Screening Metaverse Stocks by Long-Term Trend and Market Value

Summary

The document outlines an equity screen combining three criteria: membership in the metaverse theme, a prior-day price above its 250-day moving average, and circulating market value between 5 billion and 10 billion yuan. The long-term average is used as a trend filter, while the market-value range narrows the universe to mid-sized companies. It gives both formula-style conditions and a Python example intended to retrieve candidate stocks.

The post provides no backtest, portfolio rules, or evidence that the screen produces favorable returns. It flags market volatility and macroeconomic conditions as risks, and suggests adding indicators or more industry research as possible refinements. The code and data calls are references rather than a demonstrated, validated implementation; the document does not explain how to handle signal timing, survivorship, or execution. The screen should therefore be understood as a basic selection rule, not a tested investment strategy.

Key ideas

• The screen selects stocks associated with the metaverse theme.
• It requires the prior-day price to be above a 250-day moving average.
• It restricts candidates to a circulating market value of 5 billion to 10 billion yuan.
• The post identifies market swings and macroeconomic conditions as risks.
• It supplies no backtest results or evidence of profitability.

Tags

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