Metaverse Stock Screening with a Fresh KDJ Crossover and Float Limit

Summary

This screening method focuses on stocks in the metaverse industry. It selects shares where the KDJ indicator has just formed a bullish crossover and the circulating share count is no more than 5.5 billion. The proposed selection is run before 10 a.m. on each trading day, with eligible stocks considered for that day. The document also gives example screening logic and Python code, including a trade-status filter and a calculation intended to represent circulating shares.

The article explains that KDJ is used to identify a potential entry signal, while the float limit narrows the universe. It warns that relying on one indicator can make results unstable, that float data may be unreliable, and that the time restriction may overfit. It suggests adding other indicators, risk controls, data checks, and out-of-sample testing. No backtest results or performance evidence are presented. The title’s float figure differs from the body’s stated threshold, so the article is internally inconsistent on that detail.

Key ideas

• The screen limits its universe to metaverse-industry stocks.
• A recent bullish KDJ crossover is used as the technical entry condition.
• The article’s body sets a circulating-share ceiling and limits screening to before 10 a.m.
• The author identifies single-indicator dependence, float-data quality, and time-rule overfitting as risks.
• Suggested improvements include additional indicators, risk controls, data validation, and out-of-sample testing.

Tags

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