Darling-Imitation
0xd60c551492ca0b2ee6cbc9aac8e4df4c64b5f46c
Wallet digest
Activity score
71/100
Performance: thin sample
Open positions
43
Open notional
$136.55
Total PnL
$-19.4K
Realised
$0.00
Win rate
n/a
too few closed
Largest open positions
showing 10 of 43- DOWN
Bitcoin Up or Down - May 13, 7:30PM-7:45PM ET
103 shares @ 97.0¢·now 100.0¢·exp May 13, 2026$103.09
$3.09
- NO
Will the Seattle Mariners win the 2026 World Series?
36 shares @ 90.4¢·now 93.0¢·exp Oct 31, 2026$33.46
$0.91
- YES
Will the highest temperature in Chicago be between 42-43°F on April 12?
74816 shares @ 0.1¢·now 0.0¢·exp Apr 12, 2026$0.00
$-74.82
- NO
Will the highest temperature in Hong Kong be 28°C on April 15?
57869 shares @ 0.2¢·now 0.0¢·exp Apr 15, 2026$0.00
$-118.46
- NO
Will the highest temperature in Manila be 35°C on April 17?
54130 shares @ 0.1¢·now 0.0¢·exp Apr 17, 2026$0.00
$-55.65
- NO
Will the highest temperature in Hong Kong be 29°C on April 13?
51925 shares @ 0.2¢·now 0.0¢·exp Apr 13, 2026$0.00
$-105.67
- NO
Will the highest temperature in Lucknow be 35°C on April 11?
15503 shares @ 0.4¢·now 0.0¢·exp Apr 11, 2026$0.00
$-66.13
- NO
Will the highest temperature in Wellington be 18°C on March 9?
14700 shares @ 0.4¢·now 0.0¢·exp Mar 9, 2026$0.00
$-58.80
- YES
Will the highest temperature in Seoul be 7°C on March 8?
13700 shares @ 0.2¢·now 0.0¢·exp Mar 8, 2026$0.00
$-27.40
- YES
Will the highest temperature in Seoul be 7°C or higher on March 6?
13700 shares @ 0.4¢·now 0.0¢·exp Mar 6, 2026$0.00
$-54.80
Recent activity
- TRADEBUYBitcoin Up or Down - May 13, 7:30PM-7:45PM ET$100.21May 13, 23:44 UTC
- REDEEMLoL: Gen.G vs Kiwoom DRX (BO3) - LCK Rounds 1-2$125.00May 13, 23:43 UTC
- TRADEBUYLoL: Gen.G vs Kiwoom DRX (BO3) - LCK Rounds 1-2$124.39Apr 30, 08:59 UTC
- REDEEMLoL: Weibo Gaming vs Team WE (BO3) - LPL Group Ascend$109.77Apr 30, 08:59 UTC
- TRADEBUYLoL: Weibo Gaming vs Team WE (BO3) - LPL Group Ascend$102.30Apr 22, 10:04 UTC
- TRADEBUYWill the highest temperature in Manila be 35°C on April 17?$2.12Apr 17, 10:40 UTC
- TRADEBUYWill the highest temperature in Manila be 35°C on April 17?$56.50Apr 17, 10:39 UTC
- TRADEBUYWill the highest temperature in Hong Kong be 28°C on April 15?$8.72Apr 15, 15:03 UTC
- TRADEBUYWill the highest temperature in Hong Kong be 28°C on April 15?$116.00Apr 15, 15:02 UTC
- TRADEBUYWill the highest temperature in Hong Kong be 29°C on April 13?$2.85Apr 13, 08:00 UTC
- TRADEBUYWill the highest temperature in Hong Kong be 29°C on April 13?$102.90Apr 13, 07:59 UTC
- TRADEBUYWill the highest temperature in Chicago be between 42-43°F on April 12?$78.75Apr 12, 01:08 UTC
- TRADEBUYWill the highest temperature in Lucknow be 35°C on April 11?$0.28Apr 11, 12:01 UTC
- TRADEBUYWill the highest temperature in Lucknow be 35°C on April 11?$8.19Apr 11, 12:00 UTC
- TRADEBUYWill the highest temperature in Lucknow be 35°C on April 11?$0.12Apr 11, 11:47 UTC
- TRADEBUYWill the highest temperature in Lucknow be 35°C on April 11?$1.81Apr 11, 11:46 UTC
- TRADEBUYWill the highest temperature in Lucknow be 35°C on April 11?$0.19Apr 11, 11:42 UTC
- TRADEBUYWill the highest temperature in Lucknow be 35°C on April 11?$0.21Apr 11, 11:42 UTC
- TRADEBUYWill the highest temperature in Lucknow be 35°C on April 11?$0.63Apr 11, 11:42 UTC
- TRADEBUYWill the highest temperature in Lucknow be 35°C on April 11?$1.21Apr 11, 11:42 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)
- 41
- Avg trade size
- $6.9K
- Top category
- —
- Category concentration
- 0%
- First seen
- Mar 23, 13:16 UTC
- Last active
- May 13, 23:44 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".