Ringed-Making
0x517b8d008a75ad65c089f8cb06d616bd38b150b7
Wallet digest
Activity score
79/100
Performance: thin sample
Open positions
6
Open notional
$29.65
Total PnL
$-0.69
Realised
$0.00
Win rate
n/a
too few closed
Largest open positions
- YES
Will the highest temperature in Dallas be 94°F or higher on June 1?
6 shares @ 83.0¢·now 86.0¢·exp Jun 1, 2026$5.25
$0.18
- YES
Will the highest temperature in Seattle be 66°F or higher on June 1?
5 shares @ 95.2¢·now 98.3¢·exp Jun 1, 2026$5.21
$0.16
- NO
Will the highest temperature in Panama City be 30°C on June 2?
6 shares @ 88.0¢·now 90.5¢·exp Jun 2, 2026$5.16
$0.14
- YES
Will the highest temperature in Panama City be 31°C or higher on June 2?
6 shares @ 86.0¢·now 85.5¢·exp Jun 2, 2026$5.04
$-0.03
- NO
Will the highest temperature in Dallas be between 90-91°F on June 2?
5 shares @ 94.0¢·now 84.5¢·exp Jun 2, 2026$4.56
$-0.51
- YES
Will the highest temperature in Dallas be 92°F or higher on June 2?
6 shares @ 92.0¢·now 80.5¢·exp Jun 2, 2026$4.43
$-0.63
Recent activity
- TRADESELLWill the highest temperature in Manila be 32°C on June 1?$5.47Jun 1, 07:04 UTC
- TRADEBUYWill the highest temperature in Seattle be 66°F or higher on June 1?$5.06Jun 1, 06:15 UTC
- TRADESELLWill the highest temperature in Moscow be 18°C on May 31?$0.70Jun 1, 05:24 UTC
- TRADESELLWill the highest temperature in Wellington be 20°C on June 1?$5.17Jun 1, 03:56 UTC
- TRADEBUYWill the highest temperature in Manila be 32°C on June 1?$5.08Jun 1, 03:10 UTC
- TRADESELLWill the highest temperature in Tokyo be 29°C or higher on June 1?$6.17Jun 1, 02:39 UTC
- TRADEBUYWill the highest temperature in Panama City be 30°C on June 2?$5.05Jun 1, 00:10 UTC
- TRADEBUYWill the highest temperature in Panama City be 31°C or higher on June 2?$5.11Jun 1, 00:09 UTC
- TRADEBUYWill the highest temperature in Dallas be 94°F or higher on June 1?$5.11Jun 1, 00:05 UTC
- TRADEBUYWill the highest temperature in Wellington be 20°C on June 1?$5.05Jun 1, 00:03 UTC
- TRADEBUYWill the highest temperature in Dallas be between 90-91°F on June 2?$5.09Jun 1, 00:02 UTC
- TRADEBUYWill the highest temperature in Tokyo be 29°C or higher on June 1?$5.07Jun 1, 00:02 UTC
- TRADEBUYWill the highest temperature in Dallas be 92°F or higher on June 2?$5.08Jun 1, 00:02 UTC
- TRADESELLWill the highest temperature in Dallas be 92°F or higher on May 31?$5.39May 31, 18:56 UTC
- TRADESELLWill the highest temperature in Dallas be between 90-91°F on May 31?$5.39May 31, 18:56 UTC
- TRADEBUYWill the highest temperature in Moscow be 18°C on May 31?$0.65May 31, 09:37 UTC
- TRADEBUYWill the highest temperature in Dallas be between 90-91°F on May 31?$5.09May 31, 06:16 UTC
- TRADEBUYWill the highest temperature in Dallas be 92°F or higher on May 31?$5.04May 31, 06:16 UTC
- TRADESELLWill the highest temperature in Dallas be 88°F or higher on May 30?$5.12May 29, 14:12 UTC
- TRADESELLWill the highest temperature in Tokyo be 31°C or higher on May 29?$0.80May 29, 08:16 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)
- 50
- Avg trade size
- $4.57
- Top category
- —
- Category concentration
- 0%
- First seen
- May 28, 19:29 UTC
- Last active
- Jun 1, 07:04 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".