Metaverse Stock Screen Using a Long-Term Moving Average and Turnover

Summary

This Chinese stock-selection post proposes screening stocks associated with the metaverse theme, with price above a 250-day moving average and prior-day turnover above 60 million. Its stated rationale is to combine a popular sector, a long-term price reference, and a liquidity filter. It includes example indicator conditions and Python code sketching how to retrieve sector constituents and market data.

The post cautions that the screen may be exposed to market volatility and that relying on a single day’s data can be misleading. It suggests adding more technical, fundamental, and multi-day information. There is an internal mismatch: the final prose describes price above a five-day average, while the initial rule and formula specify a 250-day average; the code also checks a five-day average and appears to compare volume with a turnover threshold. No backtest or performance evidence is provided, so the criteria should be treated as an illustrative screen rather than a validated strategy.

Key ideas

• The proposed screen combines metaverse sector membership, a moving-average condition, and prior-day turnover above 60 million.
• The initial rule specifies a 250-day moving average, while later prose and code use a five-day average.
• The code’s liquidity check appears to use volume despite the stated turnover condition.
• The author notes that single-day data and market volatility limit the screen.
• No backtest or evidence of returns is reported.

Tags

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