Chinese Stock Screen Using Volatility, Trading-List Activity, and Auction Returns

Summary

This stock-selection approach screens for shares with prior-day amplitude above 1%, a listing on the previous day’s unusual-trading report, and an auction return between -2% and 5%. The proposed interpretation is that amplitude identifies active stocks, the report flags unusual buying or selling, and the auction move offers a snapshot of short-term direction. The post includes formula and Python examples for combining the filters, but it provides no backtest or performance evidence.

The author cautions that market reversals can undermine the screen, auction returns are only one imperfect signal, and unusual-trading activity does not by itself establish why a stock moved. Suggested refinements include adding technical indicators and assessing fundamentals and business quality. The code samples illustrate implementation rather than a complete, validated trading system; they do not define portfolio sizing, trade execution, or exit rules. The stated filters therefore describe a candidate-selection method whose usefulness would need to be evaluated with carefully aligned data and out-of-sample testing.

Key ideas

• The screen combines prior-day price amplitude, unusual-trading-list appearance, and a bounded auction return.
• The author interprets amplitude as a volatility filter and unusual-list activity as a possible signal of capital flows.
• The document provides formula and Python examples but no strategy performance results.
• Market reversals and ambiguous causes of unusual trading can weaken the signals.
• The author recommends combining these filters with technical and fundamental review.

Tags

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