Metaverse Stock Screen Using Turnover and Three-Day Candles

Summary

This Chinese-language post describes a stock-selection screen for companies classified in the metaverse theme. It filters for prior-day actual turnover between 3% and 28% and requires bearish real bodies across the preceding three sessions. The post interprets turnover as a possible sign of liquidity or market interest and the candle pattern as recent downward pressure, then supplies formula and Python examples for implementing the criteria.

The author flags risks from relying heavily on recent price action, potential underperformance during broad market rises, and excluding stocks affected by favorable news. Suggested improvements include adding fundamental measures or other technical indicators. No backtest design, performance figures, or evidence that the selection rules predict returns are supplied. The examples also appear to differ in candle inequality details, so implementation should be checked against the intended definition of a bearish candle.

Key ideas

• The screen focuses on stocks assigned to the metaverse theme.
• It requires prior-day turnover between 3% and 28% and bearish candles on each of the prior three sessions.
• The post presents turnover as a liquidity or market-interest filter and the candle sequence as a sign of recent weakness.
• The author recommends considering fundamentals and additional indicators, while noting recent-price dependence and possible exclusion of news-driven winners.
• No empirical results are provided, and code examples should be checked for consistent candle definitions.

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