Pleasing-Framework
0x89d5f5de6acfe683125e99821227902e671db17a
Wallet digest
Activity score
50/100
Performance: thin sample
Open positions
4
Open notional
$0.00
Total PnL
$-90.66
Realised
$0.00
Win rate
n/a
too few closed
Largest open positions
- YES
Will the highest temperature in New York City be between 72-73°F on April 1?
411 shares @ 9.8¢·now 0.0¢·exp Apr 1, 2026$0.00
$-40.29
- YES
Will the highest temperature in Hong Kong be 25°C on April 1?
169 shares @ 19.3¢·now 0.0¢·exp Apr 1, 2026$0.00
$-32.65
- YES
Will the highest temperature in Hong Kong be 30°C or higher on April 1?
150 shares @ 6.0¢·now 0.0¢·exp Apr 1, 2026$0.00
$-9.01
- YES
Will the highest temperature in Toronto be 14°C or higher on April 1?
38 shares @ 23.0¢·now 0.0¢·exp Apr 1, 2026$0.00
$-8.71
Recent activity
- TRADEBUYWill the highest temperature in New York City be between 72-73°F on April 1?$4.86Mar 31, 15:39 UTC
- TRADEBUYWill the highest temperature in New York City be between 72-73°F on April 1?$3.50Mar 31, 15:39 UTC
- TRADEBUYWill the highest temperature in New York City be between 72-73°F on April 1?$1.11Mar 31, 14:51 UTC
- TRADEBUYWill the highest temperature in New York City be between 72-73°F on April 1?$0.53Mar 31, 14:42 UTC
- TRADEBUYWill the highest temperature in New York City be between 72-73°F on April 1?$1.00Mar 31, 14:35 UTC
- TRADEBUYWill the highest temperature in New York City be between 72-73°F on April 1?$0.50Mar 31, 14:34 UTC
- TRADEBUYWill the highest temperature in New York City be between 72-73°F on April 1?$0.52Mar 31, 14:29 UTC
- TRADEBUYWill the highest temperature in New York City be between 72-73°F on April 1?$0.38Mar 31, 14:27 UTC
- TRADEBUYWill the highest temperature in New York City be between 72-73°F on April 1?$0.28Mar 31, 14:27 UTC
- TRADEBUYWill the highest temperature in New York City be between 72-73°F on April 1?$0.25Mar 31, 14:17 UTC
- TRADEBUYWill the highest temperature in New York City be between 72-73°F on April 1?$0.56Mar 31, 14:02 UTC
- TRADEBUYWill the highest temperature in New York City be between 72-73°F on April 1?$2.45Mar 31, 04:22 UTC
- TRADEBUYWill the highest temperature in Hong Kong be 25°C on April 1?$2.23Mar 31, 04:22 UTC
- TRADEBUYWill the highest temperature in New York City be between 72-73°F on April 1?$1.12Mar 31, 04:08 UTC
- TRADEBUYWill the highest temperature in New York City be between 72-73°F on April 1?$0.15Mar 31, 04:04 UTC
- TRADEBUYWill the highest temperature in New York City be between 72-73°F on April 1?$0.65Mar 31, 04:02 UTC
- TRADEBUYWill the highest temperature in New York City be between 72-73°F on April 1?$1.12Mar 31, 03:52 UTC
- TRADEBUYWill the highest temperature in Hong Kong be 25°C on April 1?$2.73Mar 31, 03:52 UTC
- TRADEBUYWill the highest temperature in New York City be between 72-73°F on April 1?$0.83Mar 31, 03:26 UTC
- TRADEBUYWill the highest temperature in New York City be between 72-73°F on April 1?$2.54Mar 31, 03:22 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
- $1.43
- Top category
- —
- Category concentration
- 0%
- First seen
- Mar 31, 00:56 UTC
- Last active
- Mar 31, 15:39 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".