Metaverse Stock Screening with Arc Patterns, High Volume, and Gap Ups

Summary

This note describes a short-term screen for Chinese equities associated with the metaverse theme. It combines a user-defined arc-shaped price pattern with current volume above 10,000 lots and an opening price above the previous session’s high. The article gives corresponding screening expressions and a Python example that retrieves stock data and filters candidates. Its proposed arc measure is the absolute daily high-low range divided by the prior close, with an increase from the previous reading used as a proxy for the pattern.

The method aims to focus on active stocks opening strongly in a market theme. The author cautions that such technical and attention-based conditions can miss company fundamentals, that heavy trading may accompany sharp price swings, and that a gap up may reflect a fleeting trend. The arc definition is explicitly custom, so the screen’s results depend on how that shape is operationalized. The article offers possible additions such as other indicators, fundamental factors, and text analysis, but presents no backtest, performance evidence, or validation of the proposed rules.

Key ideas

• The screen combines metaverse industry membership, an increasing custom arc measure, volume above 10,000 lots, and an opening gap above the prior high.
• The suggested arc proxy uses the daily high-low range relative to the previous close.
• High activity and a strong open may indicate attention, but neither establishes durable value or trend persistence.
• The article gives example screening expressions and data retrieval code but reports no empirical performance testing.

Tags

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