Screening Metaverse Stocks for Three Concurrent Moving-Average and MACD Crossovers

Summary

This document proposes screening stocks in the metaverse sector for three simultaneous bullish technical crossovers: MACD over its signal line, the 5-day moving average over the 10-day average, and the 5-day average over the 20-day average. It adds a rounded or arc-shaped price-chart requirement, aiming to combine indicator signals with a visual pattern. The article describes the approach conceptually and includes sample formula and Python-style implementations, but presents no measured returns, backtest, or comparison against a benchmark.

The method has practical and evidential limitations. “Arc-shaped” is not consistently defined: the sample code checks whether every closing price in the data is above its overall mean, which does not directly measure a rounded chart pattern. The document also notes sector policy and regulatory risk, possible mismatch between technical and chart signals, and the need to assess company profitability. It suggests adjusting selection timing and adding predictive models, but supplies no evidence that these changes improve performance.

Key ideas

• The proposed screen combines three bullish crossovers across MACD and short-term moving averages.
• It limits candidates to the metaverse sector and requires a rounded chart pattern.
• The sample code's test for roundness does not directly identify an arc-shaped price pattern.
• The article identifies sector policy risk and possible conflicts between technical and visual signals.
• No backtest results are provided to establish the strategy's performance.

Tags

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