Jolly-Goggles
0x9d78628ea1a08a43c350b101f656162dc805bc07
Activity score
90/100
Performance: thin sample
Open positions
2
Open notional
$1.6K
Total PnL
$1.00
Realised
$0.00
Win rate
n/a
too few closed
Largest open positions
Recent activity
- TRADEBUYWill the highest temperature in London be 18°C on May 2?$1.0K9h ago
- TRADEBUYWill the highest temperature in Austin be 57°F or below on May 3?$600.039h ago
- REDEEMWill the highest temperature in San Francisco be between 62-63°F on March 29?$670.6733d ago
- REDEEMWill the highest temperature in San Francisco be between 60-61°F on March 29?$1.0K33d ago
- REDEEMWill the highest temperature in Shanghai be 23°C or higher on March 29?$3.9K33d ago
- TRADEBUYWill the highest temperature in San Francisco be between 62-63°F on March 29?$670.0035d ago
- TRADEBUYWill the highest temperature in San Francisco be between 60-61°F on March 29?$999.2235d ago
- TRADEBUYWill the highest temperature in Shanghai be 23°C or higher on March 29?$3.9K35d ago
- REDEEMWill the highest temperature in Dallas be 86°F or higher on March 27?$500.5135d ago
- REDEEMWill the highest temperature in Seoul be 18°C or higher on March 28?$2.5K35d ago
- REDEEMWill the highest temperature in Seoul be 17°C on March 28?$2.6K35d ago
- TRADEBUYWill the highest temperature in Seoul be 17°C on March 28?$2.6K35d ago
- TRADEBUYWill the highest temperature in Seoul be 18°C or higher on March 28?$2.5K35d ago
- REDEEMWill the highest temperature in Ankara be 19°C on March 27?$299.3035d ago
- REDEEMWill the highest temperature in Chicago be 33°F or below on March 27?$2.2K35d ago
- REDEEMWill the highest temperature in London be 18°C or higher on March 27?$2.5K35d ago
- TRADEBUYWill the highest temperature in Chicago be 33°F or below on March 27?$2.2K36d ago
- TRADEBUYWill the highest temperature in Ankara be 19°C on March 27?$299.0036d ago
- TRADEBUYWill the highest temperature in Dallas be 86°F or higher on March 27?$500.0036d ago
- REDEEMWill the highest temperature in Lucknow be 44°C or higher on March 26?$901.8036d 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)
- 29
- Avg trade size
- $913.12
- Top category
- —
- Category concentration
- 0%
- First seen
- 40d ago
- Last active
- 9h 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".