Those-Mobility
0x766481d3d496306a1ea2989954bef3c92812cee5
Activity score
82/100
Performance: thin sample
Open positions
1
Open notional
$51.37
Total PnL
$0.03
Realised
$0.00
Win rate
n/a
too few closed
Largest open positions
Recent activity
- TRADEBUYGame 3: Both Teams Destroy Inhibitors?$51.342h ago
- REDEEMWill the highest temperature in Shanghai be 26°C on May 2?$51.354h ago
- TRADEBUYWill the highest temperature in Shanghai be 26°C on May 2?$51.3017h ago
- REDEEMWill the lowest temperature in London be 9°C on May 1?$51.3022h ago
- TRADEBUYWill the lowest temperature in London be 9°C on May 1?$51.251d ago
- REDEEMWill the lowest temperature in Seoul be 15°C on May 2?$0.001d ago
- REDEEMWill the lowest temperature in Seoul be 15°C on May 2?$51.251d ago
- TRADEBUYWill the lowest temperature in Seoul be 15°C on May 2?$51.131d ago
- REDEEMWill Donald Trump publicly insult Benjamin Netanyahu by April 30, 2026?$10.001d ago
- REDEEMWill Donald Trump publicly insult Xi Jinping by April 30, 2026?$40.691d ago
- TRADESELLStrait of Hormuz traffic returns to normal by end of May?$0.449d ago
- TRADEBUYWill Donald Trump publicly insult Xi Jinping by April 30, 2026?$39.9113d ago
- REDEEMWill the highest temperature in Munich be 17°C on April 19?$39.9113d ago
- TRADEBUYWill the highest temperature in Munich be 17°C on April 19?$39.8713d ago
- REDEEMWill the highest temperature in Guangzhou be 37°C or higher on April 19?$39.8713d ago
- TRADEBUYWill the highest temperature in Guangzhou be 37°C or higher on April 19?$39.7214d ago
- TRADESELLWill the highest temperature in Shenzhen be 24°C on April 20?$39.7214d ago
- TRADEBUYWill the highest temperature in Shenzhen be 24°C on April 20?$39.3915d ago
- REDEEMGame 1: Both Teams Slay a Dragon?$5.1015d ago
- REDEEMWill the highest temperature in Shenzhen be 29°C on April 17?$16.3815d 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)
- 31
- Avg trade size
- $17.26
- Top category
- —
- Category concentration
- 0%
- First seen
- 16d ago
- Last active
- 2h 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".