An AI-powered financial market analysis platform for Turkish stock investors; offering real-time news, stock predictions, company insights, technical analysis tools and comparison between past and today, in terms of finance.
Investment Helper is designed for easy and seamless use of AI in investing, offering features that simplify investment decisions and enhance the overall experience for investors.
Ask any questions about finance that is related with some selected companies of BIST
Receive instant notifications when something important to you happens about the stocks that you are interested in.
Check what machine learning algorithms tell for the future of selected stocks.
Do technical analysis on stocks with ease.
Compare past news and stock trends with today's conditions to gain insights into future trends.
InvestmentHelper-AI is a project that is done for the CS 491 Course of Bilkent University. We plan to create a platform for the Turkish Stock Market investors that will help them while taking actions. Our supervisor for the project is Asst. Prof. Özgür Salih Öğüz and innovation expert is Murat Kalender.
The essence of the project is to provide users with a comprehensive finance companion. The companion will include a chatbot, that the users can interact with and ask comparative questions about the past and current state of the market. Also, through the chatbot, the users can enter the context of the news that they want to be notified about in real-time (e.g “Tell me when interest rate changes.”), then, financial news from the web will be analyzed and relevant notifications will be sent to users when detected. The live analysis of financial news, that will allow us to notify the users such that the users will be able to have an initiative regarding their financial portfolio, will be established through advanced Time-Dependent Knowledge Graph based RAG pipelines utilizing LLMs. The news that will be used will be scraped from the web, from reliable sources of finance. The companion will also provide stock predictions based on sentiment analysis of financial news and past numerical data, recognize current trends based on current and past context of the market, and allow technical financial analysis on graphical representation of various stocks. The tool will utilize artificial intelligence for the functionalities defined above.
These reports are prepared for the CS491(Senior Design Project) course.
Some detailed explanations to critical parts of the project
We are a group of 3 senior year Computer Science students.