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    <title>Algorithmic Trading and SEBI&#039;s Regulatory Sandbox: Legal Risks and Investor Protection</title>
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    <description>Algorithmic trading in India has moved from institutionally limited Direct Market Access and co-location to a retail-facing regulatory regime shaped by market manipulation risks, intermediary attribution problems, and investor protection concerns. Early safeguards required broker routing, risk controls, exchange permission, and algorithm identifiers, but flash crashes, co-location controversies, and unregistered retail vendors exposed gaps in enforcement and accountability. SEBI&#039;s Innovation Sandbox and Regulatory Sandbox provided controlled testing environments, yet deployment in the live market still requires full compliance. The 2025 framework resolves attribution by making brokers principals and vendors agents, while imposing audit trails, exchange approval, and research analyst obligations for black box strategies.</description>
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