Metaverse Stock Screening with a 250-Day Moving Average and Market Cap

Summary

This post describes a Chinese equity screen that selects stocks classified in the metaverse theme, trading above their 250-day moving average, with circulating market value above the stated threshold. It frames the theme filter as a way to target a popular sector, the moving average as a long-term price condition, and market capitalization as a proxy for liquidity and reduced manipulation risk. It also gives example indicator conditions and a Python outline for screening stocks.

The post provides no backtest, return evidence, or portfolio construction rules. It acknowledges that the conditions are sparse, may yield an untidy selection, and may be affected by market liquidity and sentiment. It recommends adding financial and performance measures and reviewing the screen over time. The sample code includes filters that do not match the stated final logic, so implementation details should be checked before use; the screening criteria alone do not establish an investment edge.

Key ideas

• The screen combines metaverse sector membership, price above the 250-day moving average, and a minimum circulating market value.
• The moving average and market value filters are presented as trend and liquidity criteria.
• The post gives indicator and Python examples but reports no performance test.
• The author notes that simple filters may produce noisy selections and suggests adding financial measures and periodic review.

Tags

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