0x8a62eeb8d249f85256ff167786e918cb687dace3
0x8a62eeb8d249f85256ff167786e918cb687dace3
Wallet digest
Activity score
63/100
Performance: thin sample
Open positions
130
Open notional
$16.90
Total PnL
$-1.4K
Realised
$0.03
Win rate
n/a
too few closed
Largest open positions
showing 10 of 130- NO
Will the highest temperature in New York City be between 96-97°F on May 19?
5 shares @ 99.4¢·now 100.0¢·exp May 19, 2026$4.91
$0.03
- NO
Will the highest temperature in New York City be between 100-101°F on May 19?
4 shares @ 99.4¢·now 100.0¢·exp May 19, 2026$4.01
$0.02
- NO
Will the highest temperature in New York City be between 98-99°F on May 19?
4 shares @ 99.4¢·now 100.0¢·exp May 19, 2026$4.00
$0.02
- NO
Will the highest temperature in New York City be between 102-103°F on May 19?
4 shares @ 99.4¢·now 100.0¢·exp May 19, 2026$3.99
$0.02
- NO
Will the lowest temperature in New York City be between 68-69°F on April 15?
38717 shares @ 0.6¢·now 0.0¢·exp Apr 16, 2026$0.00
$-233.15
- NO
Will the highest temperature in Chicago be 58°F or higher on April 14?
1901 shares @ 0.9¢·now 0.0¢·exp Apr 14, 2026$0.00
$-17.11
- NO
Will the highest temperature in Chicago be 74°F or higher on April 13?
164 shares @ 7.0¢·now 0.0¢·exp Apr 13, 2026$0.00
$-11.48
- NO
Will the highest temperature in Dallas be 82°F or higher on April 13?
101 shares @ 10.0¢·now 0.0¢·exp Apr 13, 2026$0.00
$-10.12
- YES
Will the highest temperature in Seattle be between 52-53°F on March 19?
100 shares @ 1.0¢·now 0.0¢·exp Mar 19, 2026$0.00
$-1.00
- YES
Will the highest temperature in Chicago be between 66-67°F on March 20?
100 shares @ 0.1¢·now 0.0¢·exp Mar 20, 2026$0.00
$-0.10
Recent activity
- TRADESELLWill the highest temperature in New York City be between 96-97°F on May 19?$5.08May 20, 03:56 UTC
- TRADEBUYWill the highest temperature in New York City be between 96-97°F on May 19?$5.96May 19, 23:25 UTC
- TRADEBUYWill the highest temperature in New York City be between 98-99°F on May 19?$3.98May 19, 23:24 UTC
- TRADEBUYWill the highest temperature in New York City be between 96-97°F on May 19?$3.98May 19, 23:20 UTC
- TRADEBUYWill the highest temperature in New York City be between 100-101°F on May 19?$3.99May 19, 23:18 UTC
- TRADEBUYWill the highest temperature in New York City be between 102-103°F on May 19?$3.97May 19, 23:16 UTC
- TRADEBUYWill the highest temperature in London be 16°C on May 19?$9.95May 19, 16:25 UTC
- REDEEMWill the highest temperature in Hong Kong be 28°C on May 16?$10.00May 18, 06:10 UTC
- REDEEMWill the highest temperature in Hong Kong be 29°C or higher on May 16?$14.06May 18, 06:03 UTC
- REDEEMWill the highest temperature in Hong Kong be 29°C or higher on May 15?$14.00May 18, 06:03 UTC
- REDEEMWill the highest temperature in Hong Kong be 26°C on May 16?$10.00May 18, 05:54 UTC
- TRADEBUYWill the highest temperature in Hong Kong be 26°C on May 16?$9.96May 18, 03:59 UTC
- TRADEBUYWill the highest temperature in Hong Kong be 28°C on May 16?$9.95May 18, 02:21 UTC
- TRADESELLWill the highest temperature in Hong Kong be 26°C on May 17?$9.99May 17, 23:31 UTC
- TRADESELLWill the highest temperature in Hong Kong be 26°C on May 17?$9.99May 17, 23:24 UTC
- REDEEMWill the highest temperature in Singapore be 33°C or higher on May 17?$4.76May 17, 22:22 UTC
- REDEEMWill the highest temperature in New York City be between 82-83°F on May 17?$5.00May 17, 22:07 UTC
- REDEEMWill the highest temperature in Madrid be 20°C on May 17?$5.01May 17, 22:06 UTC
- REDEEMWill the highest temperature in New York City be between 80-81°F on May 17?$14.07May 17, 22:06 UTC
- REDEEMWill the highest temperature in Paris be 13°C on May 17?$13.00May 17, 22:06 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)
- 38
- Avg trade size
- $9.37
- Top category
- —
- Category concentration
- 0%
- First seen
- May 17, 14:52 UTC
- Last active
- May 20, 03:56 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 bar is inverted so green is always "better for the user".