A Metaverse Stock Screen for Arc-Shaped Bases and Early Uptrends

Summary

This Chinese-language article outlines an equity screen for companies in the metaverse industry, seeking an arc-shaped price pattern and signs that an advance is beginning. Its sample rules combine turnover limits, daily price-range conditions, a count of positive days over a 60-day window, moving-average comparisons, a 20-day low condition, and a volume increase. The article also offers example implementations in Tongdaxin-style query syntax and Python, though the code examples do not align perfectly in their data fields and calculations.

The author describes the approach as combining industry, chart shape, and trend, and suggests adding indicators such as RSI or MACD, valuation measures, and risk controls. No historical performance, benchmark comparison, or out-of-sample evidence is reported. The article itself notes subjectivity, possible concentration, and market, sector, and company risks. Its screening criteria therefore serve as a proposed selection recipe rather than demonstrated evidence of an effective strategy.

Key ideas

• The screen targets metaverse-related equities with a rounded price base and emerging upward momentum.
• Its example filters use turnover, recent price behavior, moving averages, lows, and rising volume.
• The article provides query and Python examples, but their data handling and conditions are not fully consistent.
• The author identifies subjectivity, concentrated selections, and market and company risks.
• No backtest or comparative 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.