Metaverse Stock Screening with Turnover and MACD Filters

Summary

This post describes a stock screen for companies associated with the metaverse theme. Its stated conditions are previous-day actual turnover between 3% and 28% and MACD above zero. The rationale is that turnover may indicate trading activity, while a positive MACD reading may reflect upward momentum. It provides an indicator formula and a Python example intended to illustrate screening, rather than reporting a historical test or measured returns.

The implementation does not cleanly match the stated logic: the Python example filters on daily percentage price change and MACD histogram, and its data and universe-selection steps raise questions about whether it identifies the intended Chinese stocks. The post itself notes that MACD responds to price fluctuations and that the screen omits fundamentals and industry conditions. It suggests adding fundamental and industry information and using dynamic stops. No evidence establishes that the screening conditions predict gains, and the example would need correction and validation before use.

Key ideas

• The stated screen selects metaverse-related stocks with previous-day turnover between 3% and 28% and MACD above zero.
• The author treats turnover as a possible sign of liquidity or market interest and positive MACD as a momentum signal.
• The post includes formula and Python examples, but the Python filters do not fully match the stated turnover rule.
• The post identifies omitted fundamentals and industry context as limitations.
• The document provides no backtest or performance evidence for the screen.

Tags

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