Beloved-Demand
0xbf02acdabcd934f73076e894986dd7b2ce6cee21
Wallet digest
Activity score
50/100
Performance: thin sample
Open positions
200
Open notional
$0.00
Total PnL
$-555.41
Realised
$0.00
Win rate
n/a
too few closed
Largest open positions
showing 10 of 200- YES
Will the highest temperature in Chengdu be 27°C on April 5?
8788 shares @ 0.1¢·now 0.0¢·exp Apr 5, 2026$0.00
$-8.79
- YES
Will the highest temperature in Chengdu be 21°C on April 16?
2043 shares @ 0.1¢·now 0.0¢·exp Apr 16, 2026$0.00
$-2.04
- YES
Will the highest temperature in Sao Paulo be 25°C on April 16?
1634 shares @ 0.1¢·now 0.0¢·exp Apr 16, 2026$0.00
$-1.63
- YES
Will the highest temperature in San Francisco be between 54-55°F on April 15?
1330 shares @ 0.1¢·now 0.0¢·exp Apr 15, 2026$0.00
$-1.33
- YES
Will the highest temperature in New York City be between 80-81°F on April 15?
1292 shares @ 0.1¢·now 0.0¢·exp Apr 15, 2026$0.00
$-1.29
- YES
Will the highest temperature in San Francisco be between 56-57°F on April 15?
1140 shares @ 0.1¢·now 0.0¢·exp Apr 15, 2026$0.00
$-1.14
- YES
Will the highest temperature in Shanghai be 22°C on May 4?
971 shares @ 2.3¢·now 0.0¢·exp May 4, 2026$0.00
$-22.83
- YES
Will the highest temperature in New York City be between 80-81°F on April 16?
855 shares @ 0.1¢·now 0.0¢·exp Apr 16, 2026$0.00
$-0.85
- YES
Will the highest temperature in Guangzhou be 35°C on June 3?
800 shares @ 1.0¢·now 0.0¢·exp Jun 3, 2026$0.00
$-8.00
- YES
Will the highest temperature in Sao Paulo be 24°C on April 15?
713 shares @ 0.1¢·now 0.0¢·exp Apr 15, 2026$0.00
$-0.71
Recent activity
- TRADEBUYWill the highest temperature in Guangzhou be 36°C on June 3?$6.22Jun 3, 07:50 UTC
- TRADEBUYWill the highest temperature in Guangzhou be 36°C on June 3?$3.17Jun 3, 07:41 UTC
- TRADEBUYWill the highest temperature in Guangzhou be 36°C on June 3?$1.71Jun 3, 07:40 UTC
- TRADEBUYWill the highest temperature in Guangzhou be 36°C on June 3?$5.30Jun 3, 07:40 UTC
- TRADEBUYWill the highest temperature in Guangzhou be 36°C on June 3?$4.91Jun 3, 07:30 UTC
- TRADEBUYWill the highest temperature in Guangzhou be 36°C on June 3?$9.74Jun 3, 07:30 UTC
- TRADEBUYWill the highest temperature in Hong Kong be 33°C on June 3?$8.17Jun 3, 06:01 UTC
- TRADEBUYWill the highest temperature in Guangzhou be 35°C on June 3?$8.40Jun 3, 06:01 UTC
- TRADEBUYWill the highest temperature in Hong Kong be 33°C on June 3?$10.36Jun 3, 05:30 UTC
- TRADESELLWill the highest temperature in Hong Kong be 32°C on June 1?$46.90Jun 1, 09:53 UTC
- TRADEBUYWill the highest temperature in Hong Kong be 32°C on June 1?$0.11Jun 1, 07:24 UTC
- TRADEBUYWill the highest temperature in Hong Kong be 32°C on June 1?$1.52Jun 1, 07:24 UTC
- TRADEBUYWill the highest temperature in Hong Kong be 32°C on June 1?$0.14Jun 1, 07:20 UTC
- TRADEBUYWill the highest temperature in Hong Kong be 32°C on June 1?$4.21Jun 1, 07:20 UTC
- TRADEBUYWill the highest temperature in Hong Kong be 32°C on June 1?$0.32Jun 1, 07:20 UTC
- TRADEBUYWill the highest temperature in Seoul be 24°C on June 1?$0.71Jun 1, 06:10 UTC
- TRADEBUYWill the highest temperature in Seoul be 24°C on June 1?$3.44Jun 1, 06:10 UTC
- TRADEBUYWill the highest temperature in Seoul be 24°C on June 1?$0.01Jun 1, 06:10 UTC
- TRADESELLWill the highest temperature in Shenzhen be 29°C on May 31?$35.06May 31, 14:49 UTC
- TRADEBUYWill the highest temperature in Shenzhen be 29°C on May 31?$0.35May 31, 06:01 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)
- 43
- Avg trade size
- $5.83
- Top category
- —
- Category concentration
- 0%
- First seen
- May 22, 03:55 UTC
- Last active
- Jun 3, 07:50 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".