Skip to content
All library documents

Metaverse Stock Screening with Arc Patterns and Buy-to-Sell Volume

Article SuperMind

Summary

This post proposes screening Chinese stocks associated with the metaverse theme for a rounded, arc-shaped price pattern and a daily buy-volume to sell-volume ratio above 1.3. It treats a higher ratio as a sign of positive trading sentiment and active demand. The post also includes sample screening code that adds a daily price-gain filter and restricts the candidates to stocks whose codes begin with a particular digit, although the code does not fully implement the stated arc-pattern condition.

The method is described as a heuristic based on theme classification, chart shape, and trading activity. The author cautions that technical screens rely on historical data and may not adapt to changing market conditions; buy and sell volume data may also be inaccurate. Fundamental company factors are suggested as additional inputs. The document supplies no performance evaluation, clear definition of the arc pattern, or rules for entries, exits, and position sizing, so it does not establish that the screen has predictive value.

Key ideas

  • The proposed screen combines a metaverse industry classification with an arc-shaped price pattern.
  • It requires the daily buy-volume to sell-volume ratio to exceed 1.3.
  • The sample code adds a daily gain condition, but does not clearly implement the stated chart pattern.
  • The author cautions that historical technical signals and volume data may be unreliable.
  • No backtest or complete trading rules are provided.

Tags

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