Powerful-Cheesecake
0x6399b5fca3fa5bd9e10e28027ed9e18a83c1b12d
Wallet digest
Activity score
74/100
Performance: thin sample
Open positions
6
Open notional
$253.16
Total PnL
$-404.98
Realised
$0.00
Win rate
n/a
too few closed
Largest open positions
- THUNDER
Spread: Spurs (-9.5)
253 shares @ 79.0¢·now 100.0¢·exp May 31, 2026$253.16
$53.16
- JANNIK SINNER
Roland Garros ATP: Jannik Sinner vs Juan Manuel Cerundolo
234 shares @ 85.0¢·now 0.0¢·exp Jun 4, 2026$0.00
$-199.00
- NRG ESPORTS
LoL: NRG Esports vs Winthrop University - Game 2 Winner
150 shares @ 69.0¢·now 0.0¢·exp May 29, 2026$0.00
$-103.15
- ZHANG MINGYANG
UFC Fight Night: Alonzo Menifield vs. Zhang Mingyang (Light Heavyweight, Main Card)
145 shares @ 69.0¢·now 0.0¢·exp May 31, 2026$0.00
$-100.00
- ALEJANDRO DAVIDOVICH FOKINA
Roland Garros ATP: Alejandro Davidovich Fokina vs Thiago Agustin Tirante
47 shares @ 70.0¢·now 0.0¢·exp Jun 3, 2026$0.00
$-33.00
- ALEX MICHELSEN
Roland Garros ATP: Alex Michelsen vs Rafael Jodar
47 shares @ 49.0¢·now 0.0¢·exp Jun 5, 2026$0.00
$-23.00
Recent activity
- TRADEBUYSpread: Spurs (-9.5)$201.26May 30, 23:10 UTC
- TRADESELLRoland Garros ATP: Felix Auger-Aliassime vs Brandon Nakashima$422.16May 30, 22:45 UTC
- TRADESELLLoL: FlyQuest vs Sentinels (BO5) - LCS Playoffs$211.06May 30, 22:41 UTC
- TRADEBUYLoL: FlyQuest vs Sentinels (BO5) - LCS Playoffs$157.57May 30, 20:56 UTC
- TRADEBUYRoland Garros ATP: Felix Auger-Aliassime vs Brandon Nakashima$319.33May 30, 18:40 UTC
- TRADESELLLoL: Karmine Corp vs Natus Vincere (BO5) - LEC Playoffs$312.54May 30, 18:24 UTC
- TRADEBUYLoL: Karmine Corp vs Natus Vincere (BO5) - LEC Playoffs$300.37May 30, 18:10 UTC
- TRADESELLRoland Garros ATP: Moise Kouame vs Alejandro Tabilo$307.54May 30, 18:06 UTC
- TRADEBUYRoland Garros ATP: Moise Kouame vs Alejandro Tabilo$274.90May 30, 16:36 UTC
- TRADESELLLoL: Karmine Corp vs Natus Vincere - Game 2 Winner$217.22May 30, 16:35 UTC
- TRADEBUYLoL: Karmine Corp vs Natus Vincere - Game 2 Winner$200.48May 30, 16:12 UTC
- TRADESELLParis Saint-Germain FC vs. Arsenal FC: O/U 0.5$250.44May 30, 16:09 UTC
- TRADESELLLoL: Eintracht Spandau vs G2 NORD (BO5) - Prime League 1st Division Playoffs$307.37May 30, 16:09 UTC
- TRADEBUYParis Saint-Germain FC vs. Arsenal FC: O/U 0.5$226.06May 30, 16:05 UTC
- TRADESELLLoL: Karmine Corp vs Natus Vincere - Game 1 Winner$224.44May 30, 15:59 UTC
- TRADEBUYLoL: Karmine Corp vs Natus Vincere - Game 1 Winner$174.19May 30, 15:19 UTC
- TRADEBUYLoL: Eintracht Spandau vs G2 NORD (BO5) - Prime League 1st Division Playoffs$241.58May 30, 14:01 UTC
- TRADESELLUFC Fight Night: Song Yadong vs. Deiveson Figueiredo (Bantamweight, Main Card)$242.39May 30, 13:50 UTC
- TRADEBUYUFC Fight Night: Song Yadong vs. Deiveson Figueiredo (Bantamweight, Main Card)$200.04May 30, 13:09 UTC
- TRADEBUYUFC Fight Night: Alonzo Menifield vs. Zhang Mingyang (Light Heavyweight, Main Card)$100.93May 30, 12:56 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)
- 49
- Avg trade size
- $227.58
- Top category
- —
- Category concentration
- 0%
- First seen
- May 28, 20:47 UTC
- Last active
- May 30, 23:10 UTC
- 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".