A Metaverse Stock Screen Using the Open Price, Moving Average, and Turnover

Summary

The document proposes screening stocks classified in the metaverse industry for an opening price near the 10-day moving average and prior-day turnover above the stated threshold. It gives formula and Python examples intended to implement those conditions, using industry membership, price data, and turnover data to build an eligible-stock list.

The accompanying discussion characterizes the screen as a short-term selection rule and warns that it uses few inputs, ignores company fundamentals, and may miss other opportunities. It suggests adding valuation and balance-sheet measures and researching industry and company prospects. The examples are references rather than validated evidence: no historical performance, transaction costs, execution assumptions, or precise operational definition of “near” is evaluated. The Python condition also differs from the prose in its use of a rolling average of opening prices, so implementations may not exactly match the described rule.

Key ideas

• The proposed universe is stocks assigned to the metaverse industry.
• The screen combines an opening-price proximity condition with a prior-day turnover threshold.
• The document suggests adding fundamental and industry research to broaden the selection process.
• No backtest or performance evidence is provided, and the code examples do not fully align with the prose rule.

Tags

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