VADIEβ’ Research Archive
Historical Decision Report
Official autonomous portfolio evidence retained from
the VisionX AI competition record.
Portfolio #200
Competition C171
Portfolio Engine v5.6.0
SETTLED
Research Identity
VDX Daily Top Picks #20260908
Strategy:
cmc_v4_daily_long_short
Submitted:
2026-09-06 00:05:02
Scored:
2026-09-09 00:15:01
Final Rank
#1
Rank reflects relative competition performance.
Final Score
-2.7700%
Engine Status
LIVE
Payout
No payout recorded
Portfolio Environment
Decision Context
Market Regime
Bull
Macro Regime
Neutral
Breadth
Strong
Confidence
High
Expected Alpha
0.827
Optimizer
0.827
Portfolio Quality
0.924
Portfolio Risk
0.748
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
2026-09-06 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
0.853
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
97%
Liquidity
100%
Market Quality
91%
Risk Control
53%
Relative Strength
100%
Trend Acceleration
0%
Sector Rotation
70%
Sector Strength
65%
Supply Quality
70%
Mean Reversion Risk
35%
Momentum Exhaustion
67%
LONG
LTC
Decision #2
Sector:
Layer1 Β· Pump risk:
Low Β· Crash risk:
Low
Decision Score
0.736
Positive Evidence
β High liquidity
β High market quality
β Controlled risk
β Positive sector tags
Negative Evidence
No negative factors recorded.
Momentum
67%
Trend
68%
Liquidity
100%
Market Quality
94%
Risk Control
81%
Relative Strength
68%
Trend Acceleration
55%
Sector Rotation
68%
Sector Strength
64%
Supply Quality
92%
Mean Reversion Risk
21%
Momentum Exhaustion
40%
SHORT
INJ
Decision #3
Sector:
Layer1 Β· Pump risk:
Low Β· Crash risk:
Low
Decision Score
0.587
Positive Evidence
β High liquidity
β Controlled risk
β Positive sector tags
Negative Evidence
No negative factors recorded.
Momentum
51%
Trend
51%
Liquidity
86%
Market Quality
63%
Risk Control
90%
Relative Strength
52%
Trend Acceleration
23%
Sector Rotation
68%
Sector Strength
64%
Supply Quality
100%
Mean Reversion Risk
30%
Momentum Exhaustion
43%
Learning Audit
Factor Intelligence
Portfolio-level audit summary. Each observation
represents one stored pick-factor result.
| Factor | Average | Range | Weight | Records |
|---|---|---|---|---|
| Breadth | 0.806 | 0.806 β 0.806 | 1.0000 | 3 |
| Btc Relative Strength | 0.683 | 0.419 β 1.000 | 1.0000 | 3 |
| Depth | 0.796 | 0.396 β 1.000 | 1.0000 | 3 |
| Eth Relative Strength | 0.691 | 0.431 β 1.000 | 1.0000 | 3 |
| Extension | 0.029 | 0.000 β 0.086 | 1.0000 | 3 |
| Liquidity | 0.955 | 0.864 β 1.000 | 1.0200 | 3 |
| Macro Btc Dominance | 0.699 | 0.699 β 0.699 | 1.0000 | 3 |
| Macro Eth Dominance | 0.235 | 0.235 β 0.235 | 1.0000 | 3 |
| Macro Fear Greed | 0.000 | 0.000 β 0.000 | 1.0000 | 3 |
| Market Quality | 0.823 | 0.626 β 0.936 | 0.9996 | 3 |
| Mean Reversion Risk | 0.288 | 0.211 β 0.354 | 1.0000 | 3 |
| Momentum | 0.728 | 0.514 β 1.000 | 1.0000 | 3 |
| Momentum Exhaustion | 0.503 | 0.404 β 0.672 | 1.0000 | 3 |
| Pump Risk | 0.200 | 0.200 β 0.200 | 1.0000 | 3 |
| Rank | 0.647 | 0.269 β 0.849 | 1.0000 | 3 |
| Relative Strength | 0.732 | 0.521 β 1.000 | 1.0000 | 3 |
| Risk Control | 0.748 | 0.526 β 0.903 | 0.9996 | 3 |
| Sector Rotation | 0.686 | 0.680 β 0.699 | 1.0000 | 3 |
| Sector Strength | 0.641 | 0.636 β 0.650 | 1.0000 | 3 |
| Supply Quality | 0.874 | 0.700 β 1.000 | 1.0200 | 3 |
| Trend | 0.721 | 0.512 β 0.972 | 1.0000 | 3 |
| Trend Acceleration | 0.261 | 0.000 β 0.552 | 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.