Screening Metaverse Stocks by the Ten-Day Average and Candle Shape

Summary

This Chinese-language strategy post describes a stock screen for the metaverse industry. It looks for shares whose opening price is near the ten-day moving average and whose recent price bars meet a proposed “arc” shape condition. The technical formula compares short, medium, and longer moving averages of a candle-range ratio, while the accompanying Python example also applies filters for listing age and circulating assets. The post presents the screen as a simple way to combine an industry classification with price behavior.

The document provides formula and data-fetching examples, but no backtest results or evidence that the screen predicts returns. It acknowledges that judging a curved chart pattern is subjective and that relying on this narrow set of conditions can omit company fundamentals, market context, and industry risks. The code and written conditions are not fully consistent: the formula uses crossover rules, whereas the Python example checks a percentage distance from the average. The author suggests adding broader data and using more objective pattern recognition, but does not demonstrate those improvements.

Key ideas

• The screen selects metaverse-related stocks with opens near their ten-day closing-price average.
• Its proposed arc condition compares moving averages of a ratio based on daily high-low range and candle body.
• The example code adds listing-age and circulating-asset filters beyond the core written rule.
• Visual pattern judgments are subjective, and the post reports no performance testing.
• The formula and Python example express the moving-average proximity condition differently.

Tags

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