A-Share Stock Screening with Amplitude, Control Changes, and Profit Growth

Summary

This Chinese equity screen combines daily price amplitude, a change in controlling shareholders, and a rule excluding stocks that hit the price limit on the previous day. Its final stated version adds a price-to-book ceiling and a minimum year-over-year net-profit growth rate. The document gives example formulas and Python-style logic, including a ranking step that selects a small number of candidates by recent price change. It frames amplitude and control changes as indicators of market activity and the prior-day limit condition as a sentiment filter.

The post cautions that these criteria are simple and can omit company fundamentals, industry context, and other technical information; it recommends adding fundamental measures and moderating trading frequency. It does not report a backtest, performance, or evidence that the control-change measure predicts returns. The examples also use slightly different expressions of the control-change threshold and related data fields, so implementation details would need checking against the chosen data provider and market conventions.

Key ideas

• The screen combines amplitude, controlling-shareholder changes, and exclusion of prior-day limit-up stocks.
• Its final stated rules add price-to-book and net-profit-growth filters.
• The example ranks qualifying stocks by recent price change and returns a limited selection.
• The post recommends adding business and industry analysis and avoiding excessive turnover.
• No backtest or predictive evidence is supplied, and the code examples may require implementation checks.

Tags

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