0x001f9d2a58efcb5c109bcbd85bcd7cf2b329fdbb
0x001f9d2a58efcb5c109bcbd85bcd7cf2b329fdbb
Wallet digest
Activity score
28/100
Performance measurable
Open positions
62
Open notional
$0.00
Total PnL
$-415.69
Realised
$11.72
Win rate
33%
6 closed
Largest open positions
showing 10 of 62- YES
Will the highest temperature in Munich be 12°C on April 15?
1425 shares @ 0.1¢·now 0.0¢·exp Apr 15, 2026$0.00
$-1.43
- YES
Will the highest temperature in New York City be between 74-75°F on April 13?
524 shares @ 10.8¢·now 0.0¢·exp Apr 13, 2026$0.00
$-56.81
- YES
Will the highest temperature in Shanghai be 16°C on April 13?
377 shares @ 4.1¢·now 0.0¢·exp Apr 13, 2026$0.00
$-15.44
- YES
Will the highest temperature in Singapore be 35°C or higher on April 19?
295 shares @ 1.2¢·now 0.0¢·exp Apr 19, 2026$0.00
$-3.54
- YES
Will the highest temperature in Seoul be 20°C on April 18?
263 shares @ 29.1¢·now 0.0¢·exp Apr 18, 2026$0.00
$-76.41
- YES
Will the highest temperature in Tokyo be 21°C on April 11?
209 shares @ 0.7¢·now 0.0¢·exp Apr 11, 2026$0.00
$-1.43
- YES
Will the highest temperature in Milan be 22°C on April 11?
112 shares @ 7.5¢·now 0.0¢·exp Apr 11, 2026$0.00
$-8.36
- YES
Will the highest temperature in Guangzhou be 32°C on April 20?
102 shares @ 4.0¢·now 0.0¢·exp Apr 20, 2026$0.00
$-4.09
- YES
Will the highest temperature in London be 12°C on April 21?
99 shares @ 1.9¢·now 0.0¢·exp Apr 21, 2026$0.00
$-1.87
- YES
Will the highest temperature in Shenzhen be 32°C on April 18?
90 shares @ 3.6¢·now 0.0¢·exp Apr 18, 2026$0.00
$-3.26
Recent activity
No activity on record.
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)
- 0
- Avg trade size
- $0.00
- Top category
- —
- Category concentration
- 0%
- First seen
- —
- Last active
- —
- Win rate sample
- 6 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".