A Metaverse Stock Screen Using Returns and Auction Turnover

Summary

This post describes a stock-selection rule focused on the metaverse sector. It screens for positive returns and prior-day auction turnover above a stated threshold, then proposes adding a positive return over the preceding six months. The rationale is that sector membership may capture an emerging theme, positive returns reflect recent strength, and auction turnover may indicate trading activity and buying interest.

The post includes indicator formulas and sample Python, but reports no backtest, benchmark, or realized performance. It acknowledges that the screen omits company fundamentals and that auction turnover may be affected by speculative trading. The example code and indicator expressions may not align perfectly with the written conditions, and the rule’s effectiveness is therefore unestablished.

Key ideas

• The screen combines metaverse-sector membership with positive returns and prior-day auction turnover.
• A longer-term positive-return filter is proposed as an additional condition.
• The author treats auction turnover as a rough proxy for activity and trading interest.
• No performance evidence is presented, and the post flags missing fundamentals and possible speculation.

Tags

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