Impassioned-Goose
0xcbd3829ab77353700b121070e09d388beb44ff47
Wallet digest
Activity score
48/100
Performance: thin sample
Open positions
6
Open notional
$0.00
Total PnL
$-70.53
Realised
$0.00
Win rate
n/a
too few closed
Largest open positions
- YES
Will the highest temperature in London be 6°C or higher on January 10?
100 shares @ 1.3¢·now 0.0¢·exp Jan 10, 2026$0.00
$-1.30
- YES
Will the highest temperature in Seoul be 7°C on January 10?
80 shares @ 34.0¢·now 0.0¢·exp Jan 10, 2026$0.00
$-27.20
- YES
Will the highest temperature in Seoul be 5°C on January 9?
62 shares @ 32.3¢·now 0.0¢·exp Jan 9, 2026$0.00
$-20.00
- YES
Will the highest temperature in Seattle be between 48-49°F on January 9?
56 shares @ 36.0¢·now 0.0¢·exp Jan 9, 2026$0.00
$-19.98
- YES
Will the highest temperature in Seoul be -3°C or below on January 8?
10 shares @ 10.0¢·now 0.0¢·exp Jan 8, 2026$0.00
$-1.00
- YES
Will the highest temperature in Dallas be between 68-69°F on January 9?
5 shares @ 21.0¢·now 0.0¢·exp Jan 9, 2026$0.00
$-1.05
Recent activity
- TRADESELLUS government shutdown Saturday?$22.00Jan 27, 12:52 UTC
- TRADEBUYUS government shutdown Saturday?$28.00Jan 25, 14:17 UTC
- TRADEBUYWill the highest temperature in London be 6°C or higher on January 10?$0.04Jan 10, 02:17 UTC
- TRADEBUYWill the highest temperature in London be 6°C or higher on January 10?$0.59Jan 10, 01:47 UTC
- TRADEBUYWill the highest temperature in London be 6°C or higher on January 10?$0.66Jan 10, 01:43 UTC
- TRADEBUYWill the highest temperature in London be 6°C or higher on January 10?$0.01Jan 10, 01:40 UTC
- TRADEBUYWill the highest temperature in Seoul be 7°C on January 10?$6.20Jan 9, 15:47 UTC
- TRADEBUYWill the highest temperature in Seoul be 7°C on January 10?$21.00Jan 9, 15:45 UTC
- TRADEBUYWill the highest temperature in Seattle be between 48-49°F on January 9?$5.40Jan 9, 15:07 UTC
- TRADEBUYWill the highest temperature in Seattle be between 48-49°F on January 9?$14.58Jan 9, 15:02 UTC
- TRADEBUYWill the highest temperature in Dallas be between 68-69°F on January 9?$1.05Jan 9, 02:23 UTC
- TRADEBUYWill the highest temperature in Seoul be 5°C on January 9?$20.00Jan 9, 00:19 UTC
- TRADESELLWill the highest temperature in New York City be between 48-49°F on January 8?$99.80Jan 8, 23:12 UTC
- TRADEBUYWill the highest temperature in New York City be between 48-49°F on January 8?$0.78Jan 8, 18:04 UTC
- TRADEBUYWill the highest temperature in New York City be between 48-49°F on January 8?$0.80Jan 8, 18:03 UTC
- TRADEBUYWill the highest temperature in New York City be between 48-49°F on January 8?$14.42Jan 8, 18:03 UTC
- TRADESELLWill the highest temperature in London be 8°C or higher on January 8?$18.00Jan 8, 17:12 UTC
- TRADEBUYWill the highest temperature in London be 8°C or higher on January 8?$0.77Jan 8, 15:32 UTC
- TRADEBUYWill the highest temperature in London be 8°C or higher on January 8?$8.23Jan 8, 15:31 UTC
- TRADEBUYWill the highest temperature in London be 8°C or higher on January 8?$8.20Jan 8, 15:30 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)
- 21
- Avg trade size
- $12.93
- Top category
- —
- Category concentration
- 0%
- First seen
- Jan 8, 05:31 UTC
- Last active
- Jan 27, 12:52 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 bar is inverted so green is always "better for the user".