How To Train AI To Pick Multi-Bagger Stocks: Wealthy Owl Method
No se pudo agregar al carrito
Add to Cart failed.
Error al Agregar a Lista de Deseos.
Error al eliminar de la lista de deseos.
Error al añadir a tu biblioteca
Error al seguir el podcast
Error al dejar de seguir el podcast
-
Narrado por:
-
De:
👉 Visit and follow the Wealthy Owl portfolio: https://stockcard.io/portfoliostore/wealthyowl
👉 Submit stock research requests to Wealthy Owl: https://twitter.com/OwlWealthy
This episode is a conversation with Matt Wolodarsky, the brain behind the Wealthy Owl portfolio that has been beating the S&P quite nicely. Over years of investing in technology companies, Matt has developed a 6-part methodology to research and pick stocks. Even more interesting is that he recently created a custom GTP (ChatGPT) to research and find multi-bagger stocks using the Wealth Owl multi-bagger methodology.
In today's episode, Matt and I discuss how you can use his custom GPT to research stocks. We go through each of the six components of the methodology and discuss four stocks that have passed the test of the Wealthy Owl methodology that you may want to consider researching and possibly buying, too.
All of you long-term, multi-bagger investors would love this episode!
This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit hodamehr.substack.com