Metaverse Stock Screening with Rounded Bottoms and Institutional Buying

Summary

The document outlines an equity screening idea that combines membership in the metaverse industry, a rounded-bottom chart pattern, and recent institutional accumulation. Its final rule specifies institutional purchases totaling at least 10 million shares over the previous 15 trading days. The accompanying example describes filtering stocks by industry and reported increases in institutional holdings, then ranking candidates by holdings data and selecting a small group. The intended signals are industry exposure, a potentially constructive price formation, and evidence of institutional demand.

The post gives no backtest, performance results, or precise definition for detecting the rounded-bottom pattern. Its sample code does not clearly implement all three stated filters, and the author notes that institutional activity can be delayed or misread without examining fund flows and investment approaches. It suggests adding valuation and dividend measures or using machine learning and ownership data, but provides no validation for those additions. Treat the screen as a rough hypothesis requiring data checks and independent testing, rather than evidence of expected returns.

Key ideas

• The screen combines metaverse industry membership, a rounded-bottom pattern, and institutional accumulation.
• The stated accumulation threshold is at least 10 million shares added over the prior 15 trading days.
• The example ranks candidates using reported institutional holding data.
• Institutional buying signals may lag and require context about flows and investor behavior.
• The post provides no backtest or operational definition for identifying rounded-bottom patterns.

Tags

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