Metaverse Stock Screening with Long Moving Average Trends

Summary

This stock screen combines membership in the metaverse theme with a long-term price filter and rising moving averages. It selects stocks whose price is above the 250-day moving average and whose 5-, 10-, 20-, 30-, 60-, 120-, and 250-day averages are each higher than on the previous day. The document gives equivalent indicator and Python examples for applying those conditions to Chinese equities.

The approach is a simple trend-following filter, not a complete trading system: it does not specify entry timing, exits, position sizing, or portfolio rules. The author cautions that the criteria may be too simple and sensitive to market sentiment, and suggests adding technical indicators and fundamental checks. No backtest results or performance evidence are provided, so the screen's effectiveness is not established.

Key ideas

• The screen limits candidates to stocks in the metaverse theme.
• It requires price to be above the 250-day moving average.
• It checks whether seven moving averages are rising versus the prior day.
• The document presents indicator and Python examples for implementing the filters.
• It gives no performance evidence and cautions that the rules may be too simple or sentiment-sensitive.

Tags

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