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2025 | OriginalPaper | Chapter

Tradewise—an Innovative Ai-Powered Approach to Stock Market Forecasting

Authors : Kuldeep Vayadande, Pranav P. Patil, Pranav C. Patil, Raj Patil, Sahil Patil, Ritesh Patil

Published in: Advances in Communication, Devices and Networking

Publisher: Springer Nature Singapore

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Abstract

Stock market predictions are been made with the advent of technological wonders such as worldwide digitalization, redesigning the traditional methodology of trade. Stock trading has evolved into a major area of investing for many financial investors due to the continuous rise in market capitalization. Many analysts and academics have created methods and systems that forecast stock price changes and aid investors in making wise choices. Researchers can forecast the market using unconventional textual data from social platforms thanks to advanced trading models. Both researchers looking for insights concealed in stock market data, and others looking to make money trading stocks have shown a keen interest in forecasting market movements. It is highly challenging to develop a system that can accurately anticipate the future direction of the stock market due to the tremendously nonlinear character of the stock market data but we have developed a website named TradeWise which is an innovative and autonomous website designed to revolutionize financial markets. Utilizing advanced machine learning and artificial intelligence algorithms, it analyses vast datasets, market trends, and real-time indicators to make informed trading decisions.

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Metadata
Title
Tradewise—an Innovative Ai-Powered Approach to Stock Market Forecasting
Authors
Kuldeep Vayadande
Pranav P. Patil
Pranav C. Patil
Raj Patil
Sahil Patil
Ritesh Patil
Copyright Year
2025
Publisher
Springer Nature Singapore
DOI
https://doi.org/10.1007/978-981-97-6465-5_24