Weekly-Arcade-Generation
0x76bca64701a8d2a10e1df6395f981d20bb02383c
Activity score
72/100
Performance: thin sample
Open positions
2
Open notional
$24.93
Total PnL
$-1.30
Realised
$0.00
Win rate
n/a
too few closed
Largest open positions
Recent activity
- TRADEBUYWill the highest temperature in Paris be 22°C on May 8?$18.9112h ago
- TRADESELLWill the highest temperature in Paris be 24°C on April 29?$6.478d ago
- TRADESELLWill the highest temperature in Paris be 24°C on April 29?$12.328d ago
- TRADEBUYWill the highest temperature in Paris be 22°C on April 30?$8.328d ago
- TRADESELLWill the highest temperature in Paris be 20°C on April 28?$3.158d ago
- TRADEBUYWill the highest temperature in Paris be 24°C on April 29?$15.478d ago
- TRADESELLWill the highest temperature in Paris be 20°C on April 28?$20.688d ago
- TRADEBUYWill the highest temperature in Paris be 20°C on April 28?$22.009d ago
- TRADESELLWill the highest temperature in Paris be 23°C on April 27?$31.299d ago
- TRADEBUYWill the highest temperature in Paris be 23°C on April 27?$14.009d ago
- TRADEBUYWill the highest temperature in Paris be 23°C on April 27?$2.009d 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)
- 11
- Avg trade size
- $14.06
- Top category
- —
- Category concentration
- 0%
- First seen
- 9d ago
- Last active
- 12h 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".
