With the overwhelming amount of data and news that can impact stock prices, it became imperative to create a tool that could assist both investors in making informed decisions. An ideal solution would democratize access to sophisticated stock analysis, allowing users to leverage advanced technologies to keep pace with the professionals.
TickerTalksAI fills this gap by utilising the powerful GPT-4 Language Model from OpenAI as its backbone, which not only summarizes financial data but also analyzes
recent news to provide a comprehensive stock outlook.
The inspiration for this project is rooted in the recognition that the realm of financial investment is rife with complexity characterized by a deluge of data points and continuous news streams which are often inaccessible to the average person.
This project is conceived as a bridge across this divide, harnessing the power of OpenAI's GPT-4 Language Model to analyze and synthesize financial data and news into actionable insights. It aspires to democratize financial analysis, allowing users to make more informed decisions and engage with the stock market in a more meaningful way.
Empowering smarter investment choices through the use of AI-driven insights.
- Integration with Yahoo Finance API for real-time stock data retrieval.
- Interactive stock chart display for easy visualization of stock performance over the last three months.
- OpenAI's GPT-4 model for processing and analysing summarisations.
- Responsive design for an optimal user experience across various devices and screen sizes.
- Minimalist UI design focused on usability and straightforward navigation.
- OpenAI API Key: For accessing AI models developed by OpenAI.
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Clone the Repo
git clone https://github.com/abhishek-x/TickerTalksAI.git -
Install packages
pip install -r requirements.txt -
Run
app.pylocallystreamlit run app.py
- Enter the Stock Ticker.
- Enter the OpenAI API key.
- Click on Get Summary Button.
Python 3.9, GPT-4, Yahoo Finance API, BeautifulSoup, Plotly, Streamlit
 Abhishek Aggarwal |