SEBI sets uniform 30-day delay rule for market data in education
Synopsis
SEBI has cut through a two-year regulatory tangle by fixing a single 30-day lag for market data used in education — a compromise that emerged partly from a high-profile SAT case involving trader-educator Avadhut Sathe and allegations of ₹546 crore in unregistered advisory services.
Key Takeaways
SEBI has introduced a uniform 30-day delay rule for market data used for educational purposes, effective 1 July 2026 .
The move resolves a conflict between a 2024 circular (one-day lag) and a 2025 circular (three-month lag) that had created a regulatory vacuum.
The issue gained prominence during Securities Appellate Tribunal (SAT) proceedings involving trader-educator Avadhut Sathe and his firm ASTA .
SEBI had impounded ₹546.16 crore and restrained Sathe from market access in a December 2024 interim order.
The National Institute of Securities Markets (NISM) has been exempted from the revised norms.
The Securities and Exchange Board of India (SEBI) on Friday, 9 May 2025, moved to resolve months of regulatory confusion by introducing a uniform 30-day lag on the sharing and use of market data for educational purposes. The revised framework, announced via a formal circular, will come into force from 1 July 2026.
The Regulatory Confusion It Resolves
The ambiguity stemmed from two conflicting SEBI circulars issued over the past two years. A May 2024 circular had barred market infrastructure institutions (MIIs) — including stock exchanges and intermediaries — from sharing price data for educational use with a delay of less than one day. A subsequent 2025 circular, however, prescribed a far stricter three-month lag for market data used in investor education and awareness programmes.
The gap between the two timelines created what market participants described as a
Point of View
But it arrives in the shadow of a ₹546 crore enforcement action — which raises an uncomfortable question: was the regulatory vacuum a genuine oversight, or did it enable a grey market in thinly disguised investment advice? The NISM exemption is notable; it signals that SEBI trusts its own educational arm but remains deeply sceptical of private operators. Going forward, the real test will be whether the 30-day threshold is tight enough to prevent real-time advisory services from rebranding themselves as education platforms.
NationPress
8 May 2026
Frequently Asked Questions
What is SEBI's new 30-day market data rule?
SEBI has mandated a uniform 30-day delay on the sharing and use of market data for educational purposes, effective 1 July 2026. The rule replaces two conflicting earlier circulars that prescribed different lag periods — one day and three months respectively.
Why did SEBI need to change its market data rules for education?
Two SEBI circulars issued in 2024 and 2025 prescribed different delay periods — one day and three months — creating regulatory ambiguity. The conflict came to a head during Securities Appellate Tribunal proceedings involving educator Avadhut Sathe, prompting SEBI to consult stakeholders and settle on a 30-day middle ground.
Who is Avadhut Sathe and why is his case relevant?
Avadhut Sathe is a trader and educator whose firm, Avadhut Sathe Trading Academy (ASTA), was restrained by SEBI in a December 2024 interim order. SEBI alleged that ASTA provided unregistered investment advisory and research analyst services under the cover of stock market education, and ordered the impounding of ₹546.16 crore.
Is any organisation exempt from the new 30-day rule?
Yes. The National Institute of Securities Markets (NISM), SEBI's own educational arm, has been exempted from the revised norms. All other market infrastructure institutions, intermediaries, and private educators must comply by 1 July 2026.
What did stakeholders say during SEBI's consultation process?
Stakeholders told SEBI that a one-day delay was too short and created room for misuse, while a three-month lag made data too stale to be useful for teaching purposes. The 30-day period was accepted as a workable compromise that balances relevance with safeguards against real-time misuse.
