Metaverse Stock Screening with a Rising 30-Day Average and Turnover

Summary

This Chinese-language post outlines an equity screening idea focused on companies classified under the metaverse concept. It adds two filters: a rising 30-day moving average and prior-day trading value above 60 million yuan. The post also provides example indicator and Python selection logic, though its code and prose do not align perfectly: the written rule refers to prior-day turnover, while the examples use volume and compare the close with a lagged 30-day average.

The author notes that relying on technical signals and recent trading activity can overemphasize short-term noise, omit fundamental and sentiment information, and favor risky market hot spots. Suggested refinements include combining technical and fundamental measures, adapting criteria as market conditions change, and comparing recent turnover with its longer-run average. RSI, MACD, PE, and PB are mentioned as possible additions. No backtest, return results, or evidence of screening effectiveness is reported.

Key ideas

• The proposed screen targets metaverse-related stocks with an upward 30-day average.
• It adds a prior-day trading-activity threshold of 60 million yuan.
• The code examples use volume and a lagged moving-average comparison, which differ from parts of the prose.
• The author cautions that technical and turnover filters can amplify noise and narrow the selection.
• Fundamental measures and adaptive thresholds are suggested, but no results are reported.

Tags

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