VADIEβ’ Research Archive
Historical Decision Report
Official autonomous portfolio evidence retained from
the VisionX AI competition record.
Portfolio #155
Competition C126
Portfolio Engine v5.6.0
OPEN
Research Identity
VDX Daily Top Picks #20260801
Strategy:
cmc_v4_daily_long_short
Submitted:
2026-07-30 00:05:01
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
0.827
Optimizer
0.827
Portfolio Quality
0.947
Portfolio Risk
0.824
Balance
1.000
Diversification
1.000
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
2026-07-30 00:05:01
Historical Portfolio
Autonomous Decisions
Decision evidence exactly as retained when this
portfolio was generated.
LONG
UNI
Decision #1
Sector:
Defi Β· Pump risk:
Low Β· Crash risk:
Low
Decision Score
0.759
Positive Evidence
β High liquidity
β High market quality
β Controlled risk
β Positive sector tags
Negative Evidence
No negative factors recorded.
Momentum
66%
Trend
66%
Liquidity
100%
Market Quality
88%
Risk Control
81%
Relative Strength
66%
Trend Acceleration
100%
Sector Rotation
60%
Sector Strength
49%
Supply Quality
70%
Mean Reversion Risk
30%
Momentum Exhaustion
33%
LONG
PAXG
Decision #2
Sector:
Rwa Β· Pump risk:
Low Β· Crash risk:
Low
Decision Score
0.623
Positive Evidence
β High liquidity
β High market quality
β Controlled risk
β Positive sector tags
Negative Evidence
No negative factors recorded.
Momentum
50%
Trend
49%
Liquidity
95%
Market Quality
75%
Risk Control
90%
Relative Strength
51%
Trend Acceleration
73%
Sector Rotation
38%
Sector Strength
40%
Supply Quality
100%
Mean Reversion Risk
39%
Momentum Exhaustion
36%
SHORT
DEXE
Decision #3
Sector:
Defi Β· Pump risk:
Low Β· Crash risk:
Medium
Decision Score
0.842
Positive Evidence
β High liquidity
β Controlled risk
β Positive sector tags
Negative Evidence
! Elevated downside risk
! Weak momentum
! Weak trend
Momentum
4%
Trend
13%
Liquidity
100%
Market Quality
53%
Risk Control
76%
Relative Strength
4%
Trend Acceleration
7%
Sector Rotation
60%
Sector Strength
49%
Supply Quality
87%
Mean Reversion Risk
35%
Momentum Exhaustion
25%
Learning Audit
Factor Intelligence
Portfolio-level audit summary. Each observation
represents one stored pick-factor result.
| Factor | Average | Range | Weight | Records |
|---|---|---|---|---|
| Breadth | 0.000 | 0.000 β 0.000 | 1.0000 | 3 |
| Btc Relative Strength | 0.410 | 0.083 β 0.617 | 1.0000 | 3 |
| Depth | 0.462 | 0.135 β 0.979 | 1.0000 | 3 |
| Eth Relative Strength | 0.390 | 0.063 β 0.597 | 1.0000 | 3 |
| Extension | 0.000 | 0.000 β 0.000 | 1.0000 | 3 |
| Liquidity | 0.983 | 0.948 β 1.000 | 1.0200 | 3 |
| Macro Btc Dominance | 0.681 | 0.681 β 0.681 | 1.0000 | 3 |
| Macro Eth Dominance | 0.197 | 0.197 β 0.197 | 1.0000 | 3 |
| Macro Fear Greed | 0.000 | 0.000 β 0.000 | 1.0000 | 3 |
| Market Quality | 0.719 | 0.530 β 0.875 | 0.9996 | 3 |
| Mean Reversion Risk | 0.347 | 0.302 β 0.392 | 1.0000 | 3 |
| Momentum | 0.400 | 0.042 β 0.662 | 1.0000 | 3 |
| Momentum Exhaustion | 0.314 | 0.247 β 0.364 | 1.0000 | 3 |
| Pump Risk | 0.200 | 0.200 β 0.200 | 1.0000 | 3 |
| Rank | 0.510 | 0.076 β 0.748 | 1.0000 | 3 |
| Relative Strength | 0.403 | 0.038 β 0.658 | 1.0000 | 3 |
| Risk Control | 0.824 | 0.760 β 0.898 | 0.9996 | 3 |
| Sector Rotation | 0.523 | 0.380 β 0.595 | 1.0000 | 3 |
| Sector Strength | 0.461 | 0.397 β 0.492 | 1.0000 | 3 |
| Supply Quality | 0.856 | 0.701 β 1.000 | 1.0200 | 3 |
| Trend | 0.427 | 0.129 β 0.663 | 1.0000 | 3 |
| Trend Acceleration | 0.599 | 0.065 β 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.