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A Metaverse Stock Screen Using Prior Lows and Convertible Bond Data

Article SuperMind

Summary

This Chinese-language article describes a stock-selection screen combining three filters: membership in the metaverse concept group, a close above the previous day’s low, and a nonempty name for an outstanding convertible bond. The price condition is a simple short-term price-strength check. The article also provides examples of how the conditions might be represented in a screening formula and Python, and suggests adding financial measures or other indicators such as KDJ and MACD for further analysis.

The article offers a rule description and implementation examples, not a measured investment result or backtest. It warns that convertible-bond data may be inaccurate or volatile and that incomplete or nonstandard bond names can affect screening. The screen does not define entry timing, position sizing, portfolio construction, or exits; a code example includes illustrative position and stop-loss fields, but does not establish that they were tested. The author recommends considering fundamentals and other market information before using the selection criteria.

Key ideas

  • The screen requires metaverse concept membership, a close above the prior day’s low, and a named outstanding convertible bond.
  • The close-versus-prior-low condition is presented as a short-term momentum filter.
  • The article suggests adding financial criteria and other technical indicators for further filtering.
  • Convertible-bond data quality and price fluctuations may affect the selected stocks.
  • No backtest or evidence of investment performance is provided.

Tags

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