Feisty-Hire
0xe8d5ef32e3bb6b8f270780050d8a48d94261b3ec
Activity score
82/100
Performance: thin sample
Open positions
2
Open notional
$57.81
Total PnL
$0.04
Realised
$0.00
Win rate
n/a
too few closed
Largest open positions
Recent activity
- TRADEBUYWill the highest temperature in Hong Kong be 21°C or below on May 8?$43.793d ago
- REDEEMWill the highest temperature in Atlanta be between 76-77°F on May 2?$26.796d ago
- REDEEMWill Bitcoin reach $150,000 in April?$10.008d ago
- REDEEMWill the highest temperature in Buenos Aires be 16°C or below on May 1?$7.008d ago
- TRADEBUYWill the highest temperature in Atlanta be between 76-77°F on May 2?$26.718d ago
- REDEEMWill DeepSeek have the best Coding AI model at the end of April 2026?$13.008d ago
- REDEEMWill Moonshot have the best Coding AI model at the end of April 2026?$13.008d ago
- TRADEBUYWill the highest temperature in Buenos Aires be 16°C or below on May 1?$6.999d ago
- TRADEBUYWill DeepSeek have the best Coding AI model at the end of April 2026?$12.999d ago
- TRADEBUYWill Moonshot have the best Coding AI model at the end of April 2026?$12.999d ago
- REDEEMWill the highest temperature in San Francisco be between 50-51°F on April 29?$33.689d ago
- TRADEBUYWill the highest temperature in San Francisco be between 50-51°F on April 29?$33.6511d ago
- REDEEMWill the highest temperature in Chengdu be 17°C or below on April 28?$10.0211d ago
- REDEEMWill the highest temperature in Wellington be 20°C or higher on April 27?$15.0012d ago
- REDEEMWill the highest temperature in Munich be 12°C or below on April 27?$8.6312d ago
- TRADEBUYWill the highest temperature in Chengdu be 17°C or below on April 28?$9.9512d ago
- TRADEBUYWill the highest temperature in Chengdu be 27°C or higher on April 28?$13.9912d ago
- REDEEMWill the highest temperature in Wellington be 13°C on April 27?$14.0012d ago
- REDEEMWill the highest temperature in Wellington be 12°C on April 27?$9.9412d ago
- TRADEBUYWill the highest temperature in Munich be 12°C or below on April 27?$8.6213d 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
- $19.85
- Top category
- —
- Category concentration
- 0%
- First seen
- 26d ago
- Last active
- 3d 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".
