Metaverse Stock Screening with a KDJ Golden Cross and Float Value Filter

Summary

This Chinese stock-screening proposal selects companies in the metaverse industry when the KDJ indicator has just formed a bullish crossover and circulating market capitalization exceeds 10 billion yuan. It proposes running the screen before 10:00 on each trading day and selecting securities that are actively tradable. The document gives both a platform-style screening expression and a Python example that calculates KDJ from high, low, and close data, derives circulating value from price and float shares, and filters by trading status and time.

The rationale offered is that the crossover may signal upward potential while a capitalization threshold narrows the universe to larger firms. The article acknowledges that reliance on one technical pattern can be risky, other indicators and valuation information are omitted, and capitalization data can fluctuate. It suggests adding complementary indicators and refining the size criteria, but provides no backtest, return data, comparison, or evidence that the screen predicts profitable trades. The method is a screening rule, not a complete portfolio or execution plan.

Key ideas

• The screen combines metaverse industry membership, a newly formed KDJ bullish crossover, and circulating value above the stated threshold.
• It restricts selection to tradable stocks before the stated morning cutoff.
• The example computes the crossover from K and D lines and calculates circulating value from price and float shares.
• The document flags single-indicator dependence and fluctuating capitalization data as limitations.
• No backtest or performance evidence is supplied.

Tags

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