Miniature-Waterwheel
0x68dfe523975a3148c8d93496dc554ca638efd3aa
Wallet digest
Activity score
43/100
Performance: thin sample
Open positions
5
Open notional
$0.00
Total PnL
$-7.98
Realised
$0.00
Win rate
n/a
too few closed
Largest open positions
- YES
Will the highest temperature in Hong Kong be 27°C on May 31?
1000 shares @ 0.1¢·now 0.0¢·exp May 31, 2026$0.00
$-1.00
- YES
Will the highest temperature in Hong Kong be 22°C or below on May 31?
1000 shares @ 0.1¢·now 0.0¢·exp May 31, 2026$0.00
$-1.00
- YES
Will the lowest temperature in Seoul be 16°C on May 31?
21 shares @ 4.7¢·now 0.0¢·exp May 31, 2026$0.00
$-1.00
- YES
Will the highest temperature in Hong Kong be 29°C on May 31?
17 shares @ 6.0¢·now 0.0¢·exp May 31, 2026$0.00
$-1.00
- YES
Will the highest temperature in Shanghai be 29°C on May 31?
12 shares @ 33.6¢·now 0.0¢·exp May 31, 2026$0.00
$-3.98
Recent activity
- TRADEBUYWill the highest temperature in Shanghai be 29°C on May 31?$4.11May 31, 00:23 UTC
- REDEEMBitcoin Up or Down - May 30, 6:35PM-6:40PM ET$0.00May 30, 22:41 UTC
- TRADEBUYBitcoin Up or Down - May 30, 6:35PM-6:40PM ET$3.19May 30, 22:38 UTC
- TRADEBUYWill the highest temperature in Hong Kong be 29°C on May 31?$1.05May 30, 22:21 UTC
- TRADEBUYWill the highest temperature in Hong Kong be 27°C on May 31?$1.05May 30, 22:21 UTC
- TRADEBUYWill the lowest temperature in Seoul be 16°C on May 31?$1.05May 30, 21:59 UTC
- TRADEBUYWill the highest temperature in Hong Kong be 22°C or below on May 31?$1.05May 30, 21:50 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)
- 6
- Avg trade size
- $1.92
- Top category
- —
- Category concentration
- 0%
- First seen
- May 30, 21:50 UTC
- Last active
- May 31, 00:23 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".