Screening Metaverse Stocks by Moving-Average Proximity and Dividend Ratio

Summary

The proposed Chinese equity screen selects stocks classified in the metaverse industry when the open is near a ten-day moving average and the 2019 dividend ratio exceeds 25%. The post presents a formula-style version and a Python example. It frames moving-average proximity as a way to find relatively stable price behavior and the dividend filter as a measure of company strength, though it does not provide evidence supporting those interpretations.

The implementation details are not fully consistent: the formula uses crossings involving the open and moving average, while the Python example compares the current open with a rolling average of opens and uses a five-percent distance threshold. The post itself cautions that the screen uses few factors and may neglect long-term value and fundamentals, suggesting additional valuation and balance-sheet measures. It reports no backtest or returns, and its 2019 dividend condition is historical, so the screen would require updated data and careful validation before use.

Key ideas

• The screen combines metaverse industry membership, proximity of the open to a ten-day average, and a 2019 dividend ratio above 25%.
• The post gives formula-style and Python implementations that use different price-proximity calculations.
• The author warns that a small set of screening variables can miss fundamentals and other opportunities.
• No backtest results are supplied, and the historical dividend condition may not represent current company conditions.

Tags

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