Screening Stocks by Turnover, KDJ Crossovers, and Dragon-Tiger List Activity

Summary

This post describes a Chinese A-share screening approach that combines turnover between 3% and 12%, a newly formed KDJ golden cross, and appearance on the previous day’s Dragon-Tiger List. Its referenced formula also includes a closing price at or above the 20-day average, a daily change filter, and a ranking condition on reported net inflow. A Python example shows one possible workflow using market and listing data alongside the technical and flow conditions.

The stated intuition is to pair a technical signal and active trading with a public indicator of market participation and capital flows. The post warns that sentiment and technical filters can overlook fundamentals and valuation, and that Dragon-Tiger data may be delayed or uncertain. It suggests adding company performance measures and checking broader market and sector conditions. No returns, benchmark, or out-of-sample results are supplied, so the screen’s predictive value is not established; the supplied data logic also needs validation before practical use.

Key ideas

• The screen combines turnover from 3% to 12%, a fresh KDJ golden cross, and prior-day Dragon-Tiger List activity.
• The referenced formula adds a 20-day moving-average condition, a daily price-change threshold, and a net-inflow ranking filter.
• Dragon-Tiger List data may be delayed and is an imperfect proxy for capital flows.
• The approach omits fundamentals and has no reported performance evaluation.

Tags

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