Screening Metaverse Stocks by Recent Leaderboard Activity and Positive MACD

Summary

This document describes a daily stock screen for companies classified in the metaverse industry. It selects shares that appeared on the previous day’s trading leaderboard and have a positive daily MACD, using the stated 12, 26, and 9-period settings. A short code example explains calculating MACD from closing prices and applying the screen alongside industry and leaderboard conditions.

The screen combines a theme classification, a recent activity signal, and a trend indicator to identify active stocks with positive momentum. The document provides no backtest, performance data, or evidence that these conditions predict future returns. It cautions that the screen may favor overheated or overvalued stocks, and that MACD parameters affect results. It suggests adding technical, fundamental, and fund-flow measures, while also noting the need for careful data handling and risk and capital management.

Key ideas

• The screen requires metaverse industry membership, a previous-day leaderboard appearance, and positive daily MACD.
• The stated MACD settings use 12, 26, and 9 periods.
• The document gives a code example that computes MACD from daily closing prices.
• The screen may select crowded or overvalued stocks and has no reported performance evidence.
• Additional technical, fundamental, and fund-flow data could be used to refine the filter.

Tags

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