A Metaverse Stock Screen Using Turnover and Large-Order Flow

Summary

The document presents a China A-share screening idea focused on the metaverse theme. It selects stocks with previous-day turnover above a stated threshold and combines price change with a measure of net volume attributed to very large orders. It also includes a sample indicator formula and a Python example that retrieves sector constituents and market data before applying filters. The stated screening logic and code are not fully aligned: the formula uses turnover and a price-change-times-volume expression, while the Python example compares adjacent volume observations for one filter and uses price and volume data in another.

The post warns that the screen emphasizes short-term price activity and liquidity, potentially overlooking company fundamentals and longer-term value. It also notes that the definition of large orders may be ambiguous. Suggested refinements include adding financial or industry factors and using a stricter large-order definition. No backtest, transaction-cost analysis, or return evidence is provided, so the screen should be treated as an illustrative selection rule rather than a validated trading strategy.

Key ideas

• The screen targets metaverse stocks with high previous-day turnover.
• It combines price movement with a large-order net-flow or volume measure.
• The sample formula and Python implementation use differing filter details.
• The author identifies risks from short-term focus and ambiguous large-order classification.
• No performance evaluation or trading-cost analysis is included.

Tags

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