Metaverse Stock Screening by Positive Returns and Turnover
Summary
The document describes a Chinese equity screen for companies classified in the metaverse sector. It selects stocks with a positive return and turnover between 2% and 9%, aiming to favor shares with some trading activity while avoiding very high or very low turnover. It also suggests adding fundamental and technical filters, naming valuation, profitability, and momentum indicators as examples. The supplied implementation references show how the criteria might be expressed in a stock screener and a Python workflow, though the examples are illustrative rather than a tested strategy.
No backtest, portfolio results, or evidence of profitability is provided. The stated risks include relying heavily on turnover and omitting broader company and price analysis. The code example adds checks for consecutive price increases, which go beyond the initial screen, and its data-source assumptions may need validation before use. Sector classification and turnover thresholds may also need adaptation to a particular market and research period.
Key ideas
- The screen targets metaverse-sector stocks with positive returns and turnover between 2% and 9%.
- Turnover is used as a rough way to filter for trading activity.
- The article proposes adding fundamental and technical criteria to narrow the candidates.
- The document provides no backtest or evidence that the screen produces positive investment results.
- Its code examples include additional price checks that are not part of the initial screening rule.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.