Screening Metaverse Stocks with a 10-Day Average and MACD

Summary

This Chinese stock-screening proposal narrows the universe to companies classified in the metaverse industry. It then selects stocks whose opening price is within five percent of the 10-day moving average of closing prices, alongside a negative MACD condition. The reference formula checks that MACD is nonpositive both currently and two bars earlier; its Python example defines MACD as the difference between 12-period and 26-period exponential averages, with a 9-period signal average, and filters the histogram.

The post interprets the moving-average proximity as an upward trend context and negative MACD as recent weakness, combining them to seek relatively inexpensive candidates. It cautions that this screen omits fundamental information and may miss other attractive stocks or select poorly performing ones in different market conditions. It suggests adding fundamentals, flow, and price-volume measures, but reports no backtest, return statistics, or evidence that the proposed combination is profitable.

Key ideas

• The screen is limited to stocks assigned to the metaverse industry.
• It requires the opening price to fall within five percent of the 10-day closing-price average.
• The reference implementation checks for nonpositive MACD-related values currently and two bars earlier.
• The post frames the combination as weakness near a short-term average, but provides no performance validation.
• The stated limitations include omitted fundamentals and sensitivity to changing market conditions.

Tags

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