Screening Equities with Intraday Buying Flow and Revenue Growth

Summary

This post proposes an equity screen that combines daily price amplitude above a threshold, afternoon large-order net inflow, and revenue growth measured by comparing revenue in two stated years. The intended logic pairs market activity with a fundamental growth filter. It includes example indicator formulas and a Python sketch for selecting names, and suggests assembling a diversified portfolio from the results.

The author notes that the growth comparison depends on a particular historical period and that revenue norms vary across industries. Suggested refinements include adding other fundamental and technical measures and repeatedly testing the screen. However, the post reports no backtest results, risk-adjusted performance, or comparison with a benchmark, and it does not define a holding period or exit rule. The code sketch also leaves implementation details unclear, including how intraday order flow is measured and how the stated revenue dates map to the queried data. The screen is therefore a hypothesis to investigate, not a validated strategy.

Key ideas

• The proposed screen combines price amplitude, afternoon large-order net inflow, and multi-year revenue growth.
• The revenue filter is intended to identify firms with stronger historical growth.
• The author cautions that results may depend on the selected period and industry context.
• The post suggests combining additional factors and testing the screen iteratively.
• No backtest or trading outcome is reported, and holding and exit rules are unspecified.

Tags

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