Metaverse Stock Screening with Positive Returns and Turnover Limits

Summary

This document describes a daily stock screen for the metaverse sector. It selects stocks with a positive price return and filters for prior-day actual turnover within a specified band, aiming to avoid both inactive shares and unusually crowded trading. It gives indicator-based criteria and a brief Python-style example of applying them to market data.

The stated thresholds are inconsistent: the opening rule uses turnover above 3% and below 28%, while the final rule and formula use a narrower range around 4% to 20%, and the example uses the wider band. The document offers no backtest or performance evidence. It cautions that the screen ignores company fundamentals and says turnover limits may need adjustment for market and industry conditions; the signals alone do not establish investment quality or manage broader risk.

Key ideas

• The screen focuses on metaverse-sector stocks with a positive daily price return.
• It uses prior-day actual turnover to filter for a middle range of trading activity.
• The document gives conflicting turnover thresholds across its description, final rule, and example.
• The screen omits fundamentals and has no reported performance evaluation.

Tags

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