Screening Metaverse Stocks with Positive Returns and Rising KDJ Momentum

Summary

This post proposes screening metaverse-category equities for positive recent returns and a rising KDJ K value. It describes KDJ as a short-term price-trend indicator and gives a combined screening expression using a twenty-period KDJ setting. A Python outline also shows a sector-stock loop, price comparison, and calculation of K values, though it uses different KDJ periods from the stated final rule.

The rationale is to combine theme membership and positive price movement with an increase in a momentum indicator. The author notes that KDJ relies on price data, can miss fundamental and capital-related information, and may lose effectiveness when the broader market or company fundamentals change. Combining it with other indicators is suggested, but the post provides no backtest, measured results, or evidence that the proposed rule is profitable. The mismatch between the indicator periods in the formula and sample code also leaves the implementation less precise.

Key ideas

• The proposed screen selects metaverse-category stocks with positive recent price movement and rising KDJ K values.
• The stated final rule uses a twenty-period KDJ calculation.
• The accompanying Python outline applies a different KDJ period, leaving an implementation inconsistency.
• The author cautions that a price-based indicator omits fundamentals and may be affected by market-wide conditions.
• No performance study validates the screening rule.

Tags

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