Finwise–A Smart Investment Solution

This paper proposes an MLR-based framework of stock valuation and investment advisory system. The system requires the user to input his/her financial information and the current information about the stock in question. It then gives out very customized, individualized investment advice. Technologies: HTML5, CSS3, JavaScript, Django, Python, Scikit-learn, yfinance. The algorithm analyzes equities based on financial metrics: market sentiments, earnings, pulling real-time data from Yahoo Finance. MLR will then alter the advice based on customers financial conditions, including targets for investments and salary. The user-friendly interface enables easy data entry, which also displays individualized stock picks. Django integrates well with scikit-learn modeling and provides secure management of users data. At the very heart of this ingenious approach is to enable customers to achieve their financial goals by outpacing inflation through better investing choices. High performance based on real-time data and innovative technology.