A Metaverse Stock Screen Using Auction Volume and Prior Turnover
Summary
The document describes a Chinese equity screen for stocks in the metaverse concept group. It combines a limit on the indicated price change at the morning auction with a ratio formed from the previous day’s turnover rate and the current auction volume relative to prior volume. The proposed ratio is bounded, and the post includes reference expressions for a charting platform and a Python workflow that selects qualifying stocks and then ranks them by market capitalization.
The author notes that auction volume and turnover can fluctuate and that price and volume behavior is difficult to predict. Suggested refinements include adding other technical indicators and smoothing unstable inputs. The post supplies no backtest, performance statistics, or validation of its implementation; its platform expressions and Python example should therefore be treated as an illustrative screening recipe rather than evidence of predictive value.
Key ideas
- The screen first restricts the universe to stocks associated with the metaverse concept.
- It combines an auction price-change condition with prior turnover scaled by current auction volume relative to prior volume.
- A Python example filters qualifying stocks and ranks them by market capitalization.
- The post warns that auction volume and turnover are volatile and may make screening results unstable.
- No backtest or measured evidence of profitability is supplied.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.