A Metaverse Stock Screen Using the 10-Day and 30-Day Averages

Summary

This stock-selection rule first limits the universe to companies classified in the metaverse industry. It then looks for an opening price near or above the 10-day moving average and a rising 30-day average, using recent price data to identify stocks with a short-term price relationship and a longer average trending upward. The document gives both a screening formula and a Python example that retrieves stock and price data, checks the industry, and compares moving averages.

The examples are not fully consistent: the formula includes conditions involving the prior close and prior opening price, while the Python version checks the current opening price against the 10-day average and tests the 30-day average's direction. The author cautions that the screen uses few indicators and omits fundamentals, policy shifts, and unexpected events. Suggested improvements include adding technical and fundamental inputs or predictive methods, but no backtest results or evidence of profitability are reported.

Key ideas

• The screen restricts candidates to stocks classified in the metaverse industry.
• It combines an opening-price condition around the 10-day average with an upward-sloping 30-day average.
• The formula and Python example implement different details of the opening-price condition.
• The document warns that a small set of price-based filters omits fundamentals, policy changes, and sudden events.
• No backtest results or profitability evidence are included.

Tags

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