Metaverse Stock Screen Using Auction Amount Rank and Position Growth

Summary

This Chinese-language post describes a screen for stocks classified in the metaverse industry. It selects the five highest ranked by current-day auction amount and requires current-day position growth above 5%. The author interprets auction activity as a sign of relative market performance and position growth as a possible indication of institutional inflows. Example Supermind conditions and Python-style pseudocode are provided, though the implementation details and data definitions are not fully established by the post.

The article warns that market activity and position growth alone can be misleading, that selected stocks may underperform in the short term, and that industry and fundamentals can change. It suggests adding fundamental measures and technical indicators such as moving averages, RSI, or KDJ, and adjusting the position-growth threshold to suit a strategy. It reports no backtest, return, or risk statistics, so the selection rationale is not demonstrated empirically. The described rule is a short-term screening concept, not a complete trading system with defined exits or portfolio risk limits.

Key ideas

• The screen restricts candidates to the metaverse industry and ranks them by current-day auction amount.
• It keeps the top five auction amount ranks when position growth exceeds 5%.
• The author treats auction activity and position growth as possible signs of market interest and institutional inflows.
• The post cautions that these measures alone can mislead and recommends considering fundamentals and technical indicators.
• No performance testing or complete exit and risk rules are provided.

Tags

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