Screening Metaverse Stocks by Turnover and Auction Activity

Summary

This Chinese-language post describes a stock-selection screen for companies classified in the metaverse sector. It selects shares with prior-day turnover above 8% and prior-day auction turnover above 0.26, using these thresholds as proxies for market activity and liquidity. It gives corresponding indicator conditions and a Python example that retrieves sector constituents and checks auction and daily turnover data.

The post argues that high activity may help identify stocks with stronger price action, but it provides no backtest, performance results, or evidence that the screen improves returns. It warns that the selection depends on market conditions and liquidity, and that selected stocks may still be poor quality. Suggested refinements include adding fundamental or industry measures and constraints such as market capitalization or share price. The example is a screening illustration rather than a complete, validated trading system.

Key ideas

• The screen restricts candidates to the metaverse sector and requires prior-day turnover above 8%.
• It also requires prior-day auction turnover above 0.26 as a signal of trading activity.
• The post supplies both indicator conditions and a Python example for applying the filters.
• The author notes that liquidity-based selection can fail as market conditions change.
• No backtest or performance evidence is provided, and additional fundamental or size filters are suggested.

Tags

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