Burly-Sphere
0x87d919cacb121d50671dee43d85e45942a788f8b
Wallet digest
Activity score
65/100
Performance: thin sample
Open positions
3
Open notional
$102.20
Total PnL
$-279.79
Realised
$0.00
Win rate
n/a
too few closed
Largest open positions
- NO
Will the highest temperature in San Francisco be between 48-49°F on April 24?
54 shares @ 99.7¢·now 100.0¢·exp Apr 24, 2026$54.15
$0.16
- NO
Will the highest temperature in Wellington be 14°C on April 11?
48 shares @ 99.9¢·now 100.0¢·exp Apr 11, 2026$48.05
$0.05
- BULLS
Lakers vs. Bulls
571 shares @ 49.0¢·now 0.0¢·exp Jan 27, 2026$0.00
$-280.00
Recent activity
- TRADEBUYWill the highest temperature in San Francisco be between 48-49°F on April 24?$54.00Apr 22, 09:58 UTC
- YIELD$0.03Apr 13, 00:10 UTC
- TRADESELLWill Beto O’Rourke win the 2028 Democratic presidential nomination?$582.89Apr 12, 12:18 UTC
- YIELD$0.05Apr 12, 00:14 UTC
- YIELD$0.05Apr 11, 00:13 UTC
- YIELD$0.06Apr 10, 00:10 UTC
- TRADEBUYWill the highest temperature in Wellington be 14°C on April 11?$48.00Apr 9, 15:27 UTC
- YIELD$0.05Apr 9, 00:12 UTC
- YIELD$0.05Apr 8, 00:11 UTC
- YIELD$0.06Apr 7, 00:20 UTC
- YIELD$0.06Apr 6, 00:13 UTC
- YIELD$0.06Apr 5, 00:18 UTC
- YIELD$0.06Apr 4, 00:20 UTC
- YIELD$0.05Apr 3, 00:12 UTC
- YIELD$0.06Apr 2, 00:12 UTC
- YIELD$0.05Apr 1, 00:11 UTC
- REDEEMWill the highest temperature in Toronto be -2°C or below on March 31?$42.04Mar 31, 06:56 UTC
- YIELD$0.05Mar 31, 00:19 UTC
- YIELD$0.05Mar 30, 00:21 UTC
- TRADEBUYWill the highest temperature in Toronto be -2°C or below on March 31?$42.00Mar 29, 16:37 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)
- 9
- Avg trade size
- $167.91
- Top category
- —
- Category concentration
- 0%
- First seen
- Mar 2, 12:30 UTC
- Last active
- Apr 22, 09:58 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".