Metaverse Stock Screen with Auction Flows and Rising Moving Averages

Summary

This proposed A-share screen combines three filters: membership in the metaverse theme, positive net buying attributed to major participants during the opening auction, and an upward spread in moving averages. The stated moving-average rule compares the 10-day and 20-day averages, looking for the shorter average to move above the longer one. The article presents this as a way to find theme stocks with supportive auction activity and improving price trends.

It includes an indicator formula and sample Python selection logic, though the code's moving-average condition does not straightforwardly match the prose description, and the auction-flow calculations are not fully explained. The article provides no backtest, trade outcomes, or evidence that the filters improve returns. It notes risks from imperfect or stale data and from the difficulty of interpreting large-player flows, and suggests periodic review and broader risk assessment. Entry, exit, and position-sizing rules are not defined.

Key ideas

• The screen combines metaverse theme membership, positive opening-auction net buying, and moving-average direction.
• Its described trend filter compares 10-day and 20-day moving averages.
• The sample implementation may not match the written moving-average condition exactly.
• The article provides no performance evidence and flags uncertainty in data and flow interpretation.
• Trade management and position-sizing rules are left unspecified.

Tags

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