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

Summary

This stock-selection method screens China’s metaverse sector for shares whose closing price is above the five-day moving average and that recorded at least two limit-up sessions over the prior 500 days. The article presents these conditions as signals of short-term price strength and past investor demand. It also gives an example of expressing the rules in a stock-screening formula and outlines a Python implementation using daily stock data.

The method is a simple technical screen, not a complete investment process. The article warns that a fixed lookback for limit-ups may omit older price behavior and that limit-up counts ignore fundamentals and broader market conditions. It suggests adding valuation and profitability measures, considering other historical return information, and combining the screen with indicators such as RSI or KDJ. No backtest results or risk-adjusted performance evidence are provided, so the proposed signals’ profitability is not established. The example implementation also includes turnover-related filtering, which is not part of the stated final screening logic.

Key ideas

• The screen selects metaverse-sector stocks trading above their five-day moving average.
• It also requires at least two limit-up sessions during the preceding 500 days.
• The article interprets the conditions as signs of price strength and prior market interest.
• It recommends adding fundamental and technical measures to address the screen’s omissions.
• The document provides no performance results to establish whether the strategy is profitable.

Tags

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