VADIE™ Research Archive

Historical Decision Report

Official autonomous portfolio evidence retained from the VisionX AI competition record.
Portfolio #184 Competition C155 Portfolio Engine v5.6.0 COMPLETED
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Research Identity

VDX Daily Top Picks #20260826

Strategy: cmc_v4_daily_long_short
Submitted: 2026-08-24 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
Bull
Macro Regime
Neutral
Breadth
Strong
Confidence
High
Expected Alpha
0.815
Optimizer
0.815
Portfolio Quality
0.886
Portfolio Risk
0.620
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
0.810532
Memory Adjustment
0.004000
Expected Alpha
0.814532
Correlation Score
0.416783
Correlation Penalty
0.000000
Final Optimizer Score
0.814532

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
0.804
Decision Score Mathematics

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

LONG = clamp(raw - exhaustion - crash, 0, 1)
Raw LONG Score
0.854910
Exhaustion Penalty
0.050992
After Exhaustion
0.803918
Crash Guard Penalty
0.000000
Final Selection Score
0.803918
LONG Candidate Blocked
No
Confidence Calibration
Raw Confidence: 98
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 0.320507 1.000000 1.000000 0.310891932
Trend 0.206040 1.000000 1.000000 0.199859099
Liquidity 0.136216 1.000000 1.000000 0.132129071
Market Quality 0.076281 0.829706 0.829706 0.061391838
Risk Control 0.070178 0.273048 0.273048 0.018587168
Rank 0.057233 0.915966 0.915966 0.050851150
Relative Strength 0.057233 1.000000 1.000000 0.055516416
Trend Acceleration 0.076311 0.196000 0.196000 0.014508290
Factor Total: 0.843734965
Macro Contribution: 0.011174940
Reconstructed Raw Score: 0.854910
Historical Raw Score: 0.854910

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 DASH Decision #2
Sector: Other · Pump risk: Low · Crash risk: Low
Decision Score
0.733
Decision Score Mathematics

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

LONG = clamp(raw - exhaustion - crash, 0, 1)
Raw LONG Score
0.732783
Exhaustion Penalty
0.000000
After Exhaustion
0.732783
Crash Guard Penalty
0.000000
Final Selection Score
0.732783
LONG Candidate Blocked
No
Confidence Calibration
Raw Confidence: 95
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 0.320507 0.752886 0.752886 0.234066183
Trend 0.206040 0.733750 0.733750 0.146646614
Liquidity 0.136216 1.000000 1.000000 0.132129071
Market Quality 0.076281 0.631884 0.631884 0.046754538
Risk Control 0.070178 0.769876 0.769876 0.052407690
Rank 0.057233 0.344538 0.344538 0.019127515
Relative Strength 0.057233 0.820064 0.820064 0.045527014
Trend Acceleration 0.076311 0.607250 0.607250 0.044949792
Factor Total: 0.721608417
Macro Contribution: 0.011174940
Reconstructed Raw Score: 0.732783
Historical Raw Score: 0.732783

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
No negative factors recorded.
Momentum 75%
Trend 73%
Liquidity 100%
Market Quality 63%
Risk Control 77%
Relative Strength 82%
Trend Acceleration 61%
Sector Rotation 80%
Sector Strength 86%
Supply Quality 68%
Mean Reversion Risk 31%
Momentum Exhaustion 52%
SHORT FTM Decision #3
Sector: Defi · Pump risk: Low · Crash risk: Low
Decision Score
0.694
Decision Score Mathematics

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

SHORT = clamp(raw - rebound, 0, 1)
Raw SHORT Score
0.693899
Rebound Penalty
0.000000
After Rebound
0.693899
Final Selection Score
0.693899
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) 0.320507 0.365596 0.634404 0.203331016
Trend (inverted) 0.206040 0.383471 0.616529 0.127029825
Liquidity 0.136216 1.000000 1.000000 0.136215537
Market Quality 0.076281 0.731195 0.731195 0.055776067
Risk Control 0.070178 0.816927 0.816927 0.057330503
Rank 0.057233 0.495798 0.495798 0.028376215
Relative Strength (inverted) 0.057233 0.317521 0.682479 0.039060607
Trend Acceleration (inverted) 0.076311 0.387000 0.613000 0.046778781
Factor Total: 0.693898550
Reconstructed Raw Score: 0.693899
Historical Raw Score: 0.693899

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 0.658 0.249 – 1.000 1.0000 3
Depth 0.436 0.384 – 0.500 1.0000 3
Eth Relative Strength 0.594 0.153 – 1.000 1.0000 3
Extension 0.067 0.000 – 0.175 1.0000 3
Liquidity 1.000 1.000 – 1.000 1.0200 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 0.731 0.632 – 0.830 0.9996 3
Mean Reversion Risk 0.348 0.211 – 0.520 1.0000 3
Momentum 0.706 0.366 – 1.000 1.0000 3
Momentum Exhaustion 0.518 0.315 – 0.722 1.0000 3
Pump Risk 0.300 0.200 – 0.500 1.0000 3
Rank 0.585 0.345 – 0.916 1.0000 3
Relative Strength 0.713 0.318 – 1.000 1.0000 3
Risk Control 0.620 0.273 – 0.817 0.9996 3
Sector Rotation 0.846 0.797 – 0.888 1.0000 3
Sector Strength 0.941 0.856 – 0.991 1.0000 3
Supply Quality 0.788 0.678 – 0.883 1.0200 3
Trend 0.706 0.383 – 1.000 1.0000 3
Trend Acceleration 0.397 0.196 – 0.607 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.