Skip to content
All library documents

Metaverse Stock Screening with a Rounded-Base Pattern and Turnover Filter

Article SuperMind

Summary

This document describes a stock screen that combines membership in the metaverse industry, a rounded-base price pattern, and a turnover rate between 3% and 12%. Its example conditions use price relationships to moving averages and recent lows to approximate the pattern, alongside daily price movement checks. A Python example shows how the filters might be assembled and returns selected stocks with valuation and market-cap fields; the document does not report performance results or test the screen against historical data.

The author cautions that the screen uses only a narrow set of industry, chart-pattern, and turnover criteria. It may miss other relevant technical or company fundamentals, and reliance on one pattern can bias selection. Suggested extensions include adding indicators such as RSI or MACD, considering other chart patterns, and incorporating valuation measures. Those additions are suggestions rather than evaluated improvements, so the screen’s accuracy and suitability remain unestablished.

Key ideas

  • The screen targets metaverse industry stocks that match a rounded-base pattern.
  • It restricts candidate stocks to a turnover rate between 3% and 12%.
  • The example approximates the pattern with moving-average and recent-low conditions.
  • The document provides no backtest or evidence of trading performance.
  • The author recommends broadening the criteria with additional technical and fundamental factors.

Tags

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