Data on trading big data related to a leading exchange:
1. The win rate of consistently profitable traders is around 21.5%, while the win rate of consistently losing traders exceeds 70%.
2. The proportion of fees for consistently profitable traders is far lower than that for consistently losing traders.
3. The holding time of winning positions for top traders is 6.2 times that of losing positions.
4. Less than 5% of traders have positive trading results over the past three years.
5. Consistently losing traders make many more trades in a month than consistently profitable traders do in a year.
6. About 80% of profits come from 20% of trades.
7. Male traders account for 87%, while female traders only account for 13%.
8. Age distribution of traders: 5% are over 55 years old, 21% are between 40 and 55 years old, and 74% are under 40 years old.
9. Average returns of traders with different trading frequencies over three years: more than 5 trades per day - negative 68%; more than 1 trade per day - negative 31.5%; more than 0.3 trades per day (once every 3 days) - 12%; more than 0.1 trades per day - 59%.
10. 93% of losing trades can be recovered, which is why consistently losing traders have a higher win rate. The question arises, what about the 7% that can't be recovered?