0x51b9f678831b819468d6225ca1a02a295ccf9b4a
0x51b9f678831b819468d6225ca1a02a295ccf9b4a
Activity score
55/100
Performance: thin sample
Open positions
3
Open notional
$1.91
Total PnL
$-1.89
Realised
$0.00
Win rate
n/a
too few closed
Largest open positions
- NAOMI OSAKA
Internazionali BNL d'Italia: Naomi Osaka vs Iga Swiatek
7 shares @ 25.0¢·now 26.5¢·exp May 18, 2026$1.91
$0.11
- HARRY WENDELKEN
Zagreb: Marco Cecchinato vs Harry Wendelken
4 shares @ 24.0¢·now 0.1¢·exp May 18, 2026$0.00
$-1.00
- OVER 2.5
Marco Cecchinato vs. Harry Wendelken: Total Sets O/U 2.5
3 shares @ 33.0¢·now 0.1¢·exp May 18, 2026$0.00
$-1.00
Recent activity
- TRADEBUYInternazionali BNL d'Italia: Naomi Osaka vs Iga Swiatek$1.8411h ago
- TRADEBUYZagreb: Marco Cecchinato vs Harry Wendelken$1.0214h ago
- TRADEBUYMarco Cecchinato vs. Harry Wendelken: Total Sets O/U 2.5$1.0214h ago
- REDEEMInternazionali BNL d'Italia: Taylor Townsend vs Iva Jovic$0.0114h ago
- REDEEMFrancavilla: Ryan Seggerman vs Facundo Acosta$0.0014h ago
- REDEEMJessica Pegula vs. Rebeka Masarova: Total Sets O/U 2.5$0.0014h ago
- REDEEMInternazionali BNL d'Italia: Elisabetta Cocciaretto vs Iga Swiatek$0.0114h ago
- REDEEMSet 1 Winner: Cocciaretto vs Swiatek$0.0114h ago
- REDEEMWuxi: Yunchaokete Bu vs Soon-Woo Kwon$0.0014h ago
- REDEEMWuxi: Adam Walton vs Yunchaokete Bu$0.0014h ago
- REDEEMWill EC Vitória win on 2026-05-09?$0.0014h ago
- REDEEMInternazionali BNL d'Italia: Elina Svitolina vs Hailey Baptiste$0.0014h ago
- REDEEMIstanbul: Donna Vekic vs Guiomar Maristany$0.0114h ago
- REDEEMInternazionali BNL d'Italia: Laura Siegemund vs Karolina Pliskova$0.0014h ago
- REDEEMInternazionali BNL d'Italia: Jessica Pegula vs Rebeka Masarova$0.0114h ago
- REDEEMInternazionali BNL d'Italia: Jannik Sinner vs Sebastian Ofner$0.0014h ago
- REDEEMInternazionali BNL d'Italia: Ugo Humbert vs Dino Prizmic$0.0014h ago
- REDEEMFrancavilla: Gustavo Heide vs August Holmgren$0.0014h ago
- REDEEMWill Fluminense FC win on 2026-05-09?$0.0014h ago
- REDEEMInternazionali BNL d'Italia: Laura Siegemund vs Karolina Pliskova$1.8214h 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)
- 33
- Avg trade size
- $1.63
- Top category
- —
- Category concentration
- 0%
- First seen
- 1d ago
- Last active
- 11h 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".
