Screening Metaverse Stocks with Arc Shapes and Shortening MACD Bars

Summary

This document outlines an equity screen combining a metaverse industry classification, an arc-shaped price pattern, and shortening green bars in a 15-minute MACD histogram. Its accompanying formula also applies price-range and moving-average conditions, ranks candidates by turnover, excludes one board type, and checks for a recent low. A Python example sketches a similar filter using market data and MACD calculations.

The document describes the rules but provides no backtest, performance evidence, or precise definition of the arc shape. It warns that short-term technical signals can fluctuate and may overlook company fundamentals and industry prospects. It suggests considering additional technical and fundamental measures and risk controls, though it does not specify how to evaluate those additions. The supplied examples also differ in implementation details, so the screen would need careful validation before use.

Key ideas

• The screen combines a metaverse classification with an arc-shaped pattern and a shortening 15-minute MACD histogram.
• The formula adds price-range, moving-average, turnover, board-type, and recent-low filters.
• The document gives example implementations but no evidence of historical performance.
• The author notes that technical signals can be volatile and may omit fundamental and industry risks.

Tags

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