Defenseless-End
0x59b506a1b0b2ceafb046772b5853a2e097f6e970
Activity score
74/100
Performance: thin sample
Open positions
1
Open notional
$55.51
Total PnL
$-5.05
Realised
$0.00
Win rate
n/a
too few closed
Largest open positions
Recent activity
- TRADEBUYSpread: FC Hermannstadt (-2.5)$30.883h ago
- TRADEBUYSpread: FC Hermannstadt (-2.5)$23.683h ago
- TRADEBUYSpread: FC Hermannstadt (-2.5)$6.003h ago
- TRADESELLGustavo Petro out as leader of Colombia by June 30?$6.613h ago
- TRADESELLGustavo Petro out as leader of Colombia by June 30?$6.733h ago
- TRADEBUYGustavo Petro out as leader of Colombia by June 30?$6.474h ago
- TRADEBUYGustavo Petro out as leader of Colombia by June 30?$5.474h ago
- TRADEBUYGustavo Petro out as leader of Colombia by June 30?$1.404h ago
- REDEEMSpread: Toulouse FC (-1.5)$194.8826d ago
- TRADEBUYSpread: Toulouse FC (-1.5)$190.9131d ago
- TRADESELLEU/NATO country announces peacekeeping force in Ukraine by June 30?$48.2031d ago
- TRADESELLEU/NATO country announces peacekeeping force in Ukraine by June 30?$59.9531d ago
- TRADESELLEU/NATO country announces peacekeeping force in Ukraine by June 30?$48.3531d ago
- TRADESELLEU/NATO country announces peacekeeping force in Ukraine by June 30?$48.3531d ago
- TRADEBUYEU/NATO country announces peacekeeping force in Ukraine by June 30?$206.4931d 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)
- 14
- Avg trade size
- $49.25
- Top category
- —
- Category concentration
- 0%
- First seen
- 31d 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".