Selecting Metaverse Stocks by Positive Return and Auction Amount

Summary

This Chinese-language post outlines an equity screen for stocks classified in a metaverse category. It keeps stocks with a positive return for the day and ranks them by the day’s auction amount, selecting the top five. The proposed rationale is that a positive move filters out declining stocks, while auction value may indicate short-term trading interest and liquidity. The post also gives an example of expressing the screen in a stock-selection platform and describes a Python-based approach using market data.

The article does not provide a backtest, sample period, or measured returns for the selection rule. It cautions that a single day’s auction activity can be noisy and does not reflect longer-term capital flows, broader market conditions, or industry fundamentals. High auction interest may also raise execution costs as prices move upward. Suggested refinements include adding company financial measures, technical indicators, and market-state-aware risk and capital management. These are proposals rather than evaluated improvements, so the screening rule should be treated as an idea requiring further research.

Key ideas

• The screen selects metaverse-category stocks with positive daily returns and ranks them by auction amount.
• The proposed ranking uses auction activity as a short-term proxy for market interest and liquidity.
• One-day auction rankings may be noisy and may overlook broader market conditions and company fundamentals.
• High demand can increase trading costs through upward price movement.
• The article suggests combining fundamental, technical, and risk-management criteria but reports no test results.

Tags

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