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SEBI Probes Jane Street for Algorithmic Manipulation

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Context:

The Securities and Exchange Board of India (SEBI) has launched an investigation into the activities of Jane Street, a global proprietary trading firm, for potential manipulation of benchmark indices through algorithmic trades in India’s Nifty 50 and banking indices. The probe spans the last three years and follows complaints from rival firms over unusual trading patterns and supernormal profits.

What Is Jane Street?

  • A global quantitative trading firm founded in 2000 in New York.
  • Operates across ETFs, equities, bonds, and derivatives.

Why Is SEBI Investigating Jane Street?

  • Allegations of algorithmic manipulation using high-frequency trading (HFT).
  • Specific trades flagged by NSE in January 2025 involved rapid buy-sell reversals at extreme prices, possibly impacting price discovery.
  • The probe is part of SEBI’s larger effort to protect retail investors, who have suffered heavy losses in F&O markets.

What is Algorithmic Manipulation?

Algorithmic Manipulation refers to the intentional use of algorithmic trading systems—such as automated, high-frequency, or black-box algorithms. This includes generating false or misleading signals about supply, demand, or price of securities, often to mislead other market participants for unfair gain.

Key Elements:

  • Intentional misuse of automated trading logic.
  • Distortion of market prices, order book dynamics, or trading volumes.
  • Can involve spoofing, layering, quote stuffing, or momentum ignition.
  • Violates principles of market integrity and transparency.

India’s Current Legal Framework:

  • SEBI (Prohibition of Insider Trading) Regulations, 2015:
    • Focuses on preventing misuse of Unpublished Price Sensitive Information (UPSI).
    • Enacted for traditional manual trading; lacks specificity for algorithmic contexts.
    • Insufficient to track automated insider trading without AI-enabled enforcement tools.
  • Key Gaps Identified:
    • Absence of mandatory algorithm disclosure and audit norms.
    • No clear definition or legal interpretation of “algorithmic intent”.
    • Limited tech-based surveillance and reliance on post-facto compliance reviews.

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