Metaverse Stock Screen Using Turnover and Prior-Day Low

Summary

This A-share screening idea selects stocks classified in the metaverse industry when the previous day’s actual turnover rate is between 3% and 28%, and the close is above the prior day’s low. The post interprets the industry filter as exposure to metaverse-related businesses, the turnover band as a liquidity and activity check, and the closing-price condition as a possible sign of upward price behavior. It includes a formula reference and a Python example for assembling the filters from market data.

The post gives no backtest, portfolio construction rules, or performance evidence, so the proposed conditions should be treated as a screen rather than a demonstrated strategy. It acknowledges market and sector risk, delayed or unstable signals, and the possibility that successive filters leave too few stocks. The code example also uses a fixed historical trade date, and its turnover calculation and prior-low alignment would need careful validation before practical use.

Key ideas

• The screen focuses on metaverse-related A-share stocks.
• It requires prior-day actual turnover between 3% and 28%.
• It also requires the close to exceed the previous session’s low.
• The post provides implementation references but no evidence of investment performance.
• The author notes sector risk, unstable signals, and small selection counts as limitations.

Tags

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