After a night of repeated evolution, the system has begun generating strategies that surpass Beta returns! The training used BTC-USDT data from 2018 to 2021. Data after 2021 is all out-of-sample data. The equity curve shows numerous flattening and jagged inflections, indicating that the strategy is gradually approaching the behavior of real traders. The previously stable and smooth curve now looks rather artificial... However, a new pitfall has been encountered... This evolutionary mechanism leads to elite factors continuously dominating the dominant species, severely reducing species diversity. The next goal is to ensure the diversity of factor evolution by limiting the over-proliferation of a single type of strategy. Ideally, the GP system will evolve two highly effective dominant species, one focusing on trend and the other on oscillation. After subsequent training to differentiate market regime, the two multi-factor strategies can be integrated! The previous approach of prioritizing regime seems too hasty. Without good alpha, regime only brings fitting noise, a classic "chicken or egg" problem... Interesting~