Early-Polyester
0x930141dafb55e17e26448660aed04b36c3e7bf02
Activity score
74/100
Performance: thin sample
Open positions
4
Open notional
$4.2K
Total PnL
$-1.3K
Realised
$0.00
Win rate
n/a
too few closed
Largest open positions
- ZVEREV
Set Handicap: Zverev (-1.5) vs Cobolli (+1.5)
7448 shares @ 44.0¢·now 41.0¢·exp May 6, 2026$3.1K
$-222.93
- ARTHUR FILS
Madrid Open: Jannik Sinner vs Arthur Fils
6500 shares @ 18.0¢·now 16.5¢·exp May 8, 2026$1.1K
$-97.50
- YES
Will Rafael Jodar win the 2026 Men's French Open?
1717 shares @ 2.3¢·now 2.3¢·exp Jun 7, 2026$38.63
$-1.35
- CASPER RUUD
Madrid Open: Casper Ruud vs Alexander Blockx
2633 shares @ 38.4¢·now 0.0¢·exp May 6, 2026$0.00
$-1.0K
Recent activity
- TRADEBUYSet Handicap: Zverev (-1.5) vs Cobolli (+1.5)$166.514h ago
- TRADEBUYSet Handicap: Zverev (-1.5) vs Cobolli (+1.5)$166.514h ago
- TRADEBUYSet Handicap: Zverev (-1.5) vs Cobolli (+1.5)$412.284h ago
- TRADEBUYSet Handicap: Zverev (-1.5) vs Cobolli (+1.5)$412.284h ago
- TRADEBUYSet Handicap: Zverev (-1.5) vs Cobolli (+1.5)$412.284h ago
- TRADEBUYSet Handicap: Zverev (-1.5) vs Cobolli (+1.5)$412.284h ago
- TRADEBUYSet Handicap: Zverev (-1.5) vs Cobolli (+1.5)$2.204h ago
- TRADEBUYSet Handicap: Zverev (-1.5) vs Cobolli (+1.5)$2.204h ago
- TRADEBUYSet Handicap: Zverev (-1.5) vs Cobolli (+1.5)$9.934h ago
- TRADEBUYSet Handicap: Zverev (-1.5) vs Cobolli (+1.5)$9.934h ago
- TRADEBUYSet Handicap: Zverev (-1.5) vs Cobolli (+1.5)$8.754h ago
- TRADEBUYSet Handicap: Zverev (-1.5) vs Cobolli (+1.5)$8.754h ago
- TRADEBUYSet Handicap: Zverev (-1.5) vs Cobolli (+1.5)$960.194h ago
- TRADEBUYSet Handicap: Zverev (-1.5) vs Cobolli (+1.5)$960.194h ago
- TRADEBUYSet Handicap: Zverev (-1.5) vs Cobolli (+1.5)$3.175h ago
- TRADEBUYSet Handicap: Zverev (-1.5) vs Cobolli (+1.5)$3.175h ago
- TRADEBUYSet Handicap: Zverev (-1.5) vs Cobolli (+1.5)$1.3K5h ago
- TRADEBUYSet Handicap: Zverev (-1.5) vs Cobolli (+1.5)$1.3K5h ago
- TRADEBUYMadrid Open: Casper Ruud vs Alexander Blockx$11.295h ago
- TRADEBUYMadrid Open: Casper Ruud vs Alexander Blockx$11.295h 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)
- 27
- Avg trade size
- $367.73
- Top category
- —
- Category concentration
- 0%
- First seen
- 13h ago
- Last active
- 4h 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".