VADIEβ’ Research Archive
Historical Decision Report
Official autonomous portfolio evidence retained from
the VisionX AI competition record.
Portfolio #157
Competition C128
Portfolio Engine v5.6.0
SETTLED
Research Identity
VDX Daily Top Picks #20260803
Strategy:
cmc_v4_daily_long_short
Submitted:
2026-08-01 00:05:01
Scored:
2026-08-17 02:10:01
Final Rank
#1
Rank reflects relative competition performance.
Final Score
-0.6985%
Engine Status
LIVE
Payout
No payout recorded
Portfolio Environment
Decision Context
Market Regime
Neutral
Macro Regime
Neutral
Breadth
Weak
Confidence
High
Expected Alpha
0.808
Optimizer
0.808
Portfolio Quality
0.930
Portfolio Risk
0.767
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
2026-08-01 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
0.764
Positive Evidence
β Strong momentum
β Strong trend
β High liquidity
β High market quality
β Controlled risk
Negative Evidence
No negative factors recorded.
Momentum
73%
Trend
72%
Liquidity
100%
Market Quality
88%
Risk Control
80%
Relative Strength
73%
Trend Acceleration
63%
Sector Rotation
60%
Sector Strength
49%
Supply Quality
70%
Mean Reversion Risk
34%
Momentum Exhaustion
42%
LONG
PEPE
Decision #2
Sector:
Meme Β· Pump risk:
Low Β· Crash risk:
Low
Decision Score
0.627
Positive Evidence
β High liquidity
β High market quality
β Controlled risk
β Positive sector tags
Negative Evidence
! Risk sector tags
Momentum
51%
Trend
49%
Liquidity
100%
Market Quality
74%
Risk Control
77%
Relative Strength
56%
Trend Acceleration
73%
Sector Rotation
34%
Sector Strength
35%
Supply Quality
100%
Mean Reversion Risk
37%
Momentum Exhaustion
36%
SHORT
DEXE
Decision #3
Sector:
Defi Β· Pump risk:
Low Β· Crash risk:
Medium
Decision Score
0.707
Positive Evidence
β High liquidity
β Controlled risk
β Positive sector tags
Negative Evidence
! Elevated downside risk
! Weak momentum
! Weak trend
Momentum
14%
Trend
23%
Liquidity
100%
Market Quality
52%
Risk Control
74%
Relative Strength
16%
Trend Acceleration
100%
Sector Rotation
60%
Sector Strength
49%
Supply Quality
87%
Mean Reversion Risk
31%
Momentum Exhaustion
16%
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 | 0.469 | 0.146 β 0.715 | 1.0000 | 3 |
| Depth | 0.524 | 0.137 β 0.980 | 1.0000 | 3 |
| Eth Relative Strength | 0.443 | 0.120 β 0.689 | 1.0000 | 3 |
| Extension | 0.000 | 0.000 β 0.000 | 1.0000 | 3 |
| Liquidity | 1.000 | 1.000 β 1.000 | 1.0200 | 3 |
| Macro Btc Dominance | 0.674 | 0.674 β 0.674 | 1.0000 | 3 |
| Macro Eth Dominance | 0.191 | 0.191 β 0.191 | 1.0000 | 3 |
| Macro Fear Greed | 0.000 | 0.000 β 0.000 | 1.0000 | 3 |
| Market Quality | 0.713 | 0.523 β 0.880 | 0.9996 | 3 |
| Mean Reversion Risk | 0.339 | 0.308 β 0.367 | 1.0000 | 3 |
| Momentum | 0.459 | 0.137 β 0.726 | 1.0000 | 3 |
| Momentum Exhaustion | 0.313 | 0.159 β 0.420 | 1.0000 | 3 |
| Pump Risk | 0.200 | 0.200 β 0.200 | 1.0000 | 3 |
| Rank | 0.471 | 0.050 β 0.765 | 1.0000 | 3 |
| Relative Strength | 0.481 | 0.156 β 0.726 | 1.0000 | 3 |
| Risk Control | 0.767 | 0.735 β 0.796 | 0.9996 | 3 |
| Sector Rotation | 0.511 | 0.344 β 0.595 | 1.0000 | 3 |
| Sector Strength | 0.444 | 0.347 β 0.492 | 1.0000 | 3 |
| Supply Quality | 0.856 | 0.700 β 1.000 | 1.0200 | 3 |
| Trend | 0.480 | 0.232 β 0.720 | 1.0000 | 3 |
| Trend Acceleration | 0.789 | 0.634 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.