Metaverse Stock Screening with Price and Weekly Moving Average Signals
Summary
This stock screen narrows candidates to a designated metaverse industry group, then requires the close to be above its five-day moving average and a weekly five-period average to cross above the ten-period average. The intended idea is to combine an industry theme with a short-term price strength condition and a longer-horizon trend signal. The document also gives formula references and an outline for retrieving stock and daily price data and joining it with weekly moving-average values.
No backtest, return series, or comparison is offered, so the stated expectation of capturing trends is not supported by results in the document. The screen is concentrated in one industry and relies on only a small set of technical conditions. The text itself notes that other sectors may be excluded and suggests evaluating fundamentals, adding indicators, and periodically reassessing the rules. The sample Python filter does not clearly implement the stated moving-average crossover condition, so its code should not be treated as a verified equivalent of the written logic.
Key ideas
- The screen restricts candidates to a metaverse industry classification.
- It requires price above a five-day moving average and a weekly five-period average crossing above the ten-period average.
- The document supplies formula references and a data-joining outline, but no performance evidence.
- Industry concentration and reliance on a few technical rules limit the screen, and the sample code may not match its stated crossover rule.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.