Sebi cracks down on ‘finfluencers’ with new rules on stock education

The Securities and Exchange Board of India (Sebi) has delivered a major blow to financial influencers (finfluencers) by restricting their use of live stock market data in educational content. Under the new rule, announced through a circular on late Wednesday evening, stock market educators can only use stock prices with a three-month lag, effectively preventing them from offering real-time trading tips disguised as education. 

“A person engaged solely in education shall mean that such person is not engaged in any of the two prohibited activities. Such person should not be using the market price data of the preceding three months to speak/talk/display the name of any security including using any code name of the security in his/her talk/speech, video, ticker, screen share etc. indicating the future price, advice or recommendation related to security or securities,” the circular read. 

This move is expected to end the illegal advisory businesses that many finfluencers operate without Sebi registration. Sebi first restricted associations between registered and unregistered entities in its October 2024 circular, and the latest update on January 29 further tightens the rules. 

“These regulations have come into force with effect from August 29, 2024,” the market regulator said. 

Key points in Sebi’s latest circular state:

Stock market educators cannot use live stock prices – only data with a three-month lag.

Registered market entities cannot associate with finfluencers in any way that involves monetary or non-monetary compensation.

Investor education is allowed, but educators must not give investment advice or make performance claims without Sebi’s approval.

Educators cannot use stock names, codes, or price data from the past three months in any form that could imply investment advice.

Any entities found violating these rules risk penalties, suspension, or cancellation of their Sebi licence, the circular stated. 

“It is the responsibility of the persons regulated by Sebi to ensure that any person associated with them or their agent, directly or indirectly, does not engage in any of the above-mentioned two prohibited activities, directly or indirectly,” Sebi said. 

The rise of finfluencers on social media platforms has blurred the lines between financial education and investment advice, making it difficult to distinguish credible sources from misleading ones. Without access to live data, many finfluencers are likely to find it difficult to retain subscribers and students, as their business model relies heavily on real-time market speculation.

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India set to launch its AI model in next 10 months, says Ashwini Vaishnaw

Union Minister of Electronics and IT Ashwini Vaishnaw said the country’s large language model (LLM) is expected to be ready within the next 10 months. 

During a press conference on the India AI Mission on Thursday, Vaishnaw said, “We have created the framework, and it is being launched today. Our focus is on building AI models that maintain the Indian context and culture.” 

He said the project will be supported by the India AI Compute Facility, which has procured 18,693 GPUs to facilitate the creation of a LLM designed specifically for India, CNBC-TV18 reported. 

Vaishnaw emphasised India’s AI capabilities by comparing the country’s infrastructure to global benchmarks. “DeepSeek AI was trained on 2,000 GPUs, ChatGPT was trained on 25,000 GPUs, and we now have 15,000 high-end GPUs available. India now has a robust compute facility that will support our AI ambitions,” CNBC-TV18 quoted him as saying.

A shared compute facility with 18,000 GPUs has been launched, designed to be accessible to startups, researchers, and developers. Around 10,000 GPUs are already operational, he said.

“The technical partners started working and investing well before the finalisation. This facility will be available for everyone to use,” Vaishnaw added. 

GPU providers for this initiative include Jio Platforms, Tata Communications, Yotta, and NextGen Data Centre. For comparison, DeepSeek was trained using 2,500 GPUs.

India’s own AI model

A key goal of the India AI Mission is to develop a domestically-produced AI model tailored to the country’s linguistic and cultural diversity. The government has called for proposals from AI startups, with six major developers now working on models expected to be ready in 4–6 months, with a maximum timeline of 8–10 months.

“With algorithmic efficiency, we can create these models in a much shorter time frame. We will have a world-class foundational AI model in just a few months,” the minister said.

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Dr Lal Path Labs Q3FY25 results: Net profit jumps 19% to Rs 96.7 crore

India’s Dr Lal Path Labs reported a 19 per cent jump in its third-quarter profit on Thursday, led by continued demand for its bundle test offerings, sending its shares 3 per cent higher.

The company’s consolidated net profit rose to Rs 96.7 crore ($11.2 million) in the three months to Dec. 31, from Rs 81.3 crore a year earlier, but fell short of analysts’ estimate of Rs 97.69 crore, according to data compiled by LSEG.

An increasing awareness around health and wellness, coupled with the expansion of diagnostics firms such as Dr Lal Path into smaller cities, has boosted demand for medical tests.

The company, which operates about 300 testing labs, said the number of samples tested grew 10 per cent during the quarter. 

Dr Lal Path has also benefited from strong demand for its bundle test offerings, which combine tests for multiple diseases such as hyperthyroidism and diabetes, analysts said.

The company’s revenue from operations met analysts’ estimates and climbed about 11 per cent to Rs 597 crore.

It declared a dividend of six rupees per share for the fiscal year 2025.

Rival Metropolis Healthcare is set to report its third-quarter results next week.

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