0xd5adf0a03c812c06e22d4119c57edbeadec58c19
0xd5adf0a03c812c06e22d4119c57edbeadec58c19
Wallet digest
Activity score
75/100
Performance: thin sample
Open positions
5
Open notional
$20.27
Total PnL
$-1.13
Realised
$0.00
Win rate
n/a
too few closed
Largest open positions
- NO
Will the highest temperature in Toronto be -7°C on January 28?
7 shares @ 96.6¢·now 100.0¢·exp Jan 28, 2026$6.65
$0.23
- NO
Will the highest temperature in Atlanta be between 44-45°F on January 28?
6 shares @ 91.6¢·now 100.0¢·exp Jan 28, 2026$5.84
$0.49
- NO
Will the highest temperature in Toronto be -8°C on January 28?
4 shares @ 98.0¢·now 100.0¢·exp Jan 28, 2026$4.37
$0.09
- NO
Will the highest temperature in Seoul be -4°C on January 29?
3 shares @ 94.0¢·now 100.0¢·exp Jan 29, 2026$3.41
$0.20
- YES
Will the highest temperature in Atlanta be between 48-49°F on January 29?
4 shares @ 53.1¢·now 0.0¢·exp Jan 29, 2026$0.00
$-2.14
Recent activity
- TRADESELLWill the highest temperature in Buenos Aires be 35°C on January 30?$0.50Jan 30, 19:17 UTC
- TRADESELLWill the highest temperature in Buenos Aires be 35°C on January 30?$0.02Jan 30, 19:16 UTC
- TRADESELLWill the highest temperature in Buenos Aires be 35°C on January 30?$0.03Jan 30, 19:16 UTC
- TRADESELLWill the highest temperature in Buenos Aires be 35°C on January 30?$0.01Jan 30, 19:16 UTC
- TRADEBUYWill the highest temperature in Buenos Aires be 35°C on January 30?$0.16Jan 30, 18:53 UTC
- TRADESELLWill the highest temperature in Dallas be 52°F or higher on January 30?$0.12Jan 30, 17:27 UTC
- TRADESELLWill the highest temperature in Dallas be 52°F or higher on January 30?$0.61Jan 30, 17:26 UTC
- TRADEBUYWill the highest temperature in Dallas be 52°F or higher on January 30?$1.05Jan 29, 20:50 UTC
- TRADEBUYWill the highest temperature in Atlanta be between 48-49°F on January 29?$1.07Jan 29, 20:02 UTC
- TRADEBUYWill the highest temperature in Atlanta be between 48-49°F on January 29?$1.07Jan 29, 19:42 UTC
- TRADESELLWill the highest temperature in London be 9°C on January 29?$4.25Jan 29, 11:46 UTC
- TRADEBUYWill the highest temperature in London be 9°C on January 29?$1.07Jan 28, 22:04 UTC
- TRADEBUYWill the highest temperature in London be 9°C on January 29?$1.07Jan 28, 22:04 UTC
- TRADEBUYWill the highest temperature in London be 9°C on January 29?$1.07Jan 28, 22:04 UTC
- TRADEBUYWill the highest temperature in London be 9°C on January 29?$1.07Jan 28, 22:04 UTC
- TRADEBUYWill the highest temperature in Seoul be -4°C on January 29?$1.07Jan 28, 18:37 UTC
- TRADEBUYWill the highest temperature in Seoul be -4°C on January 29?$1.07Jan 28, 18:37 UTC
- TRADEBUYWill the highest temperature in Seoul be -4°C on January 29?$1.07Jan 28, 18:37 UTC
- TRADESELLWill the highest temperature in Miami be 68°F or higher on January 28?$2.28Jan 28, 18:30 UTC
- TRADEBUYWill the highest temperature in Toronto be -7°C on January 28?$1.07Jan 28, 18:17 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)
- 42
- Avg trade size
- $1.23
- Top category
- —
- Category concentration
- 0%
- First seen
- Jan 28, 17:32 UTC
- Last active
- Jan 30, 19:17 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".