Screening Metaverse Stocks with Shape and Auction Turnover Conditions

Summary

The document describes a China equity screening rule for metaverse-related stocks. It combines a rounded or arc-like price pattern with prior auction turnover above 0.26, alongside formula conditions involving price movement around the open, recent up-day counts, moving averages, and a 20-day low. It also gives example implementations in Tongdaxin formula syntax and Python-style data processing. The code and prose are not fully consistent: the written rule refers to prior auction turnover, while the examples appear to use turnover fields without clearly aligning the timing, and the Python snippet has apparent data and calculation issues.

The article suggests that fundamental, technical, and risk controls could be added, naming valuation measures and indicators as possible inputs. It warns that a turnover-only screen can omit company fundamentals and remain exposed to market, sector, and policy risks. No backtest, performance results, or evidence of improved selection accuracy is provided, so the described conditions should be treated as a screening hypothesis rather than a validated strategy.

Key ideas

• The proposed screen targets metaverse stocks using a rounded price pattern and auction turnover above 0.26.
• Additional formula conditions use price changes, counts of recent advancing sessions, moving averages, and a rolling low.
• The article proposes adding fundamental measures, technical indicators, and risk controls.
• The examples have timing and implementation inconsistencies, and no backtest evidence is reported.

Tags

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