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Stock Screening with Revenue Growth and Moving-Average Clustering

Article SuperMind

Summary

This Chinese stock-selection proposal combines clustered moving averages, market attention, and historical revenue growth. It initially describes selecting stocks with at least five overlapping moving averages, ranking by popularity, and requiring 2021 revenue divided by 2018 revenue to exceed 1.1. Its stated final logic instead ranks by market capitalization and repeats the revenue-growth threshold alongside the moving-average condition, so the ranking criteria are inconsistent within the document.

The author interprets clustered averages as price stability and the revenue comparison as evidence of growth, while acknowledging that attention alone does not predict returns and technical filters may overlook fundamentals. Suggested improvements include reviewing financial condition and valuation measures. The text gives no usable implementation beyond library imports and no backtest or performance evidence; the historical revenue years also limit how directly the screen applies to current decisions.

Key ideas

  • The proposed screen looks for at least five clustered moving averages and revenue growth from 2018 to 2021.
  • The document gives conflicting ranking instructions, referring to popularity in one place and market capitalization in another.
  • It recommends checking valuation and company financials alongside technical and attention measures.
  • No backtest evidence is provided, and the revenue comparison uses historical years.

Tags

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