Screening Metaverse Stocks with KDJ Crossovers and Prior Limit-Ups

Summary

This stock-screening proposal targets companies classified in the metaverse industry when the KDJ indicator has just formed a bullish crossover and the shares have recorded at least two limit-up sessions within the prior 500 days. It specifies selecting candidates before 10 a.m. for trading that day. The document includes formula and Python references intended to express the filters, but these examples should be treated cautiously: the code’s lookback and limit-up logic may not faithfully implement the stated 500-day condition, and no executed results or validation are reported.

The post argues that combining a technical crossover with a history of sharp gains may identify candidates, while acknowledging exposure to sentiment-driven volatility and the omission of macroeconomic and company fundamentals. Suggested refinements include adding fundamental measures, reconsidering selection timing, screening for excessive recent gains, and applying stop-losses or diversification. These are general suggestions rather than tested improvements. The strategy is a screening concept, with no documented backtest, transaction costs, portfolio rules, or evidence that its signals are predictive.

Key ideas

• The screen combines metaverse industry membership with a fresh bullish KDJ crossover.
• It also requires a history of multiple limit-up sessions within a long lookback window.
• The selection is intended to occur before 10 a.m. for same-day trading.
• The post warns about sentiment volatility and the exclusion of fundamentals.
• The supplied code and formulas are not accompanied by validation or performance evidence.

Tags

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