Metaverse Stock Screening by Turnover and Recent Price Spikes

Summary

This screening approach selects Chinese stocks associated with the metaverse theme, requires turnover above 8% on the previous day, and looks for at least one daily gain of 10% or more during the prior 25 trading days. The document describes the rules in plain language and gives example formulas and Python-style code for assembling the filters. Its rationale is to combine a thematic screen and a liquidity condition with evidence of recent strong price movement.

The document provides no backtest, performance figures, or comparison with alternative screens. It warns that theme and price filters can depend heavily on market sentiment, that single-factor selection can misclassify stocks, and that sharp recent advances may be followed by pullbacks. It suggests adding fundamental and technical measures, though it does not specify or test a complete combined strategy. The sample code and data fields may also require adaptation to the chosen data source and trading calendar.

Key ideas

• The screen targets metaverse-related stocks with previous-day turnover above 8%.\nIt also requires at least one daily price gain of 10% or more in the past 25 trading days.\nThe document presents the filters as a way to combine thematic exposure, liquidity, and recent price strength.\nIt cautions that sentiment shifts, sharp pullbacks, and reliance on limited indicators can weaken the screen.\nNo backtest or evidence of trading performance is provided.

Tags

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