0x17eb6e22dbc46ac928951fb0b510e6311191ba71
0x17eb6e22dbc46ac928951fb0b510e6311191ba71
Wallet digest
Activity score
41/100
Performance measurable
Open positions
12
Open notional
$1.20
Total PnL
$-49.30
Realised
$-0.22
Win rate
20%
5 closed
Largest open positions
showing 10 of 12- NO
Will the highest temperature in London be 8°C on January 18?
1 shares @ 90.0¢·now 100.0¢·exp Jan 18, 2026$1.20
$0.12
- YES
Will the highest temperature in London be 9°C on January 16?
2080 shares @ 0.1¢·now 0.0¢·exp Jan 16, 2026$0.00
$-2.08
- NO
Will ChatGPT be #1 Free App in the US Apple App Store on January 16?
1615 shares @ 1.1¢·now 0.0¢·exp Jan 16, 2026$0.00
$-17.11
- YES
Bikinis back on X by January 16?
418 shares @ 1.0¢·now 0.0¢·exp Jan 16, 2026$0.00
$-4.31
- NO
Will Freecash - Get Paid Real Money be #2 Free App in the US Apple App Store on January 16?
234 shares @ 4.9¢·now 0.0¢·exp Jan 16, 2026$0.00
$-11.55
- NO
Will there be at least 175 measles cases in the U.S. by January 31, 2026?
141 shares @ 1.2¢·now 0.0¢·exp Jan 31, 2026$0.00
$-1.70
- NO
Will Shadowrocket be #1 Paid App in the US Apple App Store on January 16?
47 shares @ 11.4¢·now 0.0¢·exp Jan 16, 2026$0.00
$-5.33
- NO
Will the highest temperature in Seoul be 6°C on January 16?
24 shares @ 10.4¢·now 0.0¢·exp Jan 16, 2026$0.00
$-2.48
- NO
Will the highest temperature in Atlanta be 50°F or higher on January 16?
23 shares @ 13.5¢·now 0.0¢·exp Jan 16, 2026$0.00
$-3.15
- YES
Will HotSchedules be #1 Paid App in the US Apple App Store on January 16?
21 shares @ 5.0¢·now 0.0¢·exp Jan 16, 2026$0.00
$-1.05
Recent activity
- TRADESELLWill there be at least 200 measles cases in the U.S. by January 31, 2026?$1.07Jan 18, 06:02 UTC
- TRADESELLWill there be at least 200 measles cases in the U.S. by January 31, 2026?$0.00Jan 17, 13:20 UTC
- TRADESELLBikinis back on X by January 16?$0.05Jan 16, 21:11 UTC
- TRADESELLBikinis back on X by January 16?$0.05Jan 16, 21:11 UTC
- TRADESELLBikinis back on X by January 16?$0.02Jan 16, 21:11 UTC
- TRADEBUYBikinis back on X by January 16?$1.04Jan 16, 21:11 UTC
- TRADESELLBikinis back on X by January 16?$0.02Jan 16, 21:11 UTC
- TRADESELLBikinis back on X by January 16?$0.02Jan 16, 21:11 UTC
- TRADESELLBikinis back on X by January 16?$0.03Jan 16, 21:11 UTC
- TRADEBUYBikinis back on X by January 16?$0.30Jan 16, 21:11 UTC
- TRADEBUYBikinis back on X by January 16?$0.69Jan 16, 21:11 UTC
- TRADEBUYBikinis back on X by January 16?$0.28Jan 16, 21:11 UTC
- TRADEBUYBikinis back on X by January 16?$1.04Jan 16, 21:11 UTC
- TRADESELLBikinis back on X by January 16?$0.03Jan 16, 21:10 UTC
- TRADESELLBikinis back on X by January 16?$0.03Jan 16, 21:10 UTC
- TRADESELLBikinis back on X by January 16?$0.02Jan 16, 21:10 UTC
- TRADESELLBikinis back on X by January 16?$0.03Jan 16, 21:10 UTC
- TRADESELLBikinis back on X by January 16?$0.02Jan 16, 21:10 UTC
- TRADESELLBikinis back on X by January 16?$0.01Jan 16, 21:10 UTC
- TRADESELLBikinis back on X by January 16?$0.03Jan 16, 21:10 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)
- 50
- Avg trade size
- $0.41
- Top category
- —
- Category concentration
- 0%
- First seen
- Jan 16, 16:40 UTC
- Last active
- Jan 18, 06:02 UTC
- Win rate sample
- 5 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".