Metaverse Stocks Near the 10-Day Average With Institutional Buying

Summary

This Chinese stock-screening note proposes selecting companies in the metaverse industry whose opening price is near the 10-day moving average and whose reported buying activity exceeds selling activity. Its formula adds conditions comparing the current open and prior prices with the moving average, then checks buying and selling totals at several reported size levels. The accompanying Python example uses industry data, historical prices, and transaction data to approximate the screen.

The note frames institutional buying as a possible sign of confidence and proximity to the moving average as a potential entry characteristic, but supplies no backtest or performance evidence. It cautions that these signals alone do not establish a company’s financial quality or prospects and may omit other relevant factors. It suggests adding measures such as volume, price changes, and market capitalization, alongside industry and financial research. The formula and Python example express the criteria differently, so their outputs may not match; the note does not resolve that implementation gap.

Key ideas

• The screen focuses on metaverse-industry stocks opening near their 10-day moving average.
• It uses buying-versus-selling activity, including comparisons across reported trade sizes, as a second filter.
• The note provides a formula and a Python example, but their conditions are not fully consistent.
• Price and institutional-flow signals alone do not establish a stock’s financial quality or future performance.
• The author suggests combining the screen with additional market and company analysis.

Tags

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