Screening Chinese Metaverse Stocks by Size and Convertible Debt

Summary

This Chinese-language post describes a stock screen for companies classified in the metaverse theme. It selects firms with circulating market capitalization above the stated threshold and a nonempty name for outstanding convertible bonds. The rule combines a theme classification, a size filter, and a convertible-debt field; it does not explain why these conditions should predict returns or how often the screen is rebalanced.

The post gives example implementations using a platform formula and Python with Akshare data. It warns that the screen omits trading volume, price trend, and sector interest, and suggests adding technical or sentiment measures and reviewing company finances. The examples do not report backtest results, establish data-field reliability, or resolve whether the code’s market-cap calculation matches the stated threshold. The screen is therefore a filter proposal, not evidence of a profitable strategy.

Key ideas

• The screen requires metaverse classification, market capitalization above its threshold, and a nonempty outstanding convertible-bond name.
• The post sketches implementations in a platform formula and Python using market and financial data.
• It identifies omitted factors such as volume, price movement, and sector attention.
• It provides no backtest or evidence that the screening conditions predict returns.

Tags

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