Metaverse Stock Screening with Institutional Flow and Moving Averages
Summary
The document proposes screening Chinese stocks associated with the metaverse theme, requiring a positive institutional-flow measure and a 20-day moving average above the 120-day moving average. It frames the industry filter as a way to target a developing theme, the flow condition as a proxy for institutional interest, and the moving-average relationship as a signal that shorter-term prices are stronger than the longer-term average. It includes formula and Python examples, but provides no performance results or backtest evidence.
The article cautions that thematic exposure carries sector risk, institutional flows do not capture all market activity, and moving-average signals can lag or mistime entries. Its suggested refinements include broader market and industry inputs, additional technical or fundamental measures, and testing other average periods. The described conditions form a screening rule; they do not establish that a selected stock is suitable for investment or that the signal predicts future returns.
Key ideas
- The screen combines a metaverse theme filter with positive institutional flow.
- It requires the 20-day moving average to exceed the 120-day moving average.
- The moving-average comparison is intended to capture shorter-term strength relative to a longer trend.
- The article warns that flow measures may be incomplete and moving averages may lag.
- No backtest or evidence of profitability is presented.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.