Metaverse Stock Screening with Morning Price and Turnover Filters

Summary

This Chinese-language post outlines an A-share screening rule focused on the metaverse sector. It selects stocks whose 9:25 price gain is below 6% and whose previous-day turnover measure exceeds 8%. It suggests ranking qualifying stocks by turnover as a way to prioritize market activity and attention. The post also gives example criteria for expressing the screen in charting software and a Python workflow using daily stock data.

The author presents the turnover condition as a liquidity and interest filter, and the gain cap as a way to limit selection of sharply rising stocks. No backtest, sample period, performance figures, or evidence of predictive value is provided. The post itself cautions that market swings and excessive reactions in turnover may affect results, and that the choices involve subjectivity. It proposes adding company valuation measures and technical indicators for broader screening. Its example code and turnover description may not precisely match the stated turnover-rate condition, so the operational definitions should be checked before use.

Key ideas

• The screen targets stocks classified in the metaverse sector.
• It combines a 9:25 price-gain ceiling with a previous-day turnover threshold.
• The post proposes ranking selected stocks by turnover to reflect trading activity.
• It provides charting-platform criteria and a Python example for implementing the filter.
• No historical test is reported, and the author flags market volatility and turnover overreaction as risks.

Tags

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