A Short-Float Metaverse Stock Screen Using Prior-Day Top-Trader Lists

Summary

The document describes a simple A-share screening idea: select companies associated with the metaverse concept, with circulating market value at or below the stated threshold, that appeared on the prior day’s 龙虎榜, a published list of notable trading activity. It outlines a Python example using market and list data to identify candidates, while noting that the screen could be extended with price patterns, moving averages, or volume measures.

The article frames the list appearance as a possible short-term signal but warns that it may reflect transient sentiment and does not establish a company’s fundamentals or future performance. The code is illustrative, and the source does not provide a backtest, returns, or evidence that the filter is profitable. Data availability, field units, date alignment, and the reliability of the listed trading data would need checking before implementation.

Key ideas

• Screen metaverse-related A-share stocks by circulating market value and appearance on the previous day’s notable-trading list.
• The proposed signal is intended for short-term candidate selection and may be driven by temporary market sentiment.
• The example uses market quotes and notable-trading data, with room to add technical filters.
• The document reports no performance test, so it does not establish that the screen is profitable.

Tags

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