Screening Chinese Stocks by Volatility, Trading-List Activity, and Profitability

Summary

This note describes a Chinese equity screen combining prior-day price amplitude, appearance on a market trading list, market capitalization below the stated ceiling, and positive recent profit and return on equity. Its rationale is to find active stocks with short-term movement while excluding loss-making companies. The article provides formula and Python examples for combining the filters, and mentions sorting selected stocks by closing price.

It also identifies limits: high volatility raises risk, trading-list activity and past financial results do not guarantee future performance, and smaller companies may receive less market attention. Suggested refinements include checking growth, valuation, capital flows, sector conditions, and explicit exit rules. The article presents no backtest, performance figures, or evidence that the screen is profitable. The code examples also use different definitions and timing conventions for some inputs, so the screen would need careful data and formula validation before evaluation.

Key ideas

• The screen combines price amplitude, recent trading-list appearance, a market-cap ceiling, and positive profitability measures.
• Its rationale links volatility and trading-list activity to short-term opportunity, while using profitability as a quality filter.
• The article flags volatility, incomplete financial signals, and limited market attention as risks.
• Growth, valuation, capital-flow data, and exit rules are proposed as possible additions.
• No historical performance evidence is supplied, and the sample implementations require validation.

Tags

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