Screening Stocks by Turnover, Three Falling Sessions, and Price

Summary

The document describes a stock selection rule that combines daily turnover, a three-session decline, and a price ceiling. It seeks shares with turnover between 3% and 12%, falling prices over three consecutive sessions, and a closing price below 12 yuan. It provides example implementations for a formula-based screening platform and a Python workflow that retrieves historical data and checks candidate stocks.

The accompanying rationale treats turnover as a filter for trading activity and the falling sessions as a short-term price trend condition. The post warns that selecting low-priced stocks can expose a screen to market noise and produce weak candidates. It suggests combining technical filters with fundamental measures and broader valuation assessment. The examples do not report backtest results or establish that the screen predicts returns. Their implementations also differ in how they express a three-day decline, so the intended signal should be checked carefully before use.

Key ideas

• The screen selects stocks with turnover from 3% to 12%, three consecutive declining sessions, and prices below 12 yuan.
• The document offers both a formula-style approach and a Python data retrieval example.
• The stated rationale combines trading activity with a short-term price trend filter.
• The post cautions that low-priced stocks may be vulnerable to market noise and poor selection quality.
• It recommends considering fundamental and valuation measures alongside technical conditions.

Tags

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