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Screening Metaverse Stocks with a Curved-Price Pattern and Code Filter

Article SuperMind

Summary

This proposed Chinese-equity screen combines three criteria: membership in the metaverse theme, a curved price pattern, and a stock code beginning with 60. The article sketches a Python workflow that obtains stock data, computes a custom measure from daily highs, lows, and the prior close, and filters candidate names. It also suggests combining technical signals with fundamental information for a fuller assessment.

The pattern is not formally defined: the sample measure is a normalized daily range and does not establish that a rounded chart formation exists. The document reports no backtest, returns, or comparison against a benchmark. It warns that chasing popular themes can be risky, concentration in a single industry is hazardous, and restricting the universe by code prefix may introduce statistical bias. The screen is therefore an informal starting point rather than a validated strategy.

Key ideas

  • The proposed screen combines a metaverse industry label, a curved-price condition, and a code-prefix filter.
  • The example pattern measure uses daily high-low range relative to the previous close, but does not rigorously define a rounded formation.
  • The article recommends adding other technical and fundamental criteria.
  • Theme concentration, momentum chasing, and code-based selection may create investment risks or bias.
  • No performance test or empirical evidence is presented.

Tags

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