Scrawny-Afoul
0xf543d424d0601b21eca6967a79d068418deb7cb4
Activity score
71/100
Performance: thin sample
Open positions
1
Open notional
$17.38
Total PnL
$-0.92
Realised
$0.00
Win rate
n/a
too few closed
Largest open positions
Recent activity
- TRADEBUYWill the lowest temperature in London be 10°C on May 9?$12.9014h ago
- TRADEBUYWill the lowest temperature in London be 10°C on May 9?$5.4014h ago
- REDEEMWill the highest temperature in Buenos Aires be 21°C on May 7?$0.0015h ago
- REDEEMWill the highest temperature in Buenos Aires be 21°C on May 7?$36.0015h ago
- TRADEBUYWill the highest temperature in Buenos Aires be 21°C on May 7?$6.903d ago
- TRADEBUYWill the highest temperature in Buenos Aires be 21°C on May 7?$4.043d ago
- REDEEMWill the highest temperature in Tokyo be 25°C on April 21?$0.0017d ago
- TRADEBUYWill the highest temperature in Tokyo be 25°C on April 21?$8.2519d ago
- REDEEMWill the highest temperature in Singapore be 30°C on April 15?$0.0019d ago
- TRADEBUYWill the highest temperature in Singapore be 30°C on April 15?$3.6325d ago
- TRADEBUYWill the highest temperature in Singapore be 30°C on April 15?$4.2925d ago
- REDEEMWill the highest temperature in Taipei be 29°C on April 11?$26.0028d ago
- TRADEBUYWill the highest temperature in Taipei be 29°C on April 11?$7.1129d ago
- TRADEBUYWill the highest temperature in Taipei be 29°C on April 11?$13.4329d ago
- REDEEMWill the highest temperature in Seattle be between 66-67°F on April 5?$0.0029d ago
- REDEEMWill the highest temperature in Atlanta be between 74-75°F on April 7?$0.0029d ago
- TRADEBUYWill the highest temperature in Atlanta be between 74-75°F on April 7?$5.0433d ago
- TRADEBUYWill the highest temperature in Seattle be between 66-67°F on April 5?$8.1435d ago
- TRADEBUYWill the highest temperature in Seattle be between 66-67°F on April 5?$9.6235d 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)
- 12
- Avg trade size
- $7.40
- Top category
- —
- Category concentration
- 0%
- First seen
- 35d ago
- Last active
- 14h 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".
