Known-Spite
0x19dbbf1c67d52ee6a5fb75e570cd97d877d7e24c
Activity score
85/100
Performance: thin sample
Open positions
1
Open notional
$105.64
Total PnL
$0.64
Realised
$0.00
Win rate
n/a
too few closed
Largest open positions
Recent activity
- TRADEBUYWill the highest temperature in Jeddah be 30°C on May 1?$105.0510h ago
- REDEEMWill the highest temperature in Los Angeles be between 56-57°F on April 25?$105.325d ago
- TRADEBUYWill the highest temperature in Los Angeles be between 56-57°F on April 25?$104.727d ago
- REDEEMWill the highest temperature in Dallas be between 72-73°F on April 23?$104.737d ago
- TRADEBUYWill the highest temperature in Dallas be between 72-73°F on April 23?$104.489d ago
- REDEEMWill the highest temperature in Guangzhou be 36°C or higher on April 21?$104.489d ago
- TRADEBUYWill the highest temperature in Guangzhou be 36°C or higher on April 21?$104.0811d ago
- REDEEMWill the highest temperature in Denver be 57°F or below on April 19?$104.0711d ago
- TRADEBUYWill the highest temperature in Denver be 57°F or below on April 19?$103.5813d ago
- REDEEMWill the highest temperature in Sao Paulo be 24°C or below on April 17?$103.5813d ago
- TRADEBUYWill the highest temperature in Sao Paulo be 24°C or below on April 17?$103.3315d ago
- REDEEMWill the highest temperature in Amsterdam be 9°C on April 12?$103.3315d ago
- TRADEBUYWill the highest temperature in Amsterdam be 9°C on April 12?$103.1320d ago
- REDEEMWill the highest temperature in Singapore be 27°C on April 10?$103.1320d ago
- TRADEBUYWill the highest temperature in Singapore be 27°C on April 10?$102.9522d ago
- REDEEMWill the highest temperature in Beijing be 23°C or higher on April 5?$102.9522d ago
- TRADEBUYWill the highest temperature in Beijing be 23°C or higher on April 5?$101.9027d ago
- REDEEMWill the highest temperature in Munich be 4°C on April 1?$101.9027d ago
- TRADEBUYWill the highest temperature in Munich be 4°C on April 1?$101.6030d ago
- REDEEMWill the highest temperature in London be 2°C or below on February 19?$101.6030d 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
- $262.40
- Top category
- —
- Category concentration
- 0%
- First seen
- 187d ago
- Last active
- 10h 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".