Palatable-Cage
0xa386bdcdd393095e7ceaa4a992f3c8bb0fdd4702
Wallet digest
Activity score
79/100
Performance: thin sample
Open positions
19
Open notional
$83.90
Total PnL
$-5.34
Realised
$0.00
Win rate
n/a
too few closed
Largest open positions
showing 10 of 19- YES
Will the highest temperature in Dallas be 84°F or higher on April 1?
12 shares @ 49.0¢·now 100.0¢·exp Apr 1, 2026$12.08
$6.16
- NO
Will the highest temperature in Istanbul be 15°C on March 31?
7 shares @ 66.9¢·now 100.0¢·exp Mar 31, 2026$7.39
$2.45
- NO
Will the highest temperature in Miami be between 80-81°F on April 1?
7 shares @ 72.0¢·now 100.0¢·exp Apr 1, 2026$6.87
$1.92
- NO
Will the highest temperature in New York City be between 72-73°F on March 31?
7 shares @ 76.0¢·now 100.0¢·exp Mar 31, 2026$6.51
$1.56
- NO
Will the highest temperature in Buenos Aires be 29°C on April 2?
6 shares @ 79.3¢·now 100.0¢·exp Apr 2, 2026$6.24
$1.29
- NO
Will the highest temperature in Miami be between 82-83°F on April 1?
6 shares @ 82.0¢·now 100.0¢·exp Apr 1, 2026$6.04
$1.09
- NO
Will the highest temperature in Chengdu be 23°C on April 2?
6 shares @ 83.5¢·now 100.0¢·exp Apr 2, 2026$5.93
$0.97
- NO
Will the highest temperature in Dallas be between 80-81°F on April 1?
6 shares @ 85.0¢·now 100.0¢·exp Apr 1, 2026$5.83
$0.87
- NO
Will the highest temperature in Chengdu be 24°C on April 2?
6 shares @ 85.0¢·now 100.0¢·exp Apr 2, 2026$5.83
$0.87
- NO
Will the highest temperature in Los Angeles be between 64-65°F on April 2?
6 shares @ 88.0¢·now 100.0¢·exp Apr 2, 2026$5.64
$0.68
Recent activity
- TRADEBUYWill the highest temperature in Seattle be between 48-49°F on March 29?$2.00Mar 29, 18:42 UTC
- TRADEBUYWill the highest temperature in Buenos Aires be 25°C on April 2?$2.00Mar 29, 18:41 UTC
- TRADEBUYWill the highest temperature in Dallas be 84°F or higher on April 1?$6.00Mar 29, 18:40 UTC
- TRADEBUYWill the highest temperature in Dallas be between 76-77°F on April 1?$5.00Mar 29, 15:17 UTC
- TRADEBUYWill the highest temperature in Los Angeles be between 64-65°F on April 2?$5.00Mar 29, 15:12 UTC
- TRADEBUYWill the highest temperature in Chengdu be 24°C on April 2?$5.00Mar 29, 15:10 UTC
- TRADEBUYWill the highest temperature in Miami be between 80-81°F on April 1?$5.00Mar 29, 15:08 UTC
- TRADEBUYWill the highest temperature in New York City be between 72-73°F on March 31?$5.00Mar 29, 15:07 UTC
- TRADEBUYWill the highest temperature in Buenos Aires be 28°C on April 2?$5.00Mar 29, 15:06 UTC
- TRADEBUYWill the highest temperature in Dallas be between 80-81°F on April 1?$5.00Mar 29, 15:05 UTC
- TRADEBUYWill the highest temperature in Los Angeles be between 68-69°F on April 2?$5.00Mar 29, 15:04 UTC
- TRADEBUYWill the highest temperature in Chengdu be 23°C on April 2?$5.00Mar 29, 15:04 UTC
- TRADEBUYWill the highest temperature in Dallas be between 72-73°F on April 1?$5.00Mar 29, 15:03 UTC
- TRADEBUYWill the highest temperature in Buenos Aires be 29°C on April 2?$5.00Mar 29, 15:03 UTC
- TRADEBUYWill the highest temperature in Miami be between 82-83°F on April 1?$5.00Mar 29, 15:02 UTC
- TRADEBUYWill the highest temperature in New York City be 74°F or higher on March 31?$5.00Mar 29, 15:01 UTC
- TRADEBUYWill the highest temperature in Istanbul be 15°C on March 31?$5.00Mar 29, 14:59 UTC
- TRADEBUYWill the highest temperature in Istanbul be 17°C on March 31?$5.00Mar 29, 14:59 UTC
- TRADEBUYWill the highest temperature in Miami be between 74-75°F on April 1?$5.00Mar 29, 14:59 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)
- 19
- Avg trade size
- $4.74
- Top category
- —
- Category concentration
- 0%
- First seen
- Mar 29, 14:59 UTC
- Last active
- Mar 29, 18:42 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".