ETMarkets Smart Talk: Shruti Jain Explores How AI Algorithms Are Transforming India’s Retail Trading Landscape from Traditional Floor Trading.

India’s retail trading landscape is poised for a significant evolution with the emergence of AI-powered algorithmic trading. Once the realm of institutional investors and professionals, algorithmic trading is now becoming accessible to the retail investor segment, largely due to the Securities and Exchange Board of India’s (SEBI) framework introduced in February 2025. This regulatory shift is coupled with the availability of trading APIs and zero-code platforms from brokers like Arihant Capital Markets, which democratize access to sophisticated trading strategies for individuals lacking extensive market knowledge or technical skills.

The adoption of algorithmic trading is driven by a confluence of factors, including technological advancements and the changing dynamics of market participation. As the trading environment becomes increasingly complex and fast-moving, the emotional biases that typically affect manual trading decisions—such as fear and greed—pose significant challenges for retail traders. Automation offers a crucial advantage by enabling consistent adherence to predefined strategies without emotional interference, thereby enhancing trading discipline and execution speed. This capability aligns well with the growing sophistication of the retail investor base, which is expanding in both number and complexity of trading strategies.

Currently, there are over 22.5 crore demat accounts in India, providing a substantial foundation for algorithmic trading adoption among retail investors. While the trend is still in its nascent stages, with initial uptake predominantly seen among educated and seasoned traders, an interesting shift is underway. A new generation of young traders is entering the market with a preference for automated trading tools over traditional manual methods, reflecting a potential shift in trading habits that could see algorithmic trading become a mainstream practice. This changing demographic landscape indicates the likelihood of a burgeoning algorithmic trading ecosystem in India, driven by both technology and regulatory facilitation.

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Retail investors should recognize the growing potential of AI-driven algorithmic trading as a method to enhance portfolio performance and mitigate emotional biases in trading decisions. Embracing these technologies could lead to improved execution outcomes in a rapidly evolving marketplace.

Disclaimer: Market insights and analyses on Wealthova are strictly for educational and informational purposes and do not constitute financial or investment advice. Please consult a SEBI-registered financial advisor before making investment decisions.


Source: The Economic Times

(Expert Note: This intelligence brief was structured and verified by the Wealthova editorial desk.)