Screening Metaverse Stocks with Price, Moving Average, and MACD Filters

Summary

This post describes a stock screen restricted to a designated metaverse industry group. Within that group, it selects shares whose average price is above the five-day moving average and whose daily MACD is positive. The stated intent is to combine an industry theme, a near-term price trend condition, and a momentum indicator.

The post flags missing fundamental and growth analysis, volatility, and MACD’s lag as risks. It suggests adding valuation and size measures, other technical indicators, and volume-price analysis. It also includes a Python example with additional filters such as valuation, market size, recent price change, and moving-average comparisons. Those coding details do not align perfectly with the simple headline rule: the sample uses the MACD histogram condition and includes extra selection tests. No backtest results or evidence of stable returns are reported, so the screen should be treated as a candidate-generation recipe rather than a validated investment strategy.

Key ideas

• The screen first limits its universe to stocks associated with the metaverse theme.
• It requires average price to exceed the five-day moving average and daily MACD to be positive.
• The post identifies fundamental omissions, price volatility, and indicator lag as risks.
• It proposes adding valuation, size, volume-price, and other technical filters.
• The sample implementation includes conditions beyond the headline screen, and no performance evidence is provided.

Tags

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