A Stock Screen Using Daily Range, Morning-Star Conditions, and Auction Activity

Summary

This post presents a Chinese stock-selection screen that combines a daily price-range threshold, a pattern described as a morning star, and ranking by auction activity, selecting the top five names. It frames the inputs as measures of price movement, short-term change, and market activity. The post also discusses adding company fundamentals and industry outlook when evaluating candidates, and mentions mean-reversion and trend-following as alternative strategy approaches.

The article supplies an indicator formula and a Python example, but they do not clearly implement the same screen. In particular, the written rule ranks by auction amount, while the Python excerpt queries a basic stock table and sorts its amount field; the example's range and candlestick checks also do not transparently match the stated conditions. No backtest results, transaction-cost analysis, or evidence of predictive performance are provided. The post cautions that auction rankings can be distorted by large-holder activity or short-term speculation and that technical screening may omit fundamental risks. Its claims should therefore be treated as a strategy sketch, not a validated trading system.

Key ideas

• The proposed screen combines price range, a morning-star pattern, and auction-activity ranking.
• The stated selection rule keeps the five highest-ranked stocks by auction amount.
• The article suggests considering company fundamentals and industry conditions alongside the technical screen.
• The provided formula and Python example do not clearly match each other or the written rule.
• No performance evidence is given, and the post notes risks from speculation and omitted fundamentals.

Tags

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