A Metaverse Stock Screen Using Opening Auction Amount and Price Change
Summary
This Chinese-language post outlines a daily A-share screening rule focused on the metaverse sector. It selects stocks whose indicated gain by 9:25 is below 6%, ranks eligible names by the current day's auction amount, and keeps the top five. The post includes example screening formulas and a Python-oriented outline that draws on market data sources. Its stated selection logic is the main substance; it gives no backtest, portfolio returns, or evidence that the candidates subsequently rise.
The author warns that ranking only by auction amount omits company fundamentals and that widespread use could distort supply and demand, weakening the screen. Suggested refinements include combining the auction ranking with financial, industry, and historical trading information, and periodically revisiting the rules. The article's explanatory text and code examples do not fully align: one code condition compares a current quote with a prior close using a 6% bound, while the written logic uses the pre-open gain condition. Data availability and exact timing conventions would therefore need careful validation before reproducing the screen.
Key ideas
- The screen focuses on metaverse-sector stocks in the Chinese A-share market.
- It filters for a pre-open gain below 6% and ranks candidates by auction amount.
- The stated selection takes the five highest-ranked stocks.
- Auction amount alone does not assess company fundamentals and may be crowded.
- The example formulas and code have different-looking implementations of the gain filter.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.