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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM35276
Volume:
8 |
6 |
Jun 2024
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
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.
KEYWORDS
Publication Date
2/5/2024
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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