Screening for Morning Stars and Strong Large-Order Flows

Summary

This Chinese stock-screening note combines daily price movement, a morning-star style candlestick condition, and a ranking based on large-order net volume. Its example code also checks recent moving averages and requires the latest large-order net amount to exceed the prior observation. The intended approach is to combine technical price behavior with a measure of trading flows when selecting stocks. The article includes formula and Python references but does not present a backtest, selected-stock history, or return evidence.

The author notes that the screen omits company financials and industry prospects, and that satisfying the filters cannot ensure that a stock will rise. Suggested additions include valuation measures, industry context, and further volume or flow indicators. The pattern and flow conditions are described only briefly, and the implementation details may not match the named screening conditions precisely. The method is best understood as a preliminary selection rule whose definitions, data assumptions, and predictive value require independent validation.

Key ideas

• The screen combines an amplitude threshold, a morning-star pattern, and a large-order net-volume ranking.
• The Python example also checks moving-average relationships and a rise in recent large-order net amount.
• The note warns that the screen omits fundamentals and industry conditions, and that its signals do not guarantee gains.
• It suggests adding valuation, industry, and other volume or flow measures.
• No backtest or performance evidence is reported.

Tags

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