Limping-Scent
0xc0b4f755a42bd7f9ede80c43dcc95ec41365e690
Activity score
84/100
Performance: thin sample
Open positions
1
Open notional
$103.61
Total PnL
$-0.39
Realised
$0.00
Win rate
n/a
too few closed
Largest open positions
Recent activity
- TRADEBUYWill the highest temperature in Qingdao be 23°C or below on May 1?$104.0116h ago
- REDEEMWill the highest temperature in Seattle be between 58-59°F on April 25?$104.495d ago
- TRADEBUYWill the highest temperature in Seattle be between 58-59°F on April 25?$103.707d ago
- REDEEMWill the highest temperature in Lucknow be 46°C on April 23?$103.707d ago
- TRADEBUYWill the highest temperature in Lucknow be 46°C on April 23?$103.509d ago
- REDEEMWill the highest temperature in Kuala Lumpur be 28°C on April 21?$103.509d ago
- TRADEBUYWill the highest temperature in Kuala Lumpur be 28°C on April 21?$103.1111d ago
- REDEEMWill the highest temperature in Moscow be 0°C on April 19?$103.1011d ago
- TRADEBUYWill the highest temperature in Moscow be 0°C on April 19?$102.8113d ago
- REDEEMWill the highest temperature in Austin be between 78-79°F on April 17?$102.8113d ago
- TRADEBUYWill the highest temperature in Austin be between 78-79°F on April 17?$102.6815d ago
- REDEEMWill the highest temperature in Miami be between 86-87°F on April 10?$102.6815d ago
- TRADEBUYWill the highest temperature in Miami be between 86-87°F on April 10?$102.2922d ago
- REDEEMWill the highest temperature in Los Angeles be 67°F or below on April 5?$102.3022d ago
- TRADEBUYWill the highest temperature in Los Angeles be 67°F or below on April 5?$101.3127d ago
- REDEEMWill the highest temperature in Lucknow be 42°C on April 1?$101.3127d ago
- TRADEBUYWill the highest temperature in Lucknow be 42°C on April 1?$101.2130d ago
- REDEEMWill the price of Ethereum be less than $1,500 on February 19?$101.2030d ago
- TRADEBUYWill the price of Ethereum be less than $1,500 on February 19?$101.1072d ago
- REDEEMWill the price of Bitcoin be less than $74,000 on February 6?$100.8872d 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)
- 25
- Avg trade size
- $286.39
- Top category
- —
- Category concentration
- 0%
- First seen
- 190d ago
- Last active
- 16h 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".