Metaverse Stock Screen Using the Open Near the 10-Day Average

Summary

This stock-selection example screens companies in the metaverse industry for an opening price near the 10-day moving average and a listing age above a threshold. The article presents the moving-average condition as a way to identify relatively stable price behavior and the listing-age filter as a proxy for established trading history. Its examples describe implementing the screen with market and listing data, including a Python version that uses a two-year minimum listing age and a tolerance around the average.

The post cautions that listing age does not reliably measure business maturity or future prospects, and that price and moving-average data omit factors such as volume, capital flows, and company fundamentals. It suggests adding financial and technical measures, but offers no backtest or evidence that the screen produces profitable selections. The formula and sample implementation also express the near-average condition differently, so the intended rule should be clarified before evaluation.

Key ideas

• The screen focuses on metaverse-industry stocks opening near their 10-day moving average.
• A minimum listing age is used as an additional eligibility condition.
• The sample implementation applies a two-year listing-age requirement and a tolerance around the average.
• The article notes that listing duration is an imperfect measure of company quality.
• No performance evaluation is included, and the example formulations differ.

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