Spanish-Perspective
0x5ffea747575581e8d2dc5e23c47ab98c1638e48b
Activity score
86/100
Performance: thin sample
Open positions
3
Open notional
$1.0K
Total PnL
$4.91
Realised
$0.00
Win rate
n/a
too few closed
Largest open positions
- NO
Will the highest temperature in Chengdu be 27°C or higher on May 2?
506 shares @ 98.9¢·now 99.6¢·exp May 2, 2026$503.36
$3.36
- NO
Will the highest temperature in Chengdu be 26°C on May 2?
505 shares @ 98.9¢·now 99.3¢·exp May 2, 2026$501.54
$1.54
- NO
Will Elon Musk post 220-239 tweets from April 24 to May 1, 2026?
1 shares @ 98.8¢·now 100.0¢·exp May 1, 2026$1.01
$0.01
Recent activity
- REDEEMWill the highest temperature in London be 22°C on May 1?$1.033h ago
- TRADEBUYWill Elon Musk post 220-239 tweets from April 24 to May 1, 2026?$1.009h ago
- REDEEMWill the highest temperature in Shanghai be 22°C on May 1?$1.0K11h ago
- TRADEBUYWill the highest temperature in Chengdu be 26°C on May 2?$500.2611h ago
- REDEEMWill the highest temperature in Seoul be 17°C on May 1?$1.0412h ago
- REDEEMWill the highest temperature in Chongqing be 22°C on May 1?$511.2913h ago
- REDEEMWill the highest temperature in Chengdu be 26°C on April 30?$890.391d ago
- TRADEBUYWill the highest temperature in Seoul be 17°C on May 1?$1.001d ago
- TRADEBUYWill the highest temperature in London be 22°C on May 1?$1.001d ago
- TRADEBUYWill the highest temperature in Shanghai be 22°C on May 1?$500.331d ago
- TRADESELLWill the highest temperature in Chongqing be 23°C on May 1?$50.141d ago
- TRADEBUYWill the highest temperature in Chongqing be 23°C on May 1?$50.501d ago
- TRADEBUYWill the highest temperature in Chongqing be 22°C on May 1?$500.551d ago
- TRADEBUYWill the highest temperature in Chengdu be 27°C or higher on May 2?$500.282d ago
- TRADEBUYWill the highest temperature in Shanghai be 22°C on May 1?$500.482d ago
- TRADEBUYWill the highest temperature in Chengdu be 26°C on April 30?$430.212d ago
- TRADEBUYWill the highest temperature in Chengdu be 26°C on April 30?$450.312d 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
- $290.51
- Top category
- —
- Category concentration
- 0%
- First seen
- 2d ago
- Last active
- 3h 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".