A Metaverse Stock Screen Using Recent Limit-Ups and Moving-Average Alignment

Summary

This A-share screening idea focuses on stocks classified in the metaverse theme. It looks for at least one limit-up event within the preceding 25 days and a strict ascending arrangement of six moving averages, spanning short to longer lookback periods. The accompanying Python example requires enough history to calculate the longest average, checks the recent limit-up flag, and sorts qualifying stocks by market capitalization.

The document interprets a recent limit-up as evidence of market attention and moving-average alignment as a trend signal. It provides formula and code examples, but no backtest, sample, or return evidence. The explanation also overstates what these conditions establish: moving-average ordering does not itself demonstrate stable prices, strong management, or good performance. The screen omits fundamentals and may miss stocks whose averages are not aligned; the author suggests considering market capitalization, sector context, and additional indicators. The lookback definitions and suitability of the theme classification require careful verification before practical use.

Key ideas

• The strategy screens metaverse stocks for a limit-up event within the prior 25 days.
• It requires moving averages from five through 120 days to be in ascending order.
• The example sorts selected stocks by market capitalization after applying the conditions.
• The document provides no evidence that the screen improves returns or predicts business quality.
• It warns that fundamentals are omitted and suggests adding other filters or indicators.

Tags

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