Gorgeous-Puma
0x7072b488259e183b28e96063f1062972daf9fcf7
Activity score
78/100
Performance: thin sample
Open positions
2
Open notional
$201.75
Total PnL
$2.14
Realised
$0.00
Win rate
n/a
too few closed
Largest open positions
Recent activity
- YIELD$0.013h ago
- TRADEBUYWill the highest temperature in Chengdu be 21°C or below on May 9?$102.4012h ago
- YIELD$0.011d ago
- YIELD$0.012d 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
- REWARD$1.068d ago
- REDEEMWill the highest temperature in Guangzhou be 22°C on April 30?$100.009d ago
- YIELD$0.019d ago
- TRADEBUYWill the highest temperature in Guangzhou be 22°C on April 30?$99.2110d ago
- REDEEMWill "One Battle After Another" win exactly 5 awards at the Oscars?$100.0010d 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)
- 2
- Avg trade size
- $100.81
- Top category
- —
- Category concentration
- 0%
- First seen
- 44d ago
- Last active
- 3h 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".
