Screening Metaverse Stocks with Recent Limit-Order-Book Rankings and Weekly MACD

Summary

The post describes a Chinese equity screen focused on stocks classified in the metaverse sector. It further requires a recent appearance on the market’s publicly reported trading activity ranking and a bullish weekly indicator signal. The formula examples express the weekly condition as a MACD line crossing above its signal line, and the Python-like example sketches scanning stock histories to identify candidates. The author also suggests adding other technical measures and applying diversification and capital controls.

The document offers a screening concept and implementation outline, but no historical test, return data, or evidence that the conditions predict profitable trades. The Python example is schematic and does not fully show how the ranking data or indicator values are obtained. Its timing and terminology may also need clarification before implementation; a qualifying screen alone does not establish investment potential, and the post acknowledges exposure to market and company-specific risks.

Key ideas

• The screen targets metaverse-sector equities with a recent appearance on a trading activity ranking.
• A weekly bullish MACD crossover is used as an additional filter.
• The post gives formula and Python-like examples but leaves parts of data retrieval unspecified.
• It provides no backtest or evidence of profitability.
• The author recommends additional analysis, diversification, and risk controls.

Tags

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