UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 12 | Issue 10 | October 2025

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Volume 12 Issue 8
August-2025
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIRHC06011


Registration ID:
568526

Page Number

88-97

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Title

BEYOND HUMAN TRADERS: THE INFLUENCE OF STOCK MARKET EFFICIENCY AND VOLATILITY

Abstract

The rapid advancement of Artificial Intelligence (AI) has significantly transformed the global stock market landscape, reshaping traditional trading and investment methods. This paper examines the profound impact of AI-driven algorithmic trading and high-frequency trading (HFT) systems, highlighting how machine learning and advanced analytics enhance the speed, efficiency, and volume of stock transactions. By integrating predictive analytics, traders and financial institutions increasingly rely on AI-powered neural networks and deep learning models to forecast stock prices, analyse market trends, and make real-time trading decisions. Compared to traditional statistical models, AI models process vast, complex datasets more effectively, uncovering patterns that human traders often overlook. However, the adoption of AI in trading is not without challenges, including risks of overfitting, data biases, and unpredictable market reactions that can result in rapid, large-scale fluctuations. This study demonstrates how AI-driven models leveraged forecast of future trade patterns with increased precision for the next five years. It explores real-life cases of hedge funds and firms like Renaissance Technologies and Citadel. Regulatory bodies face new challenges in monitoring the lightning-fast trades executed by AI, raising concerns about market integrity, systemic risks, and the potential for AI-induced flash crashes. To address these challenges, this paper discusses current regulatory frameworks and highlights the need for updated policies that balance technological innovation with transparency and fairness. The study argues that while AI has revolutionized trading by increasing accuracy and profitability, responsible governance, explainability, and ethical deployment are vital to prevent misuse and ensure financial market stability. By analyzing both the opportunities and risks, this research contributes to the ongoing global dialogue about integrating AI into the financial system that benefits investors, institutions, and markets.

Key Words

Artificial Intelligence, AI Driven Algorithmic Trading, High Frequency Trading, Renaissance Technologies, Citadel, Trade Prognosis.

Cite This Article

"BEYOND HUMAN TRADERS: THE INFLUENCE OF STOCK MARKET EFFICIENCY AND VOLATILITY", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 8, page no.88-97, August-2025, Available :http://www.jetir.org/papers/JETIRHC06011.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"BEYOND HUMAN TRADERS: THE INFLUENCE OF STOCK MARKET EFFICIENCY AND VOLATILITY", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 8, page no. pp88-97, August-2025, Available at : http://www.jetir.org/papers/JETIRHC06011.pdf

Publication Details

Published Paper ID: JETIRHC06011
Registration ID: 568526
Published In: Volume 12 | Issue 8 | Year August-2025
DOI (Digital Object Identifier):
Page No: 88-97
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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