Worn-Aircraft
0x8105b531c124b1408d5f6a1d23a5c7be6a0b955a
Wallet digest
Activity score
55/100
Performance measurable
Open positions
128
Open notional
$640.23
Total PnL
$-5.5K
Realised
$-111.90
Win rate
0%
7 closed
Largest open positions
showing 10 of 128- YES
Will J.J. Spaun win the 2026 Charles Schwab Challenge?
2338 shares @ 12.8¢·now 22.9¢·exp May 31, 2026$536.61
$236.61
- YES
Will Gary Woodland win the 2026 Charles Schwab Challenge?
3347 shares @ 6.0¢·now 1.9¢·exp May 31, 2026$63.59
$-136.41
- YES
Will Hideki Matsuyama win the 2026 Charles Schwab Challenge?
2508 shares @ 13.0¢·now 1.0¢·exp May 31, 2026$25.08
$-300.01
- YES
Will Akshay Bhatia win the 2026 Charles Schwab Challenge?
1759 shares @ 7.9¢·now 0.9¢·exp May 31, 2026$14.95
$-123.98
- YES
Will Patrick Rodgers win the 2026 Valero Texas Open?
1237 shares @ 1.6¢·now 0.0¢·exp Apr 5, 2026$0.00
$-20.38
- YES
Will Akshay Bhatia win the 2025 Wyndham Championship?
1101 shares @ 3.6¢·now 0.0¢·exp Aug 4, 2025$0.00
$-40.00
- YES
Will Lucas Glover win the 2025 Wyndham Championship?
1048 shares @ 3.8¢·now 0.0¢·exp Aug 4, 2025$0.00
$-40.00
- LIONS
Chargers vs. Lions
586 shares @ 34.5¢·now 0.0¢·exp Aug 8, 2025$0.00
$-202.13
- YES
Will Alexander Zverev win the 2025 ATP Toronto tournament?
578 shares @ 34.6¢·now 0.0¢·exp Aug 8, 2025$0.00
$-200.00
- SYDNEY THUNDER
Big Bash League: Hobart Hurricanes vs Sydney Thunder (Game 1)
510 shares @ 39.3¢·now 0.0¢·exp Dec 23, 2025$0.00
$-200.57
Recent activity
- REDEEMBitcoin Up or Down - May 30, 7:30PM-7:35PM ET$116.76May 31, 03:53 UTC
- REDEEMSpurs vs. Thunder$910.82May 31, 03:53 UTC
- TRADEBUYSpurs vs. Thunder$398.35May 30, 23:38 UTC
- TRADEBUYBitcoin Up or Down - May 30, 7:30PM-7:35PM ET$25.65May 30, 23:33 UTC
- TRADEBUYBitcoin Up or Down - May 30, 7:30PM-7:35PM ET$25.63May 30, 23:32 UTC
- TRADEBUYBitcoin Up or Down - May 30, 7:30PM-7:35PM ET$25.59May 30, 23:32 UTC
- TRADESELLSpurs vs. Thunder$27.43May 30, 23:31 UTC
- TRADEBUYMinnesota Twins vs. Pittsburgh Pirates$41.01May 30, 23:12 UTC
- TRADEBUYWill Akshay Bhatia win the 2026 Charles Schwab Challenge?$142.77May 30, 05:29 UTC
- TRADEBUYBitcoin Up or Down - May 30, 1:20AM-1:25AM ET$105.50May 30, 05:24 UTC
- TRADEBUYArizona Diamondbacks vs. Seattle Mariners$102.31May 30, 05:17 UTC
- TRADEBUYWill Hideki Matsuyama win the 2026 Charles Schwab Challenge?$333.58May 29, 20:32 UTC
- TRADEBUYSpurs vs. Thunder$29.07May 29, 09:34 UTC
- TRADEBUYWill Gary Woodland win the 2026 Charles Schwab Challenge?$205.64May 29, 09:33 UTC
- TRADEBUYWill J.J. Spaun win the 2026 Charles Schwab Challenge?$307.85May 29, 09:33 UTC
- TRADEBUYPistons vs. Cavaliers$8.46May 12, 02:04 UTC
- TRADESELLPistons vs. Cavaliers$8.31May 12, 01:45 UTC
- TRADEBUYPistons vs. Cavaliers$60.88May 12, 00:06 UTC
- TRADEBUYBitcoin Up or Down - May 11, 1:20AM-1:25AM ET$10.39May 11, 05:20 UTC
- TRADEBUYBitcoin Up or Down - May 11, 1:10AM-1:15AM ET$6.90May 11, 05:12 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)
- 47
- Avg trade size
- $54.60
- Top category
- —
- Category concentration
- 0%
- First seen
- Apr 22, 05:55 UTC
- Last active
- May 31, 03:53 UTC
- Win rate sample
- 7 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".