Metaverse Stock Screening with Long-Term Trend and Auction Activity

Summary

This note describes a Chinese equity screen that starts with stocks in the metaverse theme, filters for prices above the 250-day moving average, then ranks candidates by the day’s auction amount. It proposes selecting the top five and also mentions ordering by market capitalization. The idea combines a thematic universe, a long-term price trend filter, and a short-term measure of pre-open trading interest.

The description is internally inconsistent: its final logic substitutes a five-day average condition for the stated 250-day condition, and the sample code does not clearly implement the ranking and timing rules as described. No backtest, performance figures, or evidence of predictive value is provided. The note itself flags market fluctuations, the limited persistence of auction activity, and the risk of relying on a narrow set of signals. Treat it as a rough screening proposal that would need precise definitions, point-in-time data, and out-of-sample evaluation before use.

Key ideas

• The proposed universe consists of stocks associated with the metaverse theme.
• The initial screen requires price above the 250-day moving average and ranks candidates by auction amount.
• The note also proposes selecting five stocks and mentions market capitalization as a ranking criterion.
• Its final description and sample code conflict with the initial long-term moving-average rule.
• The article provides no performance evidence and warns that auction activity may be short-lived.

Tags

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