Muffled-Defense
0x165879751c74f6d970b076744cf960c392fd609d
Wallet digest
Activity score
51/100
Performance: thin sample
Open positions
6
Open notional
$4.50
Total PnL
$-2.76
Realised
$0.00
Win rate
n/a
too few closed
Largest open positions
- YES
Will the highest temperature in Kuala Lumpur be 31°C on April 14?
5 shares @ 43.1¢·now 100.0¢·exp Apr 14, 2026$4.50
$2.56
- YES
Will the highest temperature in Kuala Lumpur be 25°C or below on April 14?
950 shares @ 0.1¢·now 0.0¢·exp Apr 14, 2026$0.00
$-0.95
- YES
Will the highest temperature in Singapore be 30°C on April 14?
10 shares @ 10.0¢·now 0.0¢·exp Apr 14, 2026$0.00
$-0.95
- YES
Will Hong Kong have less than 130mm of precipitation in April?
3 shares @ 54.0¢·now 0.0¢·exp Apr 30, 2026$0.00
$-1.47
- YES
Will the highest temperature in Tokyo be 23°C on April 14?
2 shares @ 43.0¢·now 0.0¢·exp Apr 14, 2026$0.00
$-0.97
- YES
Will the highest temperature in Singapore be 32°C on April 14?
2 shares @ 43.4¢·now 0.0¢·exp Apr 14, 2026$0.00
$-0.97
Recent activity
- TRADEBUYWill Hong Kong have less than 130mm of precipitation in April?$1.47Apr 13, 11:28 UTC
- TRADEBUYWill the highest temperature in Kuala Lumpur be 31°C on April 14?$2.00Apr 13, 11:11 UTC
- TRADEBUYWill the highest temperature in Singapore be 30°C on April 14?$1.00Apr 13, 11:09 UTC
- TRADEBUYWill the highest temperature in Singapore be 32°C on April 14?$1.00Apr 13, 11:09 UTC
- TRADEBUYWill the highest temperature in Tokyo be 23°C on April 14?$1.00Apr 13, 11:05 UTC
- TRADEBUYWill the highest temperature in Kuala Lumpur be 25°C or below on April 14?$1.00Apr 13, 10:50 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
- $1.24
- Top category
- —
- Category concentration
- 0%
- First seen
- Apr 13, 10:50 UTC
- Last active
- Apr 13, 11:28 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 is inverted so green means lower risk of over-reading the wallet.