Screening Metaverse Stocks by Five-Day Average and Prior-Day Leaderboard

Summary

This Chinese-language post outlines a stock screen for companies in the metaverse concept category. It selects stocks whose price is above the five-day moving average and that appeared on the prior day’s trading leaderboard. The post gives equivalent screening logic and a Python example using market data, a leaderboard listing, and a moving-average calculation. The example also filters by industry and market capitalization, although those additional filters are not part of the stated final screening formula.

The rationale is to combine a short-term price condition with recent attention reflected by leaderboard appearance. The post characterizes this as a way to find active names, but supplies no backtest, return data, or comparison with a benchmark. It also acknowledges that the conditions may not capture long-term company quality and that leaderboard interpretation can be subjective. The example’s data handling and timing should be checked before use, especially to ensure that the moving average uses the intended sequence of daily prices and that the leaderboard refers to the prior trading day.

Key ideas

• The screen focuses on stocks in the metaverse concept category.
• A selected stock must trade above its five-day moving average.
• The screen also requires appearance on the previous day’s trading leaderboard.
• The post provides both formula-style logic and a Python implementation example.
• The author notes that the conditions alone may be weak indicators of long-term performance.

Tags

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