Prime-Cottage
0x3c99a9dea75b69fe804deecdcc9a9c0fd2c63cc4
Wallet digest
Activity score
85/100
Performance measurable
Open positions
200
Open notional
$120.15
Total PnL
$-175.21
Realised
$40.56
Win rate
86%
43 closed
Largest open positions
showing 10 of 200- YES
GPT-5.6 released by July 31, 2026?
20 shares @ 83.0¢·now 88.6¢·exp Jul 31, 2026$17.72
$1.12
- YES
Will the highest temperature in Seoul be 26°C on June 1?
100 shares @ 3.0¢·now 12.0¢·exp Jun 1, 2026$12.00
$9.00
- YES
Will the highest temperature in Hong Kong be 34°C or higher on May 29?
10 shares @ 27.0¢·now 100.0¢·exp May 29, 2026$9.99
$7.29
- YES
Will the highest temperature in Shenzhen be 33°C on June 1?
56 shares @ 5.0¢·now 15.0¢·exp Jun 1, 2026$8.38
$5.58
- YES
GPT-5.6 released by June 8, 2026?
50 shares @ 8.0¢·now 13.0¢·exp Jun 8, 2026$6.50
$2.50
- YES
Will the highest temperature in Chengdu be 30°C on June 1?
100 shares @ 4.1¢·now 5.9¢·exp Jun 1, 2026$5.85
$1.75
- YES
Will the highest temperature in Wuhan be 34°C on June 1?
56 shares @ 6.7¢·now 7.5¢·exp Jun 1, 2026$4.21
$0.46
- YES
Will the highest temperature in Kuala Lumpur be 35°C on June 1?
20 shares @ 7.0¢·now 19.5¢·exp Jun 1, 2026$3.90
$2.50
- YES
Will the highest temperature in Singapore be 33°C on June 1?
50 shares @ 7.0¢·now 7.5¢·exp Jun 1, 2026$3.75
$0.25
- YES
Will the highest temperature in Guangzhou be 32°C on June 1?
50 shares @ 4.8¢·now 7.2¢·exp Jun 1, 2026$3.60
$1.20
Recent activity
- TRADEBUYWill the highest temperature in Qingdao be 30°C on June 1?$0.30Jun 1, 04:29 UTC
- TRADEBUYWill the highest temperature in Guangzhou be 36°C on June 1?$0.26Jun 1, 04:27 UTC
- TRADEBUYWill the highest temperature in Seoul be 26°C on June 1?$3.00Jun 1, 04:26 UTC
- TRADEBUYWill the highest temperature in Lucknow be 37°C on June 1?$0.29Jun 1, 04:25 UTC
- TRADEBUYWill the highest temperature in Guangzhou be 36°C on June 1?$1.04Jun 1, 04:21 UTC
- TRADEBUYWill the highest temperature in Hong Kong be 33°C or higher on June 1?$0.17Jun 1, 04:18 UTC
- TRADEBUYWill the highest temperature in Qingdao be 30°C on June 1?$0.13Jun 1, 04:16 UTC
- TRADEBUYWill the highest temperature in Hong Kong be 33°C or higher on June 1?$0.74Jun 1, 04:15 UTC
- TRADEBUYWill the highest temperature in Taipei be 31°C or higher on June 1?$1.40Jun 1, 04:15 UTC
- TRADEBUYWill the highest temperature in Shanghai be 30°C on June 1?$3.19Jun 1, 04:12 UTC
- TRADESELLWill the highest temperature in Shenzhen be 29°C on June 1?$0.10Jun 1, 04:11 UTC
- TRADEBUYWill the highest temperature in Qingdao be 30°C on June 1?$0.30Jun 1, 04:04 UTC
- TRADEBUYWill the highest temperature in Qingdao be 30°C on June 1?$0.30Jun 1, 04:04 UTC
- TRADEBUYWill the highest temperature in Singapore be 33°C on June 1?$2.97Jun 1, 04:01 UTC
- TRADEBUYWill the highest temperature in Singapore be 33°C on June 1?$0.30Jun 1, 04:00 UTC
- TRADEBUYWill the highest temperature in Seoul be 27°C or higher on June 1?$0.36Jun 1, 03:58 UTC
- TRADEBUYWill the highest temperature in Seoul be 27°C or higher on June 1?$0.18Jun 1, 03:57 UTC
- TRADEBUYWill the highest temperature in Qingdao be 30°C on June 1?$0.30Jun 1, 03:57 UTC
- TRADEBUYWill the highest temperature in Singapore be 33°C on June 1?$0.23Jun 1, 03:57 UTC
- TRADESELLWill the highest temperature in Singapore be 30°C on June 1?$0.02Jun 1, 03:56 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)
- 48
- Avg trade size
- $0.54
- Top category
- —
- Category concentration
- 0%
- First seen
- Jun 1, 00:31 UTC
- Last active
- Jun 1, 04:29 UTC
- Win rate sample
- 43 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".