Financial Market Sentiment Analysis using LLMs
This workflow employs Large Language Models (LLMs) for the sentiment analysis of financial news sampled from financial news texts and company press releases.
The workflow reads financial news data, containing also the ground truth sentiment.
It demonstrates how to authenticate to the Al provider of choice, select the pertinent LLM and effectively prompt it to classify financial news as positive, negative or neural.
It scores sentiment predictions, exports them as a static PDF report and sends the report per email.