Screening Metaverse Stocks by the Ten-Day Average and MACD Momentum

Summary

This note describes a Chinese-equity screen that combines metaverse industry membership, an opening price near or above the ten-day moving average, and rising MACD-related momentum. Its stated logic looks for a prior close below the average followed by an opening price above it, then uses a MACD condition as a proxy for an upward DEA signal. The article also sketches a Python implementation using market data and a technical-indicator library.

The note offers no performance results or empirical validation. Its conditions are not fully consistent: the headline calls for DEA to rise, while the formula describes MACD crossing above zero, and the Python example instead checks MACD against its signal line. The average calculation in the example also uses opening prices, whereas the written condition refers to a moving average of closes. The author identifies risks from short-term indicator noise, omitted fundamentals, and weak performance in unusual markets, and suggests adding other technical and fundamental inputs and validating the rules. These discrepancies mean the screen would need precise definitions before implementation or backtesting.

Key ideas

• The screen first restricts candidates to stocks associated with the metaverse industry.
• It seeks an opening price near or above the ten-day moving average after a prior close below that average.
• The article uses MACD-related conditions as a stand-in for rising DEA momentum, but its definitions differ across the formula and code.
• The approach relies on technical signals and does not assess company fundamentals.
• The note warns that simple indicator screens may misfire in volatile or unusual market conditions.

Tags

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