Metaverse Stock Screening by Price and Positive Returns

Summary

This post proposes a simple equity screen for stocks classified in the metaverse industry. It selects shares at a specified price of 18.5 yuan and requires the latest close to exceed the previous close, treating that condition as a positive return. The post includes example screening logic and a Python illustration that also checks consecutive price increases before adding a stock to the output.

The method is a narrow filter rather than a complete investment strategy. Its price condition is tied to one exact level, and the post acknowledges that it omits valuation, fundamentals, broader market direction, and sector rotation. It recommends adding measures such as profitability, valuation ratios, and moving averages, but provides no test results or evidence that these additions improve returns. The code example and the prose also differ in how many positive daily moves they require, so implementation details would need clarification before use.

Key ideas

• The proposed universe is limited to stocks assigned to the metaverse industry category.
• The screen requires a share price of 18.5 yuan and a positive latest close-to-prior-close return.
• The code example adds checks for consecutive rising closes.
• The post identifies the lack of fundamental, technical, and market-regime filters as a limitation.
• No backtest or performance evidence is presented.

Tags

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