VADIEβ„’ Research Archive

Historical Decision Report

Official autonomous portfolio evidence retained from the VisionX AI competition record.
Portfolio #255 Competition C226 Portfolio Engine v5.6.0 OPEN
Research Identity

VDX Daily Top Picks #20261025

Strategy: cmc_v4_daily_long_short
Submitted: 2026-10-23 00:05:02
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
Neutral
Macro Regime
Neutral
Breadth
Weak
Confidence
High
Expected Alpha
0.834
Optimizer
0.834
Portfolio Quality
0.950
Portfolio Risk
0.833
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
0.833151
Memory Adjustment
0.000667
Expected Alpha
0.833818
Correlation Score
0.302417
Correlation Penalty
0.000000
Final Optimizer Score
0.833818

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
2026-10-23 00:05:01
Historical Portfolio

Autonomous Decisions

Decision evidence exactly as retained when this portfolio was generated.
3 picks
LONG BAT Decision #1
Sector: Defi Β· Pump risk: Low Β· Crash risk: Low
Decision Score
0.703
Decision Score Mathematics

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

LONG = clamp(raw - exhaustion - crash, 0, 1)
Raw LONG Score
0.712956
Exhaustion Penalty
0.009497
After Exhaustion
0.703459
Crash Guard Penalty
0.000000
Final Selection Score
0.703459
LONG Candidate Blocked
No
Confidence Calibration
Raw Confidence: 99
Confidence Cap: 94
Final Confidence Index: 94
Calibration Samples: 88

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 0.776404 0.776404 0.225317096
Trend 0.199454 0.627133 0.627133 0.121331838
Liquidity 0.142410 1.000000 1.000000 0.138138054
Market Quality 0.079750 0.585935 0.585935 0.045326356
Risk Control 0.079750 0.811717 0.811717 0.062792244
Rank 0.059836 0.025210 0.025210 0.001463219
Relative Strength 0.059836 0.608793 0.608793 0.035335076
Trend Acceleration 0.079782 0.929750 0.929750 0.071951740
Factor Total: 0.701655623
Macro Contribution: 0.011300700
Reconstructed Raw Score: 0.712956
Historical Raw Score: 0.712956

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“ High liquidity
βœ“ Controlled risk
βœ“ Positive sector tags
Negative Evidence
No negative factors recorded.
Momentum 78%
Trend 63%
Liquidity 100%
Market Quality 59%
Risk Control 81%
Relative Strength 61%
Trend Acceleration 93%
Sector Rotation 40%
Sector Strength 41%
Supply Quality 100%
Mean Reversion Risk 38%
Momentum Exhaustion 43%
LONG DASH Decision #2
Sector: Other Β· Pump risk: Low Β· Crash risk: Low
Decision Score
0.672
Decision Score Mathematics

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

LONG = clamp(raw - exhaustion - crash, 0, 1)
Raw LONG Score
0.672258
Exhaustion Penalty
0.000000
After Exhaustion
0.672258
Crash Guard Penalty
0.000000
Final Selection Score
0.672258
LONG Candidate Blocked
No
Confidence Calibration
Raw Confidence: 98
Confidence Cap: 94
Final Confidence Index: 94
Calibration Samples: 88

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 0.568647 0.568647 0.165024769
Trend 0.199454 0.606940 0.606940 0.117425085
Liquidity 0.142410 1.000000 1.000000 0.138138054
Market Quality 0.079750 0.643500 0.643500 0.049779429
Risk Control 0.079750 0.798076 0.798076 0.061737013
Rank 0.059836 0.378151 0.378151 0.021948338
Relative Strength 0.059836 0.508543 0.508543 0.029516446
Trend Acceleration 0.079782 1.000000 1.000000 0.077388266
Factor Total: 0.660957399
Macro Contribution: 0.011300700
Reconstructed Raw Score: 0.672258
Historical Raw Score: 0.672258

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

Positive Evidence
βœ“ High liquidity
βœ“ Controlled risk
βœ“ Positive sector tags
Negative Evidence
No negative factors recorded.
Momentum 57%
Trend 61%
Liquidity 100%
Market Quality 64%
Risk Control 80%
Relative Strength 51%
Trend Acceleration 100%
Sector Rotation 40%
Sector Strength 41%
Supply Quality 68%
Mean Reversion Risk 34%
Momentum Exhaustion 33%
SHORT PAXG Decision #3
Sector: Rwa Β· Pump risk: Low Β· Crash risk: Low
Decision Score
0.658
Decision Score Mathematics

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

SHORT = clamp(raw - rebound, 0, 1)
Raw SHORT Score
0.657799
Rebound Penalty
0.000000
After Rebound
0.657799
Final Selection Score
0.657799
Confidence Calibration
Raw Confidence: 99
Confidence Cap: 94
Final Confidence Index: 94
Calibration Samples: 88

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 0.450743 0.549257 0.164327500
Trend (inverted) 0.199454 0.450328 0.549672 0.109634440
Liquidity 0.142410 1.000000 1.000000 0.142410365
Market Quality 0.079750 0.741500 0.741500 0.059134480
Risk Control 0.079750 0.890491 0.890491 0.071016483
Rank 0.059836 0.613445 0.613445 0.036706272
Relative Strength (inverted) 0.059836 0.449114 0.550886 0.032962973
Trend Acceleration (inverted) 0.079782 0.478500 0.521500 0.041606166
Factor Total: 0.657798679
Reconstructed Raw Score: 0.657799
Historical Raw Score: 0.657799

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

Positive Evidence
βœ“ High liquidity
βœ“ High market quality
βœ“ Controlled risk
βœ“ Positive sector tags
Negative Evidence
No negative factors recorded.
Momentum 45%
Trend 45%
Liquidity 100%
Market Quality 74%
Risk Control 89%
Relative Strength 45%
Trend Acceleration 48%
Sector Rotation 40%
Sector Strength 40%
Supply Quality 100%
Mean Reversion Risk 37%
Momentum Exhaustion 37%
Learning Audit

Factor Intelligence

Portfolio-level audit summary. Each observation represents one stored pick-factor result.
Factor Average Range Weight Records
Breadth 0.147 0.147 – 0.147 1.0000 3
Btc Relative Strength 0.443 0.246 – 0.607 1.0000 3
Depth 0.357 0.287 – 0.394 1.0000 3
Eth Relative Strength 0.459 0.262 – 0.623 1.0000 3
Extension 0.004 0.000 – 0.013 1.0000 3
Liquidity 1.000 1.000 – 1.000 1.0200 3
Macro Btc Dominance 0.722 0.722 – 0.722 1.0000 3
Macro Eth Dominance 0.208 0.208 – 0.208 1.0000 3
Macro Fear Greed 0.000 0.000 – 0.000 1.0000 3
Market Quality 0.657 0.586 – 0.742 0.9996 3
Mean Reversion Risk 0.363 0.339 – 0.382 1.0000 3
Momentum 0.599 0.451 – 0.776 1.0000 3
Momentum Exhaustion 0.379 0.333 – 0.429 1.0000 3
Pump Risk 0.200 0.200 – 0.200 1.0000 3
Rank 0.339 0.025 – 0.613 1.0000 3
Relative Strength 0.522 0.449 – 0.609 1.0000 3
Risk Control 0.833 0.798 – 0.890 0.9996 3
Sector Rotation 0.399 0.397 – 0.404 1.0000 3
Sector Strength 0.408 0.404 – 0.411 1.0000 3
Supply Quality 0.893 0.681 – 1.000 1.0200 3
Trend 0.561 0.450 – 0.627 1.0000 3
Trend Acceleration 0.803 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.