Screening Chinese Metaverse Stocks for Institutional Flows and Seven Down Days
Summary
This stock screen combines three filters: membership in the metaverse industry, a positive institutional-flow measure, and a seven-session sequence of declining closes. The article presents the idea as a way to find weak recent price action in a sector while also requiring a positive institutional activity signal. It includes references to platform-specific screening fields and a Python example that retrieves market data and filters candidate stocks.
The article identifies several limitations: the metaverse sector may be unstable, institutional-flow data can lag, and a seven-day decline rule may overfit. It suggests combining the screen with other technical measures and adapting it as market conditions change. No historical test, selection counts, return analysis, or implementation validation is provided. The code’s field names and sequential-count logic may need checking against the data provider and intended definition of a consecutive losing streak before use.
Key ideas
- The screen targets metaverse-related Chinese equities with positive institutional-flow readings.
- It also requires seven consecutive sessions with a lower close than the prior session.
- The article warns that institutional data may lag and the streak condition may overfit.
- It recommends adding other indicators and reassessing the filters as conditions change.
- No performance evidence or validation of the code is presented.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.