Metaverse Stock Screen Using Holder Concentration and the 10-Day Average

Summary

This document describes a Chinese equity screen for stocks classified in the metaverse sector. Its stated conditions are holder concentration below 20% and an opening price near the 10-day moving average. The rationale offered is to combine an industry filter with a measure of ownership concentration and a short-term price reference. The article includes indicator formulas and a Python example that also applies listing-age, asset-size, and financial-data filters, then sorts candidates by valuation and return-on-equity measures.

The source cautions that market-wide information and unexpected events can affect results, and that a concentration cutoff may exclude smaller firms with potential. It suggests combining technical, fundamental, and market data. No backtest, performance evidence, or definition of “near” is established consistently: the formula uses crossing conditions, while the Python example uses a percentage distance from the average. The extra filters and ranking steps mean the sample code is not a straightforward implementation of the stated screen, so results would depend on which interpretation is used.

Key ideas

• The screen targets metaverse stocks with holder concentration below 20%.\nIt pairs the sector and concentration filters with an opening price near the 10-day moving average.\nThe example code adds listing-age, asset-size, and financial-data filters and ranks candidates.\nThe formula and Python example define proximity to the moving average differently.\nThe document provides no backtest and notes that market events and the concentration threshold can limit the screen.

Tags

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