Chinese Metaverse Stock Screen Using Arc Patterns and Turnover

Summary

This Chinese stock-selection example screens for companies classified in the metaverse sector, an arc-shaped price pattern, and prior-day actual turnover between 3% and 28%. It presents the combination as a way to seek stocks with an upward tendency and sufficient trading activity. Example snippets refer to a chart-platform filter and Python data retrieval, but the pattern rule in the Python example is a simple comparison of recent closing-price highs and lows rather than a clearly specified general arc detector.

The document offers no backtest, performance figures, or evidence that these criteria predict returns. It notes that turnover data may lag or be affected by sudden events, and that evaluating a curved pattern requires historical prices, limiting use on newly listed stocks. The screen is therefore an illustrative selection recipe; its sector classification, pattern definition, data timing, and thresholds would need validation before deployment.

Key ideas

• The screen combines metaverse-sector membership, an arc-shaped price pattern, and prior-day actual turnover within a stated range.
• The Python example approximates the shape with comparisons among recent closing prices.
• The article supplies code references but no backtest or evidence of profitability.
• Turnover may lag, and short price histories can make pattern screening unreliable.

Tags

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