A Metaverse Stock Screen Using Volume Ratio and KDJ

Summary

The post proposes a Chinese equity screen for companies classified in the metaverse industry. It combines a volume-ratio band above 1.5 and below 6 with a KDJ bullish crossover. The author then expands the proposed screen to favor stocks with forecast profit growth in the top half and price-to-earnings ratios below the industry average. Example snippets outline how the filters might be represented in a screening query and a Python workflow.

The document gives no backtest, return series, benchmark, or evidence that the filters predict future gains. It acknowledges that the technical screen omits company fundamentals and capital-flow information, and that KDJ turning points may be inaccurate. The code example also does not clearly implement every stated condition: it calculates a simplified KDJ-like signal, and the profit-growth ranking described in the final logic is not visible in the sample filters. Results would depend on data definitions and implementation choices.

Key ideas

• The proposed screen selects metaverse stocks with volume ratios between 1.5 and 6.
• A bullish KDJ crossover is used as a technical selection condition.
• The expanded rules add relative forecast profit growth and below-industry-average valuation filters.
• The post offers query and Python examples but no performance test or return evidence.
• The author notes that technical signals can be inaccurate and the screen omits other information.

Tags

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