VADIEβ’ Research Archive
Historical Decision Report
Official autonomous portfolio evidence retained from
the VisionX AI competition record.
Portfolio #217
Competition C188
Portfolio Engine v5.6.0
SETTLED
Research Identity
VDX Daily Top Picks #20260923
Strategy:
cmc_v4_daily_long_short
Submitted:
2026-09-21 00:05:02
Scored:
2026-09-24 00:20:01
Final Rank
#1
Rank reflects relative competition performance.
Final Score
-4.4017%
Engine Status
LIVE
Payout
No payout recorded
Portfolio Environment
Decision Context
Market Regime
Bull
Macro Regime
Neutral
Breadth
Strong
Confidence
High
Expected Alpha
0.847
Optimizer
0.847
Portfolio Quality
0.899
Portfolio Risk
0.663
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
2026-09-21 00:05:02
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
0.860
Positive Evidence
β Strong momentum
β Strong trend
β High liquidity
β High market quality
β Positive sector tags
Negative Evidence
! Momentum appears extended
Momentum
100%
Trend
87%
Liquidity
100%
Market Quality
91%
Risk Control
70%
Relative Strength
100%
Trend Acceleration
18%
Sector Rotation
72%
Sector Strength
76%
Supply Quality
70%
Mean Reversion Risk
34%
Momentum Exhaustion
65%
LONG
AVAX
Decision #2
Sector:
Layer1 Β· Pump risk:
Low Β· Crash risk:
Low
Decision Score
0.823
Positive Evidence
β Strong momentum
β Strong trend
β High liquidity
β High market quality
β Positive sector tags
Negative Evidence
! Momentum appears extended
Momentum
96%
Trend
98%
Liquidity
100%
Market Quality
84%
Risk Control
51%
Relative Strength
98%
Trend Acceleration
7%
Sector Rotation
77%
Sector Strength
82%
Supply Quality
62%
Mean Reversion Risk
41%
Momentum Exhaustion
67%
SHORT
BONK
Decision #3
Sector:
Layer2 Β· Pump risk:
Low Β· Crash risk:
Low
Decision Score
0.574
Positive Evidence
β High liquidity
β Controlled risk
β Positive sector tags
Negative Evidence
! Risk sector tags
Momentum
51%
Trend
50%
Liquidity
100%
Market Quality
59%
Risk Control
78%
Relative Strength
55%
Trend Acceleration
32%
Sector Rotation
74%
Sector Strength
73%
Supply Quality
99%
Mean Reversion Risk
27%
Momentum Exhaustion
41%
Learning Audit
Factor Intelligence
Portfolio-level audit summary. Each observation
represents one stored pick-factor result.
| Factor | Average | Range | Weight | Records |
|---|---|---|---|---|
| Breadth | 0.699 | 0.699 β 0.699 | 1.0000 | 3 |
| Btc Relative Strength | 0.843 | 0.571 β 1.000 | 1.0000 | 3 |
| Depth | 0.768 | 0.562 β 0.997 | 1.0000 | 3 |
| Eth Relative Strength | 0.835 | 0.559 β 1.000 | 1.0000 | 3 |
| Extension | 0.062 | 0.000 β 0.095 | 1.0000 | 3 |
| Liquidity | 1.000 | 1.000 β 1.000 | 1.0200 | 3 |
| Macro Btc Dominance | 0.680 | 0.680 β 0.680 | 1.0000 | 3 |
| Macro Eth Dominance | 0.257 | 0.257 β 0.257 | 1.0000 | 3 |
| Macro Fear Greed | 0.000 | 0.000 β 0.000 | 1.0000 | 3 |
| Market Quality | 0.782 | 0.588 β 0.914 | 0.9996 | 3 |
| Mean Reversion Risk | 0.340 | 0.273 β 0.410 | 1.0000 | 3 |
| Momentum | 0.825 | 0.513 β 1.000 | 1.0000 | 3 |
| Momentum Exhaustion | 0.576 | 0.409 β 0.672 | 1.0000 | 3 |
| Pump Risk | 0.200 | 0.200 β 0.200 | 1.0000 | 3 |
| Rank | 0.571 | 0.008 β 0.866 | 1.0000 | 3 |
| Relative Strength | 0.842 | 0.545 β 1.000 | 1.0000 | 3 |
| Risk Control | 0.663 | 0.512 β 0.780 | 0.9996 | 3 |
| Sector Rotation | 0.744 | 0.724 β 0.767 | 1.0000 | 3 |
| Sector Strength | 0.773 | 0.731 β 0.825 | 1.0000 | 3 |
| Supply Quality | 0.769 | 0.619 β 0.990 | 1.0200 | 3 |
| Trend | 0.782 | 0.499 β 0.976 | 1.0000 | 3 |
| Trend Acceleration | 0.189 | 0.073 β 0.318 | 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.