WEALTH’S SECRET
Mr. Durgesh Tripathi
Associate Professor
Department of Computer Science Engineering Axis Institute of Technology and Management, Kanpur, U.P.
Shubham Kumar Sharma || Abhishek Verma || Anuj Omer
Student
Department of Computer Science Engineering Axis Institute of Technology and Management, Kanpur, U.P.
ABSTRACT
In recent years, trading applications have revolutionized the way individuals engage with the financial markets, providing unprecedented access to real-time data and advanced trading strategies. This paper presents "Wealth Secret," a cutting-edge trading application designed to cater to the needs of both novice and experienced traders. The application leverages real-time stock and index data sourced from yfinance, focusing on the top 50 stocks of Nifty-50, leading stocks in the banking sector, and a comprehensive range of mutual funds including mid-cap, small-cap, and large-cap categories.
"Wealth Secret" incorporates a robust backend developed in Python and deployed on PythonAnywhere, ensuring reliable and scalable performance. The frontend, built using Kotlin, offers an intuitive and user-friendly interface. Firebase Realtime Database and Firebase Auth provide secure and efficient data management and user authentication, complemented by local storage solutions through SQLite.
One of the standout features of "Wealth Secret" is its extensive coverage of options trading strategies, tailored to various market conditions—bullish, bearish, and sideways. This strategic depth equips users with the necessary tools to navigate the complexities of the financial markets effectively. Additionally, the application includes a dedicated section for purchasing, enhancing the user experience by facilitating seamless transactions within the platform.
This paper delves into the technical architecture, real-time data integration, and strategic functionalities of "Wealth Secret," highlighting its potential to empower traders with actionable insights and sophisticated trading capabilities. Through this research, we aim to demonstrate how innovative technology can transform trading practices, making them more accessible and efficient for a broader audience.
