Metaverse Stock Screen Using the 10-Day Average and Float Value

Summary

This stock screen selects companies classified in China’s metaverse industry when the opening price is near the 10-day moving average and circulating market value exceeds 10 billion yuan. The article presents both a formula-based screen and a Python example. The formula uses crossover conditions to represent proximity to the average, while the Python version checks whether the latest open is within five percent of the 10-day average and excludes companies listed for less than two years.

The accompanying discussion argues that the market-value threshold may favor more liquid, established stocks, but notes that the screen omits fundamental analysis. It warns that a short-term price condition does not establish long-term value, that a strict size cutoff may exclude smaller firms, and that being near the moving average may be a noisy signal. No backtest, return data, or evidence of predictive performance is supplied. The implementation details also differ between the formula and Python example, so users should verify that both apply the intended conditions consistently.

Key ideas

• The screen focuses on metaverse-classified Chinese stocks with an opening price near the 10-day moving average.
• It applies a circulating market-value threshold of more than 10 billion yuan.
• The Python example also excludes stocks listed for less than two years and uses a five-percent proximity test.
• The source recommends adding fundamental, market, and industry information to broaden the selection process.
• No backtest or performance evidence is reported, and the two implementations use different formulations.

Tags

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