MACD and 250-Day Trend Filters with Stock Popularity Ranking

Summary

This Chinese stock-screening note describes a daily selection process that keeps stocks with a positive MACD reading and a latest closing price above the 250-day moving average. It then ranks qualifying names by popularity, favoring those receiving greater market attention. The document gives the standard MACD and moving-average definitions and a Python example that applies the filters and sorts candidates.

The approach combines a momentum signal with a long-term price trend filter and a popularity ranking. The note warns that the screen omits company fundamentals and broader market conditions, may produce concentrated selections, and relies on a limited set of technical inputs. It suggests adding financial and technical measures and monitoring overall market conditions. No backtest results or performance evidence are reported, and the final wording mentions other technical factors without specifying them. The supplied example therefore illustrates a basic screen rather than a fully specified or validated trading system.

Key ideas

• The screen selects stocks with MACD above zero and price above the 250-day moving average.
• Qualifying stocks are ordered by popularity, with the most popular ranked first.
• The note presents the method as a daily post-close selection process.
• The strategy omits fundamentals and broad market context, and its filters may create concentration risk.
• The document provides formulas and sample screening logic but reports no performance testing.

Tags

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.