Metaverse Stock Screening with Prior-Day Rankings and Auction Volume

Summary

This post describes a short-term screen for Chinese stocks associated with the metaverse theme. It requires a prior-day appearance on the market ranking list and combines the prior day's turnover rate with the current day's auction volume relative to the prior day's volume, retaining values between 0.5 and 2. The article explains turnover and auction activity as signals of participation and market expectations, and includes platform-formula and Python examples.

The post provides no backtest, profitability statistics, or evidence that the selected stocks outperform. It cautions that short-term volume conditions can select illiquid stocks and that the screen ignores company fundamentals. It recommends broader filters such as market capitalization or financial measures. The code example also does not clearly implement all stated conditions consistently, so the calculation and data fields would need verification before use. The rules are best understood as a screening hypothesis rather than a tested trading strategy.

Key ideas

• The screen targets metaverse-related stocks that appeared on a market ranking list the previous day.
• It uses prior-day turnover and current auction volume relative to prior volume, with a specified bounded range.
• The post provides platform and Python examples but no performance evidence.
• The author flags liquidity risk and the lack of fundamental analysis.
• The implementation details should be checked because the code may not match the written rule consistently.

Tags

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