0200 3
Macro Btc Dominance 0.692 0.692 – 0.692 1.0000 3
Macro Eth Dominance 0.242 0.242 – 0.242 1.0000 3
Macro Fear Greed 0.000 0.000 – 0.000 1.0000 3
Market Quality 0.793 0.646 – 0.881 0.9996 3
Mean Reversion Risk 0.357 0.253 – 0.468 1.0000 3
Momentum 0.742 0.488 – 1.000 1.0000 3
Momentum Exhaustion 0.483 0.389 – 0.665 1.0000 3
Pump Risk 0.200 0.200 – 0.200 1.0000 3
Rank 0.714 0.597 – 0.866 1.0000 3
Relative Strength 0.640 0.486 – 0.813 1.0000 3
Risk Control 0.793 0.626 – 0.905 0.9996 3
Sector Rotation 0.595 0.508 – 0.654 1.0000 3
Sector Strength 0.551 0.483 – 0.602 1.0000 3
Supply Quality 0.988 0.965 – 1.000 1.0200 3
Trend 0.653 0.491 – 0.742 1.0000 3
Trend Acceleration 0.461 0.155 – 0.721 1.0000 3
Outcome Intelligence

Failure Attribution

Post-competition attribution retained by the learning engine.
NEAR Β· LONG WIN
Primary Cause: Winning Setup
Secondary Cause: No secondary cause identified
Position Return: +9.8958%
Attribution Confidence: 35%
AAVE Β· LONG WIN
Primary Cause: Winning Setup
Secondary Cause: No secondary cause identified
Position Return: +0.2575%
Attribution Confidence: 35%
PAXG Β· SHORT LOSS
Primary Cause: Mixed
Secondary Cause: No secondary cause identified
Position Return: -0.9943%
Attribution Confidence: 30%
Research output only. This report displays historical metadata retained at portfolio generation and official competition outcome data. Missing information is not reconstructed retroactively.