Opening-Price and Large-Order Flow Filters for Stock Selection

Summary

This stock-screening proposal combines three conditions: a positive recent net-inflow measure above 50%, a positive product of price change and net large-order volume, and an opening move below 6%. The post interprets these as filters for capital inflow, directional strength, and a relatively restrained opening move. It also mentions adding historical performance and industry context to the selection process.

A pandas example demonstrates filtering a dataset using calculated flow and price-change fields. However, its implementation does not fully match the prose: the purported inflow calculation uses trade counts and volume, while the multiplier uses that calculated value rather than a clearly defined large-order net volume; the opening-change calculation is also not explicitly normalized as a percentage. The article reports no validation or trading results. It cautions that flow can reflect sentiment, the multiplier may not capture the full price trend, and a modest opening move alone does not imply continued gains.

Key ideas

• The proposed screen requires a recent net-inflow measure above 50%, a positive price-change and large-order-flow product, and an opening move below 6%.
• The criteria are intended to represent capital flow, price strength, and opening behavior.
• The sample calculations do not clearly implement all described measures, so field definitions and units need review.
• The article supplies no evidence that the screen improves returns and acknowledges that each signal has limitations.

Tags

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