Screening Metaverse Stocks by Auction Value and Early Uptrend

Summary

The document describes a Chinese equity screen that ranks stocks in the metaverse industry by the day’s auction value and keeps the top five, subject to a condition labeled as an emerging strong uptrend. It presents the trend condition as a way to identify strengthening price direction, and gives a corresponding screening expression plus a Python example that attempts to detect a new high using recent price data. The article does not provide backtest results or performance evidence.

It cautions that the trend judgment may be unreliable, selected stocks may stagnate in the short term, and industry or fundamental changes can affect returns. It suggests adding technical indicators, trading activity measures, and fundamental review. The trend function’s code and data handling are not fully explained, and the article’s Python example combines screening concepts whose implementations are not shown. The screen is therefore a selection outline, not a fully specified or validated trading system.

Key ideas

• The screen focuses on metaverse-industry stocks and ranks them by auction value.
• It keeps stocks ranked among the top five that also pass an emerging-uptrend condition.
• The example trend function attempts to identify a price high relative to recent history.
• The article proposes adding technical, trading-activity, and fundamental checks.
• No backtest evidence is provided, and the trend condition is not fully specified.

Tags

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