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  • What is Operating Profit Margin? 

    What is Operating Profit Margin? 

    If you have decided to invest in stocks and are looking to identify a company to invest in, then you need to compare companies based on various parameters. One of such parameters is the operating profit margin. 

    In this blog, we will explain the concept of operating profit margin, along with the formula and an example.

    Meaning of Operating Profit Margin

    Operating profit margin is a financial metric that reflects the percentage of a company’s revenue that is left after paying all the operating expenses related to production, including wages, raw materials, etc. before paying interest or taxes. 

    Features of Operating Profit Margin

    The key features of operating profit margin are as follows:

    1. Business Profitability: Operating profit margin reflects the efficiency of a company in generating profit from its core business operations.
    2. Comparative Analysis: The operating profit margin is generally used to compare the profit of the company with its competitors.
    3. Operating Expenses: Only items related to operating expenses are considered when calculating the operating profit.

    Formula of Operating Profit Margin

    The formula to calculate the operating profit margin is as follows:

    Operating Profit Margin = (Operating Profit/Revenue)*100

    Where;

    Operating Profit = Revenue – COGS – Operating Expenses

    Revenue = Total income earned by the company before any type of cost or expenses is deducted.

    Example of Operating Profit Margin

    Let’s understand the example of operating profit margin with an example.

    Company XYZ has made a sale of 

    • Revenue = ₹10,00,000 
    • Cost of Goods Sold = ₹2,00,000
    • Operating Expenses = ₹3,00,000 

    Now we will have to calculate the operating profit.
    Operating Profit = Revenue – COGS – Operating Expenses

    Operating Profit = ₹10,00,000 – ₹2,00,000 – ₹3,00,000 = ₹5,00,000

    The formula to calculate the operating profit margin is 

    Operating Profit Margin = Operating Profit/Revenue*100

    where,

    Operating Profit = ₹5,00,000

    Revenue = ₹10,00,000

    Operating Profit Margin = 5,00,000/10,00,000*100 = 50%
    Hence, the operating profit margin of XYZ Limited is 50%.

    Importance of Operating Profit Margin

    The importance of operating profit margin is mentioned below:

    1. Evaluation: Operating profit margin allows us to evaluate the efficiency of a company based on its operations. A higher margin shows that the company has lower input costs and higher sales.
    2. Profitability: A higher operating margin will increase the net profitability of the company.
    3. Competitive Advantage: When comparing companies with their peers, operating margins play an important role, as companies with lower profit margins are considered a financial trouble.
    4. Decision Making: Based on the operating margins, the company can decide the prices of their products and make decisions related to cost-cutting.

    Factors Affecting Operating Profit Margin

    The factors mentioned below will affect the operating profit margin:

    1. Raw Material: The input cost or the cost of raw material used by the company in producing goods can affect the operating profit margin. The higher the cost, the lower the profit margin.
    2. Labour Cost: If the labour cost is high, the operating profit will be less.
    3. Availability of Resources: If the resources are not available readily, then it can lead to an increase in production costs.
    4. Distribution Channel: If the channel through which the raw material is supplied or goods get delivered gets disrupted, then the cost of production will increase.

    Conclusion

    On a concluding note, operating profit margin plays an important role in evaluating the company’s efficiency in generating profits from its core business operations. Improving or high operating profit margin posted by the company over time indicates efficient management, effective cost control, and a competitive edge over other companies. However, investing based only on the operating profit margin is not a wise decision. Therefore, it is advisable to consult your investment advisor before making any investment decision.

    S.NO.Check Out These Interesting Posts You Might Enjoy!
    1Margin Pledge: Meaning, Risks, And Benefits
    2Margin Call: – Definition and Formula
    3Top Tips for Successful Margin Trading in India
    4What is MTF (Margin Trading Facility)?
    5Lowest MTF Interest Rate Brokers in India

    Frequently Asked Questions (FAQs)

    1. What is the formula to calculate operating profit margin?

      The formula to calculate operating profit margin is Operating Profit/Revenue*100.

    2. What is Operating Profit Margin?

      The operating profit margin is a financial metric used by investors to evaluate the operating profitability of a company, or the percentage of revenue left after covering the operational expenses of the company.

    3. What percentage is considered a good operating profit margin?

      The ideal operating profit margin depends on the industry in which the company is operating. A 15-20% of operating profit margins is considered good for manufacturing companies and it can be more than 25% in the service-oriented industry.

    4. Can the operating profit margin be negative?

      Yes, if the company’s operating expenses are higher than the company’s revenue, then operating profit margin can be negative, indicating that the company is in financial trouble.

    5. Can I invest in a company only because it has a higher profit margin?

      Yes, you can invest in a company with a higher profit margin. However, it is advisable to consider more parameters before making any investment decision as investment in stocks solely based on operating profit margins can result in losses.

  • Aditya Infotech IPO Day 1: GMP & Subscription Status

    Aditya Infotech IPO Day 1: GMP & Subscription Status

    Aditya Infotech IPO size is ₹1,300 crore, comprising a fresh issue of ₹500 crore and an offer for sale of ₹800 crore. The issue is open from July 29, 2025 and will close on July 31, 2025. The price band is fixed at ₹640-₹675, and listing is expected on August 5 on BSE and NSE. Minimum investment for retail investors is ₹14,850.

    Aditya Infotech IPO Day 1 Subscription Status

    The response from retail investors was the strongest, with subscription reaching 6.93 times. At the same time, a very slow trend was seen from the QIB (Qualified Institutional Buyers) category and a mixed response was seen from NII (High Net Worth Investors).

    Investor CategorySubscription (x)
    Qualified Institutional Buyers (QIB)0.01x
    Non-Institutional Investors (NII)3.33x
    bNII (above ₹10 lakh)2.80x
    sNII (less than ₹10 lakh)4.40x
    Retail Individual Investors (RII)6.93x
    Employee Quota1.57x
    Total Subscriptions2.17x

    Total Applications: 4,92,936

    Total Bid Amount: ₹1,558.29 crore 

    Objective of the Aditya Infotech IPO

    The funds raised from the Aditya Infotech IPO will be used by the company to repay some of its existing debt and meet general corporate needs. The table below gives the complete details of the company’s fund use:

    Use of IPO ProceedsAmount (₹ Cr)
    Prepayment and/or repayment of borrowings taken by the Company375.00
    General corporate purposes Not mentioned

    Aditya Infotech IPO GMP – Day 1 Update

    The grey market premium (GMP) of Aditya Infotech IPO is running at ₹273 today i.e. 29th July 2025. Adding to the upper level of the price band of ₹675, its estimated listing price can be ₹948, which is expected to give a potential premium of around 40.44% per share.

    DateGMP (₹)Est. Listing Price (₹)Gain (%)
    29 July 2025 (DAY-1)₹273₹94840.44%.

    GMP has been consistently above ₹200 in the last 6 trading sessions, due to which there is a positive sentiment in the market. So far, GMP has been in the range of ₹210 to ₹273, which indicates the possibility of a strong listing.

    Disclaimer: The above GMP (Grey Market Premium) is just unofficial market information, which is not officially confirmed. These figures are shared for informational purposes only and investment decisions based on these should be based on the investor’s own research and discretion. We do not conduct, recommend or support any kind of transaction in the grey market.

    Aditya Infotech IPO – Key Details

    ParticularsDetails
    IPO Opening DateJuly 29, 2025
    IPO Closing DateJuly 31, 2025
    Issue Price Band₹640 to ₹675 per share
    Total Issue Size1,92,59,258 shares(aggregating up to ₹1,300.00 Cr)
    Listing PlatformBSE, NSE
    RegistrarMUFG Intime India Private Limited
    Aditya Infotech IPO DRHPClick Here
    Aditya Infotech IPO RHPClick Here

    Important Dates for Aditya Infotech IPO Allotment

    EventDate
    Tentative AllotmentAugust 1, 2025
    Refunds InitiationAugust 4, 2025
    Credit of Shares to DematAug 4, 2025
    Listing Date Aug 5, 2025 

    Aditya Infotech Overview

    Aditya Infotech Limited (AIL) is a leading Indian company that manufactures video security and surveillance products and solutions under the brand ‘CP Plus’. The company’s portfolio is equipped with products such as smart home IoT cameras, HD analog systems, network cameras, body-worn and thermal cameras, long-range IR cameras and AI-based solutions (such as number plate recognition, people counting, heat mapping).In 2025, the company launched more than 2986 SKUs and sold its products in 550+ cities. AIL’s network is strong with 41 branch offices and 13 RMA centers. In addition, 1,000+ distributors and more than 2,100 system integrators increase its presence in Tier I to Tier III cities. The company has 10 warehouses spread across the country, located in cities like Delhi, Noida, Gurugram, Mumbai, Ahmedabad, Indore, Kolkata, Guwahati, Chennai and Bengaluru. Its main manufacturing unit is located in Kadapa, Andhra Pradesh.

    The strength of AIL is clearly reflected in its brand value, nationwide network and advanced production capabilities.

    Easy Steps to Apply for Aditya Infotech IPO via Pocketful

    Step 1 :  Install the Pocketful App from Play Store or App Store

    Step 2 : Sign up and complete your KYC requirements

    Step 3 : Go to the IPO section on the home page

    Step 4 : Look for “Aditya Infotech IPO” in the list

    Step 5 : Tap on Apply and enter your bid details

    Frequently Asked Questions (FAQs)

    1. What is the opening and closing date of Aditya Infotech IPO?

      Aditya Infotech IPO is open on 29th July 2025 and will close on 31st July 2025.

    2. What is the price band of Aditya Infotech IPO?

      Its price band is fixed from ₹640 to ₹675 per share.

    3. What is the GMP (Grey Market Premium) of Aditya Infotech IPO today?

      The GMP on 29th July 2025 is ₹273, which leads to a possible listing price of ₹948.

    4. What is the breakup of fresh issue and OFS in Aditya Infotech IPO?

      This includes a fresh issue of ₹500 crore and an offer for sale (OFS) of ₹800 crore.

    5. What is the expected listing date of Aditya Infotech?

      This IPO is expected to be listed on BSE and NSE on August 5, 2025.

  • Laxmi India Finance IPO Day 1: GMP & Subscription Status

    Laxmi India Finance IPO Day 1: GMP & Subscription Status

    Laxmi India Finance’s ₹254.26 crore book building IPO has opened for subscription and will close on July 31, 2025. The issue comprises a fresh issue of ₹165.17 crore and an OFS of ₹89.09 crore. The price band is set at ₹150 – ₹158 and the lot size is 94 shares. Listing is expected on August 5 on NSE and BSE.

    Laxmi India Finance IPO Day 1 Subscription Status

    Laxmi India Finance IPO was subscribed a total of 0.37 times on the first day. The response from retail investors was better than other categories, where the subscription reached 0.61 times. At the same time, a slow response was seen in the QIB (Qualified Institutions) and NII (High Net Worth Investors) categories.

    Investor CategorySubscription (x)
    Qualified Institutional Buyers (QIB)0.10x
    Non-Institutional Investors (NII)0.19x
    bNII (above ₹10 lakh)0.10x
    sNII (less than ₹10 lakh)0.38x
    Retail Individual Investors (RII)0.61x
    Employee Quota0.41x
    Total Subscriptions0.37x

    Total Applications: 32,050

    Total Bid Amount: ₹67.00 Crore (Approx)

    Objective of the Laxmi India Finance IPO

    The company will use the money raised from this issue to expand its loan business. Its main focus is to provide finance to MSME and other retail segments.

    Use of IPO ProceedsAmount (₹ Cr)
    Augmentation of capital base for future lending (onward lending)143.00

    Laxmi India Finance IPO GMP – Day 1 Update

    The grey market premium (GMP) of Laxmi India Finance IPO is running at ₹7 today i.e. 29th July 2025. Adding the upper level of the price band at ₹ 158, the estimated listing price can be ₹165, i.e. a potential premium of about 4.33%.

    DateGMP (₹)Est. Listing Price (₹)Gain (%)
    29 July 2025 (DAY-1)₹7₹1654.43%.

    Based on the last 7 sessions, GMP has been declining steadily from ₹18 to ₹7.

    Disclaimer: The above GMP (Grey Market Premium) is just unofficial market information. These figures are shared for informational purposes only and investment decisions based on these should be based on the investor’s own research and discretion. We do not conduct, recommend or support any kind of transaction in the grey market.

    Laxmi India Finance IPO – Key Details

    ParticularsDetails
    IPO Opening DateJuly 29, 2025
    IPO Closing DateJuly 31, 2025
    Issue Price Band₹150 to ₹158 per share
    Total Issue Size₹254.26 Cr (1.61 Cr shares)
    Listing PlatformNSE, BSE
    RegistrarMUFG Intime India Private Limited
    Laxmi India Finance IPO DRHPClick Here
    Laxmi India Finance IPO RHPClick Here

    Important Dates for Laxmi India Finance IPO Allotment

    EventDate
    Tentative AllotmentAugust 1, 2025
    Refunds InitiationAugust 4, 2025
    Credit of Shares to DematAugust 4, 2025 
    Listing Date Aug 5, 2025 

    Laxmi India Finance Overview

    Laxmi India Finance Limited was started in 1996. It is a non-banking financial company (NBFC) that provides MSME, vehicle and construction loans, especially targeting small businesses, first-time borrowers and rural areas. Under MSME finance, the company offers secured loans ranging from ₹50,000 to ₹25 lakh, mostly against residential or commercial property. Vehicle loans include finance for two-wheelers, tractors and commercial vehicles. Construction loans are also available on residential/commercial property, with a maximum tenure of 84 months.

    As of March 2025, the company’s assets under management stood at ₹1,277 crore, of which 76% is MSME loans. The customer base has crossed 35,000, and about 37% of these are first-time loan takers.It has 158 branches in Rajasthan, Gujarat, MP and Chhattisgarh. The company, which accesses funds from 47 banks and NBFCs, is growing steadily on the strength of strong underwriting, local reach and experienced management.

    Easy Steps to Apply for Laxmi India Finance IPO via Pocketful

    Step 1 :  Install the Pocketful App from Play Store or App Store

    Step 2 : Sign up and complete your KYC requirements

    Step 3 : Go to the IPO section on the home page

    Step 4 : Look for “Laxmi India Finance IPO” in the list

    Step 5 : Tap on Apply and enter your bid details

    Frequently Asked Questions (FAQs)

    1. What is the IPO date of Laxmi India Finance?

      This IPO will open on July 29, 2025 and close on July 31, 2025.

    2. What is the price band for Laxmi India Finance IPO?

      The price band has been fixed from ₹150 to ₹158 per share.

    3. What is the lot size and minimum investment?

      There are 94 shares in one lot. The minimum investment for retail investment is around ₹14,852.

    4. What is today’s GMP of Laxmi India Finance IPO?

      Today, on July 28, 2025, the GMP is ₹7.

    5. On which exchanges will the IPO list?

      The listing will take place on both NSE and BSE.

  • What is Stock Margin?

    What is Stock Margin?

    One way to take bigger positions and potentially increase your profits in the stock market with limited capital is by using stock margin, also known as Margin Trading Facility (MTF). Many brokers offer this feature, allowing investors to increase their buying power. However, despite its popularity, a lot of traders use margin without fully understanding how it works. In this blog, we’ll break down what stock margin really is, how it works, and the risks you should be aware of before using it.

    What is Stock Margin?

    Stock margin, popularly known as Margin Trading Facility (MTF), is a service offered by brokers that allows you to borrow funds to increase your investment capacity. In simple terms, you can buy shares worth more than the actual funds available in your account.

    This is generally called leverage trading or margin trading. It is especially useful for those who want to trade in large volumes in the short term, but it also comes with risk as losses can also increase.

    Example: You have ₹1 lakh and want to purchase shares worth ₹5 lakhs, then the broker can provide the remaining ₹4 lakhs. This means that now you can buy shares worth up to ₹5 lakh. 

    How MTF Works : In the Margin Trading Facility (MTF), the investor can trade on the value of the entire transaction by investing a partial amount in his trading account. The remaining amount is lent by the broker, which has to be repaid with interest.

    How the trade is done:

    • You deposit some percentage of the total amount (Initial Margin).
    • The broker lends the remaining amount.
    • You buy shares and can sell them whenever you want.
    • The loan has to be repaid within the stipulated time, otherwise the broker can sell your shares.

    As per SEBI rules, MTF is available only on selected stocks and the minimum margin and interest rates in it are decided by the broker.

    If you want to do margin trading at a low cost, Pocketful is a great option. It offers margin trading at one of the lowest interest rates in India, starting at just 5.99% p.a., and you also get up to 5x intraday leverage. Pocketful is especially suited for investors who want to gain more exposure in a smart way, all on a fast, simple and reliable platform.

    Check Out – Stocks Available for MTF

    Types of Margins in Stock Trading

    There are many types of margins in margin trading, and each has a different role. If you want to trade seriously in the stock market, it is very important to understand them correctly. Below are the four major types of margins that are prevalent in the Indian market and are regulated by SEBI:

    • Initial Margin : This is the minimum amount that you have to keep in your account to open a position. As per SEBI rules, it is decided on the basis of VaR (Value at Risk) and ELM (Extreme Loss Margin). Its purpose is to ensure that the trader has enough capital to bear the initial risk.
    • Maintenance Margin : This is the minimum balance that you have to maintain in your account, so that you can hold an open position. If your funds go below this level, the broker may send a margin call and automatically close your position if required.
    • SPAN Margin (F&O only) : The SPAN (Standard Portfolio Analysis of Risk) margin is applicable only for the Futures & Options (F&O) segment. This margin is calculated by NSE through a simulation tool and is based on the risk of the entire portfolio, not just a single trade.
    • Exposure Margin : This is an additional safety margin mandated by SEBI and exchanges keeping in mind traders and market stability. It is charged over and above the SPAN and is generally applicable to all F&O trades. It is intended to provide extra protection during times of high volatility.

    Read Also: What is MTF (Margin Trading Facility)?

    Stock Margin vs Cash Trading

    FeaturesStock Margin TradingCash Trading
    Investment Amount Required Lower as broker provides additional fundingShares can only be purchased according to the amount of money you have in your trading account
    RiskHigh risk Low risk
    ReturnsHigher as profits increase quickly, but with increased riskStable returns
    InterestThe broker charges interest on the borrowed amount No interest has to be paid
    Delivery optionSome brokers allow delivery, but interest appliesUpon making full payment, shares are transferred to your demat account
    Margin Call RiskIf the price goes down the broker may ask for extra fundsThere are no margin calls
    Holding PeriodDepends on the policy of the broker.Can be held for the long term without any extra charges
    Better for whom?For active, short-term or intraday tradersFor long term investors and beginners

    Pros and Cons of Using Stock Margin

    Margin trading is a tool that can be beneficial if used wisely, but a careless trade can also cause losses. Let’s know some of its major benefits and potential disadvantages, in simple language:

    Pros of Stock Margin

    • Higher profit potential with less capital : With the help of margin, you can buy shares of large value even with less capital. This is especially beneficial for those who have limited funds but want more exposure.
    • Opportunity to increase returns : If your trade goes in the right direction, then due to margin you can get more profit than usual.
    • Best for short term traders : Margin is a useful tool for those who trade intraday or for a few days because with this they can take many positions quickly.
    • Smart use of capital : Due to margin, you can use your limited capital in different trades, which gives you a chance to take more profit.

    Cons of Stock Margin

    • Amplified Losses : While margin increases profits, it can also cause losses quickly. Even a little wrong move can prove to be costly.
    • Margin call risk : If the value of the stock falls, the broker may ask you to increase the money (margin call). If you do not respond on time, your shares will be sold.
    • Interest and charges : Interest has to be paid on the money borrowed. If the trade remains open for a long time, this interest can eat into your earnings.
    • Mental pressure : Many times trading on credit increases fear and anxiety, which can lead to wrong decisions.

    Read Also: Lowest MTF Interest Rate Brokers in India | Top 10 MTF Trading Apps

    Key Factors to Consider Before Using Stock Margin

    Some of the key factors to consider before using stock margin are given below:

    • Your Risk Tolerance : There is an opportunity to earn money in margin trading, but the loss can also be equally big. If you cannot bear the market fall or sudden loss, then margin is not for you.
    • Trading Experience Level : If you are a new trader, then taking margin without complete information can be dangerous. Using margin in the beginning without understanding the risk can cause huge losses.
    • Brokerage Policies : The funding policy of every broker is different. Some brokers offer MTF (Margin Trading Facility) while some give margin only on MIS orders. SEBI sets minimum margin norms, but brokers may impose higher margins or lower leverage
    • Interest Rates & Charges : The margin amount attracts interest. Some brokers like Pocketful offer margin at a minimum interest of just 5.99%, while others can go as high as 12-18%. These charges can reduce your profits.
    • Stock Volatility : If you are trading in very volatile stocks, they are more likely to get margin calls. Less stable stocks have higher margin risk.

    Margin Trading Facility (MTF) is a regulated service in the Indian stock market that is run under strict rules of SEBI. Its purpose is to ensure that investors are protected and brokers do not take unnecessary risks. SEBI has issued clear guidelines for all aspects related to MTF – such as which stocks are eligible for MTF, how much margin has to be paid, and to what extent the broker can provide funding. It is mandatory for all registered brokers to follow these rules.

    Margin Calculation : Margin is determined according to two types of stocks:

    • F&O stocks have relatively less margin due to low risk.
    • On the other hand, non-F&O or low-liquidity stocks require more margin.

    The broker uses variable margins such as VaR (Value at Risk) and ELM (Extreme Loss Margin) while calculating the margin.

    Use our Margin Trading Facility Calculator

    Collateral and Pledge Process : When you buy shares through MTF, those shares are pledged and pledged with the broker. Now this process has become automatic in almost all brokers, meaning the investor does not need to give any pledge approval manually.

    Margin Call and Risk Control : If the value of your portfolio falls, the broker alerts you about margin shortfall. If the value goes below the set limit, the broker can sell your shares — but before that you are given an opportunity to deposit additional margin.

    Conclusion

    If you want to take much larger trading positions with less capital, then Margin Trading Facility (MTF) can be a good option. But as beneficial as this facility seems, it also needs to be used wisely. Every broker’s terms and interest rates related to this facility are different, so it is important to compare different brokers before making any decision. With proper risk management, you can get good returns using MTF. It is advised to consult a financial advisor before using MTF.

    S.NO.Check Out These Interesting Posts You Might Enjoy!
    1Margin Pledge: Meaning, Risks, And Benefits
    2Margin Call: – Definition and Formula
    3Top Tips for Successful Margin Trading in India
    4Smart Beta Funds: Characteristics, Factors, Benefits, and Limitations
    5Different Types of Trading in the Stock Market

    Frequently Asked Questions (FAQs)

    1. What is MTF in the stock market?

      MTF means Margin Trading Facility, in which you can buy shares by taking a loan from your broker.

    2. Is MTF safe for beginners?

      MTF can be a little risky for beginners as a well defined trading strategy and proper risk management is key to earn profits.

    3. How much interest is charged in MTF?

      It depends on the broker MTF policies. Pocketful MTF interest rates start from 5.99%, which is lowest among all brokers.

    4. Can I hold MTF stocks for the long term?

      Stocks bought using MTF can be held for a significant amount of time but vary from broker to broker. Moreover, interest charges increase if you hold for more days.

    5. What happens if I don’t deposit additional margin?

      The broker can sell your shares and also charge a penalty.

  • How AI is Transforming Stock Market Predictions in 2025

    How AI is Transforming Stock Market Predictions in 2025

    In recent years, Artificial Intelligence (AI) has brought a revolution in stock market forecasting. Today, investment and trading firms no longer rely solely on charts or news. Instead, they use AI, which can analyze massive amounts of data and provide highly accurate market predictions. Indian exchanges like NSE and BSE have also introduced rules and systems to monitor the use of AI in financial markets. In this blog, we’ll explore how AI is improving stock market forecasting and its impact on traders, investors, and regulators.

    AI Tools: Sharper, Real-Time Predictions

    Today’s AI tools don’t just analyze historical data, but also process real-time market movements, news headlines, social media sentiment, and sectoral trends. Machine learning algorithms learn from all these data points and predict what the stock’s next move might be.

    Whenever there is a major event or sudden change in the market, AI processes that information immediately and updates its prediction – that too in seconds. Especially with the help of sentiment analysis, it is able to understand whether people’s opinion about a company or sector is positive or negative. AI-based tools such as algo trading platforms, quant models, and predictive analytics are now helping investors and professional traders make real-time decisions – that too without human bias.

    Traders Are Getting Faster and Smarter with AI

    The secret of success in the stock market is making the right decisions, that too at the right time. Every second is important for traders. Earlier these decisions were taken based on experience and gut feeling, but now the picture is changing. With the help of AI (Artificial Intelligence), trading has now become more data-driven and faster.

    How AI is changing Trading

    • Real-time data processing : Now traders do not need to understand live market data themselves. AI systems read historical price changes, volume and market news every second and immediately give actionable signals. This makes decision making easier and faster.
    • Identifying Market Sentiment : AI algorithms decode sentiment from social media, news articles, and forums to determine public sentiment on a stock or sector.
    • Volatility Signals : The biggest challenge for short-term traders is predicting volatility correctly. AI-based models predict potential volatility and highlight high-reward zones.
    • Smart Entry/Exit Suggestions : Broker APIs can be used to place stop loss, target levels and time-based exits.
    • Advantages in Scalping and Arbitrage : Ultra-fast AI bots detect price gaps on different exchanges and identify arbitrage opportunities in microseconds. These tools are also helpful in scalping due to its fast paced nature.
    • Personalised Risk Alerts : AI can be used to understand the trader’s past trades and behaviour and sends alerts on which trades may be risky helping to avoid losses.

    Read Also: Stock Market Prediction Using Machine Learning

    How AI makes Long-term Planning Easy for Investors

    AI can be useful in helping investors in the following ways:

    • Smart Portfolio Structuring : Investors no longer have to rely on guesswork as AI suggests how much to invest in equity, debt or other assets – so that the portfolio is diversified and returns are stable.
    • Guidance in SIP and goal-based investing : AI helps optimize SIP amount and duration by keeping in mind your financial goals and market conditions.
    • Timely warnings : If there are signs of a decline in the earning quality or balance sheet of a company, AI alerts can help avoid losses.
    • Timely rebalancing advice : When the market conditions change, AI automatically tells what changes should be made in the portfolio – such as the need to sell some stocks or increase allocation in other sectors.
    • Maintaining discipline in the Volatile Markets : When panic or FOMO spreads in the market, AI-based systems help investors stick to the investment plan.

    Read Also: Best AI-Based Trading Strategies Explained

    How can AI be Used to Detect Suspicious Activities?

    Indian stock exchanges NSE and BSE are now using advanced AI tools instead of traditional methods to monitor trading. This change is a big step towards making the market safer, faster and transparent.

    • Real-time data analysis: Now AI analyzes thousands of transactions every second so that any suspicious activity can be caught immediately.
    • Automatic alert system: If unusual volume or price movement is seen in a trade, AI can immediately alert the regulators.
    • Insider Trading Detection: AI algorithms can be used to analyze historical and live data simultaneously to catch patterns that point to insider trading.
    • Sentiment Analysis: With the help of signals coming from social media and news, exchanges now also understand the sentiment of traders and can detect sudden volatility in advance.
    • Index movements : AI is now helping traders better understand and predict intraday movements of indices like Nifty and Bank Nifty, making it easier to make fast and data-driven decisions.
    • Helps reduce risk : The use of AI in new systems helps prevent trading activities that can harm the market – such as sudden large orders or transactions with incorrect data.

    Read Also: Can AI Predict the Stock Market?

    Recently, SEBI banned a foreign firm named Jane Street because it made unfair profits of ₹4,843 crore by algorithmic trading on expiry-day. Such cases have forced the exchanges to further incorporate AI in the surveillance system. Now both BSE and NSE are trying to catch such manipulations in a timely manner through real-time AI tools, so that the market remains transparent, safe and a level playing field for all investors.

    Some Limitations of AI 

    AI tools and algorithmic models do make trading smarter, but they also come with some limitations. It is important for traders to know these risks to avoid losses.

    • Overfitting of the model : AI models are sometimes so trained on historical data that they are unable to handle future uncertainties. That is, they blindly follow old patterns, while missing out on new market events.
    • Impact of data quality : The accuracy of AI depends entirely on the data it is given. If the data is incorrect, outdated or biased, the model’s prediction may also be wrong.
    • Difficulty identifying market anomalies : AI often understands average scenarios better, but it is difficult to accurately predict sudden geopolitical events, policy shifts or panic-based market movements.
    • Lack of Explanation : Sometimes the decisions of the AI ​​model can be hard for a trader to understand or justify them. This can lead to misunderstanding or overreliance.
    • Importance of human intuition : AI has data, but the trader has experience and instinct. Many times emotional or psychological market reactions are better understood by an experienced trader.

    Read Also: How AI and Machine Learning Are Transforming Trading Strategies?

    Conclusion

    AI and machine learning have changed the direction of trading. Now traders are not limited to just looking at charts, but are able to make smarter and faster decisions with the help of data analysis, automated decisions and real-time updates. But as beneficial as these technologies are, they need to be used wisely. AI is not magic, but a tool when used with the right strategy, experience and thinking, can really prove to be beneficial.

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    Frequently Asked Questions (FAQs)

    1. Can AI predict the stock market with certainty?

      In recent years, AI has been quite successful in making reliable stock market predictions. However, it cannot be guaranteed.

    2. Is AI trading good for small traders?

      AI trading usually requires technical expertise and considerable resources due to which it may not be feasible for small traders.

    3. Do AI tools work for long-term investing?

      Yes, but backtesting and understanding the logic behind investment decisions is necessary.

    4. What is the biggest risk of using AI for trading?

      AI can make wrong decisions based on incorrect data or sudden market news.

    5. Can AI help in reducing emotional trading?

      Absolutely, because AI decisions are based on logic, not emotions.

  • What is NASDAQ: How it Works & How to Invest in Companies listed on it?

    What is NASDAQ: How it Works & How to Invest in Companies listed on it?

    NASDAQ is one of the world’s largest stock exchanges in the world, where investors from all over the world can invest in companies focused on innovation and growth. Today, many people want to know about NASDAQ and want to know how to invest in NASDAQ listed companies. Investing in NASDAQ listed companies has now become easy even from India through ETFs, mutual funds and digital platforms. 

    This article explains in detail about NASDAQ, its working and the easiest ways to invest in companies listed on NASDAQ.

    What is NASDAQ?

    NASDAQ is an electronic stock exchange where the world’s largest and fastest-growing tech companies are listed. Its full name is National Association of Securities Dealers Automated Quotations. It is a platform where market participants can trade in the stock market completely digitally. 

    The biggest feature of NASDAQ is its fully automated and screen-based trading system, which provides facilities like real-time quotes, transparency and fast execution. Today, more than 3,300 companies are listed on NASDAQ, and its key indices, the NASDAQ Composite and NASDAQ-100 have become major benchmarks for global investors to track US markets.

    History of NASDAQ

    NASDAQ was started on 8 February 1971 in America. At that time it was the world’s first fully computerized stock exchange, which completely changed the old way of trading. In traditional exchanges where trading took place on the physical floor, NASDAQ started exchanging orders electronically on the screen for the first time.

    Initially NASDAQ was only a quotation system – that is, it only showed share prices. But gradually services like transactions and order execution were also added to it, and it became a full-fledged stock exchange. After 1990, NASDAQ started growing rapidly and it became the biggest center of the tech boom. In 1986, companies like Microsoft were listed on NASDAQ. Companies like Tesla, Amazon, Google (Alphabet), Meta and Nvidia have since joined NASDAQ, making it the world’s most tech-savvy and innovation-driven exchange.

    Read Also: What is AI Trading?

    How NASDAQ Works : Inside the Tech-Driven Exchange

    Let’s take a closer look at the key features and inner workings of NASDAQ.

    1. Fully Electronic Trading System : NASDAQ is a stock exchange that is completely electronic from the beginning. Every trade here is done through a high-speed computer system that is, no floor trader, no physical interaction. Due to this system, trade is fast, efficient and less error-prone. NASDAQ’s technology is so advanced that it can handle millions of orders every second.
    2. Advanced Order Matching Engine : Whenever an investor places a buy or sell order, NASDAQ’s automatic system immediately matches it with the best available price. The special thing about this matching engine is that it completes the trade without any delay, which maintains liquidity in the market.
    3. Important Role of Market Makers : Many market makers are active in NASDAQ, who continuously give buy and sell prices for stocks. Their job is to always maintain liquidity in the market so that the investor can trade at any time. Due to their quotes, there is not much fluctuation in the price and the market remains stable.
    4. Real-Time Transparency and Data Access : Every transaction is visible on NASDAQ in real-time. Price changes, volume data and news updates are immediately available to investors, allowing them to make the right decisions at the right time. This transparency makes NASDAQ reliable for global traders.
    5. Market Safety with AI Surveillance : NASDAQ is not only fast, but also safe. Its systems have AI-based surveillance tools that monitor every trading activity. If an unusual or suspicious trade pattern is identified, the system immediately generates alerts, ensuring investor safety.

    How Do Companies Get Listed on NASDAQ?

    Companies must complete the process and fulfill other requirements given below to get listed on NASDAQ.

    Step 1: Meet Financial & Governance Requirements

    Companies must meet a number of financial benchmarks to be listed on the NASDAQ. For example, a company must have $11 million in aggregate pre-tax earnings over the past three years or meet strict cash flow, revenue, asset standards, including a market capitalization of $550–850 million. Also, the share price must be at least $4 ($3 is acceptable in some cases), and there must be a minimum of 1.25 million publicly traded shares and 2,200 shareholders.

    Step 2: Prepare & Submit Listing Application

    The official process is completed through NASDAQ’s Listing Center, where companies must fill out an online application, including audited financial statements, corporate governance documents, SEC filings, and other required details. Once everything is submitted, the NASDAQ team conducts an initial review and sends comment letters for feedback or clarification of documents; this process typically takes 2- 3 weeks.

    Step 3: Symbol Reservation & Application Review

    Once the application is accepted, companies must reserve their trading symbol. The NASDAQ team assigns companies an analyst who monitors the application process and recommends necessary corrections.

    Step 4: Get Approved & Go Public 

    Finally, after meeting all compliance requirements and submitting fees (entry fee $50–295k and annual listing fee $55–150k or more), NASDAQ gives listing approval. After this, the company’s stock starts trading publicly on NASDAQ.

    Ongoing: Compliance & Maintenance

    NASDAQ expects listed companies to comply with the regulatory and governance standards. Failure to comply with the specified rules and regulations can cause the company to get delisted. 

    How to Invest in Companies listed on NASDAQ from India?

    You can invest in stocks listed on NASDAQ from India by following the process mentioned below:

    1. Investing through International Mutual Funds : Indian investors can use international mutual funds to get exposure to NASDAQ-listed companies. These funds directly track benchmarks like U.S. equity indices like NASDAQ-100. You can invest via SIP or lumpsum amount.
    2. Through U.S. Brokerage Platforms : Several global investing platforms like Vested, INDmoney, etc. allow you to invest directly in the U.S. stocks. Through these applications, you can even buy shares of NASDAQ-listed companies like Apple, Tesla, Amazon in fractions.
    3. Through Global Access through Indian Brokers : Some Indian brokers like ICICI Direct, HDFC Securities, and Kotak Securities provide global investing services. With their help, you can invest in NASDAQ stocks from your existing Demat account though there are some documentation and compliance steps.
    4. Through ETFs (Exchange Traded Funds) : ETFs tracking the NASDAQ-100, such as Motilal Oswal NASDAQ 100 ETF listed in India, are a smart way to in NASDAQ listed companies. You can buy them like regular shares.

    Read Also: What is AI Washing? Definition, Tips, Evolutions & Impact

    Why Should You Consider Investing in NASDAQ listed companies?

    You can consider investing in NASDAQ listed companies due to the following reasons:

    1. Innovation-focused Index : The NASDAQ offers investing in companies working on future technologies and solutions. Most of the companies listed here focus on research, new products and cutting-edge technology, making it a unique choice for long-term investors.
    2. Global exposure without going abroad : Investing in NASDAQ companies gives you direct exposure to US markets. Investing in these companies gives you ownership of dollar-denominated assets, which also acts as a currency hedge in case the value of the rupee falls.
    3. Diversification : Investing in a diversified index offered by NASDAQ not only gives you exposure to multiple sectors such as global pharma, fintech, semiconductors, and cloud services but also provides geographical diversification by allowing you to participate in the growth of leading U.S. and international companies, thereby reducing overall portfolio risk.
    4. Keeping pace with a rapidly changing world : The NASDAQ prioritizes companies that are leading change, not just reacting to it. If you want your investments to not just remain stable, but to actively grow, it may be worth focusing on agile and future-ready companies listed on NASDAQ.

    Read Also: Best Trading Apps in India

    Conclusion

    Investing in NASDAQ-listed companies means being a part of the growth story of the top companies in the world. But before that, it is important that you understand the basics of the stock market- like the movement of the US market, the fluctuations of the dollar and the long-term growth perspective of the US economy. It is recommended you start with a small capital and invest in NASDAQ listed companies after thorough analysis. It is advised to consult a financial advisor before investing.

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    Frequently Asked Questions (FAQs)

    1. What is NASDAQ-100?

      NASDAQ-100 features 100 largest non-financial companies listed on the NASDAQ stock exchange.

    2. Can Indian investors invest in NASDAQ listed companies?

      Yes, one can invest through mutual funds, ETFs and through brokers that allow investing in US markets.

    3. What are the benefits of investing in NASDAQ companies?

      One gets exposure to high-growth companies and the portfolio becomes more diversified.

    4. Is foreign currency fluctuations a concern while investing in NASDAQ listed companies?

      Yes, the price fluctuations in the USD/INR exchange rate can directly impact returns.

    5. Is investing in NASDAQ companies suitable for long-term investors?

      Yes, it is ideal for long-term investors looking to invest in companies focused on innovation and growth. However, it is advised to consult a financial advisor before investing.

  • Top 10 Option Trading Books in India [2025]

    Top 10 Option Trading Books in India [2025]

    Options trading can be highly rewarding, but it requires a solid understanding of the concepts to trade options profitably. Videos or tips alone help to some extent, but option trading books are the best when it comes to in-depth learning. These books explain everything from option trading basics, strategy and risk management. 

    If you are looking for the best books on options trading in India, then this article is for you. Here, you’ll find a curated list of the top and most up-to-date books for 2025 to help you master the art of options trading.

    Top 10 Best Option Trading Books

    NameAuthorMain FocusBest For
    Options as a Strategic InvestmentLawrence G. McMillan60+ options strategies, hedging techniques, in-depth analysisIntermediate to advanced traders
    Option Volatility and PricingSheldon NatenbergVolatility, Greeks, pricing models, premium behaviorAdvanced-level traders
    The Bible of Options StrategiesGuy CohenStrategy guide in easy language with charts and visualsBeginners and intermediate-level traders
    Trading Options GreeksDan PassarelliDeep understanding of Delta, Gamma, Theta, Vega (Greeks)Traders learning adjustments and risk
    Options Trading: The Hidden RealityCharles CottleRisk management and complex position setupsSerious and professional option traders
    The Options PlaybookBrian OverbyCategorized strategies with real examples and simplified termsNew traders and part-time investors
    Options Made EasyGuy CohenBasics, risk control, and simple option strategiesComplete beginners in options trading
    Mastering the TradeJohn F. CarterReal-world setups combining options and futuresTechnical and multi-instrument traders
    Trading in the ZoneMark DouglasTrading psychology, discipline, and mindsetFor traders focusing on developing trading psychology
    NISM X Taxmann’s Equity DerivativesNISMSEBI regulations, framework of options market in IndiaIndian traders and NISM exam aspirants

    Read Also: Best Options Trading Chart Patterns

    Brief Overview of the 10 Best Options Trading Books 

    A summary of the 10 best options trading books has been given below:

    1. Options as a Strategic Investment

    This book is considered a classic in the world of options trading. It explains more than 60 options strategies in detail, such as covered calls, spreads, straddles and combinations. McMillan has presented the trading logics, risk-reward ratio and practical application of each strategy in a very simple language. If you are at an intermediate or advanced level in the options market, then this book can help you master things like multi-leg strategies, volatility shifts and hedge planning. Its concepts are fully applicable for traders trading options in India as well, just a little adjustment is required to the context. This is a must-read for a serious options trader.

    Options as a Strategic Investment

    2. Option Volatility and Pricing

    This book is considered to be a definitive guide to understanding volatility and pricing in the options market. Natenberg has explained implied volatility, historical volatility and option Greeks (Delta, Gamma, Vega, Theta) in simple language in this book. This is especially important for traders who trade near expiry or scalp weekly options. In this, theoretical models have been explained by linking them to real market situations, which makes the concepts even more practical. This book is very helpful to understand the rapidly changing premiums and declining values over time in the Indian options market. This book provides a strong foundation for advanced learning.

    Option Volatility and Pricing

    3. The Bible of Options Strategies

    If you want to understand option strategies in a visual and step-by-step way, then this book is perfect for you. It explains more than 60 option strategies with charts, graphs and tables, so that even beginners can learn quickly. Guy Cohen has given different strategies for bullish, bearish, neutral and volatile market conditions. Indian traders get practical clarity in this as to when and how to apply which strategy. This book is very useful for those who want to understand the theory as well as real-time application.

    The Bible of Options Strategies

    4. Trading Options Greeks

    This book focuses completely on option Greeks (Delta, Gamma, Theta, Vega). Dan Passarelli has explained how these Greeks affect the risk and reward of an option position. Especially for Indian traders, who struggle with Theta decay near expiry, this book can become a practical toolkit for them. It also includes real-world trade adjustments and risk management strategies. For traders who want to move beyond directional betting and learn data-driven trading. It is an excellent guide to understanding option adjustments and portfolio hedging.

    Trading Options Greeks

    5. Options Trading: The Hidden Reality

    This book opens up the layers of options trading that a beginner usually misses. Charles Cottle has explained in depth complex concepts like option structure, synthetic positions and dynamic hedging. This book is not theoretical but based on a real-time mindset and execution. Although its language and depth is a bit advanced, it is a must-read for serious traders who are looking for consistent profits. It helps in looking at the mechanics of options trading from a scientific perspective, especially when adjusting or hedging positions.

    The Hidden Reality

    6. The Options Playbook

    This book presents options trading as a “playbook”, where each strategy is explained based on the mood of the market you are in bullish, bearish or neutral. Along with real-life examples, entry, exit and break-even points are also explained very precisely. Brian Overby has written it especially for beginners and part-time traders who want to take smart decisions by understanding the strategy. Indian traders will get the clarity in it which is often lacking in YouTube content.

    The Options Playbook

    7. Options Made Easy

    As the name suggests, this book is written to make options trading easy. Guy Cohen explains the basic terminologies, strategies, and risk control of options in a very simple language. This book is ideal for those who are just entering the options market and want to get clear information without complex calculations. The visual charts and case examples included in it are very helpful for beginner Indian traders to understand. This book is highly recommended for a solid foundation.

    Options Made Easy

    8. Mastering the Trade

    This book focuses on options as well as futures and technical analysis. John Carter also discusses his real trades, setups, and psychological preparation. Timing and entry-exit planning are very important in options trading, and Carter teaches this very well. If you want to learn options as a complete system, not just a strategy – then this book can prove to be very beneficial for you. Indian index traders will find it helpful to understand the multi-timeframe approach.

    Mastering the Trade

    9. Trading in the Zone

    This book is considered to be the best to understand the psychological strength of options or any trading form. Mark Douglas has explained in it that successful trading depends not only on strategy but also on mindset. Fear, doubt, overconfidence and how all these affect our decisions, has been explained in a very accurate and relatable manner. Indian option traders who repeatedly face small losses or missed entries, this book can teach self-analysis and emotional control. It is a master guide of mental discipline.

    Trading in the Zone

    10. NISM X Taxmann’s Equity Derivatives

    This book is important to understand the structure, rules, and regulations of the Indian derivatives market. In this book published by NISM, both futures and options have been explained under the framework of SEBI. If you want to consider option trading as a profession and not just a hobby, then this book becomes a must. Through this, you can get a complete understanding of things like contracts, lot sizes, expiry rules, and risk disclosures in the Indian market. It is also a recommended book for those preparing for NISM certification.

    Read Also: Option Chain Analysis: A Detail Guide for Beginners

    How to Choose the Right Option Trading Book?

    Every trader has different needs and learning stages so choosing the right option trading book is just as important as developing a strong trading strategy. Here are 5 important things to consider before you read any book:

    • If you are new to trading, choose a book that explains basic concepts like call, put, strike price and expiry in simple language. Experienced traders will find books focused on advanced strategies, volatility analysis and risk management more useful.
    • Some books are based on options strategies, some on psychology or decision-making, and some are purely on theory. You should choose content according to your needs — whether it is income generation or mindset building.
    • Most books are written keeping in mind the US market, which has American-style options. India uses European-style options that settle on expiry. So choose books whose concepts are globally relevant.
    • A great option trading book not only teaches concepts but also teaches practical application through real-world examples, charts and trade setups.
    • Some books are written in technical terms and complex language. So choose a book that you can easily understand.

    Conclusion

    Choosing the right book to learn option trading can create a strong foundation. Whether you are a beginner or an experienced trader, a good book not only teaches strategies but also explains important aspects like discipline, mindset and risk control. All the best option trading books mentioned above provide practical knowledge as well as real market understanding. Every trader should choose a book according to his learning level, so that knowledge can be converted into action. Right information, decision taken at the right time this is the hallmark of a successful options trader.

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    Frequently Asked Questions (FAQs)

    1. Which is the best book for option trading beginners?

      Options Made Easy is a great book for beginners as it explains basic concepts in simple language.

    2. Are there any Indian authors who have written good options trading books?

      “How to Make Money Trading Derivatives” by Ashwani Gujral and “Mastering Options Trading in the Indian Stock Market” by Nagaraj Balasubramaniam offers comprehensive, India-focused strategies on charting, risk management, psychology, hedging and advanced options techniques.

    3. Do these books cover Indian stock market examples?

      Some books do, but most of the concepts are globally applicable to the Indian market as well.

    4. Can I learn option strategies just by reading books?

      Books provide a foundation, but practice and market experience are also important.

    5. Are these option trading books useful for intraday traders?

      Yes, many books provide short-term strategies and risk management tips that are useful in intraday trading.

  • Top 10 Best Traders in India – Learn from the Legends

    Top 10 Best Traders in India – Learn from the Legends

    The stock market is a place of both remarkable success stories and cautionary tales. While some traders have earned massive profits, others have faced significant losses. The difference lies in their strategies, skills, and understanding of the market. 

    But who are the best traders in India whom you should look up to? Well, if you are a new trader, looking for some inspiration, you have landed at the right place. Find the list of the top 10 traders in India here and know all the details about them you need.

    Top 10 Traders in India

    Who is the best trader in India? Well, if you are also wondering this,then it’s important to understand that the best trader isn’t just someone who earns the most. It’s someone who trades consistently, manages risk wisely, and adjusts his strategy with market trends. 

    The title of the best trader in India could belong to anyone who has mastered these principles. However, most of the names mentioned below have been traders in the past and now shifted their focus to investing and other business ventures. So, here is the list of the top traders in India:

    NameNetWorth (in ₹ Crores)
    Radhakishan Damani1,82,725
    Rakesh Jhunjhunwala62,799
    Porinju Veliyath247.8
    Raamdeo Agrawal15,939
    Dolly Khanna389
    Ashish Kacholia2,700
    Vijay Kedia1,224
    Nemish Shah3,149
    Mukul Agrawal7,742
    Nikhil Kamath26,024
    (Data as of July 2025)

    Read Also: 10 Top Investors In India And Their Portfolios

    So, now that you know the list, let us explore the details of these traders here.

    1. Radhakishan Damani

    Radhakishan Damani, famously known as the “Retail King” of India was once regarded as the No. 1 trader in India. He is the founder and chairman of DMart. 

    After completing his education, he started trading. It was his skills in trading the financial markets during the 1990s that made people start to recognise him. Using his trading skills and market knowledge, he earned massive profits when the markets fell after the Harshad Mehta scam.

    He is known for his visionary and disciplined business approach. This is one of the reasons that helped him to make DMart the biggest retail chain in India. Today, it has 300+ stores. 

    2. Rakesh Jhunjhunwala

    Undoubtedly, he is one of the best traders in India and is often called the “Big Bull of India.” It is his skills and knowledge which has led people to compare him with Warren Buffett.  

    Around 1985, he started investing in stocks. He started his journey with as little as ₹5,000. He was also one of the traders that benefitted from creating short positions during the Harshad Mehta scam. Soon after, he became an investor and built a massive investment portfolio over the decades. He invests in fundamentally strong companies with good management. 

    This long-term holding strategy offered him great returns. Besides investing, he co-founded Akasa Air and served on several company boards. He had a sharp market insight and was a legendary figure in Indian stock markets.

    3. Porinju Veliyath

    Porinju Veliyath built his career from humble beginnings in Kerala, starting as a floor trader before founding Equity Intelligence in 2009. He specializes in contrarian bets, identifying undervalued small-cap companies overlooked by the market and holding them until their true worth is realized by market participants. Notable early picks include Balrampur Chini and HEG, which delivered multibagger returns. His bold, research-driven style often at odds with prevailing trends has earned both criticism and acclaim, cementing his reputation as one of India’s most fearless and successful traders.

    4. Raamdeo Agrawal

    He is an Indian businessman and co-founder of Motilal Oswal Group. To complete his CA studies, he moved to Mumbai. Post completing, he started his career as a sub-broker in 1987.

    He is the one who coined the QGLP rule, i.e., Quality, Growth, Longevity, and Price. He is known for his long-term commitment to quality stocks. Most of his holdings are multi-decade, which has allowed him to earn above benchmarks. 

    His idea of investment is based on deep research and long-term planning. He is one of the top 10 traders in India. He has helped to build a strong image of a thoughtful and consistent investor in the market.

    5. Dolly Khanna

    Dolly Khanna prefers anonymity, yet her stock selections speak volumes. With a focus on emerging small- and mid-caps, she has unearthed gems such as Rain Industries, Nocil and Tanla Platforms. Her contrarian entry points, typically before a stock hits mainstream radar, have generated compounded returns far above benchmarks. Despite minimal media presence, her disciplined, fundamentally driven approach and ability to spot rapid-growth businesses have made her one of India’s most respected and successful traders.

     6. Ashish Kacholia

    With a unique strategy, Ashish Kacholia is one of the best traders in India today. He invested in the mid- and small-cap companies and focused on finding companies with growth potential in the future. He usually searches for companies that are not generally well–known.  

    He can be considered both a trader and an investor, but in recent years he is more inclined towards long-term investments. It is his research skills and ideas that many people follow his strategies when it comes to investing. He is known for picking stocks with consistent success, which is quite unique.

    Before investing, he does a detailed analysis of the company. This offers him a detailed view which is good for a longer run.

    7. Vijay Kedia

    In the list of successful traders and investors in India, Vijay Kedia is a prominent name. He is known for his unique SMILE strategy that has allowed him to generate huge returns. SMILE stands for Small in size, Medium in experience, Large in aspiration, and Extra-large in market potential.

    This is how he started his investing journey. He focuses on evaluating small and mid-cap companies with growth potential. Recently, his focus shifted towards long-term investing. With his inspiring journey and simple approach, he is now a role model for many traders.

    8. Nemish Shah

    Nemish Shah is a respected Indian investor and trader. He is known as the co-founder of ENAM Holdings. It is one of the well-known equity research firms in India. The firm helps with investment banking and portfolio management.

    He focuses on a research-driven investment style. The idea is to invest in companies with a strong business plan and future. Nemish focuses on every market movement quite precisely before making a decision. He is also an avid reader and observer of everyday market movements. 

    9. Mukul Agrawal

    One of the best traders in India, he is known as the founder and chairman of Param Capital Group. He started his journey in the late 1990s. He worked in Mumbai where he gained the skills. Eventually, he started trading and became a prominent name in the industry.

    He follows an aggressive investment strategy and focuses on small and mid-cap stocks. He is one of the very few traders who have spotted various multibagger opportunities. He believes in taking calculated risks, which makes him one of the very few successful traders in India. 

    10. Nikhil Kamath

    Nikhil Kamath’s trading journey began at 17, working in a Bangalore call centre while quietly investing his modest salary in stocks. By 2006, he and his brother Nithin had obtained sub-broker licenses and founded Kamath & Associates, all while trading on the side and honing his skills in risk management, i.e., cutting losses quickly and sizing positions prudently. In 2010, he co-founded Zerodha and revolutionized markets and subsequently became one of the youngest billionaires in India.

    Read Also: 10 Best Stock Market Traders in the World

    Conclusion

    Trading is not an easy task as it requires deep knowledge, analysis, and patience. So, while there are many good traders in India, only a few can be categorized as the best traders in India. These traders have constantly upskilled themselves, adjusted to market trends and continuously analysed the markets for a better understanding.

    So, whether you are a beginner or an expert trader, you need to focus on adjusting your strategies according to the recent market conditions. Working on your skills can help you earn significant profits. And for the right start to the trading journey, signup on Pocketful today.

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    Frequently Asked Questions (FAQs)

    1. Who is the No. 1 trader in India currently?

      It’s difficult to name a single No. 1 trader in India, as many of the well-known traders discussed above were active traders at some point in their careers but may have since shifted their focus toward investing.

    2. Are all top traders from finance backgrounds?

      No, many traders started trading based on their willingness to learn. You can also learn from their experience and gain knowledge over time to become a successful trader. 

    3. What can beginners learn from these top traders?

      Beginners can learn the importance of discipline, risk management, and continuous learning from these top traders, using their journeys as inspiration to develop their own trading approach.

    4. What makes these traders successful?

      These traders succeed because they combine deep market analysis with disciplined risk management, making informed decisions rather than relying on speculation or emotion.

    5. Do all these traders still actively trade?

      Only a few of these traders still actively trade, while most have gradually shifted their focus toward long-term investing.

  • Risks of Artificial Intelligence Trading

    Risks of Artificial Intelligence Trading

    AI is no longer just a buzzword but a technology that is used widely today. Its real-world applications are wide-ranging, and this is one of the reasons why staying cautious of risks of using AI is important. Especially when you are using AI for trading, you must be extra cautious, as one mistake can lead to significant financial losses.

    But what are the exact risks of using AI for trading and how can you overcome them? Well, if you are a trader who is looking for an answer to the same, then read this guide as it has all the details you need. Find not just the risks but simple solutions that can help you avoid them.

    Understanding Artificial Intelligence Trading

    Artificial Intelligence trading, or AI trading, is the technique of using computer programs to make trading decisions. These programs analyze large amounts of data that can help in understanding past market trends and help predict future market movements better. These computer programs can identify patterns and give buy and sell signals automatically. 

    AI trading works by analysing past prices, news updates, and other financial data. It then predicts possible price movements and places trades automatically. This process is much faster than human trading and can handle many trades at once.

    However, AI trading is not risk-free as it works on the data that you provide. Any mistake in the same can lead to wrong trading decisions. At the same time, if there are changes in the market conditions due to some unexpected events, it might be hard for the system to adapt its trading strategy quickly. So, though it is helpful, it is important that you know the risks of using AI in trading as well as the solutions to avoid those risks. 

    Read Also: How to Use AI for Smarter Investing in India

    Typical Risks of Artificial Intelligence Trading

    AI trading offers speed and advanced analysis. This can save time and allows the traders to get better insights, which is key to completing profitable trades. But there are risks as well. It uses the historical data, which, if unreliable, might lead to financial losses. But there is more to it. 

    Knowing these risks is important for any trader looking to identify positive trades. So, here are the top risks that you must be aware of:

    Risk 1: Over-Reliance on Algorithms

    AI trading systems can make quick decisions. This is mainly because it is based on a pre-defined algorithm. These algorithmic models are trained using years of historical data to account for every market scenario. However, one major risk emerges when traders depend completely on these algorithms without checking or understanding the trades being placed. 

    It works on the set of rules and processes. Now, if there is sudden market news, a policy change, or an unexpected global event, this algorithm may not react appropriately, leading to heavy losses. This risk becomes bigger if traders believe AI can replace their own market knowledge and instincts.

    Ways to Avoid This Risk

    • Monitor Regularly: Ensure that you keep a watchful eye on your AI trading system, especially during periods of market volatility.
    • Set Clear Limits: To avoid the potential losses, ensure that you set stop-loss limits as well.
    • Combine Human Insight: Use AI for analysis only and the final decision should be based upon your judgment only. 
    • Review Performance: Always check the performance of your AI trading system at regular intervals. 

    Risk 2: Wrong Data or Poor Data Quality

    AI trading systems rely completely on data. The data that you offer is used by AI for analysis and interpretation. If you use wrong historical data, then the system will generate results that can be incorrect. 

    For example, omitting an S&P 500 index rebalancing event will skew backtests and live trade signals. Now, if AI assumes no such event is there, then the chances of wrong analysis and prediction are higher. 

    Additionally, data quality issues can arise due to technical glitches or low-quality data sources used for algorithm training.

    Ways to Avoid This Risk

    • Use Verified Data Sources: Gather the data from reliable sources like company websites, news, or other sources. No data should be taken from unverified sources. 
    • Regular Data Points: Check and validate all the data points that you use. Make changes as and when needed.
    • System Testing: Before using it for actual trades, ensure that you train and test your AI trading model using multiple datasets to ensure the robust performance. 
    • Update Datasets: Continuously update and validate your datasets, ensuring they reflect current market conditions, to keep your AI trading model accurate and adaptive.

    Risk 3: Market Volatility

    AI trading models work well when the market follows expected patterns. But this will not always be the case. There is a chance that during volatility, the trend and pattern may change. This will make it difficult for the AI to work. At times, these models can fail. 

    AI predictions are based on historical data and algorithms that may not factor in unexpected future events. This can lead to rapid losses if the AI continues to place trades based on outdated or irrelevant patterns during such times.

    Ways to Avoid This Risk

    • Set Volatility Alerts: Set up the alerts that can guide you when to stop trading due to volatility.
    • Diversify Strategies: Never just rely on AI trading, but also use your market knowledge to develop other strategies to get better results. 
    • Limit Trade Size: Reduce trade volumes in highly volatile markets to minimise potential losses.
    • Regular Model Updates: Update AI models frequently to factor in recent market behaviours and adapt to changing patterns effectively.

    Risk 4: Technical Failures

    AI trading systems use cutting-edge technology and depend on the latest hardware, fast network, and so on. Now, if there is any flaw or failure in any one of these, the entire system will fail to work. This can disrupt trading activities. 

    This may lead to missed trades or even wrong order placements. Now, any of these cases can lead to potential losses, which can impact your trading negatively. Such risks are higher when systems lack proper backup and monitoring protocols.

    Ways to Avoid This Risk

    • Use latest Technology and Hardware: Use good-quality and high-performance hardware equipment to run the latest technology.
    • Maintenance and Backups: Follow a proper maintenance schedule and have a backup for the worst.
    • Emergency Protocols: Set clear steps for quick manual intervention if the system stops working during active trades.

    Risk 5: Overfitting of Models

    Overfitting occurs when an AI trading model learns historical data too precisely, mistaking random noise for meaningful patterns. As a result, even minor deviations in real market conditions can cause the model to fail, leading to poor performance in live trading. This leads to poor trading decisions and financial losses. 

    Ways to Avoid This Risk

    • Use Cross-Validation: Test AI models on different datasets to see how they perform.
    • Simplify Models: Make the model adaptable, which will allow you to adapt to changing market conditions better.
    • Regular Performance Reviews: Review and update your AI models periodically to keep them updated as per recent market trends.
    • Combine with Human Analysis: Use AI as a supportive tool only. Always use human insights to get better results. 

    Tips to Use AI Trading Safely

    AI trading can be a powerful tool if used wisely. So, if you are new to this, here are some tips for you:

    • Know Your AI System: Understand how your AI system works and check the data that it uses. 
    • Start with Low Capital: Start with a small capital when testing your AI trading strategy. Once you achieve consistent and reliable results, gradually increase your investment.
    • Use Stop-Loss Orders: Profits and losses are part of trading. But it is always recommended to keep a stop-loss to limit your losses, even when you use AI.
    • Keep Learning: Stay updated with market trends and AI advancements. Adjust your trading system according to recent updates for better results.
    • Monitor Regularly: Never leave your AI trading system unattended for too long. It is best that you check its performance on a regular basis.
    • Diversify Strategies: Do not depend only on AI trading systems for all of your trading activities. Combine it with manual trading and other investment strategies for balanced results.

    Read Also: What is AI Washing? Definition, Tips, Evolutions & Impact

    Conclusion

    AI trading can make your trading faster and your decisions smarter. But it is important that you do not over-rely on the same. While AI can help, you need to use your experience and insights too. This will limit the potential for losses and help manage profitability. 

    Always consider AI as your supportive tool and should not be considered a replacement for human judgment. Combine both for the best trading results. To strengthen your understanding of trading basics and understand such concepts clearly, visit the Pocketful blog section.

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    Frequently Asked Questions (FAQs)

    1. Can AI trading replace human traders completely?

      No, AI trading cannot fully replace human traders as per the current performance of the AI trading systems. While it helps with the better and quicker analysis of the data, there are still some situations in which humans might make better decisions based on experience and market insights. 

    2. How does AI handle sudden market news or crashes?

      AI trading systems often struggle with the impact of sudden market news or crashes as they rely on historical data and set pre–defined algorithms. They may not react fast enough to unexpected events, so monitoring and manual intervention remain important during such times.

    3. Do I need coding skills to use AI trading platforms?

      The available AI platforms do not require any coding skills. But if you need something customised, then you might need some coding skills.

    4. How often should AI trading models be updated?

      AI trading models should be updated regularly. This will allow you to include the latest data points, help you get better results.

    5. Is AI trading legal in India?

      Yes, AI trading is legal in India, but it must follow SEBI regulations. Traders should ensure their AI systems do not engage in manipulative practices and that all trades comply with market rules to avoid penalties.

  • Benefits of AI in the Stock Market

    Benefits of AI in the Stock Market

    AI has been widely used in almost all sectors. Be it academics or business, the use of AI is increasing rapidly. While AI was expected to impact multiple sectors, it is important to note that the use of AI is also increasing rapidly in the stock market.

    From data-driven predictions to sentiment analysis, the applications of AI in the stock market are many. So, let us explore the same in detail in this blog and see how AI can help investors and traders in the long run. 

    What is AI in the Stock Market? 

    Artificial intelligence (AI) in the stock market means using the latest technologies in the field of artificial intelligence to analyse stock market data and make data driven investment or trading decisions. The aim is to reduce losses due to human errors in investment and trading processes. 

    By using AI, you can study huge amounts of information like stock prices, financial reports, and news much faster. Since AI works with the help of Machine Learning (ML), it also learns from past data. This way, it is able to analyse the past price movements and gives you insights into future trends. Many AI tools also use Natural Language Processing (NLP), which analyzes the current news and market sentiments and can give market insights. 

    Overall, AI does data analysis and gives predictions to support traders and investors. Additionally, using AI can save time, help reduce risks, and even detect frauds early. This can reduce the chances of losses and can help in increasing overall profitability as well. 

    Read Also: Can AI Predict the Stock Market?

    Role of AI in the Stock Market

    AI plays a very important role in the stock market as it helps traders with decision-making and acts as a reliable assistant that can guide traders in volatile market conditions. It can simplify complex tasks and avoid mishaps. Some of the key roles that AI plays in the stock market are as follows:

    • Work as an analyst to track, gather, and work on large amounts of data.
    • It helps predict potential price movements based on past data and make investment decisions.
    • Assists in trade execution and sets automatic trading alerts that can save time.
    • Real-time portfolio adjustments and tracking are possible.
    • Removes all sorts of emotional biases to ensure trades are 100% logical.
    • Helps identify market events that can impact your portfolio negatively.
    • Analyzes news articles and social media posts to understand market sentiments.

    Read Also: What is AI Trading?

    Benefits of AI in the Stock Market

    AI is helping traders to make quicker and better trading decisions. It is allowing them to avoid the errors that are usually involved in manual analysis. The key benefits that are offered by AI in the stock market are as follows:

    1. Faster Analysis

    AI can process and analyse huge amounts of market data within seconds. For example, it can study years of stock prices, financial statements, and global news quickly. This saves you hours of manual research and helps find useful insights faster.

    2. Better Predictions

    AI uses past price data to predict future price movements, by studying the stocks based on their past trends and comparing them with their competitors. Though it is not always accurate, these predictions can help you understand the company’s position better.

    3. Automated Trade Execution

    AI can place buy or sell orders automatically. All this can be done with the help of some preset conditions you can define. This will reduce the need for human involvement in all trades and avoid missed opportunities due to delays, and help traders capture every opportunity even if they are not watching the market at that moment.

    4. Removes Emotional Bias

    Trading decisions are influenced by emotions such as fear and greed. This can lead to wrong decisions, which can cause huge losses. But with AI, you can avoid this altogether as AI works on logic and data only. 

    5. Improved Risk Management

    AI can help in tracking your portfolio on a regular basis. It can highlight negative stocks or trends that can impact your portfolio. Doing so helps you make changes in your portfolio when needed. This can help delete loss-making stocks and ensure profitable ones are added to it. 

    6. Personalised Recommendations

    Every trader has a trading style of their own. While some prefer daily trades, others go for a hold strategy. Likewise, some traders might prefer upcoming companies while others might go for known ones only. AI can study your preferences and work based on that. This will help you with better trades. 

    7. Real-Time Fraud Detection

    AI monitors trades in real-time. This helps to detect any unusual trades or activities. This can help avoid fraud and market manipulation. It can also send alerts to brokers and traders for the same, and can safeguard your interests.

    8. Understanding Market Sentiments

    AI can study the news and articles as well. This helps track stock movements better. This sentiment analysis can help traders understand the market. This can help you stay ahead of the rest.

    9. Saves Time and Effort

    AI can save time and effort greatly. It works on its own once trained and ensures consistency. So, there is no need for repeated tasks at the trader’s end, yet the returns are good.

    10. Efficiency and Accuracy

    With data analysis and real-time performance, the AI offers better outcomes. Trades are done with efficiency and accuracy. This reduces the chances of mistakes, which is quite important.

    Read Also: How to Use AI for Smarter Investing in India

    Challenges of Using AI in the Stock Market

    AI in trading is great. But like any other thing, it comes with its own challenges. These are the ones that you must be aware of. So, here are a few challenges to know:

    1. Dependence on Data Quality

    AI works based on the data we provide. So, if there is any flaw in the data, then there will be a flaw in the outcome AI provides. This can lead to poor trades or even losses.

    2. High Costs of Development and Maintenance

    Developing a dedicated AI for trade based on your specific needs is time-consuming and costly. At the same time, you need technical know-how as well. So, this might not be suitable for everyone.

    3. Lack of Human Judgment and Intuition

    AI cannot think like a human. It follows set algorithms and data patterns, but it cannot understand sudden market changes caused by unexpected news, political decisions, or natural disasters that often shake markets instantly.

    4. Risk of Overfitting Models

    There is a chance that AI will become too focused. So, it might start missing small points which will need reworking. This might not match the exact needs, and again, there will be losses in future.

    5. Cybersecurity and Technical Risks

    AI is connected online. It is prone to cybersecurity and technical issues. If not adhered to and properly managed, your data can be leaked, which is not a good sign. 

    6. Ethical and Regulatory Concerns

    There are various ethical concerns associated with AI. It uses your personal data. If there is one single loophole, your data can be breached. Also, laws change consistently, and if the pace is not maintained, you might face a penalty.

    Future of AI in the Stock Market

    AI is expected to transform the stock market even more in the coming years. As the technology changes, there will be new developments that can help improve. This will in fact change the entire toolkit for a trader. Some of the trends expected are:

    • AI will offer personalized strategies based on each trader’s goals and risk comfort.
    • Algorithmic trading will become faster with trades completing within seconds.
    • Real-time analysis of even minute news will be quicker.
    • Better prediction of potential economic downtrends. 
    • Using AI to avoid manipulation and check regulatory aspects.
    • Clearer and stronger ethical guidelines. 
    • Stronger cybersecurity to avoid technical failures.

    Read Also: Best AI-Based Trading Strategies Explained

    Conclusion

    AI is transforming the stock market greatly. It helps to execute faster and better trades. At the same time, AI can help with quicker predictions and better analysis. This can result in profits and reduced losses.

    Hence, AI is not just a tool but an ally in the stock market. If you are looking to start trading and planning your investments, then Pocketful can offer you the support you need. Open a demat account and start trading here. Gain all the guidance and support you seek to ensure you make better trading decisions. 

    So, start your journey towards informed and confident trading.

    S.NO.Check Out These Interesting Posts You Might Enjoy!
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    5Best Artificial Intelligence (AI) Smallcap Stocks

    Frequently Asked Questions (FAQs)

    1. What is the role of AI in stock trading?

      AI acts like a smart assistant in trading. It goes through hundreds of pieces of data and can analyse them. This helps you to understand the trends and make better trade calls. It can also highlight risks and potential fraud. This can help avoid losses. 

    2. Can AI guarantee profits in the stock market?

      No, AI cannot guarantee profits. It can help you with the data analysis and identification of possible trends. It can track news and information, and can help you with better suggestions on trade. But the confirmation of profit is not there.

    3. Is AI-based trading safe for beginners?

      Yes, AI tools can be helpful for beginners. They provide data-backed insights. They can help automate certain trading tasks. This can save time, but you need to stay cautious while using AI.

    4. What are the limitations of using AI in trading?

      The main risks include dependence on data quality, high costs of AI systems, lack of human judgment for unexpected events, cybersecurity risks, and potential overfitting of models to past data patterns.

    5. How can I learn to use AI for my trading strategies?

      You can look for platforms that allow you to use AI or offer AI-based strategies. There are even courses that you can take. Though this will take time, the end result will be great.

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