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Research Paper Volume 9 Issue 2 2640 - 2651 April 28, 2026

From Manipulation to Regulation: Algorithmic Trading, the Jane Street Order and Sebi’s Evolving Governance Framework for India’s Derivatives Market

Lead author · Corresponding
Sohini Bag
Student at School of Law, CHRIST (Deemed to be University), Bangalore, Karnataka, India
View PDF Full text DOIhttps://doij.org/10.10000/IJLMH.1111821
Abstract

India’s equity derivatives market is the largest in the world by contract volume, yet its structural architecture has rendered it acutely vulnerable to algorithmic manipulation. On 3rd July 2025, the Securities and Exchange Board of India (SEBI) issued a 105-page ex-parte interim order against the Jane Street Group, alleging that the firm had systematically manipulated the Bank Nifty and Nifty 50 indices across 18 expiry days between January 2023 and March 2025, generating alleged unlawful gains of INR 4,843.57 crore. The enforcement action preceded, by mere months, the full operationalisation of SEBI’s February 2025 circular on the safer participation of retail investors in algorithmic trading, which took binding effect from April 1, 2026. This article examines the legal foundations of the Jane Street order under the SEBI Act, 1992 and the Prohibition of Fraudulent and Unfair Trade Practices Regulations, 2003, analyses the structural mechanisms of the alleged manipulation and critically evaluates whether SEBI’s 2026 algorithmic trading framework addresses the institutional governance deficits that the case exposed. The article finds that while the framework represents a meaningful advance in retail investor protection, it leaves critical gaps in the regulation of institutional and cross-segment algorithmic conduct, and argues for a statutory definition of algorithmic market manipulation alongside direct registration obligations for Foreign Portfolio Investors deploying high-frequency strategies on Indian exchanges.

Type
Research Paper
Information
International Journal of Law Management and Humanities, Volume 9, Issue 2, Page 2640 - 2651
DOI: https://doij.org/10.10000/IJLMH.1111821
Creative Commons
CC BY-NC 4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution–NonCommercial 4.0 International (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/), which permits remixing, adapting, and building upon the work for non-commercial use, provided the original work is properly cited.
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Copyright © IJLMH 2026
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The views and opinions expressed in this manuscript are those of the author(s) alone and do not reflect the views, policies, or position of the Journal.

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