Generative AI Hackathon with IBM watsonx

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InnovateAI

Syed Uzair

Many individual investors and financial advisors struggle to effectively analyse stock performance, identify
potential investment opportunities, and mitigate risks. Most of the stock related information is scattered across
various third party apps and websites which makes it hard for the investor to gather relevant information.
Traditional methods often involve complex financial analysis, time-consuming research, and a lack of personalised
insights, that are not readily available

Our StreamLit application, powered by the IBM Watson Granite 7B LAB model, offers a user-friendly solution to
these challenges. By providing comprehensive stock analysis, generating actionable insights, and visualising price
trends, all in one place our app empowers users to make informed investment decisions.Our app also provides
ground-work to build your stock information on and then you are open to further consultation if you want to.

The code leverages AI model to analyse stock performance. It takes user input of a
stock ticker, extracts key metrics from historical data, prepares a summarised input text, and sends it to the model.
The model generates insights, strategies, and potential risks based on the input and its internal knowledge. The
results are then displayed on a Streamlit app interface.

Target Audience:
Individual Investors: Those seeking to invest in the stock market but lacking the expertise or time to
conduct in-depth analysis.
Financial Advisors: Professionals looking to enhance their client services by providing data-driven
insights and recommendations.
Beginners: Individuals new to investing who need guidance and support in understanding stock market
dynamics

An AI-powered platform providing investors and businesses with real-time stock market analysis by generating
insights and visualising price data etc. to drive informed decision-making

"InnovateAI team on Generative AI Hackathon with IBM watsonx Hackathon"

Team Idea

Submission