Intraday Metaverse Stock Screen by Auction Activity and Price Gain

Summary

This proposed screen targets mainland Chinese main-board stocks classified in the metaverse industry. It ranks candidates by the day’s opening-auction amount, takes the top five, and requires the current price to be more than 1% above the open. A Python example attempts to apply the price filter and rank candidates using quote data, but its historical date range and data fields do not clearly establish that it measures the current day’s auction amount as described.

The post frames auction activity and early gains as indicators of market attention, without reporting backtest results or validating predictive value. It cautions that the approach relies heavily on technical and flow-related signals and may ignore company fundamentals, industry outlook, and changing market conditions. The suggested improvements—adding fundamental and industry filters—are not developed or tested, so the screen remains an illustrative, unvalidated short-term selection rule.

Key ideas

• The screen focuses on mainland Chinese main-board stocks in the metaverse industry.
• It ranks candidates by opening-auction amount and selects up to five stocks.
• Candidates must rise more than 1% above their opening price.
• The post warns that the approach neglects fundamentals and may be vulnerable to market shifts.
• No backtest evidence is supplied, and the example code may not match the stated auction ranking precisely.

Tags

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