Metaverse Stock Screen Using a Five-Day Average and Daily Return Bounds

Summary

The post proposes screening Chinese metaverse-related stocks using a short-term price condition and a bounded daily move. Its stated rule selects stocks whose average price is above the five-day moving average and whose gain lies between a loss limit of 5% and a gain limit of 2.6%. It presents formula references and a Python example intended to illustrate sector filtering and stock selection, but supplies no backtest, portfolio results, or evidence that the screen is profitable.

The post warns that a simple screen may miss relevant information, select stocks near a local high, and be exposed to sector-wide risk. It suggests adding technical and fundamental measures, historical volatility, valuation, and company quality checks. There are implementation ambiguities: the title uses a different gain threshold from the body, and the described price-above-average condition does not clearly match the supplied crossover expression. The Python example also uses data fields and filters that do not cleanly correspond to the stated rule, so the logic needs verification before use.

Key ideas

• The proposed universe is metaverse-related Chinese equities.
• The screen combines a five-day moving-average condition with a bounded daily return.
• The body specifies a daily move between minus 5% and plus 2.6%, although the title gives a different upper threshold.
• The post identifies sector risk, simple-rule limitations, and the possibility of selecting stocks near a local high.
• Its formula and Python example contain ambiguities that should be resolved before implementation.

Tags

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