Well-Informed-Collar
0x4e154de7f8cdb360003803e41274f08d8af80cc5
Wallet digest
Activity score
65/100
Performance: thin sample
Open positions
8
Open notional
$33.76
Total PnL
$-115.33
Realised
$0.00
Win rate
n/a
too few closed
Largest open positions
- YES
Will the highest temperature in Beijing be 37°C on June 1?
102 shares @ 18.7¢·now 17.7¢·exp Jun 1, 2026$18.08
$-1.05
- YES
Will the highest temperature in Guangzhou be 36°C on June 1?
100 shares @ 8.5¢·now 11.0¢·exp Jun 1, 2026$11.00
$2.50
- YES
Will the highest temperature in Beijing be 38°C on June 1?
200 shares @ 4.8¢·now 2.1¢·exp Jun 1, 2026$4.28
$-5.41
- YES
Will the highest temperature in Chengdu be 35°C on June 1?
9 shares @ 4.0¢·now 4.5¢·exp Jun 1, 2026$0.41
$0.04
- NO
MegaETH market cap (FDV) >$1B one day after launch?
1500 shares @ 1.8¢·now 0.0¢·exp Dec 31, 2025$0.00
$-27.50
- YES
Will the highest temperature in Shanghai be 29°C on May 28?
247 shares @ 12.9¢·now 0.0¢·exp May 28, 2026$0.00
$-31.85
- YES
Will the highest temperature in Chengdu be 19°C on May 1?
212 shares @ 19.5¢·now 0.0¢·exp May 1, 2026$0.00
$-41.38
- YES
Will the highest temperature in Guangzhou be 35°C on May 31?
90 shares @ 11.9¢·now 0.0¢·exp May 31, 2026$0.00
$-10.68
Recent activity
- TRADEBUYWill the highest temperature in Chengdu be 35°C on June 1?$0.36Jun 1, 03:08 UTC
- TRADEBUYWill the highest temperature in Guangzhou be 36°C on June 1?$3.50Jun 1, 02:19 UTC
- TRADEBUYWill the highest temperature in Guangzhou be 36°C on June 1?$5.00Jun 1, 02:19 UTC
- TRADEBUYWill the highest temperature in Beijing be 37°C on June 1?$15.82Jun 1, 02:15 UTC
- TRADEBUYWill the highest temperature in Beijing be 37°C on June 1?$1.18Jun 1, 02:14 UTC
- TRADEBUYWill the highest temperature in Beijing be 37°C on June 1?$1.10Jun 1, 02:11 UTC
- TRADEBUYWill the highest temperature in Beijing be 37°C on June 1?$1.80Jun 1, 02:10 UTC
- TRADEBUYWill the highest temperature in Beijing be 38°C on June 1?$5.13Jun 1, 02:08 UTC
- TRADEBUYWill the highest temperature in Beijing be 38°C on June 1?$5.02Jun 1, 02:01 UTC
- REFERRAL_REWARD$2.29Jun 1, 00:35 UTC
- TRADEBUYWill the highest temperature in Guangzhou be 35°C on May 31?$2.01May 31, 07:54 UTC
- TRADEBUYWill the highest temperature in Guangzhou be 35°C on May 31?$1.17May 31, 07:31 UTC
- TRADEBUYWill the highest temperature in Guangzhou be 35°C on May 31?$7.82May 31, 07:26 UTC
- TRADESELLWill the highest temperature in Shanghai be 28°C on May 31?$61.41May 31, 05:08 UTC
- TRADEBUYWill the highest temperature in Shanghai be 28°C on May 31?$19.68May 31, 03:17 UTC
- REFERRAL_REWARD$6.17May 31, 00:35 UTC
- TRADESELLWill the highest temperature in Shanghai be 29°C on May 30?$16.96May 30, 02:03 UTC
- TRADESELLWill the highest temperature in Shanghai be 30°C on May 30?$2.19May 30, 01:42 UTC
- TRADESELLWill the highest temperature in Shanghai be 29°C on May 30?$16.43May 30, 01:42 UTC
- REFERRAL_REWARD$2.18May 30, 00:35 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
- $15.80
- Top category
- —
- Category concentration
- 0%
- First seen
- May 18, 00:57 UTC
- Last active
- Jun 1, 03:08 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".