A Metaverse Stock Screen Using Morning Gains and Convertible-Bond Data

Summary

The post describes a Chinese A-share screening rule that selects stocks in the metaverse category, requires the stated 9:25 gain measure to be below six percent, and requires a nonempty field for an outstanding convertible-bond name. It presents corresponding formula-style conditions and a Python example intended to filter sector members, inspect price data, and rank selected stocks by price.

The author characterizes the screen as a way to find relatively stable candidates with potential, but provides no backtest, performance figures, or evidence for that claim. The post acknowledges that the narrow criteria can exclude good stocks and recommends adding company financials, announcements, macro factors, and technical indicators. The displayed formula and sample code may not implement the described 9:25 condition consistently, and the data-field availability is not established. The rule is best understood as an illustrative screen requiring validation, not a demonstrated strategy.

Key ideas

• The screen combines metaverse sector membership, a morning gain threshold, and a nonempty outstanding convertible-bond field.
• The post includes formula-style logic and a Python filtering example.
• The author warns that narrow selection conditions can introduce bias and omit other relevant factors.
• No performance evidence is supplied, and the examples require validation against the intended data and timing.

Tags

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