Screening Metaverse Stocks by Ten-Day Average and Limit-Up Activity

Summary

This stock screen targets companies in the metaverse industry whose opening price is near the ten-day moving average and that have recorded more than two limit-up days within ten days. The article frames the moving-average condition as a price-location filter and the repeated limit-up activity as a measure of recent market heat. It provides example screening formulas and a Python implementation outline using Chinese stock data.

The source acknowledges that the screen relies mainly on price behavior and trading activity, without adequately accounting for fundamentals, economic conditions, or liquidity. Its formula and example implementation are not fully consistent: the text describes an opening price near the moving average, while one formula uses crossover conditions, and the code applies a tolerance around the average. The document reports no backtest or returns, so the screen is a selection recipe rather than evidence of a profitable strategy. It suggests broadening the analysis with company and industry information.

Key ideas

• The screen focuses on metaverse-sector equities with openings near their ten-day moving average.
• It also requires more than two limit-up events during the preceding ten days.
• The article offers both formula and code examples, but their moving-average conditions differ.
• The screen omits important fundamental, macroeconomic, and liquidity considerations and gives no performance evidence.

Tags

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