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Weekly Moving Average and Volume Filters for Chinese Stock Selection

Article SuperMind

Summary

This A-share screening strategy combines daily price and trading activity conditions with a weekly trend signal. It selects stocks whose amplitude exceeds the stated threshold, whose prior-day turnover rate multiplied by the ratio of today’s opening-auction volume to yesterday’s volume falls within a specified range, and whose weekly five-period moving average crosses above the ten-period average. The document frames the approach as a technical screen and includes a Python example, though that example uses a five-week average-volume ratio in place of the auction-volume ratio described in the prose.

The author warns that technical indicators can respond to market sentiment and volatility, and that the screen does not account for company fundamentals. Suggested additions include other technical and fundamental measures, but no test results or evidence of improved performance are provided. The proposed refinements are broad suggestions rather than a fully specified strategy, so the screen’s returns, trading rules, and robustness remain unestablished.

Key ideas

  • The screen combines an amplitude filter with a turnover and volume ratio condition.
  • A weekly five-period moving average crossing above the ten-period average supplies the trend signal.
  • The accompanying code’s volume ratio does not exactly match the auction-volume ratio in the stated rule.
  • The document identifies exposure to volatile price action and missing fundamental information as limitations.
  • It suggests adding indicators and fundamental measures, but provides no evidence that these changes improve results.

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