Smug-Gladiolus
0xf57997a692ab5c861e57405559a67942b9f51c3d
Wallet digest
Activity score
65/100
Performance: thin sample
Open positions
72
Open notional
$27.46
Total PnL
$-174.71
Realised
$0.00
Win rate
n/a
too few closed
Largest open positions
showing 10 of 72- YES
Will the highest temperature in Shanghai be 24°C on June 14?
16 shares @ 36.4¢·now 39.5¢·exp Jun 14, 2026$6.50
$0.51
- YES
Will the highest temperature in Chengdu be 34°C on June 14?
22 shares @ 27.5¢·now 21.5¢·exp Jun 14, 2026$4.84
$-1.35
- YES
Will the highest temperature in Lucknow be 39°C on June 14?
67 shares @ 9.0¢·now 7.0¢·exp Jun 14, 2026$4.67
$-1.33
- YES
Will the highest temperature in Shanghai be 23°C on June 14?
16 shares @ 21.7¢·now 25.5¢·exp Jun 14, 2026$4.08
$0.61
- YES
Will the highest temperature in Beijing be 32°C on June 14?
94 shares @ 5.6¢·now 2.8¢·exp Jun 14, 2026$2.58
$-2.66
- YES
Will the highest temperature in Chengdu be 35°C on June 14?
23 shares @ 9.0¢·now 7.5¢·exp Jun 14, 2026$1.72
$-0.34
- YES
Will the highest temperature in Beijing be 33°C on June 14?
105 shares @ 1.1¢·now 0.9¢·exp Jun 14, 2026$0.94
$-0.21
- YES
Will the highest temperature in Lucknow be 40°C on June 14?
102 shares @ 3.3¢·now 0.6¢·exp Jun 14, 2026$0.61
$-2.77
- YES
Will the highest temperature in Shanghai be 22°C on June 14?
33 shares @ 3.0¢·now 1.8¢·exp Jun 14, 2026$0.60
$-0.40
- YES
Will the highest temperature in Chengdu be 36°C on June 14?
25 shares @ 7.0¢·now 2.1¢·exp Jun 14, 2026$0.51
$-1.24
Recent activity
- REDEEMWill the highest temperature in Taipei be 29°C on June 13?$18.46Jun 13, 16:42 UTC
- REDEEMWill the highest temperature in Guangzhou be 31°C on June 13?$10.97Jun 13, 16:32 UTC
- TRADEBUYWill the highest temperature in Beijing be 32°C on June 14?$1.46Jun 13, 06:14 UTC
- TRADEBUYWill the highest temperature in Beijing be 33°C on June 14?$1.21Jun 13, 06:13 UTC
- TRADEBUYWill the highest temperature in Beijing be 32°C on June 14?$4.03Jun 13, 06:13 UTC
- TRADEBUYWill the highest temperature in Chengdu be 36°C on June 14?$1.83Jun 13, 05:08 UTC
- TRADEBUYWill the highest temperature in Chengdu be 35°C on June 14?$2.15Jun 13, 05:08 UTC
- TRADEBUYWill the highest temperature in Chengdu be 34°C on June 14?$6.41Jun 13, 05:07 UTC
- TRADEBUYWill the highest temperature in Shanghai be 22°C on June 14?$1.05Jun 13, 04:29 UTC
- TRADEBUYWill the highest temperature in Shanghai be 23°C on June 14?$3.61Jun 13, 04:29 UTC
- TRADEBUYWill the highest temperature in Shanghai be 24°C on June 14?$6.18Jun 13, 04:29 UTC
- TRADEBUYWill the highest temperature in Lucknow be 39°C on June 14?$5.23Jun 13, 03:47 UTC
- TRADEBUYWill the highest temperature in Lucknow be 41°C on June 14?$1.57Jun 13, 03:45 UTC
- TRADEBUYWill the highest temperature in Lucknow be 40°C on June 14?$3.54Jun 13, 03:44 UTC
- TRADEBUYWill the highest temperature in Lucknow be 39°C on June 14?$1.05Jun 13, 03:43 UTC
- REDEEMWill the highest temperature in Lucknow be 35°C on June 12?$13.20Jun 12, 19:03 UTC
- REDEEMWill the highest temperature in Guangzhou be 32°C on June 12?$11.59Jun 12, 16:35 UTC
- TRADEBUYWill the highest temperature in Taipei be 29°C on June 13?$2.85Jun 12, 04:26 UTC
- TRADEBUYWill the highest temperature in Taipei be 28°C on June 13?$2.67Jun 12, 04:26 UTC
- TRADEBUYWill the highest temperature in Taipei be 27°C on June 13?$1.68Jun 12, 04:26 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)
- 43
- Avg trade size
- $2.73
- Top category
- —
- Category concentration
- 0%
- First seen
- Jun 10, 20:42 UTC
- Last active
- Jun 13, 16:42 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 is inverted so green means lower risk of over-reading the wallet.