webapp that periodically gathers new stock data and web scrapes stock news headlines, then passes all the data through an LLM to return suggested purchases for the day
Develop a python script to take in the following as parameters:
news headlines (from @madwirblet 's web scraper)
alpha vantage data (from @Nikola611 's alpha vantage script)
user filters (will be passed in from frontend)
and create a prompt with that data and pass through GPT LLM, then output the results (parse if needed). Ideally the results should output as a custom type, which you can choose to design based on what best fits the needs of the situation.
Develop a python script to take in the following as parameters:
and create a prompt with that data and pass through GPT LLM, then output the results (parse if needed). Ideally the results should output as a custom type, which you can choose to design based on what best fits the needs of the situation.