Metaverse Stock Screen Using Prior Turnover and a Recent Price Drop

Summary

The document describes a Chinese-market stock screen restricted to companies classified in the metaverse theme. It selects stocks whose actual turnover rate on the prior day falls within a stated band and whose measured price decline lies within a narrow range. It provides formula references and a Python example that combines industry, turnover, and daily price data to produce a list of matching stocks.

The rationale is that moderate turnover may indicate market interest and a sharp short-term decline may create an entry opportunity, but the note offers no backtest, return data, or evidence that these conditions predict a rebound. It explicitly cautions that the screen can select stocks already in a downtrend and that a single day’s decline does not establish fundamental value or longer-term prospects. Suggested improvements include adding valuation measures and risk controls. The provided code also depends on external data access and specific date and classification conventions, so its results may vary with data quality and implementation details.

Key ideas

• The screen limits its universe to stocks classified in the metaverse theme.
• It combines a prior-day actual turnover band with a narrow recent price-decline condition.
• The document gives formula references and a Python example for joining classification, turnover, and price data.
• The author warns that the screen may include stocks in continuing downtrends.
• No backtest or evidence of subsequent returns is provided.

Tags

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