Screening Metaverse Stocks by the 10-Day Average and Daily Range

Summary

This note describes a short-term A-share screening rule for stocks classified in the metaverse industry. It looks for an opening price crossing above the 10-day moving average after the previous close and open were below that average, along with a daily high-low range of at least 1% of the previous close. The article supplies both indicator-formula logic and a Python example, though the Python implementation uses opening prices for its moving average and compares a multi-day range, so it does not exactly match the stated rule.

The rationale is to find volatile, potentially active stocks trading near a short-term average. The note offers no backtest or performance evidence. It cautions that technical filters omit company fundamentals and broader risks, and suggests adding fundamental review and adjusting position size to account for volatility. Data quality, implementation details, and risk controls remain important limitations.

Key ideas

• The screen focuses on metaverse-industry stocks whose opening price moves above the 10-day average after prior weakness.
• It requires a daily high-low range of at least 1% relative to the previous close.
• The article gives formula and Python examples, but their moving-average and range calculations are not fully aligned.
• It provides no performance evidence and recommends fundamental checks and risk controls.

Tags

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