Daring-Endpoint
0x010ff197742ff6df30609c599e65d2b4b7796a79
Wallet digest
Activity score
100/100
Performance measurable
Open positions
135
Open notional
$8.72
Total PnL
$1.39
Realised
$5.06
Win rate
100%
30 closed
Largest open positions
showing 10 of 135- YES
Will the highest temperature in Tokyo be 22°C on May 15?
10 shares @ 1.5¢·now 5.5¢·exp May 15, 2026$0.55
$0.40
- YES
Will the highest temperature in Busan be 28°C on May 15?
8 shares @ 1.6¢·now 5.9¢·exp May 15, 2026$0.49
$0.36
- YES
Will the highest temperature in Seattle be between 64-65°F on May 14?
15 shares @ 0.5¢·now 2.5¢·exp May 14, 2026$0.36
$0.29
- YES
Will the highest temperature in Amsterdam be 10°C on May 16?
15 shares @ 1.4¢·now 2.0¢·exp May 16, 2026$0.30
$0.09
- YES
Will the highest temperature in Helsinki be 13°C on May 15?
36 shares @ 0.6¢·now 0.8¢·exp May 15, 2026$0.29
$0.06
- YES
Will the highest temperature in Jakarta be 29°C on May 15?
40 shares @ 0.5¢·now 0.7¢·exp May 15, 2026$0.26
$0.06
- YES
Will the highest temperature in Warsaw be 22°C on May 15?
11 shares @ 1.5¢·now 2.0¢·exp May 15, 2026$0.22
$0.06
- YES
Will the highest temperature in Lagos be 35°C on May 14?
6 shares @ 1.3¢·now 3.5¢·exp May 14, 2026$0.21
$0.13
- YES
Will the highest temperature in Madrid be 20°C on May 15?
14 shares @ 1.5¢·now 1.5¢·exp May 15, 2026$0.20
$-0.00
- YES
Will the highest temperature in Tel Aviv be 23°C on May 15?
11 shares @ 1.3¢·now 1.7¢·exp May 15, 2026$0.19
$0.04
Recent activity
- TRADEBUYWill the highest temperature in Jakarta be 29°C on May 15?$0.03May 14, 15:50 UTC
- TRADEBUYWill the highest temperature in Sao Paulo be 27°C on May 15?$0.08May 14, 15:49 UTC
- TRADEBUYWill the highest temperature in Jakarta be 29°C on May 15?$0.03May 14, 15:48 UTC
- TRADEBUYWill the highest temperature in Jakarta be 29°C on May 15?$0.06May 14, 15:48 UTC
- TRADEBUYWill the highest temperature in Amsterdam be 9°C on May 16?$0.09May 14, 15:45 UTC
- TRADEBUYWill the highest temperature in Amsterdam be 10°C on May 16?$0.13May 14, 15:45 UTC
- TRADEBUYWill the highest temperature in Buenos Aires be 13°C on May 15?$0.08May 14, 15:44 UTC
- TRADEBUYWill the highest temperature in Jakarta be 29°C on May 15?$0.00May 14, 15:43 UTC
- TRADEBUYWill the highest temperature in Jakarta be 29°C on May 15?$0.08May 14, 15:43 UTC
- REDEEMWill the highest temperature in Chicago be between 54-55°F on May 14?$0.00May 14, 15:30 UTC
- REDEEMWill the highest temperature in Madrid be 20°C on May 14?$0.00May 14, 15:30 UTC
- TRADESELLWill the highest temperature in Busan be 23°C on May 15?$0.17May 14, 15:29 UTC
- TRADEBUYWill the highest temperature in Warsaw be 23°C on May 15?$0.03May 14, 15:28 UTC
- TRADEBUYWill the highest temperature in Miami be between 82-83°F on May 16?$0.01May 14, 15:28 UTC
- TRADEBUYWill the highest temperature in Miami be between 82-83°F on May 16?$0.01May 14, 15:28 UTC
- TRADEBUYWill the highest temperature in Miami be between 82-83°F on May 16?$0.01May 14, 15:28 UTC
- TRADEBUYWill the highest temperature in Miami be between 82-83°F on May 16?$0.01May 14, 15:28 UTC
- TRADEBUYWill the highest temperature in Hong Kong be 21°C on May 16?$0.06May 14, 15:25 UTC
- TRADEBUYWill the highest temperature in Miami be between 82-83°F on May 16?$0.02May 14, 15:24 UTC
- REDEEMWill the highest temperature in Chicago be between 54-55°F on May 14?$0.00May 14, 15:21 UTC
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)
- 47
- Avg trade size
- $0.05
- Top category
- —
- Category concentration
- 0%
- First seen
- May 14, 14:22 UTC
- Last active
- May 14, 15:50 UTC
- Win rate sample
- 30 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".