0x8375e8fb211fbbd467975ebe476627164b7a7cf4
0x8375e8fb211fbbd467975ebe476627164b7a7cf4
Wallet digest
Activity score
72/100
Performance: thin sample
Open positions
12
Open notional
$50.12
Total PnL
$-8.66
Realised
$0.00
Win rate
n/a
too few closed
Largest open positions
showing 10 of 12- YES
Will the price of Solana be between $140 and $150 on January 16?
15 shares @ 65.0¢·now 100.0¢·exp Jan 16, 2026$15.38
$5.38
- YES
Will the highest temperature in Seoul be 6°C on January 16?
13 shares @ 40.0¢·now 100.0¢·exp Jan 16, 2026$12.65
$7.59
- YES
Will the highest temperature in New York City be between 40-41°F on January 17?
11 shares @ 9.5¢·now 100.0¢·exp Jan 17, 2026$11.11
$10.05
- NO
Will the highest temperature in New York City be between 38-39°F on January 17?
11 shares @ 46.0¢·now 100.0¢·exp Jan 17, 2026$10.98
$5.93
- YES
Will the highest temperature in Seattle be between 56-57°F on January 16?
149 shares @ 3.4¢·now 0.0¢·exp Jan 16, 2026$0.00
$-5.07
- YES
Will the highest temperature in London be 11°C on January 15?
70 shares @ 7.2¢·now 0.0¢·exp Jan 15, 2026$0.00
$-5.03
- YES
Will the highest temperature in Toronto be -4°C on January 16?
62 shares @ 8.0¢·now 0.0¢·exp Jan 16, 2026$0.00
$-5.00
- YES
Will the highest temperature in Seoul be 7°C or higher on January 16?
56 shares @ 8.9¢·now 0.0¢·exp Jan 16, 2026$0.00
$-5.00
- YES
Will the highest temperature in London be 11°C on January 16?
48 shares @ 10.0¢·now 0.0¢·exp Jan 16, 2026$0.00
$-4.76
- YES
Will the highest temperature in Seattle be between 54-55°F on January 16?
29 shares @ 14.0¢·now 0.0¢·exp Jan 16, 2026$0.00
$-4.06
Recent activity
- TRADEBUYWill the highest temperature in Seoul be 7°C or higher on January 16?$4.11Jan 16, 07:20 UTC
- TRADEBUYWill the highest temperature in Seattle be between 54-55°F on January 16?$2.66Jan 16, 07:18 UTC
- TRADEBUYWill the highest temperature in Seoul be 7°C or higher on January 16?$0.89Jan 16, 07:18 UTC
- TRADEBUYWill the highest temperature in Seattle be between 54-55°F on January 16?$1.40Jan 16, 07:18 UTC
- TRADEBUYWill the highest temperature in New York City be between 40-41°F on January 17?$0.11Jan 16, 06:52 UTC
- TRADEBUYWill the highest temperature in New York City be between 38-39°F on January 17?$5.05Jan 16, 06:44 UTC
- TRADEBUYWill the highest temperature in New York City be between 40-41°F on January 17?$0.95Jan 16, 06:34 UTC
- TRADEBUYWill the price of Solana be between $140 and $150 on January 16?$10.00Jan 15, 20:39 UTC
- TRADEBUYWill the highest temperature in Toronto be -4°C on January 16?$2.11Jan 15, 08:09 UTC
- TRADEBUYWill the highest temperature in Seattle be between 56-57°F on January 16?$3.89Jan 15, 07:57 UTC
- TRADEBUYWill the highest temperature in Toronto be -4°C on January 16?$0.09Jan 15, 07:48 UTC
- TRADEBUYWill the highest temperature in Seattle be between 56-57°F on January 16?$0.06Jan 15, 06:01 UTC
- TRADEBUYWill the highest temperature in Seattle be between 56-57°F on January 16?$0.07Jan 15, 06:01 UTC
- TRADEBUYWill the highest temperature in Seattle be between 56-57°F on January 16?$0.17Jan 15, 06:01 UTC
- TRADEBUYWill the highest temperature in Seoul be 6°C on January 16?$3.06Jan 15, 04:52 UTC
- TRADEBUYWill the highest temperature in Seoul be 6°C on January 16?$2.00Jan 15, 04:46 UTC
- TRADEBUYWill the highest temperature in London be 11°C on January 16?$4.54Jan 15, 04:39 UTC
- TRADEBUYWill the highest temperature in London be 11°C on January 16?$0.22Jan 15, 04:29 UTC
- TRADEBUYWill the highest temperature in London be 11°C on January 15?$2.36Jan 15, 04:17 UTC
- TRADEBUYWill the highest temperature in Buenos Aires be 33°C on January 15?$5.07Jan 15, 04:13 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)
- 28
- Avg trade size
- $2.10
- Top category
- —
- Category concentration
- 0%
- First seen
- Jan 15, 03:55 UTC
- Last active
- Jan 16, 07:20 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".