Ruddy-Matchmaker
0xd9c9b8fa015c405793cfe20aa2e8f0230eb75348
Wallet digest
Activity score
50/100
Performance: thin sample
Open positions
7
Open notional
$0.00
Total PnL
$-29.74
Realised
$0.00
Win rate
n/a
too few closed
Largest open positions
- NO
Will the highest temperature in Paris be 18°C or below on April 11?
2327 shares @ 0.3¢·now 0.0¢·exp Apr 11, 2026$0.00
$-6.65
- YES
Will the highest temperature in Lagos be 27°C or below on April 19?
1900 shares @ 0.1¢·now 0.0¢·exp Apr 19, 2026$0.00
$-1.90
- YES
Will the highest temperature in Paris be 22°C on April 11?
950 shares @ 0.1¢·now 0.0¢·exp Apr 11, 2026$0.00
$-0.95
- YES
Will the highest temperature in Paris be 23°C on April 11?
950 shares @ 0.1¢·now 0.0¢·exp Apr 11, 2026$0.00
$-0.95
- YES
Will the highest temperature in Paris be 21°C on April 11?
950 shares @ 0.1¢·now 0.0¢·exp Apr 11, 2026$0.00
$-0.95
- UP
Bitcoin Up or Down - April 9, 10:50PM-10:55PM ET
31 shares @ 50.0¢·now 0.0¢·exp Apr 10, 2026$0.00
$-15.42
- YES
Will the highest temperature in Shenzhen be 28°C on April 27?
7 shares @ 43.9¢·now 0.0¢·exp Apr 27, 2026$0.00
$-2.92
Recent activity
- TRADEBUYWill the highest temperature in Shenzhen be 28°C on April 27?$3.00Apr 26, 16:54 UTC
- TRADEBUYWill the highest temperature in Lagos be 27°C or below on April 19?$2.00Apr 19, 01:17 UTC
- TRADEBUYWill the highest temperature in Paris be 23°C on April 11?$1.00Apr 11, 20:17 UTC
- TRADEBUYWill the highest temperature in Paris be 22°C on April 11?$1.00Apr 11, 20:16 UTC
- TRADEBUYWill the highest temperature in Paris be 21°C on April 11?$1.00Apr 11, 20:16 UTC
- TRADEBUYWill the highest temperature in Paris be 18°C or below on April 11?$7.00Apr 11, 20:11 UTC
- TRADEBUYBitcoin Up or Down - April 9, 10:50PM-10:55PM ET$16.00Apr 10, 02:43 UTC
- TRADESELLBitcoin Up or Down - April 9, 10:40PM-10:45PM ET$15.54Apr 10, 02:40 UTC
- TRADEBUYBitcoin Up or Down - April 9, 10:40PM-10:45PM ET$13.00Apr 10, 02:39 UTC
- TRADESELLWill the highest temperature in Wuhan be 26°C on April 10?$0.79Apr 10, 02:28 UTC
- TRADESELLWill the highest temperature in Wuhan be 26°C on April 10?$1.20Apr 10, 02:25 UTC
- TRADESELLWill the highest temperature in Chongqing be 26°C on April 10?$3.91Apr 10, 02:24 UTC
- TRADESELLWill the highest temperature in Seoul be 13°C on April 10?$1.75Apr 10, 02:17 UTC
- TRADESELLWill the highest temperature in Hong Kong be 28°C on April 11?$1.70Apr 10, 01:20 UTC
- TRADESELLWill the highest temperature in Hong Kong be 27°C on April 11?$1.74Apr 10, 01:18 UTC
- TRADESELLWill the highest temperature in Seoul be 13°C on April 11?$1.56Apr 10, 01:17 UTC
- TRADESELLWill the highest temperature in Hong Kong be 27°C on April 10?$0.38Apr 10, 01:16 UTC
- TRADEBUYWill the highest temperature in Hong Kong be 27°C on April 10?$2.00Apr 9, 17:02 UTC
- TRADEBUYWill the highest temperature in Hong Kong be 28°C on April 11?$2.00Apr 9, 17:02 UTC
- TRADEBUYWill the highest temperature in Hong Kong be 27°C on April 11?$2.00Apr 9, 17:02 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
- $3.15
- Top category
- —
- Category concentration
- 0%
- First seen
- Apr 7, 15:21 UTC
- Last active
- Apr 26, 16:54 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".