0xf78734c30139d81fdf13dae3505ed7872a247b27
0xf78734c30139d81fdf13dae3505ed7872a247b27
Activity score
91/100
Performance: thin sample
Open positions
17
Open notional
$349.08
Total PnL
$3.82
Realised
$29.54
Win rate
n/a
too few closed
Largest open positions
showing 10 of 17- NO
Will the highest temperature in Hong Kong be 27°C on May 5?
160 shares @ 98.6¢·now 98.8¢·exp May 5, 2026$158.14
$0.28
- NO
Will the highest temperature in Madrid be 23°C on May 4?
45 shares @ 99.0¢·now 98.6¢·exp May 4, 2026$44.35
$-0.20
- NO
Will the highest temperature in Paris be 20°C on May 4?
34 shares @ 98.7¢·now 98.3¢·exp May 4, 2026$33.53
$-0.13
- KIMBERLY BIRRELL
Internazionali BNL d'Italia, Qualification: Kimberly Birrell vs Yue Yuan
125 shares @ 0.0¢·now 17.5¢·exp May 11, 2026$21.93
$21.93
- NO
Will the highest temperature in London be 20°C on May 4?
14 shares @ 99.0¢·now 99.4¢·exp May 4, 2026$13.91
$0.05
- NO
Will the highest temperature in Kuala Lumpur be 36°C on May 4?
11 shares @ 96.2¢·now 100.0¢·exp May 4, 2026$11.31
$0.42
- NO
Will the highest temperature in Tel Aviv be 23°C on May 4?
11 shares @ 96.9¢·now 100.0¢·exp May 4, 2026$11.23
$0.34
- NO
Will the highest temperature in Milan be 19°C on May 4?
11 shares @ 97.0¢·now 100.0¢·exp May 4, 2026$11.22
$0.33
- NO
Will the highest temperature in Milan be 23°C on May 4?
11 shares @ 97.4¢·now 96.4¢·exp May 4, 2026$10.78
$-0.11
- ALIAKSANDRA SASNOVICH
Internazionali BNL d'Italia, Qualification: Aliaksandra Sasnovich vs Julia Grabher
19339 shares @ 0.1¢·now 0.1¢·exp May 11, 2026$9.67
$-9.67
Recent activity
- TRADEBUYInternazionali BNL d'Italia, Qualification: Kimberly Birrell vs Yue Yuan$4.8324s ago
- TRADEBUYInternazionali BNL d'Italia, Qualification: Kimberly Birrell vs Yue Yuan$4.821m ago
- TRADEBUYInternazionali BNL d'Italia, Qualification: Kimberly Birrell vs Yue Yuan$4.822m ago
- TRADEBUYInternazionali BNL d'Italia, Qualification: Alina Korneeva vs Ella Seidel$4.946m ago
- TRADEBUYInternazionali BNL d'Italia, Qualification: Alina Korneeva vs Ella Seidel$4.947m ago
- MERGEInternazionali BNL d'Italia, Qualification: Lilli Tagger vs Suzan Lamens$61.0029m ago
- TRADEBUYInternazionali BNL d'Italia, Qualification: Lilli Tagger vs Suzan Lamens$4.1547m ago
- TRADEBUYInternazionali BNL d'Italia, Qualification: Lilli Tagger vs Suzan Lamens$4.1448m ago
- TRADEBUYInternazionali BNL d'Italia, Qualification: Lilli Tagger vs Suzan Lamens$4.1449m ago
- TRADEBUYInternazionali BNL d'Italia, Qualification: Lilli Tagger vs Suzan Lamens$4.1450m ago
- TRADEBUYInternazionali BNL d'Italia, Qualification: Lilli Tagger vs Suzan Lamens$4.9750m ago
- TRADEBUYInternazionali BNL d'Italia, Qualification: Lilli Tagger vs Suzan Lamens$4.1451m ago
- TRADEBUYInternazionali BNL d'Italia, Qualification: Lilli Tagger vs Suzan Lamens$4.1452m ago
- TRADEBUYInternazionali BNL d'Italia, Qualification: Lilli Tagger vs Suzan Lamens$4.9753m ago
- TRADEBUYInternazionali BNL d'Italia, Qualification: Lilli Tagger vs Suzan Lamens$4.9854m ago
- TRADEBUYInternazionali BNL d'Italia, Qualification: Lilli Tagger vs Suzan Lamens$4.9755m ago
- TRADEBUYInternazionali BNL d'Italia, Qualification: Lilli Tagger vs Suzan Lamens$4.9756m ago
- TRADEBUYInternazionali BNL d'Italia, Qualification: Lilli Tagger vs Suzan Lamens$4.9957m ago
- TRADEBUYInternazionali BNL d'Italia, Qualification: Lilli Tagger vs Suzan Lamens$5.0058m ago
- TRADEBUYInternazionali BNL d'Italia, Qualification: Lilli Tagger vs Suzan Lamens$5.0059m 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)
- 46
- Avg trade size
- $5.72
- Top category
- —
- Category concentration
- 0%
- First seen
- 1h ago
- Last active
- 24s ago
- Win rate sample
- 2 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".