Metaverse Stock Screen Using a Five-Day Average and Three Limit-Ups

Summary

This Chinese A-share screening strategy looks for stocks in the metaverse industry whose average price is above its five-day moving average and that had three consecutive limit-up sessions as of the prior day. The document gives both platform-style screening criteria and example code intended to illustrate how to filter stocks using industry membership, recent prices, and limit-up data. The core idea combines a short-term price-trend condition with a strong recent momentum signal.

The post warns that relying on recent limit-ups can miss changes in a stock’s outlook and that the screen omits company fundamentals and broader industry conditions. It suggests adding factors such as market capitalization, trading volume, and valuation, and tracking price changes over time. No backtest, performance data, or evidence that the screen has predictive value is provided. The example implementation also differs in places from the stated screen, so its details should not be treated as a validated specification.

Key ideas

• The screen targets metaverse stocks trading above their five-day average price.
• It also requires three consecutive limit-up sessions before the screening date.
• The strategy combines a trend condition with recent price momentum.
• The post identifies missing fundamentals and changing market conditions as sources of risk.
• No performance evidence is presented, and the code example may not exactly match the stated criteria.

Tags

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