Metaverse Stock Screening by Open Price and Auction Turnover

Summary

This proposed stock screen first restricts the universe to shares classified in the metaverse industry. It then looks for an opening price around the ten-day moving average and ranks qualifying shares by the day's auction amount, selecting the top five. The article provides screening logic and sample code, but no historical test or trading performance evidence.

The rationale is that auction turnover may reflect investor attention and activity, while the moving-average condition identifies shares opening near a recent price reference. The author cautions that price and auction amount alone omit fundamentals, average price, volume, and other market factors; unusual trades or institutional flows may also distort rankings. Suggested additions include technical and fundamental inputs and stronger risk analysis. The written rule and code do not appear fully aligned on how proximity to the moving average is defined, so the condition should be checked before use.

Key ideas

• The proposed universe is metaverse-industry shares.
• The selection condition uses the opening price relative to a ten-day moving average.
• Qualifying shares are ranked by auction amount, with the top five selected.
• The article provides no performance test and cautions that the screen omits broader factors.
• The written rule and sample implementation may encode different moving-average conditions.

Tags

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