Shimmering-Burial
0xbaf06d4da6b55dacf1558731eb68e5742712aaae
Activity score
64/100
Performance: thin sample
Open positions
4
Open notional
$86.92
Total PnL
$-203.14
Realised
$0.00
Win rate
n/a
too few closed
Largest open positions
- YES
Will Charles Leclerc win the 2026 F1 Canadian Grand Prix?
471 shares @ 7.0¢·now 6.5¢·exp May 31, 2026$30.64
$-2.36
- YES
Will Lewis Hamilton win the 2026 F1 Canadian Grand Prix?
719 shares @ 4.3¢·now 4.0¢·exp May 31, 2026$28.77
$-2.33
- YES
Will Oscar Piastri win the 2026 F1 Canadian Grand Prix?
367 shares @ 9.0¢·now 7.5¢·exp May 31, 2026$27.50
$-5.50
- NO
US forces enter Iran by April 30?
40100 shares @ 0.5¢·now 0.0¢·exp Apr 30, 2026$0.00
$-192.96
Recent activity
- TRADEBUYWill Lewis Hamilton win the 2026 F1 Canadian Grand Prix?$31.993h ago
- TRADEBUYWill Oscar Piastri win the 2026 F1 Canadian Grand Prix?$33.903h ago
- TRADEBUYWill Charles Leclerc win the 2026 F1 Canadian Grand Prix?$33.923h ago
- TRADEBUYUS forces enter Iran by April 30?$100.0033d ago
- TRADEBUYUS forces enter Iran by April 30?$43.0033d ago
- TRADEBUYUS forces enter Iran by April 30?$20.0033d ago
- TRADEBUYUS forces enter Iran by April 30?$30.0033d ago
- TRADESELLWill George Russell be the 2026 F1 Drivers' Champion?$293.0242d ago
- TRADEBUYWill George Russell be the 2026 F1 Drivers' Champion?$290.9261d ago
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)
- 9
- Avg trade size
- $97.42
- Top category
- —
- Category concentration
- 0%
- First seen
- 61d ago
- Last active
- 3h ago
- 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".
