Selecting Metaverse Stocks by Institutional Flow and Auction Turnover

Summary

This post describes a Chinese A-share screening rule: select stocks in the metaverse theme with a positive institutional-flow signal and prior-session auction turnover above 0.26. It gives indicator references and a Python example intended to implement the screen, although the example uses market-flow and price fields that do not clearly match the stated auction-turnover condition.

The post frames thematic membership, institutional activity, and auction turnover as ways to identify stocks attracting investor attention. It offers no backtest, performance data, or evidence that the filters predict returns. The author notes that auction turnover can be noisy and short-lived, and that market volatility can dominate individual signals. Suggested refinements include adding fundamental or technical measures, reducing chase behavior, and adapting thresholds to market conditions. The rule is therefore a screening idea rather than a validated trading strategy.

Key ideas

• The screen combines metaverse-theme membership with positive institutional flow and prior auction turnover above 0.26.
• The post associates these filters with theme interest and capital activity but provides no performance evidence.
• Auction turnover may be noisy and its price impact may fade quickly.
• The Python example's fields do not clearly implement the stated auction-turnover test.

Tags

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