A-Share Screening with Metaverse Exposure, Positive Returns, and RSI

Summary

The article outlines an A-share stock screen centered on companies classified in a metaverse-related category. Its initial conditions are a positive recent return and a six-period RSI below 65. The proposed refined screen also keeps stocks in the top half by market capitalization and revenue growth. It includes example screening logic and a Python-oriented sketch, though the code shown has implementation assumptions that would need checking against the data source and ranking conventions.

The article explains the RSI threshold as a way to avoid selecting shares it considers overbought, and it acknowledges that RSI alone can prompt early entries or missed opportunities. It also notes that the original screen omits financial and valuation factors, then suggests adding measures such as market capitalization and revenue growth. No backtest results, benchmark comparison, transaction costs, or risk-adjusted performance are reported, so the proposed criteria should be treated as a screening recipe rather than evidence of profitability.

Key ideas

• The initial screen selects metaverse-related shares with positive recent returns and a six-period RSI below 65.
• The refined version also ranks companies by market capitalization and revenue growth, retaining the top half.
• The article warns that RSI alone can lead to premature entries or missed opportunities.
• The screen does not establish profitability because it reports no performance test or transaction-cost analysis.

Tags

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