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MACD and Stock Heat Screening for Chinese Equities

Article SuperMind

Summary

This document outlines a daily, after-close stock screen combining a positive MACD reading with ranking by stock popularity and a concentration filter. It presents the rationale that MACD can indicate trend, popularity can reflect market attention, and concentration can help characterize how broadly a stock is held or traded. The stated aim is to identify stocks with both attention and trend support while applying a dispersion-related constraint.

The article flags risks from changing concentration, reliance on hot concepts, and omission of other technical or fundamental measures. It suggests adding indicators such as RSI or KDJ, incorporating valuation measures, and adjusting exposure as conditions change. A formula and Python example are included, but the written threshold description is internally unclear, and the sample code uses a particular concentration cutoff and sorts by closing price. No performance results or backtest evidence are provided, so the screen’s effectiveness is not established.

Key ideas

  • The proposed screen combines positive MACD with popularity ranking and a concentration condition.
  • The selection is intended to run after each trading day’s close.
  • The article identifies dependence on changing concentration and popular themes as risks.
  • It suggests adding technical and fundamental filters and diversifying the portfolio.
  • The stated concentration rule and sample code do not align clearly, and no performance evidence is supplied.

Tags

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