A Metaverse Stock Screen Using a Long-Term Moving Average and Order Book Imbalance

Summary

The proposed equity screen combines three filters: membership in a metaverse-related theme, a prior-day share price above its 250-day moving average, and top-of-book bid volume greater than ask volume. The document interprets the moving-average condition as a long-term price filter and the order book comparison as a short-term measure of buying pressure. It also sketches how a data workflow could identify theme constituents, inspect quoted depth, and check daily prices.

The article explicitly warns that market-wide risk remains, the filters omit other relevant indicators, and bid volume exceeding ask volume does not guarantee a price rise. It suggests adding fundamental and technical measures, but offers no backtest, sample period, return figures, or evidence that the theme or order book signal has predictive value. The screen is therefore a rule description requiring careful data validation and out-of-sample evaluation, particularly because point-in-time theme membership and order book data can affect results.

Key ideas

• The screen selects stocks in a metaverse-related group that trade above a 250-day moving average.
• It adds a top-of-book condition where bid-side volume exceeds ask-side volume.
• The moving average serves as a long-term price filter, while quoted volume is used as a short-term pressure proxy.
• The article cautions that the conditions can miss other information and do not ensure future gains.
• No empirical backtest or performance evidence is provided.

Tags

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