Securities and Exchange Board of India’s (SEBI) new rules on algorithmic (algo) trading for retail investors comes into effect today, 1 April 2026, marking a significant shift in how automated trading strategies can be accessed and regulated in the country.
In a circular issued in February last year, the capital markets regulator announced a framework to facilitate safer participation of retail investors in , with stock brokers and exchanges playing the required roles in risk management, ensuring proper checks and balances, safeguarding investor interest as well as integrity of the market.
SEBI outlined a series of measures to strengthen oversight, enhance accountability, and mitigate risks associated with the growing adoption of algo trading among individual investors.
Here are the new rules for algo trading effective today:
Structured API access and tighter controls
At the core of the new framework is the regulation of Application Programming Interface (API)-based trading. clarified that stock brokers will act as principals, while third-party algo providers or fintech vendors will function as their agents. All algo orders originating through API extended by brokers to algo providers, shall be tagged with a unique identifier provided by Stock Exchange.
Further, the same registered Algo shall be permitted to be used by such retail investors for their family – self, spouse, dependent children and dependent parents.
Brokers have also been directed to discontinue open APIs and instead allow access only through secure, client-specific API keys linked to static IP addresses. Additionally, authentication must be upgraded to OAuth-based systems with mandatory two-factor authentication.
Sebi has mandated brokers to maintain detailed records of all algo trades, including time, price, quantity, and order IDs to ensure auditability. API access must be secured with mandatory two-factor authentication, password expiry policies, and daily auto-logout systems.
Brokers failing to comply with these norms will be barred from onboarding new API clients, strengthening security and accountability in retail algorithmic trading.
Retail investors who develop their own algos will also fall under the regulatory ambit if their systems cross a defined order-per-second threshold. Such self-developed algos must be registered with exchanges through brokers, although their usage will be restricted to the investor and immediate family members.
Broker accountability and investor protection
According to the , brokers must obtain approval from the exchange before offering any algo trading facility and are required to tag all algo orders for audit purposes. Brokers will be solely responsible for handling investor grievances related to algo trading and the monitoring of APIs for prohibited activities.
Importantly, brokers can only partner with empanelled algo providers, and must conduct due diligence before onboarding them. Any revenue-sharing arrangements between brokers and algo providers must be transparently disclosed to clients, with safeguards in place to prevent conflicts of interest.
Empanelment of algo providers
SEBI has mandated empanelment of algo providers with stock exchanges. Exchanges will define eligibility criteria and oversee the onboarding process, thereby creating a formal ecosystem of vetted service providers.
Algo providers and brokers may share the subscription charges and brokerage collected from the client. However, prominent and complete disclosures of all the charges shall be made to the client. The broker shall also ensure that such arrangements do not result in any conflict of interest, Sebi said.
Enhanced role of exchanges and risk controls
Stock exchanges are required to establish standard operating procedures (SOPs) for algo testing, conduct continuous surveillance, and retain the ability to deploy “kill switches” to halt malfunctioning algorithms.
Exchanges will also define turnaround times for algo approvals, with provisions for faster clearance of simpler execution algos. Additionally, they must ensure brokers can distinguish between algo and non-algo orders and maintain robust risk management systems.
Balancing innovation with safeguards
SEBI’s framework categorizes algos into “white box” (transparent and replicable) and “black box” (non-transparent) models, introducing differentiated compliance requirements. This classification aims to strike a balance between encouraging innovation and protecting retail investors from opaque or high-risk strategies.
Market participants view the move as a significant step toward democratizing algo trading, while ensuring that adequate checks and balances are in place. By clearly defining the roles of brokers, exchanges, and algo providers, SEBI aims to create a safer and more transparent environment for retail investors venturing into automated trading.