Metaverse Stock Screening with Auction Flows and Turnover

Summary

This Chinese-language article outlines an equity screening idea combining three filters: membership in the metaverse concept group, positive net buying by major participants during the opening auction, and a turnover rate between 3% and 12%. It frames the filters as a way to combine market theme, auction-period fund flow, and a bounded measure of trading activity. Formula and Python examples are included as references for implementing the conditions.

The article cautions that the screen is simple and may produce missed or unsuitable selections. It notes that turnover alone does not fully capture liquidity and that the logic omits technical and fundamental considerations. It suggests adding further filters and adapting allocations to market conditions, but gives no backtest, return figures, or evidence that the selection rules work. The screen identifies candidates only; it does not specify a complete entry, exit, or risk-management process.

Key ideas

• The screen requires metaverse concept membership, positive opening-auction major-player net buying, and turnover from 3% to 12%.
• The proposed filters combine a market theme, auction-period flow, and trading activity.
• The article provides formula and Python examples as implementation references.
• It warns that simple criteria can miss candidates or select unsuitable stocks.
• Turnover alone is an incomplete measure of liquidity, and the method omits technical and fundamental factors.

Tags

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