Skip to content
All library documents

Stock Screening with Moving Average Crosses and Volume Conditions

Article SuperMind

Summary

This stock-screening proposal combines a price-range condition, moving-average crossovers, and a previous-day volume and price-position filter intended to represent large-player control. It describes selecting shares when three moving averages align through successive crossovers, the trading range exceeds a threshold, and the prior session meets the volume and closing-position criteria. The post gives formula and Python examples, but the stated conditions are not fully consistent across them: the prose refers to simultaneous golden crosses, while the code uses moving-average ordering, and the range formulas differ.

The author warns that relying on technical signals and inferred capital flows can produce false selections, while ignoring company fundamentals, industry conditions, and macroeconomic context. It recommends considering those factors and diversifying risk. No backtest results or evidence of profitability are supplied, and the signal called “main force control” is only a heuristic derived from price and volume data. Implementation details should be reconciled before using the screen.

Key ideas

  • The proposed screen combines moving-average crossover conditions with a price-range threshold.
  • A previous-day volume and close-location filter is used as a proxy for large-player control.
  • The prose, formulas, and code do not define the screening conditions consistently.
  • The author recommends including fundamental, industry, and macroeconomic information.
  • The post supplies no performance evidence, and the price-volume proxy may misclassify market activity.

Tags

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