Jolly-Mailer
0x6769e81d9eb047afc5ebaf149ba5dbac0b6429f6
Wallet digest
Activity score
50/100
Performance: thin sample
Open positions
75
Open notional
$0.00
Total PnL
$-155.99
Realised
$0.00
Win rate
n/a
too few closed
Largest open positions
showing 10 of 75- YES
Will the highest temperature in Tokyo be 13°C on April 30?
222 shares @ 0.9¢·now 0.0¢·exp Apr 30, 2026$0.00
$-2.00
- YES
Will the highest temperature in Buenos Aires be 20°C on April 29?
213 shares @ 1.9¢·now 0.0¢·exp Apr 29, 2026$0.00
$-4.00
- YES
Will the highest temperature in Cape Town be 16°C on April 30?
201 shares @ 1.0¢·now 0.0¢·exp Apr 30, 2026$0.00
$-2.00
- YES
Will the highest temperature in Beijing be 25°C or below on April 30?
201 shares @ 1.0¢·now 0.0¢·exp Apr 30, 2026$0.00
$-2.00
- YES
Will the highest temperature in Busan be 20°C on May 1?
187 shares @ 1.1¢·now 0.0¢·exp May 1, 2026$0.00
$-2.00
- YES
Will the highest temperature in Warsaw be 10°C on April 30?
174 shares @ 1.1¢·now 0.0¢·exp Apr 30, 2026$0.00
$-2.00
- YES
Will the highest temperature in Manila be 32°C on May 1?
169 shares @ 1.2¢·now 0.0¢·exp May 1, 2026$0.00
$-2.00
- YES
Will the highest temperature in Buenos Aires be 20°C on April 30?
167 shares @ 1.2¢·now 0.0¢·exp Apr 30, 2026$0.00
$-2.00
- YES
Will the highest temperature in Buenos Aires be 21°C on April 29?
151 shares @ 4.0¢·now 0.0¢·exp Apr 29, 2026$0.00
$-6.00
- YES
Will the highest temperature in Shenzhen be 24°C on May 1?
148 shares @ 1.3¢·now 0.0¢·exp May 1, 2026$0.00
$-2.00
Recent activity
- REDEEMWill the highest temperature in Miami be between 86-87°F on May 1?$20.00May 2, 07:06 UTC
- REDEEMWill the highest temperature in Chengdu be 20°C on May 1?$13.33May 1, 18:31 UTC
- REDEEMWill the highest temperature in Singapore be 31°C on May 1?$14.29May 1, 18:17 UTC
- TRADEBUYWill the highest temperature in Sao Paulo be 25°C on April 30?$2.09Apr 30, 07:11 UTC
- TRADEBUYWill the highest temperature in Sao Paulo be 24°C on April 30?$2.10Apr 30, 07:11 UTC
- TRADEBUYWill the highest temperature in Beijing be 30°C on May 1?$2.10Apr 30, 07:11 UTC
- TRADEBUYWill the highest temperature in Beijing be 29°C on May 1?$2.09Apr 30, 07:11 UTC
- TRADEBUYWill the highest temperature in Manila be 32°C on May 1?$2.10Apr 30, 07:11 UTC
- TRADEBUYWill the highest temperature in Toronto be 9°C on April 30?$2.09Apr 30, 06:12 UTC
- TRADEBUYWill the highest temperature in Toronto be 8°C on April 30?$2.10Apr 30, 06:11 UTC
- TRADEBUYWill the highest temperature in Guangzhou be 25°C on May 1?$2.10Apr 30, 06:11 UTC
- TRADEBUYWill the highest temperature in Guangzhou be 26°C on May 1?$2.09Apr 30, 06:11 UTC
- TRADEBUYWill the highest temperature in Moscow be 7°C on April 30?$2.09Apr 30, 06:11 UTC
- TRADEBUYWill the highest temperature in Moscow be 8°C on April 30?$2.09Apr 30, 06:11 UTC
- TRADEBUYWill the highest temperature in Manila be 34°C on May 1?$2.09Apr 30, 06:11 UTC
- TRADEBUYWill the highest temperature in Manila be 33°C on May 1?$2.10Apr 30, 06:11 UTC
- TRADEBUYWill the highest temperature in Shenzhen be 25°C on May 1?$2.09Apr 30, 06:11 UTC
- TRADEBUYWill the highest temperature in Shenzhen be 24°C on May 1?$2.10Apr 30, 06:11 UTC
- TRADEBUYWill the highest temperature in Madrid be 20°C on April 30?$2.09Apr 30, 06:11 UTC
- TRADEBUYWill the highest temperature in Busan be 21°C on May 1?$2.10Apr 30, 06:11 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)
- 47
- Avg trade size
- $2.09
- Top category
- —
- Category concentration
- 0%
- First seen
- Apr 29, 14:12 UTC
- Last active
- May 2, 07:06 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.