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‘Junk companies trade with 20% circuit, shady companies are put into F&O’

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 Questions have been raised over stock exchanges and SEBI over how shady companies are allowed to trade at a 20 per cent freeze and in futures and options (F&O) category.

Sandip Sabharwal, investment advisor and equity analyst said in a tweet, “For the last 6 months #PrajIndustries has been put into Trade to Trade and a 5% freeze High quality company and management with strong performances.”

Contrasting this, Sabharwal has raised questions on how junk companies trade with a 20 per cent freeze and shady companies are put in F&O.

“On the other hand junk companies trade with a 20% freeze, not only that many shady Cos are put into F&O,” Sabharwal added.

The remarks by Sabharwal, former Head of Equity, SBI MF and CIO, JM Financial raise questions over the quality of some stocks being pushed in the elite categories of trading. This comes at a time when a record number of new investors have entered the stock markets for trading especially in the pandemic phase of the last two years. Some of the new investors are naturally more keen on the penny stocks counting on the premise that they come cheap.

According to Amir Ansari, penny stocks are stocks that trade at very low prices normally below 50 rupees. They have low market capitalisation and mostly are illiquid. Penny stocks are lesser-known to the larger investing public.

Investors remain away from them because the information regarding their fundamentals and businesses is either not reliable or not available.

Since penny stocks are illiquid, sometimes only a few orders can lead to hitting circuit limit on the exchange. These stocks mostly give higher returns when they are hitting upper circuits for a number of days. Generally, this period of hitting circuits is not accompanied with trading volumes, Ansari said.

Sometimes there is a strong fundamental story that moves the stock up. Other times it might just be a case of manipulation by stock operators. They artificially inflate the price and volumes to attract innocent retail investors. Once they have enough traders participating in the stocks they would offload their own holdings, Ansari said.

Penny stocks trade at such low rates for a reason because most of the traders buying penny stocks don’t even care about them and look to exit sooner or later once they have given decent returns. Penny stocks in India often don’t comply with exchange regulations. They are not even transparent in their reporting, Ansari said.

It is only when there is some news or some turnaround stories on penny stocks, that they move. The speculation leads to an increase in trading volumes and prices soar. But very few of them turn out to be true or genuinely strong on a fundamental basis. Any negative news causes the price to turn south, Ansari said.

Penny stocks trade at such low rates for a reason because most of the traders buying penny stocks don’t even care about them and look to exit sooner or later once they have given decent returns. Penny stocks in India often don’t comply with exchange regulations. They are not even transparent in their reporting.

It is only when there is some news or some turnaround stories on penny stocks, that they move. The speculation leads to an increase in trading volumes and prices soar. But very few of them turn out to be true or genuinely strong on a fundamental basis. Any negative news causes the price to turn south.

Other ways where traders can identify penny shares are based on their exchange categorisation. For instance, penny stocks in India, often trade in the Trade to Trade Segment (BSE T to T segment or NSE – BE Segment).

You can also identify penny stocks based on their BSE group which include XC, XD, XT, T, Z and ZP groups.

Business

ITR deadline, RBI MPC meet among key financial deadlines, events in August

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New Delhi, Aug 1: August brings a slew of financial deadlines and events that could affect taxpayers and banking customers, including an August 31 income tax return (ITR) deadline for businesses and professionals, the Reserve Bank of India’s Monetary Policy Committee (MPC) meeting and bank service charge changes.

Taxpayers who are required to file ITR‑3 or ITR‑4 and not subject to tax audit — including self‑employed professionals, freelancers and small business owners using presumptive taxation under Sections 44AD and 44ADA — must file income tax returns by August 31.

Late filing fee penalty could be up to Rs 5,000 under Section 234F and interest on unpaid tax under Section 234A, where applicable.

The Reserve Bank of India’s Monetary Policy Committee (MPC) meeting is scheduled to start from August 3, with its policy decision due on August 5.

RBI’s stance on interest rates and liquidity could influence home loan EMIs, lending rates and fixed‑deposit returns in the coming months.

The RBI is likely to keep policy rates unchanged as consumer price inflation is expected to remain above 5 per cent for the next two quarters and Q1 FY27 domestic product growth may exceed about 7 per cent, a recent report said.

An explicitly dovish message is less likely given oil volatility, rupee pressure and external flow caution.

Meanwhile, Indian Railways has launched a token-based system for Tatkal ticket booking at reservation counters from August 1 to streamline the booking process and reduce crowding at ticket counters.

Axis Bank will cut benefits on its premium Magnus for Burgundy card from August 28, raising the Dynamic Currency Conversion markup from 1.5 per cent to 2 per cent. Reward points on toll‑related transactions and gift‑card purchases will be discontinued.

Several banks are set to revise select service charges in August, like debit card annual maintenance charges, transaction fees, or other banking service charges.

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Indian Railways launches online excess luggage booking with ticket reservations

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New Delhi, July 31: Passengers travelling by train can now book and pay for excess luggage online while reserving their tickets, as Indian Railways on Friday rolled out a new digital facility aimed at making the travel process more convenient.

The service integrates excess luggage booking with the online ticket reservation system, eliminating the need for passengers to visit parcel offices separately before boarding.

Previously, travellers carrying baggage beyond the free allowance had to complete a separate booking process at railway parcel counters, often leading to additional paperwork and long queues.

The online excess luggage booking facility is available only to passengers holding confirmed tickets and is restricted to travel classes where carrying luggage beyond the free allowance is permitted upon payment of the prescribed charges.

Passengers travelling in AC First Class, AC 2-Tier, First Class, Sleeper Class and Second Class can avail of the service.

However, those travelling in AC 3-Tier and AC Chair Car will not be eligible, as the maximum permissible baggage limit in these classes is the same as the free luggage allowance.

Under the existing baggage rules, AC First Class passengers are entitled to carry up to 70 kg free of charge and can carry a maximum of 150 kg after paying excess luggage charges.

Passengers in AC 2-Tier and First Class are allowed 50 kg free, with a maximum permissible limit of 100 kg.

Sleeper Class passengers can carry 40 kg free and up to 80 kg in total, while Second Class passengers have a free allowance of 35 kg and a maximum limit of 70 kg.

In contrast, AC 3-Tier and AC Chair Car passengers can carry up to 40 kg, which also serves as the maximum permissible limit.

Indian Railways has clarified that passengers carrying baggage beyond the free allowance but within the prescribed maximum limits will be required to pay applicable excess luggage charges.

Apart from weight restrictions, the Railways also enforces size limits for luggage carried inside passenger coaches.

Trunks, suitcases and boxes measuring up to 100 cm × 60 cm × 25 cm are generally permitted inside compartments.

However, passengers travelling in AC 3-Tier and AC Chair Car coaches must adhere to a smaller size limit of 55 cm × 45 cm × 22.5 cm.

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IBM partners Sarvam to strengthen India’s sovereign AI ecosystem

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New Delhi, July 31: IBM and homegrown AI startup Sarvam have partnered to accelerate the development and adoption of sovereign artificial intelligence (AI) technologies in India, with a focus on government agencies, public sector organisations and regulated enterprises, according to a statement on Friday.

Under the partnership, the two companies will jointly demonstrate and pilot sovereign AI technologies for use cases such as citizen services, grievance redressal, document processing and administrative workflows.

The collaboration combines IBM Sovereign Core, the company’s sovereign-by-design AI software platform, with Sarvam’s India-first sovereign AI stack, which includes reasoning models and multilingual language and voice AI developed and trained in India.

The combined offering is designed to help organisations deploy AI while maintaining greater control over data, governance, security and compliance in line with India’s regulatory and operational requirements.

In addition, the initiative aims to accelerate sovereign AI adoption through innovation pilots, solution accelerators, technical advisory services and knowledge-sharing programmes.

The IBM GovTech AI Innovation Center in Lucknow will serve as a joint incubation and demonstration hub where government departments, public sector organisations and enterprises can evaluate practical sovereign AI applications and address technical, operational and governance requirements before scaling deployments.

“Sovereign AI is not simply about where AI runs. It is about giving organisations control over how AI is governed, deployed and operated,” said Sriram Raghavan, General Manager, IBM Software, India and Software Innovation Lab.

He said IBM Sovereign Core provides an enterprise-grade platform designed to help governments and regulated enterprises scale AI while addressing governance, security and compliance requirements.

Pratyush Kumar, Co-Founder of Sarvam, said sovereign AI must work within the systems governments and enterprises already rely on while supporting large-scale operations.

“Our stack puts models, voice and language technologies on top of it, so a citizen can access a benefit or resolve a grievance in their own language, on a phone call,” Kumar said.

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