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Chinese Stock Screen Using MA Crossovers, Amplitude, and Turnover Concentration

Article SuperMind

Summary

This Chinese equity screening proposal combines price movement, moving-average crossovers, and a turnover-based proxy for shareholder concentration. It seeks stocks with amplitude above 1%, three moving averages crossing upward, and concentration between 20% and 70%. The article explains that concentration may offer clues about ownership structure and governance, then gives indicator-formula and Python examples for screening. The Python example also includes a market-cap filter and sorts selected stocks by trading price.

The document provides a rule set and implementation references, but no backtest, performance statistics, or comparison with a benchmark. Its formulas and code do not align perfectly: the indicator expression checks a historical share of observations under the upper concentration bound, while the prose also specifies a lower bound; the Python code uses moving-average ordering rather than explicit crossover events. The article cautions that historical concentration data cannot anticipate future market or policy shocks, and recommends considering market conditions, financial information, governance, and industry prospects. The screen is therefore a starting point for research, not a validated standalone strategy.

Key ideas

  • The proposed screen combines amplitude above 1% with three moving-average bullish crossovers.
  • It seeks a turnover-based concentration measure between 20% and 70%.
  • The Python example adds a market-cap condition and ranks candidates by trading price.
  • The article provides no evidence of historical strategy performance.
  • Historical concentration and technical signals may not reflect future market or policy changes.

Tags

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