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Screening Metaverse Stocks by Float Size and a Low K Value

Article SuperMind

Summary

The post describes a Chinese A-share stock screen limited to the metaverse sector. It selects stocks with a circulating share count no greater than the stated threshold and a daily-chart K value below 20. It presents the K value as derived from RSI, but does not clearly define the calculation; the indicator formula and sample Python are incomplete and do not establish a reproducible implementation. No backtest, performance statistics, or example picks are provided.

The author notes that the screen omits company financial condition, sector prospects, and historical performance, and that restrictive filters may leave too few stocks for a diversified portfolio. Suggested improvements include adding broader company and industry measures and relaxing the K threshold. The post is therefore best read as a basic screening example, not a validated trading system. Its code sketch also leaves key calculations unspecified, so users would need to verify data fields, indicator construction, and screening behavior before evaluating the idea.

Key ideas

  • The screen targets metaverse-sector A-shares using a circulating-share limit and a daily K-value threshold.
  • The post associates the K value with RSI but does not define its calculation sufficiently for replication.
  • It warns that the filter omits company fundamentals, sector prospects, and historical performance.
  • A narrow screen may produce too few candidates for a diversified portfolio.
  • The post gives no backtest or evidence of trading performance.

Tags

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