Metaverse Stock Screening with a Five-Day Average and Rising KDJ

Summary

The proposed stock screen focuses on the metaverse industry and combines a price condition with short-term momentum. It selects shares whose closing price is above the five-day moving average and whose KDJ K value has risen compared with its value two sessions earlier. The article gives screening logic and formula references for several Chinese market platforms, along with a Python example that filters stocks and calculates KDJ.

The post describes the rationale as favoring short-term strength and a rising oscillator, but supplies no backtest results or evidence of profitability. It flags market and policy changes, simplistic selection criteria, and the limitations of KDJ as risks. It suggests adding technical and valuation measures, company fundamentals, and comparisons among K, D, and J. The code example also includes extra market capitalization and sector filters, so its implementation is not identical to the stated final screening rule.

Key ideas

• The screen limits candidates to the metaverse industry.
• It requires the close to be above the five-day moving average.
• It treats a higher recent KDJ K value as a momentum condition.
• The article provides platform formulas and a Python implementation example.
• It warns that the conditions are simple and offers no performance evidence.

Tags

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