Screening Metaverse Stocks by Turnover, Opening Gap, and Valuation

Summary

The document proposes screening Chinese A-share stocks in a metaverse sector category using prior-day turnover above 8%, an opening auction change between -2% and 5%, and, in its final rule, a price-to-earnings ratio below 50. The article presents these as a way to narrow candidates, then notes that the screen omits other technical and fundamental information and that auction moves can be affected by external factors.

It recommends adding indicators or company financial measures, and mentions machine learning as a possible way to combine factors. The sample code fetches sector, quote, auction, and financial data, but its filters do not consistently match the written rule: it also applies a circulating-market-value range, while the turnover condition is not clearly implemented. No backtest or evidence of returns is supplied, so the screen is an illustrative selection idea rather than a demonstrated strategy.

Key ideas

• The stated screen combines sector membership, prior-day turnover, an opening auction range, and a valuation ceiling.
• The article acknowledges that auction changes can be influenced by outside factors.
• The sample code introduces a market-value filter and does not clearly implement every written condition.
• The document provides no backtest or evidence that the screen predicts returns.

Tags

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