A Metaverse Stock Screen Using Opening Gains and Institutional Flow

Summary

This Chinese-language post describes a short-term A-share screening rule: select stocks in the metaverse sector, require the reported opening-price change at 9:25 to be below six percent, and require a positive institutional-flow indicator. It presents a corresponding sector-and-indicator filter and a Python example that retrieves sector and daily stock data. The post interprets positive institutional flow as a possible sign of favorable sentiment, while framing the screen as sensitive to short-term trend conditions.

The author cautions that short-term selection may overlook longer-term opportunities and that institutional activity does not guarantee a company's prospects. Suggested additions include technical, valuation, financial, competitive, and industry measures. The material does not provide a backtest, return series, benchmark, or evidence that the screen predicts performance. Its code example also describes daily data fields, so the supplied text does not establish that the implementation precisely captures a 9:25 intraday condition.

Key ideas

• The screen combines metaverse-sector membership with a capped 9:25 price-change condition and positive institutional flow.
• The post frames institutional flow as a sentiment input rather than proof of long-term company quality.
• The author identifies a risk of missing longer-horizon opportunities with a short-term screen.
• Fundamental and technical measures are suggested as possible additional filters.
• No backtest or performance evidence is given, and the example does not establish precise intraday measurement.

Tags

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