Metaverse Stock Screening with a Moving Average and Revenue Growth

Summary

The post proposes screening Chinese metaverse-related stocks using a price condition and historical revenue growth. It seeks shares whose opening price is near the 10-day moving average and whose 2021 revenue is more than 1.1 times 2018 revenue. It supplies example screening logic and a Python sketch that retrieves stock and price data, then filters and ranks candidates. The examples do not implement the stated screen consistently: the Python sketch includes return on equity and fund-flow checks, and its revenue fields and price calculation differ from the written criteria.

The author cautions that the screen omits relationships among financial measures and other influences on stock prices, including unexpected events and data quality. Suggested refinements include adding net profit measures and considering broader industry and market conditions. The post offers no backtest, performance evidence, or validation that the criteria predict returns. Readers should also treat the code as illustrative rather than a reliable implementation, since the data timing, field definitions, and calculations are not reconciled with the described selection rules.

Key ideas

• The proposed universe consists of stocks classified in the metaverse industry.
• The stated price filter looks for an opening price near the 10-day moving average.
• The fundamental condition compares 2021 revenue with 2018 revenue using a 1.1 threshold.
• The example implementation adds filters that are absent from, or differ from, the stated screen.
• The post gives no performance test and highlights data quality and omitted-factor risks.

Tags

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