Metaverse Stock Screening with Volume Ratio and Auction Turnover
Summary
This Chinese community post presents an equity screening idea focused on stocks classified in the metaverse industry. It selects candidates whose volume ratio is above 1.5 and below 6, and whose prior-day auction turnover rate exceeds 0.26. The post explains the turnover condition as a way to avoid selecting shares with weak trading activity, and includes illustrative indicator formulas and a Python-style data workflow for applying the filters.
The post cautions that high liquidity does not establish sound fundamentals or competitive strength, and that auction turnover can be affected by short-term volatility or unusual activity. It suggests adding technical and fundamental factors and checking the rules with historical data. However, it provides no backtest results, precise validation design, or evidence that the thresholds generalize. The formula and example code also contain incomplete elements, so implementation details and the meaning of the turnover calculation require independent verification before use.
Key ideas
- The screen targets metaverse industry stocks using a volume ratio range and an auction turnover threshold.
- The post presents auction turnover as a short-term activity and liquidity filter.
- It warns that trading activity does not capture a company's fundamentals or competitive position.
- Thresholds may need validation with historical data and additional screening factors.
- The document reports no performance results and includes incomplete implementation examples.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.