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Screening Chinese Stocks with Moving Averages, RSI, and Trading Heat

Article SuperMind

Summary

This Chinese stock-screening example combines three filters: the 20-day moving average must exceed the 120-day average, the 14-period RSI must be below 65, and candidates are ordered by a measure of stock popularity or trading heat. The stated rationale is to find stocks with a favorable moving-average relationship while avoiding an RSI reading above the chosen threshold. The sample Python outline further limits the universe to stocks whose codes begin with 300 and ranks qualifying names by three-month trading volume.

The article provides indicator formulas and an implementation sketch, but no backtest, performance evidence, or trade rules for entering and exiting positions. Its code and prose do not define the heat measure consistently, and the sample data dates are narrow relative to the 120-day moving average requirement. The article itself cautions that technical filters can miss company fundamentals and broader market conditions, and suggests combining them with those considerations. The screen is therefore a candidate-selection recipe, not evidence of a profitable strategy.

Key ideas

  • The screen requires the 20-day moving average to be above the 120-day moving average.
  • It filters for a 14-period RSI below 65 and ranks candidates by a popularity or volume measure.
  • The sample implementation also limits candidates to stock codes beginning with 300.
  • The document supplies no backtest results or complete entry and exit rules.
  • Technical screening alone can overlook fundamentals and broad market conditions.

Tags

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