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MACD and Stock Heat Screening with a Turnover Filter

Article SuperMind

Summary

This Chinese A-share stock screen combines a positive MACD reading with a stock-heat ranking and a prior-day actual-turnover range of 3% to 28%. It proposes selecting after the daily close. The accompanying explanation treats MACD as a short-term trend measure, heat as a proxy for investor attention, and the turnover bounds as a way to avoid unusually inactive or active stocks. It also gives indicator formulas and a Python example for calculating MACD, filtering candidates, ranking them, and taking a small subset.

The document reports no backtest, return, or risk-adjusted performance evidence. It warns that the screen omits fundamentals and broader market conditions, that MACD lags, and that heat and turnover can be noisy. There is also a mismatch between the prose, which prioritizes higher heat, and the sample code, which applies a heat bound and sorts in descending order. The turnover calculation and data fields should be checked carefully before implementation, and the screen alone does not define entry, exit, or portfolio risk rules.

Key ideas

  • The screen selects stocks with MACD above zero and prior-day turnover between 3% and 28%.\nIt ranks candidates by a stock-heat measure and describes selection after the close.\nThe document presents MACD and turnover formulas alongside sample filtering logic.\nIt cautions that technical signals, attention measures, and turnover can be noisy or lag market conditions.\nThe stated ranking rule and sample code do not align fully, and no performance test is provided.

Tags

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