Exhausted-Messy
0xe36924bcb580090179a8f54e7a0369e0eec0996c
Wallet digest
Activity score
50/100
Performance: thin sample
Open positions
34
Open notional
$0.00
Total PnL
$-40.46
Realised
$-0.40
Win rate
n/a
too few closed
Largest open positions
showing 10 of 34- YES
Will the highest temperature in Beijing be 26°C on April 30?
880 shares @ 0.4¢·now 0.0¢·exp Apr 30, 2026$0.00
$-4.00
- NO
Will there be no change in Fed interest rates after the April 2026 meeting?
500 shares @ 0.2¢·now 0.0¢·exp Apr 29, 2026$0.00
$-1.00
- YES
Will Apple be the largest company in the world by market cap on April 30?
500 shares @ 0.2¢·now 0.0¢·exp Apr 30, 2026$0.00
$-1.00
- YES
Will the highest temperature in Lucknow be 42°C on April 30?
400 shares @ 0.2¢·now 0.0¢·exp Apr 30, 2026$0.00
$-1.00
- YES
Will the highest temperature in Beijing be 25°C or below on April 30?
393 shares @ 0.5¢·now 0.0¢·exp Apr 30, 2026$0.00
$-2.00
- YES
Will the highest temperature in Beijing be 23°C or below on May 1?
167 shares @ 0.6¢·now 0.0¢·exp May 1, 2026$0.00
$-1.00
- YES
Will the highest temperature in Lucknow be 43°C on April 29?
166 shares @ 0.6¢·now 0.0¢·exp Apr 29, 2026$0.00
$-0.95
- YES
Will the highest temperature in Lucknow be 41°C on April 30?
149 shares @ 0.7¢·now 0.0¢·exp Apr 30, 2026$0.00
$-1.00
- YES
Will the highest temperature in Lucknow be 36°C on April 30?
133 shares @ 1.5¢·now 0.0¢·exp Apr 30, 2026$0.00
$-2.00
- NO
Will the highest temperature in Lucknow be 35°C or below on April 30?
122 shares @ 0.8¢·now 0.0¢·exp Apr 30, 2026$0.00
$-1.00
Recent activity
- TRADESELLWill the highest temperature in Lucknow be 39°C on May 2?$0.14May 1, 12:17 UTC
- TRADESELLWill the highest temperature in Beijing be 21°C or below on May 2?$0.29May 1, 12:16 UTC
- TRADESELLWill the highest temperature in Lucknow be 41°C on May 2?$0.17May 1, 12:16 UTC
- TRADESELLWill the highest temperature in Lucknow be 38°C on May 2?$0.50May 1, 12:16 UTC
- TRADESELLWill the highest temperature in Beijing be 21°C or below on May 2?$0.43May 1, 12:16 UTC
- TRADESELLWill the highest temperature in Beijing be 22°C on May 2?$0.84May 1, 12:16 UTC
- TRADESELLWill the highest temperature in Lucknow be 36°C or below on May 2?$7.04May 1, 12:16 UTC
- TRADEBUYBitcoin Up or Down - May 1, 7:45AM-8:00AM ET$1.02May 1, 11:54 UTC
- TRADEBUYWill the highest temperature in Lucknow be 36°C or below on May 2?$5.15May 1, 09:16 UTC
- TRADEBUYWill the highest temperature in Beijing be 22°C on May 2?$1.03May 1, 09:14 UTC
- TRADEBUYWill the highest temperature in Beijing be 21°C or below on May 2?$1.04May 1, 09:13 UTC
- TRADESELLWill the highest temperature in Beijing be 28°C on May 2?$0.11May 1, 09:13 UTC
- TRADESELLWill the highest temperature in Beijing be 25°C on May 2?$0.85May 1, 09:13 UTC
- TRADESELLWill the highest temperature in Beijing be 24°C on May 2?$1.03May 1, 09:12 UTC
- TRADEBUYWill the highest temperature in Lucknow be 34°C or below on May 1?$0.22May 1, 08:29 UTC
- TRADESELLWill the highest temperature in Beijing be 27°C on May 2?$0.55May 1, 08:22 UTC
- TRADESELLWill the highest temperature in Beijing be 26°C on May 1?$8.29May 1, 08:19 UTC
- TRADEBUYWill the highest temperature in Lucknow be 34°C or below on May 1?$1.05May 1, 07:47 UTC
- TRADESELLWill the highest temperature in Lucknow be 39°C on May 1?$0.06May 1, 07:47 UTC
- TRADESELLWill the highest temperature in Beijing be 26°C on May 2?$0.44May 1, 07:46 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)
- 50
- Avg trade size
- $1.62
- Top category
- —
- Category concentration
- 0%
- First seen
- Apr 30, 06:24 UTC
- Last active
- May 1, 12:17 UTC
- Win rate sample
- 1 closed
The single Activity score is kept for the leaderboard sort. The five dimensions above are the canonical read; copy-risk is inverted so green means lower risk of over-reading the wallet.