Metaverse Stock Selection with Moving Average and Auction Filters

Summary

This document describes a Chinese equity screen for stocks in the metaverse industry. It combines a price trend condition, requiring the average price to be above its five-day moving average, with a positive opening-auction return threshold and a minimum combined value for large and extra-large buy orders. The stated rationale is to focus on stocks showing both short-term strength and sizable buying interest.

The article also gives example indicator definitions and a Python-style reference, but the reference appears inconsistent with the prose: some filters use daily data and volume-derived quantities rather than opening-auction order values. It reports no backtest results or out-of-sample evidence. The document itself flags risks from short-term market dependence, omission of company fundamentals, and sensitivity to broad market conditions, and suggests adding fundamental and market context before using the screen.

Key ideas

• The screen targets stocks classified in the metaverse industry.
• It requires the average price to stand above the five-day moving average.
• It applies opening-auction thresholds for price change and combined large-order buying.
• The reference implementation does not clearly match the stated auction logic.
• The article notes that fundamental and macroeconomic factors are not captured.

Tags

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