Screening Metaverse Stocks with a Long Moving Average and Valuation Limits
Summary
The document describes an A-share stock screen combining three filters: membership in the metaverse theme, a closing price above the 250-day moving average, and specified upper bounds for price-to-earnings and price-to-book ratios. It also limits the universe to Shenzhen main-board listings. The accompanying example outlines retrieving stock and valuation data, checking the moving average, and filtering eligible names.
The post explains the moving-average condition as a way to favor stocks trading above a long-term reference level, while the valuation filters are intended to identify relatively inexpensive candidates. It cautions that combining many filters does not guarantee statistically meaningful results and that the criteria may need adjustment for market conditions and investor preferences. No backtest, return data, or evidence of predictive value is supplied; the screen is a selection recipe, not a validated strategy.
Key ideas
- The screen selects metaverse stocks trading above their 250-day moving average.
- It applies upper limits to price-to-earnings and price-to-book ratios.
- The stated universe is Shenzhen main-board stocks.
- The post warns that a multi-condition screen may not have reliable statistical value.
- No backtest or performance evidence is presented.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.