A Metaverse Stock Screen Using a Five-Day Moving Average and Turnover

Summary

This stock-selection example screens companies classified in the metaverse theme, requiring the close to be above its five-day moving average and the prior day’s actual turnover rate to fall between 3% and 28%. The post presents the conditions as a short-term trend and liquidity filter, and gives equivalent formula references plus a Python example intended to select matching stocks.

The document cautions that the simple rules may omit useful information, narrow the candidate set, and rely on historical data whose future relevance is uncertain. It suggests adding technical and fundamental indicators, adjusting the turnover band, and considering company and market characteristics. However, it supplies no backtest, return or risk statistics, or evidence that the screen is profitable. The Python example’s turnover calculation and date handling would need careful verification before use; the post does not establish that its implementation faithfully measures the stated prior-day turnover condition.

Key ideas

• The screen selects metaverse-themed stocks trading above their five-day moving average.
• It restricts candidates to a stated band of prior-day actual turnover.
• The post frames the moving-average condition as a short-term trend filter and turnover as a liquidity signal.
• It acknowledges that the rules are simple, may narrow selection, and cannot establish future performance.
• No backtest results are provided, and the example implementation requires verification.

Tags

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