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InvestEdge: Stock Recommendation and Trading Platform

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International Research Journal of Engineering and Technology (IRJET)

e-ISSN: 2395-0056

Volume: 12 Issue: 03 | Mar 2025

p-ISSN: 2395-0072

www.irjet.net

InvestEdge: Stock Recommendation and Trading Platform Sumathi S*1, Bhavya Datta*2, Bhumika Singh*3 Disha Yadav*4, Janhvi Dikhit*5 *1Professor, Department of Computer Science and Engineering, JSS Academy of Technical Education, Noida, Uttar

Pradesh, India. *2,3,4,5Student, Department of Computer Science and Engineering, JSS Academy of Technical Education, Noida, Uttar

Pradesh, India. ---------------------------------------------------------------------***--------------------------------------------------------------------

Abstract - Online trading combines finance and

The use of information technology (IT) in finance has opened up new research avenues from an interdisciplinary standpoint. However, conventional financial theories alone are unable to fully explain the complexities present in this IT driven financial environment. Although they are still not fully explored in the financial industry, frameworks such as the Technology Acceptance Model (TAM) have proven crucial in understanding user experiences and IT adoption in a variety of fields. Similar to this, current financial theories like Portfolio Theory and Behavioral Portfolio Theory (BPT) have largely ignored how IT affects these dynamics in favor of concentrating on behavioral biases and rational decision-making. This review aims to address this gap by exploring how IT—especially its perceived usefulness and user contentment—influences traders’ risk-taking tendencies and the effectiveness of their portfolios. This study examines the relationship between IT adoption and financial decision-making by drawing on recent research and applying interdisciplinary methodologies. In addition to contributing to the expanding corpus of work at the intersection of technology and finance, this study emphasizes the critical role that IT plays in con temporary finance and offers a thorough understanding of the opportunities and difficulties present in the current online trading environment. Since so many traders now rely on ITdriven platforms, it is imperative to comprehend the ramifications of this change. In order to ensure that the relationship between IT and finance develops in ways that benefit individual traders as well as the larger financial system, this review compiles recent research while also pointing out areas that require further investigation.

technology into an active alliance that has changed the way people interact with financial markets. The evolving environment of online trading platforms is examined in this paper together with their effects on traders’ actions, risk tolerance, and portfolio results. By means of an analysis of several studies spanning thousands of trading accounts, field research with seasoned investors, and consumer feedback, we expose significant insights on the efficiency and satisfaction related with these platforms.

Especially in a globalized, privatized, and digitalized environment, the study underlines the need of consumer awareness and seamless trading experiences. This paper emphasizes the need of companies using consumer insights to solve problems, enhance trading systems, and offer innovations with an eye toward the user. Key Words: InvestEdge, Stock Trading Platform, Machine Learning, LSTM, Recurrent Neural Network, Regression.

1.INTRODUCTION The fast development of technology has fundamentally changed the financial scene, thus online trading is becoming a necessary component of contemporary investing plans. Through their speed, simplicity of access, and cost effectiveness, digital trading platforms have changed the conventional stock trading approach. Currently, traders value the ease with which they may place buy and sell orders for securities with just a few clicks, so lessening their reliance on in person broker or financial advisor visits. This development has not only increased access to financial markets but also given trading behavior and portfolio management fresh dimensions. Because online brokers charge less commissions, trading online has become less expensive, which helps to drive more regular turnover and increasing trading volumes. While traders gain from this convenience, it begs questions about how rising trading activity affects portfolio results, especially in view of related transaction costs and possible behavioral biases. Furthermore, the rise of” social trading,” in which traders share their strategies and activities online, has promoted a communityoriented approach to investing by fusing elements of social media with financial decisions.

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2. LITERATURE REVIEW Technology’s integration into stock trading has radically changed how investors interact with financial markets, creating opportunities for efficiency while also posing new difficulties for platform development and investor behavior. The evolution, acceptance, and effects of online trading plat forms—particularly their impact on stock recommendations and trading actions—are examined in this review, which compiles important contributions in the field.

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