Screening for Volatility, a Morning Star Pattern, and Institutional Buying

Summary

This A-share screening idea combines price movement, a short-term reversal pattern, and institutional ownership. It describes filtering for an amplitude threshold above 1, a Morning Star-like signal, and evidence of institutional buying. The indicator formula combines price and volume measures with a Bollinger-band-related condition and an institutional-flow measure. The Python example separately checks recent price bars and changes in reported institutional holdings. These implementations are not identical, and the article does not define every indicator or reconcile the differences.

The rationale is that volatility may identify active stocks, the pattern may signal a possible change in short-term direction, and institutional accumulation may indicate investor interest. The article cautions that relying heavily on institutional activity can overlook company fundamentals and industry prospects, and that short-term selections may disappoint. It suggests considering fundamentals, industry conditions, changes in institutional holdings, and risk controls. Although it describes the idea as suitable for medium- to long-term investing, it presents no backtest, return figures, or evidence that the combined filters have predictive value.

Key ideas

• The proposed screen combines price amplitude, a Morning Star-like pattern, and institutional buying.\nThe indicator formula and Python example use different screening procedures.\nInstitutional ownership is treated as a signal of investor attention, not proof of future performance.\nThe article recommends considering fundamentals, industry context, and changes in institutional holdings.\nNo backtest or performance evidence is presented.

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