Screening Metaverse Stocks by Turnover and Prior-Day Price Limit

Summary

This article outlines a simple screen for Chinese equities associated with the metaverse theme. It selects stocks whose actual turnover rate from two trading days earlier falls between 3% and 28%, while excluding stocks that hit the upper price limit on the previous day. The article gives equivalent screening logic in a platform formula and a Python example that combines industry classification, turnover data, and daily price changes.

The rationale offered is that turnover within the chosen range may reflect market interest, while excluding prior-day limit-up stocks is intended to avoid especially sharp recent moves. These explanations are not supported with backtest results or a clear definition of the metaverse universe. The article itself cautions that the conditions are simple, can be affected by market and policy changes, and rely heavily on technical data. It suggests adding fundamental analysis and stronger monitoring, but does not specify position sizing, exit rules, or risk controls. The example is a screening recipe, not evidence of a profitable strategy.

Key ideas

• The screen targets metaverse-related stocks using a prior-day price-limit exclusion.
• It requires actual turnover from two sessions earlier to be between 3% and 28%.
• The article combines theme classification, turnover data, and daily price data to implement the screen.
• The proposed rationale is not backed by reported testing or performance evidence.
• The article identifies simple technical conditions and market changes as sources of risk.

Tags

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