Metaverse Stock Screening with Market Cap and Candle Conditions

Summary

This Chinese-language post presents an A-share screening rule combining metaverse-sector membership, a circulating market capitalization threshold, and a set of price conditions involving the current and previous daily candles. The conditions require the current close to be below both the previous open and close, while the current open is below the previous close. The post describes this as a morning-star pattern, though the explicit conditions are the actionable definition provided. It includes example expressions for a stock screener, a custom indicator, and a Python workflow using market and daily price data.

The author cautions that candlestick interpretation can be subjective and depends on reliable data. Broad market declines can also affect qualifying stocks, and the screen omits company fundamentals and exposure to unexpected events. Suggested refinements include combining the pattern with other indicators and fundamental checks. No backtest, out-of-sample evaluation, or performance evidence is supplied, so the post describes a screening recipe rather than demonstrating predictive value. The example code and data fields may require adaptation to current provider interfaces.

Key ideas

• The screen combines metaverse classification and a circulating market capitalization filter with daily candle conditions.
• The stated candle test compares the current session’s open and close with the prior session’s open and close.
• The post warns that pattern-based screening is subjective and may fail during broad market declines.
• It recommends considering fundamentals and additional indicators, but supplies no performance validation.

Tags

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