Metaverse Stock Screening with Float Size and Rising KDJ K

Summary

This note describes a Chinese A-share screening rule that combines a metaverse industry filter, a circulating-share limit of 5.5 billion shares, and a positive growth rate in the K value of the KDJ indicator. The intended logic is to focus on a topical industry and select stocks whose short-term KDJ momentum is increasing. It gives a formula for calculating the K-value growth rate and a Python example that applies the filters to market data.

The note cautions that the screen omits company fundamentals such as financial condition and valuation, and that KDJ reflects current trend or momentum rather than long-term value. It suggests adding fundamental measures and other technical indicators, then monitoring candidates and adjusting the list. It provides no historical performance, test design, transaction costs, or evidence that the screen predicts returns. The example also depends on data fields and a sector classification whose definitions are not explained, so implementation would require checking the data and indicator calculations.

Key ideas

• The screen requires metaverse industry membership, a circulating-share count no greater than 5.5 billion, and a rising KDJ K value.
• The K-value growth condition compares the current reading with the previous day's reading.
• The note treats industry attention and short-term technical momentum as candidate-selection criteria.
• It warns that the rule excludes important fundamental information and that KDJ does not establish long-term value.
• The article offers no backtest or return evidence for the proposed screen.

Tags

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