Screening Metaverse Stocks by Recent Trading-榜 Activity and Share Price

Summary

This note proposes screening metaverse-related Chinese stocks that appeared on the previous day's trading榜 and had a share price below 12 yuan. It frames the price filter as a way to narrow the list to lower-priced shares, while treating the trading榜 appearance as a sign of recent market attention. It also sketches formula conditions and a Python-based approach to assembling candidates.

The article offers no backtest or performance evidence for the screen. It cautions that a low nominal share price does not establish value or business quality, and that the method omits financial and technical information that may matter. It suggests incorporating trading volume and company financial measures, and emphasizes data cleaning and checking historical behavior. The code is presented as a reference example; its data calls and indicator conditions would need to be checked before use.

Key ideas

• The screen combines metaverse classification, a previous-day trading榜 appearance, and a share price below 12 yuan.
• A low nominal share price does not by itself indicate that a stock is undervalued.
• The article suggests adding volume and financial measures to assess candidates more fully.
• No performance evidence is supplied, and the sample implementation needs validation.

Tags

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