After testing over 90 factors, I ultimately retained two factors—one for screening and one for filtering. With some additional experience-based optimization, I am quite satisfied with the results. Most people lack extensive trading experience and are not advised to burn tokens on timing strategies or to develop seemingly sophisticated machine learning price predictions. Instead, it’s better to let AI act like a researcher, digging into research papers to identify factors and develop factor-neutral strategies.