Screening Chinese Stocks by Range, Recent Gains, and Prior-Day Low

Summary

This Chinese-language post describes a stock screen using three short-term price conditions: daily amplitude above 1%, a positive ten-day gain below 35%, and a closing price above the previous day’s low. Its rationale is to find shares showing movement and moderate recent appreciation while closing above a nearby reference price. The accompanying Python example also filters for a stated range of circulating market value and sorts by a large-order flow measure, so the implementation adds conditions beyond the headline screen.

The post characterizes the criteria as a starting point and acknowledges that they rely on short-term price behavior without broader risk controls. It proposes adding technical and fundamental measures, using machine learning, and managing position size and holding time. No backtest, performance figures, or evidence that the screen predicts returns is provided; the suggested improvements are not developed into a tested method.

Key ideas

• The proposed screen selects stocks with daily amplitude above 1%, a positive ten-day gain below 35%, and a close above the prior day’s low.
• The Python example adds circulating market value limits and ranks candidates by a large-order flow measure.
• The post interprets the price filters as signs of activity, moderate appreciation, and relative buying strength.
• The rules use limited short-term information and do not establish a complete risk management approach.
• No backtest or measured evidence of profitability is presented.

Tags

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