Jovial-Bookend
0x36a48ceb0f73bb393c8e4bab6e02aa59cc9c5d51
Activity score
58/100
Performance: thin sample
Open positions
2
Open notional
$4.99
Total PnL
$-1.01
Realised
$0.00
Win rate
n/a
too few closed
Largest open positions
Recent activity
- TRADEBUYRacing Club de Lens leading at halftime?$5.073h ago
- REDEEMWill SC Freiburg win on 2026-05-07?$23.213h ago
- TRADEBUYWill SC Freiburg win on 2026-05-07?$13.171d ago
- TRADEBUYWill Elon Musk post 180-199 tweets from October 28 to November 4, 2025?$1.00186d ago
- REDEEMWill the price of Ethereum be between $2800 and $2900 on July 13 at 5PM ET?$5.06254d ago
- TRADEBUYWill the price of Ethereum be between $2800 and $2900 on July 13 at 5PM ET?$5.00299d ago
- REDEEMWill the price of Ethereum be greater than $3100 on July 12 at 5PM ET?$20.20299d ago
- TRADEBUYWill the price of Ethereum be greater than $3100 on July 12 at 5PM ET?$20.00300d ago
- REDEEMBitcoin above $57,000 on July 12?$5.00639d ago
- REDEEMCanada wins Copa America 2024?$19.58639d ago
- TRADEBUYCanada wins Copa America 2024?$9.73670d ago
- TRADEBUYBitcoin above $57,000 on July 12?$2.45670d ago
- TRADEBUYCanada wins Copa America 2024?$9.31670d ago
- REDEEMMetaMask airdrop by June 30?$35.63670d ago
- TRADEBUYMetaMask airdrop by June 30?$24.20707d ago
- TRADEBUYMetaMask airdrop by June 30?$11.00710d 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)
- 10
- Avg trade size
- $10.09
- Top category
- —
- Category concentration
- 0%
- First seen
- 710d 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".
