Core Viewpoint - The article discusses the challenges and complexities of using quantitative methods in stock selection, particularly focusing on the difficulties of translating chart patterns into formulas and the advantages of using indicators for more effective modeling [1][3][4]. Group 1: Challenges of Chart Patterns - Many investors start their quantitative journey by trying to convert chart patterns into formulas, believing that certain patterns have high success rates [1]. - Describing chart patterns with formulas is difficult and often leads to complex conditions that do not yield the desired results, highlighting the subjective nature of pattern interpretation [3]. - The majority of stock selection formulas in the market rely on a combination of chart patterns and moving averages, reflecting a common understanding among investors [3]. Group 2: Advantages of Indicators - Indicators are seen as a more advanced method of describing stock characteristics, as they extract specific features from raw data, providing a more abstract and statistical perspective [3][4]. - The effectiveness of quantitative modeling lies in its ability to combine multiple indicators to create a coherent model, which is more efficient than relying solely on chart patterns [4]. - Successful quantitative modeling requires a clear understanding of the underlying logic and the appropriate characteristics to describe, emphasizing a structured approach to building models [4].