Screening Metaverse Stocks by Asset Size and Opening Price Near the 10-Day Average

Summary

This Chinese-language post outlines an A-share stock screen focused on companies classified in the metaverse industry. Its stated selection logic combines total assets above 200 million with an opening price near the 10-day moving average. The post also gives example screening expressions and a Python-style workflow that retrieves stock and price data, checks company information, and ranks candidates using valuation and profitability fields such as price-to-book, price-to-earnings, and return on equity.

The examples do not describe a tested portfolio or report returns, and the implementations are not fully consistent: one uses moving-average crossover conditions while the Python example checks whether the opening price is within five percent of the average. The post itself cautions that size and price positioning omit broader fundamentals and may miss opportunities or become less relevant as market conditions change. Additional fundamental and technical measures are suggested, but no validation method is supplied.

Key ideas

• The proposed screen selects metaverse-sector stocks with total assets above 200 million and an opening price near the 10-day moving average.
• The formula example uses moving-average crossover conditions, while the Python example applies a proximity threshold, so the implementations differ.
• The Python workflow also retrieves valuation and profitability fields and sorts the qualifying stocks using them.
• The post warns that company size and opening-price positioning alone do not capture fundamentals or changing market conditions.
• No backtest results or evidence of profitability are reported.

Tags

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