Screening Metaverse Stocks with a Ten-Day Moving Average and Price Gain

Summary

This Chinese-language post outlines an A-share screening rule for stocks classified in the metaverse industry. It looks for an opening price near the ten-day moving average, a daily gain above a threshold, and main-board eligibility. It gives example formula logic and a Python sketch, though the code’s price and moving-average calculations do not fully match the stated screen, so implementation details need careful checking.

The post offers no backtest or return evidence. It warns that the screen uses few inputs and omits company fundamentals, governance, and data-quality checks. Suggested extensions include adding accounting and governance measures or exploring machine learning, but these ideas are not evaluated. The screen is best read as a basic technical and industry filter rather than a demonstrated strategy; its market classification and timing assumptions may also affect results.

Key ideas

• The screen combines metaverse industry membership with an opening-price condition around a ten-day moving average.
• It adds a daily price-gain filter and limits candidates to specified mainland Chinese stock boards.
• The sample code does not consistently implement every stated condition, so its details require verification.
• The post provides no performance test and flags missing fundamental and governance information.
• Possible extensions include adding company metrics or testing a machine-learning model.

Tags

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