A Metaverse Stock Screen Using Turnover, Large-Order Flow, and Trend
Summary
This proposed Chinese equity screen focuses on stocks in the metaverse category with prior-day turnover above 8% and a large-buy to large-sell order-volume ratio above one. Its final stated logic adds a short-term trend filter: five-day, ten-day, and twenty-day moving averages must be successively higher. The article includes formula and Python examples for identifying candidates, but supplies no backtest, measured returns, or evidence that the signals predict gains.
The author frames turnover and large-order flow as indicators of activity and buying pressure, while acknowledging that the screen emphasizes short-term price behavior and ignores fundamentals. Suggested refinements include valuation measures, historical comparisons, and dynamic stop-loss and take-profit rules. The article’s claims about control by large investors and upside potential are not validated in the text; the filters also depend on data definitions and availability that are not assessed.
Key ideas
- The screen selects metaverse stocks with prior-day turnover above 8% and a large-buy to large-sell volume ratio above one.
- It adds an ascending five-, ten-, and twenty-day moving-average condition.
- Formula and Python examples are provided without backtest results.
- The article identifies missing fundamental analysis and price volatility as limitations.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.