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Algorithmic Trading: SEBI’s Retail Algo Framework Explained

5 February 20251 min read
BANKING & FINANCEAlgorithmic Trading:SEBI’s Retail AlgoFrameworkExplained5 February 2025safalsetu.com

Why in the news

SEBI introduced a new regulatory framework aimed at safer and more transparent retail algorithmic trading without harming market integrity.

Key facts

  • Stockbrokers, exchanges and algo providers must agree on tighter risk management.
  • Brokers must make algo trading available through APIs.
  • The broker is the principal, accountable for reporting and following rules on all algo trades.
  • Algo providers, including fintechs and vendors, act as agents when using a broker’s API.
  • Every algo order gets a unique identifier from the exchange for tracking and audit.
  • Security upgrades: OAuth-based authentication and two-factor authentication.
TypeLogicRequirement
White boxTransparent, visible and replicableSafer for retail investors
Black boxHidden logicTougher testing; register as research analyst and maintain detailed research reports

Significance

  • Brings transparency, safety and accountability to a fast-growing retail segment.
  • Investors gain because brokers carry compliance and supervisory duties.

Concerns

  • Higher operating costs if compliance burden on brokers is heavy.
  • Possibly less innovation because black box rules mean strict registration and oversight.

Exam angle

  • Regulator: SEBI.
  • Terms: white box, black box, API, OAuth, two-factor authentication.
  • Party responsible for algo trades: the broker.

Test yourself

1. Under SEBI's algorithmic trading framework, who is the principal responsible for algo trades?

Brokers are the principal; providers act as agents.

2. Which algos hide their logic and must register as research analysts under SEBI's framework?

Black box algos use hidden logic and face stricter rules.

3. How are algorithmic orders identified for monitoring and audit under SEBI's new framework?

Exchanges assign unique identifiers to each algo order.