Metaverse Stock Screening by Auction Activity and Moving Average

Summary

The document proposes screening Chinese metaverse-related equities using opening auction amount and a five-day moving-average condition. Its stated approach ranks candidates by auction amount, selects the top five, and filters for stocks whose price is above the five-day average. It also suggests adding fundamental measures and adjusting filters for different market conditions. The listed risks include neglecting company fundamentals and relying too heavily on technical signals.

The implementation details are inconsistent. The formula shown does not clearly encode the described top-five ranking or price-above-average rule, and the Python example filters on closing price versus a moving average before sorting by stock name. It also does not use auction amounts despite the stated strategy. The document provides no performance results or backtest evidence, so it describes a screening idea rather than a validated trading strategy.

Key ideas

• The proposed universe is metaverse-related equities listed on the Shanghai or Shenzhen exchanges.
• The stated ranking criterion is today’s opening auction amount, with a top-five selection.
• The strategy description adds a condition requiring price to be above a five-day moving average.
• The provided formula and Python example do not consistently implement the stated ranking and price filter.
• The document recommends adding fundamental checks and adapting filters to market conditions.

Tags

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