0x9c6759665546e9f985bcade0c28dd513704be770
0x9c6759665546e9f985bcade0c28dd513704be770
Wallet digest
Activity score
67/100
Performance: thin sample
Open positions
12
Open notional
$44.12
Total PnL
$-10.76
Realised
$0.86
Win rate
n/a
too few closed
Largest open positions
showing 10 of 12- YES
Will the highest temperature in Beijing be 29°C on June 15?
30 shares @ 33.0¢·now 34.0¢·exp Jun 15, 2026$10.30
$0.30
- YES
Will the highest temperature in Guangzhou be 28°C on June 15?
71 shares @ 14.0¢·now 13.5¢·exp Jun 15, 2026$9.64
$-0.36
- YES
Will the highest temperature in Madrid be 30°C on June 15?
49 shares @ 9.0¢·now 9.0¢·exp Jun 15, 2026$4.38
$0.00
- YES
Will the highest temperature in London be 23°C on June 15?
19 shares @ 21.7¢·now 22.5¢·exp Jun 15, 2026$4.16
$0.14
- YES
Will the highest temperature in Lucknow be 43°C on June 15?
406 shares @ 1.1¢·now 0.8¢·exp Jun 15, 2026$3.05
$-1.66
- YES
Will the highest temperature in Shenzhen be 28°C on June 15?
9 shares @ 32.3¢·now 34.0¢·exp Jun 15, 2026$3.02
$0.15
- YES
Will the highest temperature in Qingdao be 23°C on June 14?
88 shares @ 4.4¢·now 2.5¢·exp Jun 14, 2026$2.20
$-1.67
- YES
Will the highest temperature in Paris be 28°C on June 15?
8 shares @ 17.0¢·now 23.5¢·exp Jun 15, 2026$1.96
$0.54
- YES
Will the highest temperature in Shanghai be 29°C on June 15?
122 shares @ 2.3¢·now 1.6¢·exp Jun 15, 2026$1.89
$-0.90
- YES
Will the highest temperature in Singapore be 31°C on June 15?
4 shares @ 39.0¢·now 41.5¢·exp Jun 15, 2026$1.85
$0.11
Recent activity
- TRADEBUYWill the highest temperature in Lucknow be 43°C on June 15?$4.94Jun 13, 17:48 UTC
- TRADEBUYWill the highest temperature in Qingdao be 23°C on June 14?$0.34Jun 13, 17:45 UTC
- TRADEBUYWill the highest temperature in Qingdao be 23°C on June 14?$3.71Jun 13, 17:44 UTC
- TRADEBUYWill the highest temperature in Guangzhou be 28°C on June 15?$10.43Jun 13, 17:41 UTC
- TRADEBUYWill the highest temperature in Singapore be 31°C on June 15?$1.79Jun 13, 17:36 UTC
- TRADEBUYWill the highest temperature in Shenzhen be 28°C on June 15?$2.97Jun 13, 17:32 UTC
- TRADEBUYWill the highest temperature in Paris be 28°C on June 15?$1.47Jun 13, 17:27 UTC
- TRADEBUYWill the highest temperature in Shanghai be 29°C on June 15?$2.93Jun 13, 17:26 UTC
- TRADEBUYWill the highest temperature in Madrid be 30°C on June 15?$4.58Jun 13, 17:24 UTC
- TRADEBUYWill the highest temperature in London be 23°C on June 15?$4.18Jun 13, 17:20 UTC
- TRADEBUYWill the highest temperature in Beijing be 29°C on June 15?$10.33Jun 13, 17:07 UTC
- REDEEMWill the highest temperature in Chengdu be 31°C on June 13?$0.86Jun 13, 16:39 UTC
- REDEEMWill the highest temperature in Manila be 34°C on June 13?$0.00Jun 13, 16:36 UTC
- REDEEMWill the highest temperature in Shanghai be 27°C on June 13?$0.13Jun 13, 16:30 UTC
- REDEEMWill the highest temperature in Tokyo be 25°C on June 13?$0.12Jun 13, 15:27 UTC
- TRADESELLWill the highest temperature in Munich be 25°C on June 13?$2.48Jun 13, 13:23 UTC
- REDEEMWill the highest temperature in Mexico City be 24°C on June 12?$0.00Jun 13, 07:21 UTC
- TRADESELLWill the highest temperature in Chongqing be 27°C on June 13?$6.07Jun 13, 06:59 UTC
- TRADESELLWill the highest temperature in Chengdu be 31°C on June 13?$1.73Jun 13, 06:52 UTC
- TRADESELLWill the highest temperature in Chengdu be 31°C on June 13?$2.25Jun 13, 06:51 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)
- 36
- Avg trade size
- $4.78
- Top category
- —
- Category concentration
- 0%
- First seen
- Jun 10, 15:45 UTC
- Last active
- Jun 13, 17:48 UTC
- Win rate sample
- 1 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.