VADIEβ’ Research Archive
Historical Decision Report
Official autonomous portfolio evidence retained from
the VisionX AI competition record.
Portfolio #153
Competition C124
Portfolio Engine v5.6.0
LIVE
Research Identity
VDX Daily Top Picks #20260730
Strategy:
cmc_v4_daily_long_short
Submitted:
2026-07-28 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
0.793
Optimizer
0.793
Portfolio Quality
0.930
Portfolio Risk
0.768
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
2026-07-28 00:05:02
Historical Portfolio
Autonomous Decisions
Decision evidence exactly as retained when this
portfolio was generated.
LONG
LDO
Decision #1
Sector:
Defi Β· Pump risk:
Low Β· Crash risk:
Low
Decision Score
0.623
Positive Evidence
β High liquidity
β Controlled risk
β Positive sector tags
Negative Evidence
No negative factors recorded.
Momentum
65%
Trend
63%
Liquidity
100%
Market Quality
63%
Risk Control
85%
Relative Strength
68%
Trend Acceleration
28%
Sector Rotation
60%
Sector Strength
49%
Supply Quality
84%
Mean Reversion Risk
43%
Momentum Exhaustion
50%
LONG
PAXG
Decision #2
Sector:
Rwa Β· Pump risk:
Low Β· Crash risk:
Low
Decision Score
0.564
Positive Evidence
β High liquidity
β High market quality
β Controlled risk
β Positive sector tags
Negative Evidence
No negative factors recorded.
Momentum
49%
Trend
48%
Liquidity
79%
Market Quality
71%
Risk Control
91%
Relative Strength
51%
Trend Acceleration
47%
Sector Rotation
38%
Sector Strength
40%
Supply Quality
100%
Mean Reversion Risk
42%
Momentum Exhaustion
40%
SHORT
DEXE
Decision #3
Sector:
Defi Β· Pump risk:
Low Β· Crash risk:
Extreme
Decision Score
0.733
Positive Evidence
β High liquidity
β Positive sector tags
Negative Evidence
! Extreme crash risk
! Elevated short rebound risk
! Weak momentum
! Weak trend
Momentum
0%
Trend
0%
Liquidity
100%
Market Quality
52%
Risk Control
55%
Relative Strength
0%
Trend Acceleration
70%
Sector Rotation
60%
Sector Strength
49%
Supply Quality
87%
Mean Reversion Risk
30%
Momentum Exhaustion
13%
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 | 0.359 | 0.000 β 0.545 | 1.0000 | 3 |
| Depth | 0.277 | 0.135 β 0.425 | 1.0000 | 3 |
| Eth Relative Strength | 0.346 | 0.000 β 0.525 | 1.0000 | 3 |
| Extension | 0.000 | 0.000 β 0.000 | 1.0000 | 3 |
| Liquidity | 0.931 | 0.792 β 1.000 | 1.0200 | 3 |
| Macro Btc Dominance | 0.681 | 0.681 β 0.681 | 1.0000 | 3 |
| Macro Eth Dominance | 0.194 | 0.194 β 0.194 | 1.0000 | 3 |
| Macro Fear Greed | 0.000 | 0.000 β 0.000 | 1.0000 | 3 |
| Market Quality | 0.620 | 0.522 β 0.712 | 0.9996 | 3 |
| Mean Reversion Risk | 0.383 | 0.295 β 0.431 | 1.0000 | 3 |
| Momentum | 0.380 | 0.000 β 0.650 | 1.0000 | 3 |
| Momentum Exhaustion | 0.343 | 0.131 β 0.496 | 1.0000 | 3 |
| Pump Risk | 0.200 | 0.200 β 0.200 | 1.0000 | 3 |
| Rank | 0.322 | 0.050 β 0.697 | 1.0000 | 3 |
| Relative Strength | 0.395 | 0.000 β 0.679 | 1.0000 | 3 |
| Risk Control | 0.768 | 0.548 β 0.907 | 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 | 0.901 | 0.836 β 1.000 | 1.0200 | 3 |
| Trend | 0.371 | 0.000 β 0.629 | 1.0000 | 3 |
| Trend Acceleration | 0.484 | 0.281 β 0.705 | 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.