Pale-Upgrade
0xba5f5531753a8af98aa0ec9c3920f11818aa0c0f
Wallet digest
Activity score
50/100
Performance: thin sample
Open positions
200
Open notional
$0.00
Total PnL
$-528.93
Realised
$0.13
Win rate
n/a
too few closed
Largest open positions
showing 10 of 200- RAPTORS
Raptors vs. Knicks
50 shares @ 2.0¢·now 0.0¢·exp Nov 30, 2025$0.00
$-1.00
- UTAH
Utah vs. Stars
42 shares @ 12.0¢·now 0.0¢·exp Nov 28, 2025$0.00
$-5.00
- CHINA
AFC U23 Final: China vs. Japan
32 shares @ 3.1¢·now 0.0¢·exp Jan 24, 2026$0.00
$-1.00
- CANADA
Men's Final - Canada vs. USA
27 shares @ 37.0¢·now 0.0¢·exp Feb 22, 2026$0.00
$-10.00
- YES
Khamenei out as Supreme Leader of Iran by January 31?
23 shares @ 22.0¢·now 0.0¢·exp Jan 31, 2026$0.00
$-5.00
- TRAIL BLAZERS
Thunder vs. Trail Blazers
19 shares @ 26.0¢·now 0.0¢·exp Nov 30, 2025$0.00
$-5.00
- YES
Will West Ham United FC win on 2026-01-06?
17 shares @ 30.0¢·now 0.0¢·exp Jan 6, 2026$0.00
$-5.00
- LAKERS
Suns vs. Lakers
15 shares @ 66.0¢·now 0.0¢·exp Dec 2, 2025$0.00
$-10.00
- YES
Will Hellas Verona FC win on 2026-01-04?
14 shares @ 36.0¢·now 0.0¢·exp Jan 4, 2026$0.00
$-5.00
- YES
Will Everton FC win on 2026-01-26?
13 shares @ 38.0¢·now 0.0¢·exp Jan 26, 2026$0.00
$-5.00
Recent activity
- TRADESELLWill the highest temperature in Seoul be 26°C on June 1?$1.43Jun 1, 04:29 UTC
- TRADEBUYWill the highest temperature in Kuala Lumpur be 35°C on June 1?$1.01Jun 1, 04:09 UTC
- TRADESELLWill the highest temperature in Seoul be 27°C or higher on June 1?$1.31Jun 1, 02:51 UTC
- TRADEBUYWill the highest temperature in New York City be between 78-79°F on June 2?$1.01Jun 1, 02:11 UTC
- TRADEBUYWill the highest temperature in Seoul be 30°C or higher on June 2?$1.02Jun 1, 00:38 UTC
- TRADEBUYWill the highest temperature in Munich be 26°C on June 2?$1.01Jun 1, 00:07 UTC
- TRADEBUYWill the highest temperature in Atlanta be between 84-85°F on June 2?$1.01Jun 1, 00:07 UTC
- TRADEBUYWill the highest temperature in Qingdao be 26°C on June 2?$1.01Jun 1, 00:07 UTC
- TRADEBUYWill the highest temperature in Shenzhen be 33°C on June 1?$1.01Jun 1, 00:07 UTC
- TRADEBUYWill the highest temperature in New York City be between 74-75°F on June 1?$1.01May 31, 21:48 UTC
- TRADEBUYWill the highest temperature in Chicago be 76°F or higher on June 1?$1.01May 31, 17:58 UTC
- TRADEBUYWill the highest temperature in Singapore be 33°C on June 1?$1.01May 31, 17:58 UTC
- TRADEBUYWill the highest temperature in Seoul be 26°C on June 1?$1.02May 31, 17:58 UTC
- TRADEBUYWill the highest temperature in Seoul be 27°C or higher on June 1?$1.02May 31, 17:55 UTC
- TRADEBUYWill the highest temperature in Chengdu be 32°C on May 27?$1.04May 27, 05:50 UTC
- REDEEMThunder vs. Spurs$2.13May 24, 04:50 UTC
- REDEEMGolden Knights vs. Avalanche$2.56May 24, 04:50 UTC
- TRADEBUYGolden State Valkyries vs. Indiana Fever$1.02May 22, 23:03 UTC
- TRADEBUYGolden Knights vs. Avalanche$1.02May 22, 23:01 UTC
- TRADEBUYDallas Wings vs. Atlanta Dream$1.02May 22, 23:00 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)
- 38
- Avg trade size
- $2.08
- Top category
- —
- Category concentration
- 0%
- First seen
- Mar 31, 21:36 UTC
- Last active
- Jun 1, 04:29 UTC
- Win rate sample
- 1 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".