A Metaverse Stock Screen Using the Ten-Day Average and Firm Criteria
Summary
The proposed Chinese equities screen narrows the universe to companies classified in the metaverse industry, then looks for an opening price near the ten-day moving average of closing prices. The article describes this proximity as a way to find stocks with relatively steady price behavior. It also adds a company-characteristics filter, but leaves the qualifying business or ownership criteria undefined. The supplied implementation sketch uses a five percent proximity threshold and excludes recently listed firms, while suggesting valuation and profitability data such as price-to-book, price-to-earnings, and return on equity for further ranking.
The screen is a selection concept, not a complete trading system: it specifies no entry execution, exit, holding period, or position sizing. The company filter remains subjective, and proximity to one moving average alone may omit relevant market and fundamental information. The article gives no backtest, benchmark comparison, or returns evidence. Its example code and data references should therefore be treated as an illustration of the proposed filters, not proof of reliability or profitability.
Key ideas
- The screen limits its universe to stocks classified in the metaverse industry.
- It selects for an opening price near the ten-day average of closing prices.
- Company characteristics are included as a filter, but the article does not define their requirements.
- Valuation and profitability measures are suggested as possible additions to the selection process.
- No backtest or performance evidence is provided, and the screen does not specify trade management.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.