Buoyant-Cation
0xa2c2d49e6327c12979784cc2c582b0ef05d66e77
Activity score
71/100
Performance: thin sample
Open positions
6
Open notional
$224.03
Total PnL
$-40.97
Realised
$0.00
Win rate
n/a
too few closed
Largest open positions
- NO
Netanyahu out by end of 2026?
215 shares @ 51.1¢·now 56.5¢·exp Dec 31, 2026$121.52
$11.52
- YES
Will United Russia (ER) gain the most seats in the next Russian parliamentary election?
77 shares @ 65.2¢·now 64.5¢·exp Sep 30, 2026$49.44
$-0.56
- YES
Will the next diplomatic US-Iran meeting be in Pakistan?
47 shares @ 64.5¢·now 61.1¢·exp Jun 30, 2026$28.40
$-1.60
- NO
Kash Patel out by December 31?
54 shares @ 37.0¢·now 36.5¢·exp Dec 31, 2026$19.73
$-0.27
- YES
Will AC Milan win on 2026-05-10?
11 shares @ 47.0¢·now 46.5¢·exp May 10, 2026$4.95
$-0.05
- YES
Will Liverpool FC win on 2026-05-03?
143 shares @ 35.0¢·now 0.0¢·exp May 3, 2026$0.00
$-50.00
Recent activity
- TRADEBUYWill AC Milan win on 2026-05-10?$5.083h ago
- YIELD$0.0016h ago
- TRADEBUYWill Liverpool FC win on 2026-05-03?$50.971d ago
- TRADEBUYNetanyahu out by end of 2026?$110.001d ago
- TRADEBUYWill United Russia (ER) gain the most seats in the next Russian parliamentary election?$50.001d ago
- TRADEBUYWill the next diplomatic US-Iran meeting be in Pakistan?$30.001d ago
- TRADEBUYKash Patel out by December 31?$20.501d 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)
- 6
- Avg trade size
- $44.43
- Top category
- —
- Category concentration
- 0%
- First seen
- 1d 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".