Screening Stocks with Turnover, Rising KDJ, and Auction Net Buying

Summary

This stock-screening proposal combines a turnover-rate band of 3% to 12%, a rising KDJ K value, and positive net buying attributed to major participants in the opening auction. A referenced screening formula also includes a closing price above its thirty-day moving average and a KDJ comparison with the prior bar. The accompanying Python example groups data by stock and checks turnover, price relative to a moving average, rising KDJ, and positive auction net buying before returning qualifying symbols.

The article frames the screen as a way to combine trading activity, a technical momentum signal, and a measure of auction-period flows. It warns that the conditions omit company fundamentals and broader market context, and that short-term flows may be manipulated. It suggests adding valuation or financial measures and other indicators, though it presents no test results to show that these changes improve performance. The formula, prose, and code do not align perfectly: the turnover treatment and moving-average trend checks differ, so implementation details should be reconciled before testing. No portfolio rules, execution assumptions, or risk controls are specified.

Key ideas

• The proposed screen looks for turnover between 3% and 12%, rising KDJ K, and positive auction net buying.
• The formula adds a closing-price condition above a thirty-day moving average.
• The Python example groups market data by stock and applies indicator and flow filters.
• The article flags missing fundamental and market-wide context, as well as possible manipulation of short-term flows.
• The formula and code differ in some details, and the article reports no performance validation.

Tags

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