Screening Metaverse Stocks with a Rising 30-Day Average in 2021

Summary

This document outlines a historical stock-selection screen using metaverse association, an upward-moving 30-day average, and the year 2021. It describes selecting stocks linked to the metaverse concept whose 30-day moving average is rising, with a date filter restricting observations to 2021. Indicator examples and Python-style code illustrate how the conditions might be represented.

The accompanying discussion frames the approach as combining a thematic filter with a technical trend condition and a time-specific fundamental context, but it gives no performance results or evidence that the screen identified successful trades. The author cautions that a short historical window may not represent broader market behavior, past conditions may not persist, and reliance on a narrow set of signals can overfit. Suggested improvements include using multiple time horizons and indicators, incorporating industry, fundamental, and policy information, and applying risk controls. The example code and prose do not fully specify a trading rule, such as entry timing, exits, or position sizing.

Key ideas

• The screen filters for metaverse-related stocks and an upward-trending 30-day moving average during 2021.
• The document presents the approach as a combination of a thematic filter and a technical trend measure.
• It warns that a limited historical period may not represent broader market conditions.
• The author flags overfitting risk when selection relies on few indicators.
• The document provides no backtest or evidence of realized performance.

Tags

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