A-Share Screen for Ten-Day Gains, Low Prices, and Trading Activity

Summary

This article outlines an A-share selection screen that ranks stocks by trading activity, limits share prices to below 12 yuan, and seeks positive gains over ten days that remain below 35 percent. The stated idea is to favor stocks attracting market attention with recent but not extreme appreciation, while excluding higher-priced shares. The article gives a short Python example using turnover as a proxy for capital strength and filtering on price and percentage change.

The code shown is incomplete and has potential implementation issues: the percentage-change filter uses a scalar-style logical operator across a dataframe, and the example does not clearly calculate a ten-day return even though the prose describes one. The article also acknowledges that a short-term screen covers only part of the market and may not indicate long-term direction. It suggests adding company, industry, or macroeconomic data, but provides no backtest or performance evidence for the proposed filters.

Key ideas

• The proposed screen ranks stocks by trading activity and applies a share-price ceiling.
• It seeks positive but capped appreciation over a ten-day period.
• Turnover is used in the code as a proxy for capital strength.
• The sample code does not clearly compute the stated ten-day return and contains a dataframe filtering issue.
• No backtest is presented, and the article notes that short-term filters may not predict long-term movement.

Tags

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