Screening Metaverse Stocks by Price Alignment and Convertible Bond Data

Summary

This proposed Chinese equity screen selects stocks classified in the metaverse industry, with the opening price near the 10-day moving average, and with a nonempty field for an outstanding convertible bond name. The technical condition is presented as a crossing of the open and moving average alongside a crossing involving the prior close. A Python example instead checks that the latest open is within five percent of the 10-day average, excludes firms listed less than two years, and filters for available bond data.

The document offers no backtest, performance results, or rationale showing that these conditions predict returns. It acknowledges that relying on a bond-name field can make the screen narrow and may overlook broader market conditions and company fundamentals. The formula, data definitions, and code paths are not fully consistent, so the screen would need validation and careful implementation before use.

Key ideas

• The screen combines a metaverse industry classification with an opening price near its 10-day moving average.
• It adds a requirement that an outstanding convertible bond name field be populated.
• The prose, indicator formula, and Python example express the price condition differently.
• The document gives no backtest evidence and warns that the filters may omit important market and company information.

Tags

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