As much as I dislike AI, it’s hard to disagree that it has its use cases. As a purely scientific tool, it’s a great way to sweep through troves of documents, research reports, news, and distill trends. While that makes it particularly useful for research, there’s one more sector that makes heavy use of it. The finance sector, particularly high-frequency trading, has been using AI and machine learning for a while now. Custom AI solutions are also used for predictive analytics and portfolio automation. However, those tools depend on highly specialized in-house AI tools. What I’ve been wondering is — can a general-purpose AI like Google Gemini be optimised to perform similar functions?
I was curious to know if an AI model could make sense of my investments, identify risks, and maybe even suggest strategies that were worth testing.
A few months ago, I decided to run a small experiment. Instead of blindly following every piece of advice from my portfolio advisor, I wanted to see what would happen if I brought Google’s Gemini AI into the mix. My idea was pretty straightforward. Take the same account statements I usually share with my advisor, feed them into Gemini, and ask it to give me an analysis. I also fed it mutual fund fact sheets and portfolio disclosures and asked it to run deep research surveys into the sectors and funds I was investing in. I was curious to know if an AI model could make sense of my investments, identify risks, and maybe even suggest strategies that were worth testing. And I’d put some money behind it as well. What happened next was rather interesting.
from Android Authority https://ift.tt/nai9R7x
via IFTTT
إرسال تعليق