0x26ea6c5786531048011c3d8fcf39e76377c8de4f
0x26ea6c5786531048011c3d8fcf39e76377c8de4f
Wallet digest
Activity score
57/100
Performance measurable
Open positions
19
Open notional
$5.36
Total PnL
$-48.73
Realised
$-7.36
Win rate
50%
8 closed
Largest open positions
showing 10 of 19- YES
Will the highest temperature in Taipei be 22°C on April 1?
5 shares @ 13.0¢·now 100.0¢·exp Apr 1, 2026$5.36
$4.66
- YES
Will Elon Musk post 180-199 tweets from March 13 to March 20, 2026?
96 shares @ 3.8¢·now 0.0¢·exp Mar 20, 2026$0.00
$-3.67
- YES
Will the highest temperature in London be 16°C on March 17?
76 shares @ 8.9¢·now 0.0¢·exp Mar 17, 2026$0.00
$-6.76
- YES
Will FK Bodø/Glimt win on 2026-03-17?
75 shares @ 5.0¢·now 0.0¢·exp Mar 17, 2026$0.00
$-3.75
- YES
Will the Phoenix Suns win the 2025–2026 NBA Pacific Division?
50 shares @ 6.0¢·now 0.0¢·exp Apr 12, 2026$0.00
$-3.00
- YES
Will Elon Musk post 220-239 tweets from March 13 to March 20, 2026?
49 shares @ 6.5¢·now 0.0¢·exp Mar 20, 2026$0.00
$-3.20
- YES
Will the highest temperature in Taipei be 24°C on April 1?
48 shares @ 5.0¢·now 0.0¢·exp Apr 1, 2026$0.00
$-2.38
- YES
Will the highest temperature in Shanghai be 13°C on March 17?
44 shares @ 14.6¢·now 0.0¢·exp Mar 17, 2026$0.00
$-6.44
- YES
Will Elon Musk post 260-279 tweets from March 10 to March 17, 2026?
20 shares @ 17.6¢·now 0.0¢·exp Mar 17, 2026$0.00
$-3.47
- YES
Will the highest temperature in Ankara be 5°C on March 30?
16 shares @ 2.0¢·now 0.0¢·exp Mar 30, 2026$0.00
$-0.32
Recent activity
- REDEEMWill the highest temperature in Lucknow be 39°C or below on June 10?$0.00Jun 10, 19:19 UTC
- TRADEBUYWill the highest temperature in Lucknow be 39°C or below on June 10?$1.56Jun 10, 03:59 UTC
- REDEEMWill the highest temperature in Qingdao be 30°C or higher on June 9?$1.39Jun 9, 16:48 UTC
- TRADEBUYWill the highest temperature in Qingdao be 30°C or higher on June 9?$0.53Jun 9, 03:57 UTC
- REDEEMWill the highest temperature in Qingdao be 30°C or higher on June 8?$0.00Jun 8, 16:47 UTC
- REDEEMWill the highest temperature in Guangzhou be 35°C or higher on June 8?$0.00Jun 8, 16:47 UTC
- TRADEBUYWill the highest temperature in Qingdao be 30°C or higher on June 8?$1.05Jun 8, 05:58 UTC
- TRADEBUYWill the highest temperature in Guangzhou be 35°C or higher on June 8?$1.40Jun 8, 03:54 UTC
- REDEEMWill the highest temperature in Shenzhen be 34°C or higher on June 7?$0.00Jun 7, 17:06 UTC
- REDEEMWill the highest temperature in Shenzhen be 32°C on June 7?$0.00Jun 7, 17:06 UTC
- TRADEBUYWill the highest temperature in Shenzhen be 34°C or higher on June 7?$2.34Jun 7, 06:52 UTC
- TRADEBUYWill the highest temperature in Shenzhen be 32°C on June 7?$3.21Jun 7, 06:52 UTC
- REDEEMWill the highest temperature in Shenzhen be 34°C on June 5?$0.00Jun 5, 17:05 UTC
- TRADEBUYWill the highest temperature in Shenzhen be 34°C on June 5?$3.10Jun 5, 06:58 UTC
- REDEEMWill the highest temperature in Munich be 29°C or higher on May 29?$0.00May 30, 08:33 UTC
- TRADEBUYWill the highest temperature in Munich be 29°C or higher on May 29?$1.05May 29, 04:15 UTC
- REDEEMWill the highest temperature in Dallas be 90°F or higher on May 26?$0.00May 27, 12:51 UTC
- REDEEMWill the highest temperature in Chongqing be 31°C or higher on May 26?$0.00May 26, 22:11 UTC
- REDEEMWill the highest temperature in Austin be 92°F or higher on May 25?$0.00May 26, 09:00 UTC
- TRADEBUYWill the highest temperature in Chongqing be 31°C or higher on May 26?$1.25May 26, 06:26 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)
- 25
- Avg trade size
- $1.57
- Top category
- —
- Category concentration
- 0%
- First seen
- May 12, 07:19 UTC
- Last active
- Jun 10, 19:19 UTC
- Win rate sample
- 8 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.