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The Indian securities market is experiencing a structural shift as algorithmic trading expands from institutional dominance to robust retail participation via API-driven platforms. To mitigate risks and protect investors, SEBI has tightened regulations, positioning brokers as principal gatekeepers for third-party algorithms. Algos are now categorized into White Box and Black Box, with Black Box providers required to register as Research Analysts. Unlike the U.S., India enforces stricter rules, including prior exchange approval and mandatory order tagging. This rigorous framework generates significant opportunities for professionals in compliance, system audits, cybersecurity, and risk management.
The Indian securities market has witnessed a steady shift in the share of algorithmic and non-algorithmic trading across segments. While institutional participation continues to account for a significant proportion of algorithmic volumes, the gradual penetration of automation into retail trading marks a structural evolution in market conduct.
Algorithmic trading refers to the use of computer programs to automatically generate and/or execute trades based on pre-defined rules, parameters, or quantitative models, with limited or no real-time human intervention.
