Metaverse Stock Screening with Triple Indicator Crossovers and Buying Flows

Summary

The document outlines a Chinese A-share screening concept focused on the metaverse industry. It selects stocks when MACD, KDJ, and DMI conditions show bullish crossovers, alongside a measure of daily net buying activity. The final stated criteria require buying activity to exceed 5% of a recent comparison amount and daily net additions to exceed one million shares. The post also offers formula and Python examples, with additional proposed filters involving company size, valuation, location, and business classification.

The rationale is to combine industry membership, technical momentum signals, and a flow measure. The author cautions that the screen omits important company and market factors, that indicators can change quickly, and that the buying-flow measure may fluctuate. Suggested improvements include adding fundamental filters and using both quantitative and qualitative analysis. No backtest results or evidence of returns are provided, and the examples contain implementation details that may not align perfectly with the stated final criteria. The screen should therefore be read as a candidate selection recipe, not a validated investment strategy.

Key ideas

• The screen targets metaverse stocks that meet several bullish technical crossover conditions.
• It combines MACD, KDJ, and DMI signals with measures of daily buying activity.
• The final rules specify thresholds for buying activity and net share additions.
• The author identifies omissions in fundamental analysis and warns that the inputs can change quickly.
• The document supplies example formulas and code but no evidence of strategy performance.

Tags

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