Stock Screening with Large-Order Flows and Institutional Buying

Summary

This stock selection approach combines daily price range, persistent positive large-order net volume, and a signal that institutions are buying during price declines. The stated filters require an amplitude above 1 and large-order net volume above 0.05 for at least three consecutive days, alongside the institutional buying condition. The article explains that institutional activity may reflect research resources and perceived value, but it provides no performance data or backtest results to support that rationale.

The selection logic is presented with sample Python filtering steps and suggestions to add financial measures, sector trends, and market sentiment. The examples also mention positive earnings per share and return on equity above 10 as possible filters. The implementation details are not fully consistent with the prose: the sample rolling calculation and price-range filter do not clearly implement the stated conditions. Institutional buying data may be incomplete, and its presence does not ensure a stock will rise; the screen may also omit attractive stocks without that signal.

Key ideas

• The screen combines price amplitude with positive large-order net volume over consecutive days.
• Institutional buying is treated as a possible signal of perceived value, not a guarantee of returns.
• The article suggests adding financial, sector, and sentiment filters to broaden the analysis.
• The sample code has apparent inconsistencies with the stated selection conditions.

Tags

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