Screening Metaverse Stocks with Institutional Flow and Auction Volume
Summary
The document describes a Chinese equity screen that selects stocks in the metaverse industry when an institutional-flow indicator is positive. It also requires the prior day’s turnover rate multiplied by the ratio of current auction volume to prior-day volume to fall between stated lower and upper bounds. The post suggests that this combination may capture industry exposure, institutional activity, and a particular level of early trading interest.
It outlines the filters and gives indicator-formula and Python examples, but provides no backtest results or evidence that the signals predict returns. The examples also appear to differ in how they define institutional buying and compute the turnover-volume measure, so their implementation may not exactly match the written rule. The document itself flags sector concentration and reliance on limited indicators as risks, and suggests adding fundamental analysis and stop-loss or take-profit controls. The screen is therefore a candidate selection method, not a complete or validated investment strategy.
Key ideas
- The screen limits its universe to stocks classified in the metaverse industry.
- It requires a positive institutional-flow signal.
- It filters candidates using prior-day turnover and the ratio of auction volume to prior-day volume.
- The document gives formula and Python examples but reports no performance evidence.
- It identifies sector concentration and reliance on few indicators as risks.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.