Screening Metaverse Stocks by Opening Price and Ten-Day Average

Summary

This note describes a Chinese equity screen for companies classified in the metaverse industry. It selects stocks whose opening price is near the ten-day moving average and whose low price is below 12. The accompanying formula expresses the moving-average condition with crossover checks, while the Python example uses a five-percent distance threshold and filters for stocks with at least two years of trading history and sufficient price data.

The author presents proximity to the moving average as a way to find relatively steady price behavior and the low-price cutoff as a way to focus on inexpensive shares. The note provides no backtest results or evidence that these conditions identify undervalued stocks. It also acknowledges that the screen omits company fundamentals and broader market conditions, and cautions that a low share price alone does not establish value. Suggested refinements include combining the technical conditions with valuation, profitability, leverage, and other trend indicators.

Key ideas

• The screen focuses on metaverse-classified equities with an opening price near the ten-day moving average.
• It adds a low-price condition, defined using a price below 12.
• The Python example adds trading-history and data-length filters and lists fundamental fields for sorting.
• The note offers no performance evidence and warns that technical filters and low share prices do not establish business value.
• It recommends combining the screen with company financials and broader market analysis.

Tags

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