Metaverse Stock Screening by Turnover and Money Strength

Summary

This stock selection method filters for companies associated with the metaverse theme, a prior-day actual turnover rate between 3% and 28%, and rising money strength. The article describes money strength as the ratio of an estimated intraday inflow measure to cumulative traded money over a 26-period window, then ranks qualifying names by strength. It includes indicator formula references and a Python example intended to gather market data and apply related filters.

The post argues that turnover may indicate activity and that rising money strength may reflect buying interest, while acknowledging that rapidly changing flows can encourage chasing and obscure longer-term value. It offers no backtest, performance record, or validation of the data pipeline. The example's implementation details do not align perfectly with the stated screening rules, so the method requires careful review before use.

Key ideas

• The screen focuses on metaverse-related equities with prior-day turnover between 3% and 28%.
• It ranks qualifying stocks using a money-strength measure based on estimated inflow relative to traded money.
• The article notes that fast-changing flow measures can lead to chasing.
• No backtest or evidence of strategy performance is provided.

Tags

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