Black-Acknowledgment
0x33aeeca30aa8f1c94d5ba976cedd2514fe71620b
Wallet digest
Activity score
54/100
Performance: thin sample
Open positions
6
Open notional
$5.77
Total PnL
$-1.53
Realised
$0.00
Win rate
n/a
too few closed
Largest open positions
- YES
Will AfD win the second most seats in the next German election?
2 shares @ 91.0¢·now 100.0¢·exp Feb 23, 2025$2.31
$0.21
- YES
Will Lee Jae-myung be elected the next president of South Korea?
1 shares @ 79.0¢·now 100.0¢·exp Jun 3, 2025$1.27
$0.27
- YES
Will Friedrich Merz be the next Chancellor of Germany?
1 shares @ 91.0¢·now 100.0¢·exp Feb 23, 2025$1.10
$0.10
- YES
Will Union win the most seats in the next German election?
1 shares @ 91.0¢·now 100.0¢·exp Feb 23, 2025$1.10
$0.10
- YES
Will $Trump FDV be less than $5b on Feb 1?
1000 shares @ 0.1¢·now 0.0¢·exp Feb 1, 2025$0.00
$-1.00
- YES
Will Real Madrid win La Liga?
2 shares @ 68.0¢·now 0.0¢·exp May 25, 2025$0.00
$-1.20
Recent activity
- TRADEBUYWill Lee Jae-myung be elected the next president of South Korea?$1.00Apr 5, 12:13 UTC
- TRADEBUYWill AfD win the second most seats in the next German election?$1.00Feb 10, 15:18 UTC
- TRADEBUYWill $Trump FDV be less than $5b on Feb 1?$1.00Feb 1, 10:00 UTC
- TRADEBUYWill AfD win the second most seats in the next German election?$1.10Feb 1, 09:59 UTC
- TRADEBUYWill Real Madrid win La Liga?$1.20Feb 1, 09:59 UTC
- TRADEBUYWill Friedrich Merz be the next Chancellor of Germany?$1.00Feb 1, 09:59 UTC
- TRADEBUYWill Union win the most seats in the next German election?$1.00Feb 1, 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)
- 7
- Avg trade size
- $1.04
- Top category
- —
- Category concentration
- 0%
- First seen
- Feb 1, 09:59 UTC
- Last active
- Apr 5, 12:13 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".