Metaverse Stock Screen Using Yesterday’s Leaderboard and 250-Day Average

Summary

This A-share screening rule selects stocks classified in the metaverse theme that appeared on the previous day’s trading leaderboard and whose previous-day closing price was above the 250-day moving average. The document outlines the conditions and gives examples of expressing them in screening platforms, alongside a Python workflow that fetches stock and price data, calculates the moving average, and skips records that are missing or cause errors.

The rule is a simple momentum or trend filter paired with a recent attention signal; it does not report backtest results or evidence that the screen is profitable. The article itself cautions that reliance on technical conditions may miss sharp market moves and proposes adding fundamental measures and multiple indicators. Data definitions and timing need careful verification: the sample Python procedure uses the latest available close and a leaderboard lookup, which may not exactly represent a fully point-in-time screen for the previous session. It also provides no entry, exit, sizing, or risk-control rules.

Key ideas

• The screen combines metaverse theme membership with a previous-day trading leaderboard appearance.
• It requires the previous-day close to be above the 250-day moving average.
• The sample workflow retrieves stock and price data, computes the moving average, and filters eligible names.
• The document gives no performance tests and warns that technical filters alone may not capture market risk.
• Fundamental measures and additional indicators are suggested as possible refinements.

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