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2025 has not been kind to brokerage firms…at least not so far.
The top four brokers, Groww, Zerodha, Angel One, and Upstox, have cumulatively lost 20 lakh active investors during the first half of the year.
The third-largest broker, Angel One, has lost 4.5 lakh active investors, and Upstox has lost a little more than 3 lakh active investors.
Investors attribute the drop to multiple restrictions imposed by markets regulator SEBI on Futures and Options (F&O) trading, along with waning interest among retail investors.
The decline in investor interest comes as a surprise, given that markets have been delivering positive returns over the past five months.
According to SEBI, around 90% of retail F&O traders incur losses.
"Increased awareness, sustained market corrections and increased volatility over the past six months have made consistent profits difficult, discouraging retail participation," says Rajesh Palviya of Axis Securities.
Tata Consultancy Services’ (TCS) revenue drops as the BSNL call ends in Q1.
The India business, which had been growing at a strong double-digit pace for several quarters, saw a 21.7% year-on-year (YoY) decline in constant currency (CC) terms.
This dragged overall revenue down by 3.3% YoY in CC terms to Rs 63,437 crore–missing Street estimates.
Despite the revenue slum, TCS posted a 6% YoY jump in net profit to Rs 12,760 crore. The profit boost was thanks to reduced expenses on equipment and software licensees as a large transformation project drew to a close.
TCS CEO and MD K. Krithivasan said there are delays in deal closures due to ongoing macroeconomic challenges but said he remains optimistic about stronger international business revenue in FY26 compared to FY25.
TCS management remains bullish on emerging service lines, including AI, cloud, cybersecurity, data, and modernization, which are generating strong opportunities.
Also read: TCS Q1 results: Headcount up 5,090 in second straight quarterly increase
India’s top fintechs, including Zerodha, Razorpay, Fi Money, and PayU, are laying the foundation for a new class of intelligent financial experiences powered by Model Context Protocol (MCP).
This behind-the-scenes tech acts as a secure bridge between AI tools like ChatGPT and real financial data, enabling users to interact with their money in plain language without compromising privacy.
MCP lets AI assistants check portfolios, initiate refunds, or generate payment links using simple prompts like “How much did I spend on food last month?” or “Send a Rs 500 link to Neha.”
Zerodha’s Kite app now allows users to run stock backtests or query their portfolio via AI agents.
MCP is essentially a secure wrapper over APIs, easy for devs to set up, but scalable versions can cost up to $200,000. Still, fintechs see long-term value in user stickiness, insights, and future product innovation.
With great power comes responsibility. Experts warn of data privacy risks and a lack of guardrails around AI-led financial decision-making.
“To have intelligent, personalised financial recommendations, you need two things: powerful AI and live, accurate data. That’s why fintechs are building MCPs,” said Tanuj Bhojwani, an independent technology expert.
When Artificial Intelligence (AI) markets better than you, influencers sound the alarm.
Inside the AI writer’s room: Grok, Perplexity, and DeepSeek are the top tools for influencers.
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