Metaverse Stock Screen Using Turnover and Moving Average Trend

Summary

This Chinese-language article describes an equity selection rule for stocks associated with the metaverse theme. It screens for previous-day actual turnover between 3% and 28%, then requires the 20-day moving average of closing prices to be above the 120-day average. The author presents the turnover band as a way to focus on actively traded shares and the moving-average relationship as a sign of strengthening short-term direction. The article also gives equivalent indicator expressions and a Python example using stock and daily market data.

The article warns that moving averages lag and that their separation cannot fully represent a company’s investment value. Unusual trading activity, changing company results, and shifting market conditions may also make selections unstable. Suggested improvements include adding company research and other technical indicators, then reviewing the criteria periodically. No backtest, benchmark, risk-adjusted performance, or evidence that the screen is profitable is supplied. The code is illustrative and its data handling does not establish a validated implementation of the stated rule.

Key ideas

• The screen focuses on metaverse-related equities with previous-day turnover between 3% and 28%.
• It requires the 20-day closing-price average to exceed the 120-day average.
• The article interprets turnover as activity and the moving-average comparison as a trend filter.
• The author identifies lag, market anomalies, and changing fundamentals as possible weaknesses.
• No performance test demonstrates that the selection rule is profitable.

Tags

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