Disastrous-Convenience
0x9670990083a855f1e4a1c84d8b3c7ceaf8cc20f2
Wallet digest
Activity score
42/100
Performance: thin sample
Open positions
4
Open notional
$3.07
Total PnL
$-0.93
Realised
$0.00
Win rate
n/a
too few closed
Largest open positions
- NO
Will Ethereum reach $5000 by the end of 2021?
1 shares @ 94.2¢·now 100.0¢·exp Dec 31, 2021$1.06
$0.06
- NO
Will the floor price of CryptoPunks be above 90 ETH on December 23, 2021?
1 shares @ 99.4¢·now 100.0¢·exp Dec 23, 2021$1.01
$0.01
- YES
Will annual inflation in the European Union be 5.4% or more in December?
2 shares @ 51.1¢·now 51.1¢·exp Jan 7, 2022$1.00
$0.00
- NO
Will it snow in New Yorks' Central Park on Christmas Eve (Dec 24)?
1 shares @ 91.8¢·now 0.0¢·exp Dec 24, 2021$0.00
$-1.00
Recent activity
- REDEEMWill daily atmospheric CO2 be above 416 ppm on Christmas Eve?$1.12Nov 6, 09:59 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)
- 0
- Avg trade size
- $0.00
- Top category
- —
- Category concentration
- 0%
- First seen
- Nov 6, 09:59 UTC
- Last active
- Nov 6, 09:59 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".