Intelligent-Subgroup
0xef8054e408e8f9c9806c0186e9ea310fc6957edf
Activity score
80/100
Performance: thin sample
Open positions
2
Open notional
$198.24
Total PnL
$1.75
Realised
$0.00
Win rate
n/a
too few closed
Largest open positions
Recent activity
- YIELD$0.018h ago
- TRADEBUYWill the highest temperature in Buenos Aires be 9°C or below on May 10?$105.2018h ago
- YIELD$0.011d ago
- REDEEMWill the highest temperature in Moscow be 7°C or below on May 9?$108.701d ago
- TRADEBUYWill the highest temperature in Moscow be 7°C or below on May 9?$108.492d ago
- REDEEMWill the highest temperature in Jakarta be 29°C on May 8?$104.802d ago
- YIELD$0.012d ago
- TRADEBUYWill the highest temperature in Jakarta be 29°C on May 8?$104.703d ago
- YIELD$0.013d ago
- YIELD$0.014d ago
- YIELD$0.015d ago
- YIELD$0.016d ago
- YIELD$0.017d ago
- YIELD$0.018d ago
- YIELD$0.019d ago
- YIELD$0.0110d ago
- YIELD$0.0111d ago
- YIELD$0.0112d ago
- YIELD$0.0113d ago
- YIELD$0.0114d ago
Profile dimensions
Trade count + how recently they were active. Low = dormant.
How trustworthy the win-rate number is, based on sample size of closed markets.
Share of trades concentrated in their top category.
Share of positions taken while the market was still uncertain (30–70¢) rather than after direction was obvious.
How risky to blindly copy. Higher = riskier — large size, single-position exposure, or thin win-rate sample.
- Trades (all time)
- 3
- Avg trade size
- $106.13
- Top category
- —
- Category concentration
- 0%
- First seen
- 43d ago
- Last active
- 8h ago
- Win rate sample
- 0 closed
The single Activity score is kept for the leaderboard sort. The five dimensions above are the canonical read — copy-risk bar is inverted so green is always "better for the user".
