A Metaverse Stock Screen Using Turnover, Volume, and Opening Gaps

Summary

This Chinese stock-selection example filters for companies associated with the metaverse theme, a prior-day actual turnover rate between 3% and 28%, current volume above 10,000 lots, and an opening price above the previous close. The stated rationale is to combine thematic exposure with recent trading activity and a positive opening gap. The document includes corresponding indicator conditions and a Python example that illustrates one way to assemble the screen from stock and daily market data.

The source cautions that high volume does not establish investment quality, an opening gap may not persist, and metaverse companies face competition and policy or technology risks. It suggests adding company quality, valuation, and broader market measures, and reviewing the cause and durability of price moves. No backtest or return evidence is given. The sample code also appears to have potential inconsistencies in how volume and prior-close data are derived, so its implementation should be checked against the stated conditions before use.

Key ideas

• The screen combines metaverse-related stocks with a prior-day actual turnover range of 3% to 28%.
• It also requires current volume above 10,000 lots and an opening price above the previous close.
• The source warns that high volume and a positive opening gap do not establish lasting value or momentum.
• It recommends adding company, valuation, and market context to the screening process.
• The code is illustrative and the document provides no backtest evidence.

Tags

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