Screening Metaverse Stocks with Auction Flows and a Five-Day Average

Summary

This short stock selection note combines three filters: membership in the metaverse theme, positive net buying attributed to major participants during the opening auction, and price above its five-day moving average. The author presents theme exposure as a way to find market interest, auction flow as a capital-flow measure, and the moving average condition as a short-term trend filter. It also gives formula and Python examples intended to implement the screening logic.

The note offers no backtest results or evidence that these inputs predict returns. Its code and formulas may not measure the described conditions consistently: the Python example uses summed money-flow data and a closing-price comparison with the moving average, while data fields and dates are fixed or platform-dependent. The author flags data quality, short-term timing, and position risk, and suggests adding longer-term trend and company fundamentals. Treat this as a screening concept requiring validation, not a demonstrated trading strategy.

Key ideas

• The screen combines metaverse theme membership, positive opening-auction net buying, and price above a five-day moving average.
• The three filters are intended to represent theme interest, capital flows, and short-term price strength.
• The note provides formula and Python references, but their implementations do not fully align in how they measure the stated conditions.
• No performance evidence is given, and the author identifies data, timing, and position risks.
• Longer-term trend and fundamental filters are suggested as possible additions.

Tags

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