Screening Metaverse Stocks with a Rising 30-Day Average and Buying Pressure

Summary

This Chinese-language post describes an equity screen for metaverse-related stocks. It combines an upward-sloping 30-day moving average with a measure intended to compare aggressive buying volume (外盘) against selling volume (内盘), using a stated threshold of at least 1.3. The post frames the conditions as a way to find stocks with favorable short-term trends and stronger buying interest.

It provides formula and Python examples, but the implementations do not align perfectly: the moving-average code compares the close with the prior day's average rather than directly checking that the average itself is rising, and the volume expression depends on the meaning of the data fields. No backtest results or performance evidence are reported. The author cautions that this short-term screen can overlook long-term value and market or sector risks, and recommends validating its indicators and combining them with fundamental, market-cap, sector, and cycle analysis.

Key ideas

• The screen limits candidates to stocks classified in the metaverse theme.
• It combines the theme filter with a 30-day moving-average condition and a buying-to-selling volume ratio threshold of 1.3.
• The post supplies formula and Python examples, though the moving-average condition differs between the description and implementation.
• The strategy is short-term and has no reported performance test, so its thresholds and signals need validation.
• The author recommends considering fundamentals, market capitalization, sector context, and market cycles alongside the screen.

Tags

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