Uncommon-Welcome
0x714c30a2bd7d64bbed64a3d1798a9ee70458a005
Wallet digest
Activity score
43/100
Performance measurable
Open positions
14
Open notional
$0.00
Total PnL
$-626.38
Realised
$0.63
Win rate
33%
3 closed
Largest open positions
showing 10 of 14- MINAUR
Rolex Paris Masters: Alexander Bublik vs Alex de Minaur
224 shares @ 62.5¢·now 0.0¢·exp Nov 7, 2025$0.00
$-140.00
- REVATHI
Chennai Open: Maaya Rajeshwaran Revathi vs Shrivalli Bhamidipaty
192 shares @ 20.9¢·now 0.0¢·exp Nov 3, 2025$0.00
$-40.00
- PARKS
Jiangxi Open: Alycia Parks vs Anna Blinkova
162 shares @ 37.0¢·now 0.0¢·exp Nov 7, 2025$0.00
$-60.00
- TIMBERWOLVES
Nuggets vs. Timberwolves
160 shares @ 50.0¢·now 0.0¢·exp Oct 28, 2025$0.00
$-80.00
- BAI
Jiangxi Open: Zhuoxuan Bai vs Dominika Salkova
156 shares @ 32.0¢·now 0.0¢·exp Nov 7, 2025$0.00
$-50.00
- NORRIE
Rolex Paris Masters: Cameron Norrie vs Valentin Vacherot
143 shares @ 7.0¢·now 0.0¢·exp Nov 6, 2025$0.00
$-10.00
- SAKATSUME
Prudential Hong Kong Tennis Open: Himeno Sakatsume vs Maya Joint
124 shares @ 48.4¢·now 0.0¢·exp Nov 7, 2025$0.00
$-60.00
- SUNS
Grizzlies vs. Suns
105 shares @ 38.0¢·now 0.0¢·exp Oct 30, 2025$0.00
$-40.00
- LI
Jiangxi Open: Ann Li vs Zhuoxuan Bai
92 shares @ 50.0¢·now 0.0¢·exp Nov 3, 2025$0.00
$-46.00
- SEIDEL
Jiangxi Open: Ella Seidel vs Tamara Korpatsch
83 shares @ 60.0¢·now 0.0¢·exp Nov 5, 2025$0.00
$-50.00
Recent activity
- TRADEBUYRolex Paris Masters: Alexander Bublik vs Alex de Minaur$40.00Oct 31, 16:52 UTC
- TRADESELLRolex Paris Masters: Alexander Bublik vs Alex de Minaur$33.91Oct 31, 16:52 UTC
- TRADEBUYRolex Paris Masters: Alexander Bublik vs Alex de Minaur$100.00Oct 31, 16:50 UTC
- TRADEBUYRolex Paris Masters: Alexander Bublik vs Alex de Minaur$40.00Oct 31, 14:54 UTC
- TRADESELLLoL: Anyone's Legend vs T1 (BO5)$92.93Oct 31, 11:46 UTC
- TRADEBUYLoL: Anyone's Legend vs T1 (BO5)$40.00Oct 31, 10:18 UTC
- TRADEBUYJiangxi Open: Alycia Parks vs Anna Blinkova$60.00Oct 31, 09:58 UTC
- TRADESELLLoL: Anyone's Legend vs T1 (BO5)$55.85Oct 31, 09:52 UTC
- TRADEBUYPrudential Hong Kong Tennis Open: Himeno Sakatsume vs Maya Joint$60.00Oct 31, 09:05 UTC
- TRADEBUYLoL: Anyone's Legend vs T1 (BO5)$40.00Oct 31, 09:03 UTC
- TRADEBUYJiangxi Open: Zhuoxuan Bai vs Dominika Salkova$50.00Oct 31, 07:23 UTC
- TRADESELLJiangxi Open: Yulia Putintseva vs Viktorija Golubic$11.84Oct 31, 06:45 UTC
- TRADEBUYJiangxi Open: Yulia Putintseva vs Viktorija Golubic$40.00Oct 31, 06:25 UTC
- TRADEBUYJiangxi Open: Yulia Putintseva vs Viktorija Golubic$3.29Oct 31, 06:20 UTC
- TRADESELLRed Wings vs. Kings$154.44Oct 31, 05:20 UTC
- TRADEBUYRed Wings vs. Kings$100.00Oct 31, 05:16 UTC
- TRADESELLJiangxi Open: Lilli Tagger vs Tamara Korpatsch$24.52Oct 31, 05:05 UTC
- TRADEBUYJiangxi Open: Lilli Tagger vs Tamara Korpatsch$20.00Oct 31, 04:21 UTC
- TRADEBUYJiangxi Open: Lilli Tagger vs Tamara Korpatsch$20.00Oct 31, 03:08 UTC
- TRADEBUYJiangxi Open: Lilli Tagger vs Tamara Korpatsch$40.00Oct 31, 03:07 UTC
Persistent ledger timeline
persistentNo trades for this wallet in Orrery's persistent ledger yet. The whale-ingest cron writes ≥ $5k trades every 10 minutes; check back after a recovery window.
Ledger intelligence
persistent7d volume
$0.00
0 trades
30d volume
$0.00
0 trades
Buy share
50%
Sample
low
0 ledger trades
No persistent whale trades for this wallet yet. The live Data API score above can still be useful, but the durable ledger sample is empty.
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)
- 50
- Avg trade size
- $54.53
- Top category
- —
- Category concentration
- 0%
- First seen
- Oct 29, 12:09 UTC
- Last active
- Oct 31, 16:52 UTC
- Win rate sample
- 3 closed
The single Activity score is kept for the leaderboard sort. The five dimensions above are the canonical read; copy-risk is inverted so green means lower risk of over-reading the wallet.