Screening Chinese Metaverse Stocks by Institutional Flow and Daily Returns

Summary

The document outlines a Chinese equity screen that selects stocks associated with the metaverse theme, filters for a positive institutional-flow measure, and keeps daily percentage changes between −5% and 2.6%. It presents the combination as a way to find relatively stable candidates with institutional interest. A code example sketches a daily data workflow using market calendars, stock information, money-flow fields, and daily returns, while separate indicator references describe the theme, flow, and return filters.

The document offers no backtest, benchmark, portfolio construction, holding period, or evidence that the screen earns returns or reduces risk. It also describes institutional flow as potentially lagging and warns that the sector and market can be volatile. The example’s data definitions and universe construction may not precisely match the prose: it filters names for a theme string and compares flow fields, so the intended measures should be checked before use. The screen is a candidate-selection rule, not a complete trading system.

Key ideas

• The screen targets metaverse-related Chinese stocks with positive institutional-flow readings.
• It limits eligible daily returns to the stated interval from −5% to 2.6%.
• The example combines stock, money-flow, and daily-return data to form a daily candidate list.
• The document flags lagging flow measures, sector instability, and broad market volatility as risks.
• It provides no performance evidence, holding rules, or portfolio-level risk method.

Tags

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