Screening Metaverse Stocks by Price Amplitude and Convertible Bond Data

Summary

This note proposes screening Chinese stocks using a daily price-movement threshold, a nonempty outstanding convertible-bond name field, and a company-name keyword associated with the metaverse. The stated rationale is to identify stocks connected to a popular technology theme, with amplitude and convertible-bond information serving as additional filters. It also recommends adding industry or financial measures to refine the selection.

The document provides an indicator formula and a Python example, but no backtest, performance results, or evidence that the selected conditions predict returns. Its discussion acknowledges that keyword-based selection may not reflect a company's actual business and can produce too many candidates. The sample implementation also does not clearly compute the stated amplitude condition, so it should not be treated as a validated reproduction of the proposed screen.

Key ideas

• The proposed screen combines a price-amplitude threshold, a nonempty convertible-bond name field, and a metaverse keyword filter.
• The note presents the theme keyword as a way to find potentially related companies, while acknowledging that it may not match their actual businesses.
• It suggests adding industry and financial criteria to improve selection quality.
• No backtest or return evidence is provided, and the Python example does not clearly implement the stated amplitude test.

Tags

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