Chinese Metaverse Stock Screening with a Rising 30-Day Average

Summary

This stock screen targets companies tagged to the metaverse concept, then filters for an upward-sloping 30-day moving average and prior-day turnover between 3% and 28%. The article presents the combination as a way to find active stocks in an upward trend. Its examples describe how the conditions could be expressed in a charting formula and in a Python data filter, including ranking selected stocks by turnover.

The document gives no backtest results or evidence that the screen predicts future returns. It cautions that a single day's turnover can be unrepresentative, turnover alone leaves out other relevant information, and popular themes may already have risen sharply. It suggests adding technical and fundamental measures and applying risk controls, but does not specify how to evaluate those additions. The examples also differ in their moving-average condition: one checks the average's direction, while the Python illustration compares price with a lagged average, so implementation details should be reconciled before use.

Key ideas

• The screen combines metaverse sector membership with an upward 30-day moving average and prior-day turnover in a specified range.
• The article illustrates the selection logic in both charting-formula and Python forms.
• It proposes ranking qualifying stocks by turnover, but reports no tested performance.
• One-day turnover and concentrated exposure to a popular theme can create selection risks.
• The article recommends broader indicators and risk controls without defining or validating them.

Tags

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