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Metaverse Stocks Screened by Prior Low and Valuation Ranges

Article SuperMind

Summary

This document describes a Chinese equity screen for metaverse-related stocks. It combines a close above the previous session’s low with specified price-to-earnings and price-to-book ranges, and limits the universe to Shenzhen main-board stocks. The accompanying examples show how these conditions could be expressed in a stock-screening formula and applied to tabular data. The article also suggests equal allocation among selected stocks and a stop level based on a rolling low, but presents these as sample implementation ideas rather than a tested trading system.

No backtest, performance record, or evidence that the screen predicts returns is provided. The article itself flags the narrowness of the criteria and the possibility that the valuation limits leave few candidates. It recommends adding financial, market, and industry measures, while managing risk and position size. The metaverse classification and valuation data also depend on the chosen data source and screening definitions.

Key ideas

  • The screen combines metaverse membership with a close above the previous day’s low.
  • It restricts candidates to Shenzhen main-board stocks within stated price-to-earnings and price-to-book bands.
  • The sample implementation proposes equal weighting and a stop based on a rolling low.
  • The article provides no backtest or evidence of profitability.
  • It warns that narrow criteria may produce few stocks and recommends additional screening and risk controls.

Tags

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