Clumsy-Pita
0xeb09bf09a5300c6810322a8a5ec8d602e4714e3b
Activity score
85/100
Performance: thin sample
Open positions
1
Open notional
$105.41
Total PnL
$0.41
Realised
$0.00
Win rate
n/a
too few closed
Largest open positions
Recent activity
- TRADEBUYWill the highest temperature in New York City be between 62-63°F on May 4?$105.021d ago
- REDEEMWill the highest temperature in Munich be 16°C on May 1?$104.423d ago
- TRADEBUYWill the highest temperature in Munich be 16°C on May 1?$104.024d ago
- REDEEMWill the highest temperature in Hong Kong be 21°C on April 25?$104.694d ago
- TRADEBUYWill the highest temperature in Hong Kong be 21°C on April 25?$104.2611d ago
- REDEEMWill the lowest temperature in New York City be between 54-55°F on April 23?$104.2611d ago
- TRADEBUYWill the lowest temperature in New York City be between 54-55°F on April 23?$103.8712d ago
- REDEEMWill the highest temperature in Paris be 20°C or higher on April 21?$103.8712d ago
- TRADEBUYWill the highest temperature in Paris be 20°C or higher on April 21?$103.4814d ago
- REDEEMWill the highest temperature in Jeddah be 31°C on April 19?$103.4714d ago
- TRADEBUYWill the highest temperature in Jeddah be 31°C on April 19?$103.1216d ago
- REDEEMWill the highest temperature in Warsaw be 9°C on April 17?$103.1216d ago
- TRADEBUYWill the highest temperature in Warsaw be 9°C on April 17?$102.8819d ago
- REDEEMWill the highest temperature in Austin be between 70-71°F on April 13?$102.8819d ago
- TRADEBUYWill the highest temperature in Austin be between 70-71°F on April 13?$102.5222d ago
- REDEEMWill the highest temperature in Singapore be 26°C on April 11?$95.5322d ago
- TRADEBUYWill the highest temperature in Singapore be 26°C on April 11?$95.4324d ago
- REDEEMWill the highest temperature in Dallas be between 72-73°F on April 8?$102.4224d ago
- TRADEBUYWill the highest temperature in Dallas be between 72-73°F on April 8?$101.3827d ago
- REDEEMWill the highest temperature in Ankara be 0°C on March 30?$101.3927d 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)
- 26
- Avg trade size
- $1.1K
- Top category
- —
- Category concentration
- 0%
- First seen
- 160d ago
- Last active
- 1d 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".