Metaverse Stock Screening with a Rising 30-Day Average and Auction Value

Summary

This note outlines a Chinese A-share screening rule focused on metaverse-related stocks. It selects stocks whose 30-day moving average is rising, then ranks them by the day’s auction trading value and keeps the top five. The accompanying explanation treats the industry theme as a source of market attention and the moving average as a trend filter. It also suggests considering valuation measures such as price-to-earnings and price-to-book ratios alongside the initial conditions.

The note offers no backtest, performance figures, or evidence that the screen predicts future returns. Its cautions are that popularity and institutional flows can be unreliable, copying crowd choices can substitute for independent analysis, and fixed criteria may miss changing opportunities. The sample Python logic compares each close with a lagged rolling average, which is not exactly the same as testing whether the moving average itself is rising; implementations should clarify this distinction and check data timing. The strategy is a screening example, not a complete entry, exit, or risk-management system.

Key ideas

• The screen targets metaverse stocks and requires an upward-sloping 30-day moving average.
• It ranks eligible stocks by auction trading value and selects the five highest-ranked names.
• The note proposes adding valuation measures and other evidence to broaden the screen.
• Popularity and static filters may fail to predict returns or adapt to market changes.

Tags

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