Screening Metaverse Stocks by Market Capitalization and Trading Value

Summary

This post describes a Chinese stock screen for companies classified in the metaverse theme, with circulating market capitalization above 10 billion yuan and previous-day trading value above 60 million yuan. It presents size and trading activity as ways to focus on larger, actively traded names. A Python example outlines fetching theme constituents, filtering by market capitalization, and then retaining stocks whose daily trading value exceeds the threshold. The example uses a fixed historical date, so it illustrates a data query rather than a complete live trading process.

The post gives no backtest, performance evidence, or fundamental analysis establishing that these filters produce attractive returns. It warns that the screen omits factors such as profitability, growth, and industry competition, and that sudden events can move market capitalization or trading activity. Suggested refinements include adding company financial measures, adjusting thresholds to market conditions, and controlling risk. The strategy is therefore a simple thematic liquidity screen, with limited support for its claims about stock quality.

Key ideas

• The screen selects metaverse-themed stocks above a circulating market capitalization threshold and a previous-day trading value threshold.
• The example queries historical market data and illustrates screening rather than a fully specified trading system.
• The post provides no backtest or evidence that the screen predicts returns.
• The author identifies missing fundamentals and event-driven shifts in liquidity or market value as limitations.

Tags

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