Dear-Archives
0xeb866d2b3940d561ed0ae76971c04d71bd6e567f
Activity score
58/100
Performance: thin sample
Open positions
7
Open notional
$13.59
Total PnL
$-5.41
Realised
$0.00
Win rate
n/a
too few closed
Largest open positions
- NO
Will Trump visit China by May 15?
59 shares @ 17.0¢·now 16.5¢·exp Mar 31, 2026$9.71
$-0.29
- OVER
Games Total: O/U 2.5
4 shares @ 51.0¢·now 47.0¢·exp May 5, 2026$1.84
$-0.16
- ALL GAMERS
Valorant: TYLOO vs All Gamers (BO3) - VCT China Playoffs
2 shares @ 46.0¢·now 49.5¢·exp May 5, 2026$1.08
$0.08
- TEAM LIQUID ACADEMY
Valorant: Team Liquid Academy vs Enterprise Esports (BO3) - VCL NORTH//EAST Playoffs
3 shares @ 29.0¢·now 28.0¢·exp May 5, 2026$0.97
$-0.03
- MANCHESTER CITY FC
Spread: Manchester City FC (-1.5)
7 shares @ 41.0¢·now 0.0¢·exp May 4, 2026$0.00
$-3.00
- MANCHESTER CITY FC
Spread: Manchester City FC (-2.5)
5 shares @ 22.0¢·now 0.0¢·exp May 4, 2026$0.00
$-1.00
- UNDER
Chelsea FC vs. Nottingham Forest FC: O/U 3.5
2 shares @ 46.0¢·now 0.0¢·exp May 4, 2026$0.00
$-1.00
Recent activity
- TRADEBUYWill Trump visit China by May 15?$5.171h ago
- TRADEBUYWill Trump visit China by May 15?$5.171h ago
- TRADEBUYValorant: Team Liquid Academy vs Enterprise Esports (BO3) - VCL NORTH//EAST Playoffs$1.023h ago
- TRADEBUYValorant: TYLOO vs All Gamers (BO3) - VCT China Playoffs$1.023h ago
- TRADEBUYGames Total: O/U 2.5$2.034h ago
- TRADEBUYSpread: Manchester City FC (-1.5)$3.0516h ago
- TRADEBUYChelsea FC vs. Nottingham Forest FC: O/U 3.5$1.0216h ago
- TRADEBUYSpread: Manchester City FC (-2.5)$1.0217h ago
- TRADESELLValorant: All Gamers vs EDward Gaming (BO3) - VCT China Playoffs$7.6419h ago
- TRADEBUYValorant: All Gamers vs EDward Gaming (BO3) - VCT China Playoffs$5.0521h ago
- TRADESELLValorant: XLG Gaming vs JD Gaming (BO3) - VCT China Playoffs$27.0521h ago
- TRADEBUYValorant: XLG Gaming vs JD Gaming (BO3) - VCT China Playoffs$9.931d ago
- TRADEBUYValorant: XLG Gaming vs JD Gaming (BO3) - VCT China Playoffs$10.003d 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)
- 13
- Avg trade size
- $6.09
- Top category
- —
- Category concentration
- 0%
- First seen
- 3d ago
- Last active
- 1h 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".