Half-Lecture
0x10cadfdd7f0f6721b68496c13b7c3ae5dfb277ee
Activity score
85/100
Performance: thin sample
Open positions
1
Open notional
$104.93
Total PnL
$-0.06
Realised
$0.00
Win rate
n/a
too few closed
Largest open positions
Recent activity
- TRADEBUYWill the highest temperature in Toronto be 14°C or higher on May 1?$105.0210h ago
- REDEEMWill the highest temperature in Shanghai be 15°C on April 25?$105.7711h ago
- TRADEBUYWill the highest temperature in Shanghai be 15°C on April 25?$105.317d ago
- REDEEMWill the highest temperature in Atlanta be between 88-89°F on April 21?$105.317d ago
- TRADEBUYWill the highest temperature in Atlanta be between 88-89°F on April 21?$104.8111d ago
- REDEEMWill the highest temperature in San Francisco be between 52-53°F on April 19?$104.8211d ago
- TRADEBUYWill the highest temperature in San Francisco be between 52-53°F on April 19?$104.5613d ago
- REDEEMWill the highest temperature in San Francisco be 57°F or below on April 17?$104.5613d ago
- TRADEBUYWill the highest temperature in San Francisco be 57°F or below on April 17?$104.3615d ago
- REDEEMWill the highest temperature in Taipei be 36°C on April 13?$104.3615d ago
- TRADEBUYWill the highest temperature in Taipei be 36°C on April 13?$104.1419d ago
- REDEEMWill the highest temperature in Madrid be 19°C on April 11?$104.1419d ago
- TRADEBUYWill the highest temperature in Madrid be 19°C on April 11?$103.1521d ago
- REDEEMWill the highest temperature in Amsterdam be 15°C or higher on April 8?$103.1521d ago
- TRADEBUYWill the highest temperature in Amsterdam be 15°C or higher on April 8?$102.9623d ago
- REDEEMWill the highest temperature in Taipei be 25°C or higher on April 1?$102.9623d ago
- TRADEBUYWill the highest temperature in Taipei be 25°C or higher on April 1?$102.4030d ago
- REDEEMWill the highest temperature in Seoul be -1°C or below on February 16?$102.4030d ago
- TRADEBUYWill the highest temperature in Seoul be -1°C or below on February 16?$102.3075d ago
- REDEEMWill the highest temperature in Toronto be -10°C or higher on February 7?$102.2675d 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
- $1.5K
- Top category
- —
- Category concentration
- 0%
- First seen
- 151d 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".