0x3a35e115fc003e28666381ab9835731d5f432596
0x3a35e115fc003e28666381ab9835731d5f432596
Wallet digest
Activity score
61/100
Performance: thin sample
Open positions
14
Open notional
$12.66
Total PnL
$-23.50
Realised
$0.27
Win rate
n/a
too few closed
Largest open positions
showing 10 of 14- NO
Will the highest temperature in Lucknow be 39°C or below on June 10?
6 shares @ 63.6¢·now 100.0¢·exp Jun 10, 2026$6.16
$2.24
- NO
Will the highest temperature in Lucknow be 40°C or below on June 9?
2 shares @ 85.3¢·now 100.0¢·exp Jun 9, 2026$2.29
$0.34
- NO
Will the highest temperature in London be 19°C or higher on June 11?
2 shares @ 93.2¢·now 100.0¢·exp Jun 11, 2026$2.11
$0.14
- NO
Will the highest temperature in Guangzhou be 32°C or higher on June 9?
2 shares @ 90.6¢·now 100.0¢·exp Jun 9, 2026$2.10
$0.20
- YES
Will the highest temperature in Chongqing be 30°C or below on June 5?
12 shares @ 26.0¢·now 0.0¢·exp Jun 5, 2026$0.00
$-3.00
- NO
Will the highest temperature in Panama City be 31°C or higher on June 5?
11 shares @ 52.9¢·now 0.0¢·exp Jun 5, 2026$0.00
$-6.00
- NO
Will the highest temperature in Shenzhen be 29°C on April 28?
11 shares @ 15.0¢·now 0.0¢·exp Apr 28, 2026$0.00
$-1.69
- NO
Will the highest temperature in Hong Kong be 26°C or higher on May 4?
6 shares @ 32.0¢·now 0.0¢·exp May 4, 2026$0.00
$-2.00
- NO
Will the highest temperature in Panama City be 31°C or higher on June 4?
5 shares @ 55.0¢·now 0.0¢·exp Jun 4, 2026$0.00
$-3.00
- NO
Will the highest temperature in Sao Paulo be 20°C or below on May 15?
5 shares @ 57.0¢·now 0.0¢·exp May 15, 2026$0.00
$-3.00
Recent activity
- TRADEBUYWill the highest temperature in London be 19°C or higher on June 11?$1.97Jun 9, 18:52 UTC
- TRADEBUYWill the highest temperature in Lucknow be 39°C or below on June 10?$1.95Jun 9, 14:58 UTC
- TRADESELLWill the highest temperature in Lucknow be 40°C or below on June 9?$2.05Jun 9, 07:40 UTC
- TRADESELLWill the highest temperature in Guangzhou be 32°C or higher on June 9?$2.08Jun 9, 05:01 UTC
- TRADEBUYWill the highest temperature in Guangzhou be 32°C or higher on June 9?$1.95Jun 8, 13:39 UTC
- TRADEBUYWill the highest temperature in Lucknow be 40°C or below on June 9?$1.92Jun 8, 12:13 UTC
- TRADEBUYWill the highest temperature in Lucknow be 39°C or below on June 10?$2.04Jun 8, 12:07 UTC
- TRADEBUYWill the highest temperature in Guangzhou be 32°C or higher on June 9?$1.96Jun 8, 10:07 UTC
- TRADEBUYWill the highest temperature in Lucknow be 40°C or below on June 9?$1.94Jun 7, 12:22 UTC
- REDEEMWill the highest temperature in Chongqing be 35°C or higher on June 6?$0.01Jun 7, 04:29 UTC
- TRADESELLWill the highest temperature in Munich be 24°C or higher on June 6?$2.17Jun 6, 07:11 UTC
- TRADESELLWill the highest temperature in Chongqing be 35°C or higher on June 6?$4.76Jun 6, 07:11 UTC
- TRADESELLWill the lowest temperature in Miami be 69°F or below on June 7?$1.98Jun 6, 07:11 UTC
- TRADEBUYWill the lowest temperature in Miami be 69°F or below on June 7?$2.00Jun 6, 07:05 UTC
- TRADESELLWill the highest temperature in Hong Kong be 36°C or higher on June 5?$3.29Jun 6, 07:02 UTC
- REDEEMWill the highest temperature in Dallas be 88°F or higher on June 5?$3.19Jun 6, 06:56 UTC
- TRADESELLWill the highest temperature in Munich be 24°C or higher on June 6?$4.25Jun 6, 01:05 UTC
- TRADEBUYWill the highest temperature in Chongqing be 35°C or higher on June 6?$2.04Jun 5, 12:22 UTC
- TRADEBUYWill the highest temperature in Munich be 24°C or higher on June 6?$2.01Jun 5, 12:11 UTC
- TRADEBUYWill the highest temperature in Munich be 24°C or higher on June 6?$4.02Jun 5, 05:59 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)
- 39
- Avg trade size
- $2.68
- Top category
- —
- Category concentration
- 0%
- First seen
- May 13, 08:08 UTC
- Last active
- Jun 9, 18:52 UTC
- Win rate sample
- 2 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.