Skip to content
All library documents

Screening Chinese Stocks with Positive MACD and Low Price and Float

Article SuperMind

Summary

The document describes a Chinese A-share screening idea that combines a positive MACD condition with a low share price and a limit on circulating shares or market value. It says screening is performed before the trading day, and presents both indicator-formula and Python examples. The Python outline retrieves daily price and trading-availability data, calculates MACD, and collects stocks that satisfy the stated filters. It also advises updating data and adapting the data interface and output to the intended use.

The stated thresholds are inconsistent: the heading refers to circulating shares at or below 5, while the prose specifies 55 hundred million shares and the formula and code use a circulating-market-cap field with a threshold of 55. The article does not resolve whether this filter means share count or market capitalization. It offers no backtest, return figures, or evidence that the screen reduces risk or improves selection accuracy. Data quality, market volatility, and delayed float updates are identified as risks, and adding other technical or fundamental filters is suggested as a possible refinement.

Key ideas

  • The screen combines positive MACD with a low share-price condition and a circulating-float constraint.
  • The examples calculate MACD from daily data and filter candidate stocks by price, indicator value, and float field.
  • The stated float threshold conflicts across the heading, prose, formula, and code.
  • The article provides no backtest evidence or demonstrated performance for the screen.
  • Data errors, market volatility, and delayed float updates can affect screening results.

Tags

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