Pulls six months of stock price data for the tickers you choose and has AI suggest which ones look most promising.
It branches. Every path runs; runs once per each stock ticker.
Pattern: Parallel Split (2) ยท Multiple Instances with a priori Design-Time Knowledge (13)
You want to compare how different stocks have performed before making a call, but pulling the data, charting it, and forming an opinion takes real time. Doing this research by hand for every stock you're watching is tedious, and it's easy to fall behind on names you care about.
An individual investor or analyst who tracks and compares a handful of stocks regularly.
You get a six-month performance comparison of the tickers you choose along with AI suggestions on which ones look most promising.
The hard question is not how to build it. It is whether this is the right thing to build first.
That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.
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