Have you ever wanted to trade but didn’t have enough cash on hand while holding stocks you believe will perform well and don’t want to sell? This is where Margin Against Shares (MAS) comes in. It’s a popular and highly effective facility that allows you to borrow funds by pledging the shares you already own, giving you the liquidity to trade without having to sell your investments.
We’ll explain the concept of Margin Against Shares (MAS) in an easy-to-understand way with an example. Moreover, we will discuss its advantages and disadvantages.
Understanding Margin Against Shares
Consider it this way – You have shares in your demat account. When you need more money to trade, you can pledge these shares to your broker rather than selling them. You receive a certain amount of money (also referred to as “pledged margin”) in exchange, which you can use to trade more stocks or derivative contracts.
How Does it Work?
Usually, it goes like this:
You have shares in your demat account.
You request that your broker pledge those shares.
After evaluating their eligibility, the broker informs you of the margin you will receive, which is normally between 50% and 80% of the total value.
That sum is credited to your trading account as pledged margin.
Now you can trade with it.
You can unpledge your shares if you no longer need margin to trade.
Example: Suppose you own ₹1,00,000 worth of ABC stock. Your broker gives you a ₹60,000 margin (at 60%) after you pledge it. You can now trade with more purchasing power without having to sell your shares or transfer additional funds.
You want to trade but do not want to part with your long-term holdings? Instead of selling your shares, MAS allows you to borrow against them.
2. Easy Access to Money
All you have to do is pledge your shares to access funds, which can sometimes be fulfilled within a matter of hours.
3. Increased Profit Potential
Your money stays invested in your shares while also being used as collateral for trading, allowing you to maximize the potential of your capital.
4. Do With It As You See Fit
You may use the pledged margin to trade F&O or additional stocks on an intraday basis.
5. The shares are still yours.
You still receive dividends, bonuses, and other benefits even though your shares are pledged.
Risks
1. Markets May Be Volatile
Your margin limit also decreases if the value of the shares you pledged declines, and your broker may request that you deposit additional money or pledge additional securities.
2. Your Shares May Be Sold
Your broker may sell your pledged shares or square off your trades to make up the difference if you don’t fulfill margin requirements promptly.
3. Interest Charges May Increase
It is not always free to use the margin. Trading in F&O contracts may attract interest charges if the cash component of the margin requirement is funded by your broker.
4. Not Every Stock Is Permitted
Not all shares are allowed for availing margin against shares. You can only pledge shares that are approved by your broker and permitted by regulatory authorities.
5. Significant Losses
You could be tempted to trade more than you should if you have additional money. Additionally, overtrading in the market can quickly result in significant losses.
If you wish to do trading without depositing additional funds and selling your favourite stocks, using margin against shares is a wise choice. It is efficient, enhances profit potential, but also involves risks. Therefore, if you want to use it, start small, stay informed, and never trade beyond your comfort level. When used properly, MAS can be an effective tool for increasing your profits without affecting your long-term investments.
S.NO.
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Sri Lotus Developers IPO opened for subscription on 30 July 2025. The issue of ₹792 crore consists entirely of a fresh issue of 5.28 crore shares. Its price band has been fixed at ₹140 to ₹150 per share and the listing is expected to happen on BSE and NSE on 6 August 2025.
Sri Lotus Developers IPO Day 2 Subscription Status
Sri Lotus Developers IPO has received a total subscription of 11.10 times till the second day. The retail category has received 9.58 times, QIB 9.31 times and the NII segment has received the highest number of applications at 17.10 times. In total, more than 15 lakh applications have been submitted and bids worth more than ₹ 6,165 crore have been received. This data is till 5:04 pm on July 31, 2025 (Day 2 Completion Status).
Investor Category
Subscription (x)
Qualified Institutional Buyers (QIB)
9.31
Non-Institutional Investors (NII)
17.10
bNII (above ₹10 lakh)
14.11
sNII (less than ₹10 lakh)
23.09
Retail Individual Investors (RII)
9.58
Employee Quota
8.46
Total Subscriptions
11.10
Total Applications: 15,09,224
Objective of the Sri Lotus Developers IPO
The funds raised from Sri Lotus Developers IPO will be used by the company to further its development work. The funds will be primarily used to meet the construction costs of ongoing projects of subsidiary companies and general corporate needs.
Use of IPO Proceeds
Amount (₹ Cr)
Investments in subsidiary companies Richfeel Real Estate Pvt. Ltd., Dhyan Projects Pvt. Ltd., and Tryksha Real Estate Pvt. Ltd. to partially fund the development and construction costs of their ongoing projects Amalfi, The Arcadian, and Varun
550.00
General corporate purposes
–
Sri Lotus Developers IPO GMP – Day 2 Update
The last Grey Market Premium of Sri Lotus Developers IPO was recorded at ₹42 on July 31, 2025. Considering the price band’s upper limit of ₹150, the estimated listing price works out to be ₹192. This means that the estimated listing gain per share is around 28%.
Date
GMP (₹)
Est. Listing Price (₹)
Gain (%)
31 July 2025 (DAY-2)
₹42
₹192
28%
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.
Important Dates for Sri Lotus Developers IPO Allotment
Event
Date
Tentative Allotment
Aug 4, 2025
Refunds Initiation
Aug 5, 2025
Credit of Shares to Demat
Aug 5, 2025
Listing Date on BSE SME
Aug 6, 2025
Sri Lotus Developers Overview
Sri Lotus Developers & Realty Limited was founded in February 2015 and is a leading real estate company in Mumbai, specializing in the redevelopment of ultra-luxury and luxury residential projects in the Western Suburbs. As of June 30, 2025, the company has a total developable area of 0.93 million square feet, which includes both residential and commercial properties. The company’s main focus is on the construction of 2BHK and 3BHK flats (₹3-7 crores) and 3BHK to 4+ BHK penthouses (₹7 crores and above) in the high-end segment. Along with this, the company is also active in the development of premium commercial office spaces. So far, the company has completed 4 projects, 5 projects are in progress and 11 new projects are in the pipeline. Features such as strong brand value, ability to sell at premium prices, asset-light business model and timely project delivery make it a reliable real estate company. The company’s leadership team is equipped with experienced promoters and management professionals.
Have you ever thought about whether you could trade stocks like Wall Street experts using artificial intelligence (AI)? AI is increasingly being used in the world of investing, and it’s no longer limited to large institutions or tech experts.
Nowadays, anyone can use AI tools to predict stock prices, automate strategies, track market trends, and improve their trading decisions. You do not have to be a software developer or data scientist to get started. In this guide, we’ll explain what AI trading is, how it works, and how you can start using it.
What is AI Trading?
Consider artificial intelligence (AI) as a very intelligent assistant that can analyse extensive volumes of data, such as historical stock prices, news headlines, social media noise, and identify trends that could help you predict a stock’s future price movements.
AI can assist with trading in the following ways:
Recognising patterns and forecasting prices
Examining sentiment in tweets and news
Automated trade execution
Rebalancing portfolio
Managing risk
Evolution of AI in Stock Trading
Trading stocks has advanced significantly. In the past, it was all about being intuitive and the people you knew. These days, computers can read news articles, analyse tweets, and make trades more quickly than a human could.
How did we get here, then? Let us take a quick look back at how artificial intelligence (AI) gradually but steadily entered the stock market.
Before 1980s
Imagine traders yelling across the floor, phones ringing nonstop, and stock prices scrawled on notepads. There were no advanced models or fast computers, so people relied on their experience, intuition, and the morning paper while making decisions. Everything was manual, emotional, and, well, a little chaotic.
1980-90s
With the introduction of personal computers, things began to change. To test strategies, traders started using spreadsheets and basic formulas. It was the first time that people could analyse actual data before making a trade, but it wasn’t AI. This period created the foundation for “quantitative trading,” in which reason and statistics began to take first place over intuition.
Early 1990s
The 1990s saw a boom in trading. High-frequency trading, or HFT, began when computers began to make thousands of tiny trades per second.
This was not AI. It was more like automatic, lightning-fast math. Nonetheless, it suggested a major shift from human-driven to rule-based automation.
Late 1990s
Things started to get fascinating at this point. Traders started feeding previous market data into algorithms that could learn and get better over time as machine learning gained popularity. Traders started allowing computers to make decisions on their own instead of following only predefined instructions. This strategy was used by prominent hedge funds like Renaissance Technologies, which are extremely successful and secretive, and quietly control the markets.
Early 2010
We were all overwhelmed by information in the 2010s. At that point, AI advanced further by learning to read and comprehend human language. In a shorter period than it would take a human to read the article, tools that use natural language processing (NLP) could determine whether the sentiment surrounding a stock was positive or negative and take appropriate action.
With robo-advisors and app-based tools suggesting portfolios based on individual goals and risk tolerance, retail investors also began to benefit.
Fast Forward to Now
AI is more intelligent, faster and widely available than before. Deep learning models can forecast stock price trends by identifying patterns that humans might miss. Large language models are useful for writing trading strategies, carrying out market research, and even coding.
A basic framework of how AI trading works is given below:
1. Identifying Trends and Formulating Forecasts: It is possible to train AI tools, particularly those that employ machine learning, to identify patterns in past stock data. They improve their ability to forecast the possible behaviour of particular stocks over time. Imagine it as a more advanced form of technical analysis, only faster and more accurate.
2. Sentiment Analysis: Artificial intelligence (AI) systems can search the internet for anything, including news articles, financial reports, Reddit posts, and tweets. They can very quickly ascertain whether the general sentiment regarding a particular stock or industry is favourable or unfavourable. This is referred to as sentiment analysis, and it can help you in anticipating the market’s reaction.
3. Trading Automatically Using Predetermined Rules: When trades are carried out automatically in response to a set of instructions, this is known as algorithmic trading, or algo trading. These rules can now be adjusted in response to real-time data when AI is added. A bot can buy or sell for you depending on the state of the market.
4. Optimising Your Portfolio: Artificial intelligence (AI) tools can analyze your investments and make recommendations for strategies to lower risk or increase returns. They perform this by examining the movement of various assets and determining the best combination depending on your objectives.
5. Recognizing Risks: By identifying unusual activity, abrupt volatility, etc. AI can even help you avoid mistakes, thereby helping you manage risk.
1. Learn Key AI Concepts: Before you start working with artificial intelligence (AI), learn the basics, including how it can recognise patterns, predict trends, assess the sentiment of news, and automate trades. You don’t have to be a tech expert to understand the problems AI helps to solve in the trading industry.
2. Pick suitable AI Tools: Choose tools based on your goals and skill level. Professionals might look into QuantConnect, while beginners can begin with no-code platforms. Verify that the tool supports automation, real-time data, and backtesting.
3. Build your AI Trading System: After selecting a platform, create a trading strategy. Before going live, analyze historical data, establish risk limits, set entry and exit rules, and execute backtests to observe how your AI system performs in various market scenarios.
4. Use AI Features Effectively: Make use of AI tools for price prediction, pattern recognition, sentiment analysis, and portfolio optimisation. For example, some AI models can alert you when a stock is overbought or automatically adjust your holdings in response to market volatility.
5. Combine AI with Human Oversight: AI is not perfect, so don’t rely solely on it. Watch your system closely and be prepared to take over control over trading when necessary. Combining market experience with AI’s speed yields the best results.
AI has significantly changed stock trading, evolving from human-driven decisions to systems that can learn, adapt, and even outperform experienced traders. This journey is still unfolding, making it an exciting time for both beginners and seasoned investors to explore how AI can enhance their trading strategies. It is advised to consult a financial advisor before trading.
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Does using AI for trading require coding knowledge?
No, not always! Without writing a single line of code, you can create AI-powered strategies with the help of no-code platforms.
Is it possible for AI to forecast stock prices?
Although no model is 100% accurate, AI can predict trends based on historical data. It is not a crystal ball, but a tool.
Is AI trading meant for experts?
Not at all! Even novices can use AI to automate processes or do more intelligent data analysis with today’s tools.
Describe backtesting and explain its significance.
Backtesting is the process of evaluating your approach using historical data to determine how well it would have worked. It keeps unpleasant surprises at bay.
Is it possible for AI to eliminate trading risk?
No. Although markets are unpredictable, AI can improve risk management. Always keep an eye on your plan and make necessary adjustments.
The size of M&B Engineering IPO is ₹650 crore, which includes a fresh issue of ₹275 crore and an OFS of ₹375 crore. The issue will remain open from July 30 to August 1, 2025. The price band has been fixed at ₹366-₹385 per share. Its listing is expected on BSE and NSE on August 6.
M&B Engineering IPO Day 2 Subscription Status
M&B Engineering IPO has received a very strong response from retail investors, where the retail category has been subscribed 10.16 times on Day 2. The NII category has also been subscribed 4.56 times, while demand in the QIB category is still very low (0.02 times). The overall IPO has been subscribed 3.11 times. Full allotment of anchor investors has already been done.
Investor Category
Subscription (x)
Qualified Institutional Buyers (QIB)
0.02
Non-Institutional Investors (NII)
4.56
bNII (above ₹10 lakh)
3.48
sNII (less than ₹10 lakh)
6.72
Retail Individual Investors (RII)
10.16
Employee Quota
3.81
Total Subscriptions
3.11
Total Applications: 4,04,315
Objective of the M&B Engineering IPO
M&B Engineering will use the funds raised from this IPO to expand its business and strengthen its finances. The company will invest these funds to purchase machinery, solar grid setup, loan repayment and IT upgradation.
Use of IPO Proceeds
Amount (₹ Cr)
Procurement of machinery, equipment, building works, solar rooftop grids and transport vehicles for manufacturing facilities
130.58
Investment in IT software upgradation by the company
5.20
Partial or full repayment / prepayment of certain term loans taken by the company
58.75
General Corporate Purposes
–
M&B Engineering IPO GMP – Day 2 Update
The grey market premium (GMP) of M&B Engineering IPO was recorded at ₹55 on July 31, 2025. With the price band’s upper limit at ₹385, the estimated listing price based on today’s GMP could be ₹440, giving a potential return of around 14.29%.
Date
GMP (₹)
Est. Listing Price (₹)
Gain (%)
31 July 2025 (DAY-2)
₹55
₹440
14.29%
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.
M&B Engineering Limited was established in 1981 and since then, it has been engaged in the field of Pre-Engineered Buildings (PEBs) and Self-Supported Roofing Solutions. The company offers a complete design to installation solution to produce strong and durable steel structures.It has two manufacturing plants located at Sanand in Gujarat and Cheyyar in Tamil Nadu with a total production capacity of 1.03 lakh MTPA. The Phenix division specializes in PEB manufacturing, while the Proflex division manufactures roofing on site using mobile units. The company has completed over 9,500 projects so far.M&B Engineering has clients from various sectors such as textiles, manufacturing, food, power and railways. The company exports its products to over 22 countries. Its order book stands at over ₹842 crore as of June 2025, reflecting its strong market position.
Leverage and margin trading are the two popular trading strategies used by traders to enhance their returns. These approaches make it possible to take larger positions than what one’s own funds would normally allow. However, it is necessary to understand the risk and difference between margin trading and leverage trading to use them effectively.
In this blog, we will explain to you the key differences between leverage and margin trading.
What is Margin Trading?
Margin trading allows you to buy assets by borrowing funds from your stockbroker, enabling you to take larger positions than your available capital would otherwise permit. This can be done in two main ways:
Pledged Margin – By pledging the shares you already hold in your demat account, you can unlock their value and use it as collateral to trade in your chosen assets. The pledged margin is always less than the current market value of the pledged securities.
Margin Trading Facility (MTF) – Brokers also provide a facility where you can borrow additional funds directly to purchase stocks, often beyond the value of your holdings.
In exchange for providing MTF, brokers charge interest, which can range from 5.99% to 18% annually, depending on the broker. For instance, Pocketful offers one of the lowest interest rates in the market at just 5.99%. Interest accrues until the borrowed amount is fully repaid. Additionally, pledging charges may also apply when you use your existing shares as collateral.
The key features of margin trading are as follows:
Features of Margin Trading
Initial Margin: A trader is required to deposit an initial margin before executing a trade using MTF. When using pledged margin, no additional cash margin is required upfront, as the pledged shares serve as collateral.
Margin Call: In MTF, the broker issues a margin call, requesting additional funds, if the funds in the trading account drops below the minimum maintenance margin due to market movements against your trading position. In pledged margin, if your losses exceed the pledged margin, the broker can sell your holding to cover your losses.
Selected Securities: Not all stocks are eligible for margin trading. The list of securities that are allowed for margin trading is usually provided by brokers.
What is Leverage Trading?
Leverage is a feature that allows you to enter large positions by depositing a small amount of the entire trade value as a margin, and the remaining amount is paid by your broker. Generally, leverage is expressed in terms of multiples such as 5x or 10x. Leverage offered by a company depends on various factors, such as the market segment in which you are trading, such as cash, and derivatives segments.
Features of Leverage Trading
The key features of leverage trading are as follows:
Increased Market Exposure: Leverage trading increases both profits and losses by allowing traders to create large trading positions with small capital.
Multiple Segments: Leverage trading provides flexibility across various market segments, such as stocks, forex, commodities, derivatives, etc.
Short-term Trades: Leverage trading is typically used by traders to earn profit from short-term price movements, generally intraday.
Key Differences Between Margin Trading and Leverage Trading
Particular
Margin Trading
Leverage Trading
Source of Funds
Involves borrowing funds from the broker either by: • Pledging Margin – Using existing shares in your demat account as collateral. • Margin Trading Facility (MTF) – Borrowing additional funds from the broker to buy stocks.
Brokers provide extra capital (leverage) to take larger positions without requiring pledging of securities.
Ownership of Assets
You purchase and hold the shares in your account using the borrowed funds.
You typically do not own the underlying asset as leverage is usually available on derivative instruments or on an intraday basis.
Interest Charges
Brokers charge interest on the borrowed amount using MTF (usually between 5.99% – 18% annually). Pledging charges may also apply to avail pledged margin.
Leverage trading attracts no interest.
Collateral Requirement
Requires collateral ,i.e. your pledged shares for availing pledged margin. In MTF, shares purchased are pledged after purchase.
Usually does not require pledging; only margin deposit is needed as security.
Risk Level
Lower relative to high-leverage trading since it is backed by pledged securities and regulated borrowing limits.
Higher risk due to the ability to open much larger positions than your actual capital.
Purpose
Primarily used for long-term share purchases with additional funds.
Often used for short-term speculative trades in derivatives, forex, or commodities.
Benefits of Leverage and Margin Trading
The key benefits of leverage and margin trading are as follows:
Increased Purchasing Power: With leverage and margin trading, traders are able to execute larger positions than they could with their funds. This increases their capacity to take advantage of market opportunities without having to pay the entire amount upfront.
Higher Profits: Even slight price changes may provide significantly higher returns than unleveraged positions.
Opportunities in Any Market Direction – Whether the market is rising or falling, traders can capitalize on both bullish and bearish trends using various setups such as futures contracts, options, or margin-based short-selling.
The various risks involved in leverage and margin trading are as follows:
Increased Loss: Losses can also increase exponentially if there is an unfavourable price movement in the stock price.
Margin Call: The broker may issue a margin call if a trader’s account value drops below the necessary margin limit. To meet the margin requirement, the trader must either liquidate their current positions or make additional deposits.
Auto Square Off: If the price falls below a certain level and the trader fails to deposit the additional margin required, then the broker can square off the position.
Conclusion
Both leverage and margin trading can significantly boost profits but also increase risk exposure. While margin trading involves borrowing against existing assets or availing a margin facility (MTF) for long-term share purchases, leverage trading is typically used for short-term speculative positions. Understanding these differences and applying sound risk management strategies — such as using stop-loss orders and avoiding over-leveraging — is crucial. Always consult with a financial advisor before using these trading approaches.
S.NO.
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Is there any difference between margin trading and leverage trading?
Yes, both margin and leverage trading differ from each other as margin trading is a trading approach in which a trader borrows money from the broker by pledging their shares or takes a loan from the broker and pays interest against it. While in leverage trading, a trader deposits a small amount and borrows the remaining funds to increase their position over and above the capital deposited by them, usually to trade on an intraday basis.
Do I need to have a special account for margin trading?
No, you do not need a separate account to trade using margin trading facility (MTF).
What is a margin call?
A margin call is when your broker requests that you sell some of your shares or make additional deposits into your margin account in order to comply with the necessary maintenance margin level. This occurs when your leveraged position’s value significantly falls.
Is there any difference between MTF and Margin Trading Facility?
MTF is simply the acronym for Margin Trading Facility.
How to manage the risk involved in leverage and margin trading?
To manage risk, one must use stop-loss, avoid over-leveraging, and monitor their positions closely.
National Securities Depository Limited (NSDL)’s ₹4,011.60 crore IPO will be open from July 30 to August 1, 2025. It is a fully OFS of 5.01 crore shares. The price band has been fixed at ₹760–₹800 and the listing will take place on BSE on August 6.
NDSL IPO Day 2 Subscription Status
The NSDL IPO has received a total subscription of 5.04 times till the second day, based on data till 5:04:46 pm on July 31, 2025. The response from retail investors remained strong, where the subscription was 4.19 times. Non-institutional investors (NII) bid 11.08 times, with the share of large bidders (bNII) being 10.44 times and the share of small bidders (sNII) being 12.36 times.
Investor Category
Subscription (x)
Anchor Investors
1
Qualified Institutional Buyers (QIB)
1.96
Non-Institutional Investors (NII)
11.08
bNII (above ₹10 lakh)
10.44
sNII (less than ₹10 lakh)
12.36
Retail Individual Investors (RII)
4.19
Employee Quota
7.69
Total Subscriptions
5.04
Total Application : 25,89,875
Objective of the NDSL IPO
The main objective of the NSDL IPO is to list the company’s equity shares on the BSE. Since this is purely an offer for sale, the amount raised from this will not go to the company, but to the investors selling the shares.
NDSL IPO GMP – Day 2 Update
Today’s last grey market premium of NSDL IPO is ₹143, which was updated at 3:53 pm on 31 July 2025. The price band of the IPO is ₹800 and according to this, its estimated listing price can be ₹943. That is, a potential return of about 17.88% per share is being made.
Date
GMP (₹)
Est. Listing Price (₹)
Gain (%)
31 July 2025 (DAY-2)
143
943
17.88%
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.
NDSL IPO – Key Details
Particulars
Details
IPO Opening Date
July 30, 2025
IPO Closing Date
August 1, 2025
Issue Price Band
₹760 to ₹800 per share
Total Issue Size
5,01,45,001 shares(aggregating up to ₹4,011.60 Cr)
National Securities Depository Limited (NSDL) is one of the oldest and most trusted depository companies in India. Established in 2012, the company operates as a SEBI registered Market Infrastructure Institution (MII). Its main function is to facilitate the holding and transfer of shares and other securities in electronic form. Through NSDL, investors get services like trade settlement, pledging, off-market transfer and corporate actions in demat accounts. Also, features like e-voting, Consolidated Account Statement (CAS) and Non-Disposal Undertaking (NDU) are also available.
NDSL has two major subsidiaries
NDML, which handles projects such as e-governance, KYC and National Skills Registry, and
NSDL Payments Bank, which provides digital payments and micro-banking services.
As of March 2025, NSDL has more than 3.94 crore active demat accounts. This company has reached more than 99% of pin codes across India and 186 countries. Its biggest strength is strong technology, secure systems and experienced leadership.
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 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 3 Subscription Status
Tremendous interest was seen in the QIB (Qualified Institutional Buyers) category, where the subscription reached 140.50 times. Along with this, great enthusiasm was also seen in the Retail Investors and NII (Non-Institutional Investors) categories. Employee quota also registered a share of 9.01 times.
Investor Category
Subscription (x)
Qualified Institutional Buyers (QIB)
140.50
Non-Institutional Investors (NII)
75.93
bNII (above ₹10 lakh)
78.86
sNII (less than ₹10 lakh)
70.07
Retail Individual Investors (RII)
53.81
Employee Quota
9.01
Total Subscriptions
106.23
Total Applications: 40,16,488
Total Bid Amount: ₹76,302.12 crore (approx)
How to Check Aditya Infotech IPO Allotment Status
You can easily check the allotment status of Aditya Infotech IPO online. There are two official ways for this: the Registrar’s website and BSE’s website. Note that this IPO is being listed on both BSE and NSE platforms, so you can check the allotment from both NSE or BSE. The registrar of this IPO is MUFG Intime India Private Limited.
Method 1: Registrar’s website (MUFG Intime India Pvt. Ltd.)
The most reliable way is to check allotment from MUFG Intime India Private Limited’s website.
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 Proceeds
Amount (₹ Cr)
Prepayment and/or part payment of certain borrowings taken by the Company
375.00
General Corporate Purposes
Not mentioned
Aditya Infotech IPO GMP – Day 3 Update
The latest gray market premium (GMP) of Aditya Infotech IPO has reached ₹290 today, i.e. 31 July 2025. The price band of the IPO is ₹675, which when added gives an estimated listing price of ₹965. According to this, investors can get a potential return of about 42.96% per share.
Date
GMP (₹)
Est. Listing Price (₹)
Gain (%)
31 July 2025 (DAY-3)
₹290
₹965
42.96%
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
Particulars
Details
IPO Opening Date
July 29, 2025
IPO Closing Date
July 31, 2025
Issue Price Band
₹640 to ₹675 per share
Total Issue Size
1,92,59,258 shares(aggregating up to ₹1,300.00 Cr)
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.
Laxmi India Finance’s ₹254.26 crore book building IPO 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 3 Subscription Status
Laxmi India Finance IPO has received a total subscription of 1.86 times till the third day. Retail investors were the most interested, where this part has been subscribed 2.20 times. There has been 1.30 times bidding in the QIB category and 1.83 times in the NII category.
Investor Category
Subscription (x)
Qualified Institutional Buyers (QIB)
1.30
Non-Institutional Investors (NII)
1.83
bNII (above ₹10 lakh)
1.82
sNII (less than ₹10 lakh)
1.87
Retail Individual Investors (RII)
2.20
Employee Quota
1.54
Total Subscriptions
1.86
Total Applications: 1,15,060
How to Check Laxmi India Finance IPO Allotment Status
Laxmi India Finance IPO allotment can be easily checked online in two ways: from the Registrar’s website and from the BSE or NSE website. This IPO will be listed on both the exchanges – BSE and NSE, so the allotment status will be available to all investors on both platforms.
Method 1: Registrar’s website (MUFG Intime India Pvt. Ltd.)
The most reliable way is to check allotment from MUFG Intime India Private Limited’s website.
Select “Laxmi India Finance Ltd.” from the IPO list
Enter PAN number and Application number
Click on Search
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 Proceeds
Amount (₹ Cr)
Augmentation of capital base for future lending (onward lending)
143.00
Laxmi India Finance IPO GMP – Day 3 Update
The grey market premium (GMP) of Laxmi India Finance IPO is ₹ 1 today, 31 July 2025. Adding the upper level of the price band of ₹ 158 gives the estimated listing price of ₹ 159, i.e. a potential premium of about 0.63% is visible.
Date
GMP (₹)
Est. Listing Price (₹)
Gain (%)
31 July 2025 (DAY-3)
₹1
₹159
0.63%
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.
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.
Imagine you are surfing a powerful wave not by expecting where it will form, but by locating it as it rises and taking the advantage of this rise as long as it lasts. This is the key characteristic of momentum trading, i.e., identifying a stock already in motion and capitalizing on its ongoing momentum to earn profits.
As the name suggests, momentum trading is a trading approach focusing on the buying and selling of stocks based on the trend, or ‘momentum’ they show. Like all approaches, it has its strengths as well as weaknesses but the core advantage of employing this strategy is the potential of generating significant profits with small capital when compared to other strategies.
Momentum Trading: Concept, Procedure & Other Important Information
Momentum trading in stock markets is based on the assumption that movements in prices tend to persist. If a security shows an upward movement, then it is expected to continue going upwards for some period, and the same concept applies in the case of downward movement.
Professional momentum traders focus on identifying stocks or assets that display strong upward or downward momentum and adjust their positions accordingly. Unlike traditional investors who buy and hold for the long term, momentum traders operate with a shorter time horizon; typically holding positions for only a few hours, days, or at most, a few weeks.
Important metrics and indicators to track momentum include :
Trading volume
Moving Averages
Relative Strength Index (RSI)
Moving Average Convergence Divergence (MACD)
A trader enters a trading position upon confirming the existing trend and exits once the trend begins to weaken. For executing day trades with this approach, one practically only needs to scan for sustained movements. Traders looking to buy momentum stocks should be prepared to exit their positions as soon as signs of selling pressure emerge and vice-versa.
Trading with momentum is all about taking advantage of strong price moves. From experience and research, we discovered three powerful momentum strategies that professional traders use:
1. Breakout Strategy
This strategy features entry into trading positions as soon as the price breaks out of a significant support or resistance level and moves lower or higher respectively. Breakouts near key technical levels with huge volumes often lead to strong price movements in the direction of the breakout.
Buy Signal : A buy signal is a breakout above resistance, accompanied by high volume. It indicates strong bullish sentiment and upward movement.
Sell Signal : A sell signal is a breakdown below a support level. The drop should be accompanied with strong volumes showing strong bearish movement and potential for sustained price decline.
2. Moving Average Crossover Strategy
This is another very popular momentum strategy. The Moving Average Crossover strategy employs two moving averages: a short one that closely follows the price curve and a longer one which acts as the trend indicator.
Buy Signal : In this the trader gets the buying signal when the short term moving average (MA), like the short term 10-day MA, crosses above the long-term moving average which can be 50-day MA. This is known as the “golden cross”. This cross indicates some upward momentum.
Sell Signal : This occurs when short-term such as 10-days MA drops below the long-term MA of 50-day. This is termed as a “death cross” and it signifies bearish prevailing momentum.
3. Volume Spike Strategy
Significant price movements are often preceded by unusual spikes in volume. This strategy aims to capitalize on the momentum that follows a spike in trading volumes. Also traders use this strategy to identify the breakouts, trend reversals and gauge the strength of momentum.
Buy Signal : The increase in price with the increase in volume suggests buying, indicating that the price may continue to move higher.
Sell Signal : Similarly when the price as well as the volume starts to decrease indicates the right time to sell as it may further fall down.
Things To Take Into Account Prior To Selecting Momentum Trading
Rewarding as it may be, momentum trading depends on several key factors for successful execution. Before diving into this fast-paced strategy, consider the following:
1. Level Of Volatility In The Market
Momentum trading requires strong and sustained price movement to be truly effective. It is optimal in markets with volatile conditions as strong trends build up in a short period of time. On the other hand, these volatile environments can also be prone to fast reversals. If you choose to participate in the momentum trading, you must be comfortable holding positions in volatile market conditions where prices shift side to side in a matter of seconds.
2. Risk Appetite
In the case of risk tolerance, momentum trading is not the best option. Due to the necessity for quick decision-making as well as relatively large price movements, momentum trading has inherent risk. Adjusting your trades before your risk limits are reached, since prices can turn around as swiftly as they move in one’s direction, it is prudent to determine your risk tolerance well before starting momentum trading.
3. Market Timing
Before a trade is made, timing the market is crucial. In momentum trading, getting in too early exposes you to false breakouts while getting in too late means you won’t be able to take most of the move. Timing your trades precisely with reasonable accuracy relies on practice as well as backtesting.
4. Technical Tools & Indicators
Effective momentum traders make use of technical analysis. An understanding of the MACD, Moving Averages, and even volume patterns is a must. It is important to select a trading platform like Pocketful as it supports real-time charting, speedy order execution, and offers alerts so that no trading opportunity is missed.
5. Emotional Discipline
Emotional impulses can result in poor decision making while looking to capitalize on the adrenaline rush associated with impulse trading. Emotional control and discipline in accordance with a well defined trading strategy is a necessity. Adhering to strategies instead of chasing profits often has better outcomes. In trading, being consistent and disciplined overshadows relying purely on gut instinct.
6. Liquidity of Assets
Assets and stocks with high liquidity must always be selected. Having the ability to enter and exit trades without affecting the price significantly helps you protect your profits. Stocks with low liquidity can be difficult to exit or cause losses because of slippage costs during unexpected market volatility.
7. Brokerage Costs & Fees
Trading has its costs and usually people overlook the trading charges associated with frequent trading. Compare the fee structure among different brokers as it is important to select a trading platform that has the lowest brokerage.
Advantages of Momentum Trading
Momentum trading offers several key benefits for active traders:
Quick Profits – This strategy works best for assets showing strong trends, allowing traders to realize profits within a short time frame.
Trend Following – It capitalizes on clear market trends by buying when prices are rising and selling when they begin to fall.
Simple Concept – The core principle is straightforward: “buy when others are buying and sell when others are selling”. The only requirement is to buy and sell before the majority of market participants have made their trades.
High Liquidity – Momentum trades often involve highly traded assets with large volumes, ensuring quick execution.
Technical Analysis Tools– Momentum trading aligns well with popular technical indicators such as MACD, RSI, and moving averages, which help traders make informed decisions.
Disadvantages of Momentum Trading
Disadvantages of momentum trading are given below:
High Risk : Losses can be immense, if any time, a sudden price change occurs and stoploss is not present.
Requires Constant Monitoring : Momentum trading is often done in volatile market conditions, which requires constant adjustment to trading positions.
False Signals: Technical indicators or price action often generate false signals in assets with low trading volume.
Short-Term Focus: This style leads to a focus on short-term activity and is not friendly to long-term investors who are not usually active.
Market Dependency: Might perform badly in horizontal non-trending markets.
What kind of events trigger movement?
Positive earnings reports
Major product launches
Mergers & Acquisitions
Regulatory approvals
Bullish sector-wide news
Strategy
Act early, if news breaks out in the pre-market session or immediately after the announcement.
Take advantage of the directional price movement, but make sure to set a suitable stop-loss above breakeven as news-based price action can also reverse direction quickly.
Additional Tips
Put very tight stop-losses to defend against reversal moves.
Set trailing stops to secure your profits as the trade moves in your favor.
Stay disciplined while trading. Remember that holding onto trades for too long can result in losses if momentum is fading.
Always ensure you are following the trend, these types of strategies will only work in trending markets.
As you can see, momentum trading is an effective strategy to employ in actively moving markets. Make sure you have a clear understanding of what momentum trading is, how to implement momentum trading strategies, and risk management techniques.
To succeed in momentum trading, one has to ensure that they enter a trade at the right time, and exit when the momentum begins to slow down. However, it is advised to consult a financial advisor before trading.
S.NO.
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What is the ideal time frame for momentum trading?
Momentum Trading is often associated with Swing or Day trading, as long as it is paired with other strategies. Day traders select 5 to 15 minute timeframes as it enables them to capture short-time price shifts, while swing traders look at daily or weekly timeframes to capture trends lasting for a few days or weeks.
Can beginners do momentum trading?
Absolutely. Anyone can start momentum trading, but it’s crucial to first build a strong foundation. Beginners should start with the basics of technical analysis, understand key indicators, and practice with paper trading before committing real capital.
Is momentum trading safe?
Like any trading strategy, momentum trading carries its own risks and rewards. Success largely depends on proper risk management, quick decision-making, and a solid understanding of market behavior.
What indicators are best for momentum trading?
The best indicators that can be used for momentum trading are the volume, Moving Averages and Moving Average Convergence Divergence (MACD).
How do I learn about momentum trading?
To learn momentum trading, start by reading Pocketful blogs, experimenting with backtested strategies, and practicing through paper trading to build confidence before investing real money.
Artificial intelligence is changing how investors research companies, analyse market trends, and evaluate trading opportunities. Tasks that once required hours of reading financial reports, studying charts, and comparing stock market data can now begin with a simple question to an AI tool.
For Indian investors, the best AI tools for stock market analysis can make financial information easier to understand and help organise research more efficiently. In this guide, we explore eight useful AI tools and how to choose the right one for your needs.
What Are the Best AI Tools for Stock Market
The best AI tools for stock market analysis include ChatGPT, Pocketful GPT, Trendlyne and many more. These platforms support different research needs, from understanding financial statements and analysing charts to researching market news and identifying potential trading opportunities.
8 Best AI Tools for Stock Market Analysis
Here is a quick comparison of the tools covered in this guide.
AI Tool
Best For
Primary Use
1. ChatGPT
General stock research
Explaining financial concepts and analysing reports
2. Pocketful GPT
Stock market research
Exploring stocks, market developments, and trading concepts
3. Perplexity
AI-powered research
Finding information with supporting sources
4. TradingView
Technical analysis
Charting, indicators, screening, and strategy testing
5. Google NotebookLM
Document analysis
Understanding annual reports and earnings transcripts
6. Trendlyne
Indian stock screening
Comparing companies and financial indicators
7. Screener.in
Fundamental analysis
Studying financial statements and valuation ratios
8. Trade Ideas
Active trading
AI-assisted stock scanning, primarily for US markets
Overview of the Best AI Tools for Stock Market Analysis
An overview of the top 10 AI tools for stock market analysis is given below:
1. ChatGPT (by OpenAI)
ChatGPT is a general AI assistant that could help investors understand financial terms, organise research and analyse company data. Its interface allows users to ask questions in natural language instead of manually searching through various sources. It is able to answer questions in natural language .
For instance, when doing due diligence on a company, an investor could ask ChatGPT to describe revenue growth, operating margins, return on equity, or debt to equity ratios. It could also help break down financial statements, compare business models and highlight the risks that need to be investigated.
Features at a glance:
Explains the concepts of fundamental and technical analysis.
Summarises earnings call transcripts and financial reports.
Makes it easier to compare companies and interpret financial ratios.
uploaded spreadsheets and financial data for analysis.
Facilitates scenario analysis and research planning.
Best for: Beginners, finance students, and investors who want to understand complex financial information.
Limitation: ChatGPT is not a dedicated stock exchange data terminal. The availability and freshness of market information depend on the tools and sources used. Verify important figures against official filings and reliable market data.
2. Pocketful GPT
An AI-powered platform called Pocketful GPT was created to increase accessibility to stock market research, trading, and investing. To obtain tokens for using the platform’s features, users can connect their Pocketful Demat account and log in via the official Pocketful GPT website.
Pocketful GPT’s ability to consolidate various market elements into one location is what makes it beneficial. You can ask questions in natural language and receive AI-assisted insights to support your research, whether you want to analyze a company’s fundamentals & Technicals, investigate market trends, or learn about trading strategies.
Key features and use cases:
Fundamental Analysis: Examine the company’s financials, business performance, and key ratios to get a better sense of the company’s fundamentals.
Technical Analysis: Find price trends, chart patterns and technical indicators to spot potential trading opportunities.
Trade Execution: Execute trades as instructed via Pocketful GPT, subject to available features and permissions.
Trading and Investing: Use AI-assisted knowledge to assist your research on various trading and investment strategies.
Market Education- Understand stock market concepts, trading strategies and financial instruments in simple, easy to understand language.
Why Pocketful GPT?
It can be hard to understand financial data and what it means for an investment. Pocketful GPT makes stock market research more accessible by allowing you to ask questions in plain English and take your time to explore the subjects.
Whether you are learning the basics or researching a specific company, it can help you get started without getting lost in complex financial terms. But AI-generated insights should be considered a first step, not a substitute for independent research. Do your own due diligence always before making any investment decisions.argin, unrealized P&L, and full portfolio in one place.
3. Perplexity
Perplexity your personal research assistant powered by artificial intelligence (AI). This tool will help you explore any topic of interest by gathering information from the web. With its ability to provide source-linked responses, this could be ideal if you’re seeking details about company announcements, their earnings results, any industry developments, or even macroeconomic events.
For example, suppose an investor wanted to understand what was happening with banking stocks. In that case, they might use perplexity’s capabilities to research recent announcements from the RBI, interest rate changes, company results, and anything else going on economically pertinent to the situation. Once they had done this, they’d simply click through all these links and see the actual stuff referenced.
Key features:
Research current business and market developments.
Provides source links for further verification.
Summarises company announcements and industry news.
Helps investigate economic and sector-related events.
Organises information into concise research summaries.
Best for: Investors who follow market news and want to investigate the reasons behind stock movements.
Limitation: A cited answer is not automatically correct. Check the original source, publication date, and context before using the information in an investment decision.
4. TradingView
TradingView’s powerful AI Copilot feature for creating charts with stock indicators and performing market screenings. We’ll cover key use cases where AI Copilot comes into play – everything from interpreting technical information on your charts to exploring market data to creating Pine Script indicators & strategies that define your unique trading style.
The beauty of this functionality is that traders can interactively engage with their charts while simultaneously managing technical indicators. For example, traders could request an assistant to mark certain levels (support/resistance), analyze particular technical indicators such as moving averages, etc. Then historical strategy testing would be conducted to understand whether this specific trading approach actually worked when backtested against historical price action.
Key features:
Interactive charts and technical indicators.
AI-assisted chart analysis and screening.
Pine Script indicator and strategy generation.
Historical backtesting and performance analysis.
Watchlists, alerts, and market research tools.
Best for: Intraday traders, swing traders, and investors who use technical analysis.
Limitation: AI Copilot requires an eligible TradingView plan and a separate add-on under its current offering. Feature availability can change. Historical backtesting does not guarantee future results.
5. Google NotebookLM
Google NotebookLM is an artificial intelligence research tool that assists people in comprehending data from chosen documents and sources. This technology is especially valuable to investors who frequently read volume documents, including annual reports, and transcripts of earnings calls, among others.
For instance, an investor may utilize a company report to analyze changes in revenue, and management’s opinions, and investment risks to understand the situation of the business. Rather than traversing through these documents, investors are able to pose specific questions and find answers for effective further analysis.
Key features:
Summarises lengthy documents.
Answers questions using supplied research sources.
Helps identify themes across multiple documents.
Organises information for further investigation.
Supports structured financial research.
Best for: Long-term investors, finance students, and analysts who work with company reports.
Limitation: NotebookLM is not a dedicated live stock market analysis terminal. Check current prices, results, and announcements separately.
6. Trendlyne
Trendlyne is a research platform on the Indian stock market that gives data on companies, stock screening, indicators for finance, and tools for research. It helps professionals in the market filter through the thousands of companies listed under particular parameters.
As an illustration, it is possible for investors to pick companies with increasing levels of profits, good ratios of profit, and low levels of debts before looking into the specific company.
Key features:
Stock screening and financial filters.
Company fundamentals and valuation indicators.
Technical analysis tools and market insights.
Stock alerts and research features.
Company comparison and performance tracking.
Best for: Indian investors who want to compare companies and identify stocks for further research.
Limitation: Access to advanced features may depend on the subscription plan. Screening results and scores should not be treated as automatic buy or sell signals.
7. Screener.in
Screener.in is a popular platform for fundamental analysis of Indian listed companies. It helps investors examine historical financial statements, profitability, debt, cash flow, valuation ratios, and other business indicators.
For instance, an investor searching for companies with consistent sales growth and improving return on capital can create a custom screen and then investigate the shortlisted businesses.
Key features:
Historical financial statements and ratios.
Custom stock screening using financial criteria.
Company comparisons and financial trend analysis.
Information supporting fundamental research.
Tools for building repeatable screening strategies.
Best for: Long-term investors and fundamental analysts researching Indian equities.
Limitation: Screener.in is primarily a financial data and screening platform, not a dedicated conversational AI trading assistant. Verify figures against the latest company disclosures.
8. DeepSeek
DeepSeek is an open-source large language model (LLM) that you can use for stock market research. If you are a quant developer, you can train it on historical price information and company financials to create your own personalized screener, recommendation bot, or trend predictor. It is perfect for professionals who want to move beyond ready-made tools and build their own AI ecosystem. In 2026, many fintech startups will integrate it into their internal research workflows.
8. Trade Ideas
Trade Ideas is an AI-assisted trading research platform focused primarily on US equities. Its tools help active traders scan the market for stocks that meet selected conditions and identify potential trading setups.
For example, a trader can use scanning tools to find unusual price or volume activity instead of manually reviewing hundreds of stocks. This can make market monitoring more systematic.
Key features:
AI-powered stock scanning.
Market alerts and monitoring.
Tools for identifying potential intraday setups.
Trading research and strategy evaluation features.
Best for: Active traders focusing on US stock markets.
Limitation: It is not primarily designed for Indian market requirements. Check supported markets, subscription plans, and current feature availability before choosing it.
How to Choose the Right AI Tool for Stock Market Analysis
The right tool depends on your research requirements and trading style.
Requirement
Suitable Tool
Understanding financial concepts
ChatGPT
AI-assisted stock market research
Pocketful GPT
Researching news and sources
Perplexity
Technical analysis and charting
TradingView
Analysing financial documents
Google NotebookLM
Screening Indian stocks
Trendlyne
Fundamental analysis
Screener.in
Scanning US stocks
Trade Ideas
Before selecting a platform, consider these factors:
Data Accuracy: Check whether information is current and supported by verifiable sources.
Market coverage: Indian investors should confirm support for exchanges like NSE and BSE stocks and the financial data they need.
Analysis Objectives: Decide whether your priority is fundamental research, technical analysis, news, or screening.
Ease of use: Choose a platform that helps you understand information without hiding important assumptions or risks.
Cost and access: Compare free features, subscription charges, usage limits, and advanced capabilities.
How to Use AI for Stock Market Analysis Effectively
AI is best used as part of an organised research process.
Shortlisted stocks: Use screeners to find companies that match your initial criteria.
Start with the basics: revenue growth, profitability, debt, cash flow and valuation.
Chart analysis: Look at price action, volume, technicals and key levels.
Research news and developments: Read recent earnings, company announcements and credible market news.
Risks: Challenge your investment thesis with AI and identify potential pitfalls.
Check details: Verify key numbers against company filings and exchange disclosures.
Plan risk management: Please consider your risk tolerance, position size and exit conditions before trading.
For example – Take a bank stock, Artificial intelligence can help explain things like asset quality, profitability and interest-rate sensitivity. The investor should then look at the underlying numbers and consider valuation, the economic backdrop and downside risks.
Can AI Predict Stock Market Movements?
AI can dig into past prices, financial data, news, and key market indicators. Some advanced tools even send out alerts or let you test trading strategies using old market data.
But don’t expect AI to predict every move or promise you profits. Stock prices jump around for all sorts of reasons: unexpected news, shifts in the economy, changes in liquidity, how investors are feeling, or even big world events. On top of that, AI sometimes gets it wrong or works with data that isn’t complete.
So, use AI to spot opportunities, make sense of the numbers, and uncover risks. Just don’t treat it like a crystal ball handing out flawless buy or sell advice.
Conclusion
AI tools are making stock market research more accessible by helping investors understand financial information, screen companies, analyse charts, and investigate market developments. However, their usefulness depends on choosing the right platform and verifying the information behind its conclusions.
For Indian investors, Pocketful GPT is worth exploring as an AI assistant for stock market research. Tools such as TradingView, Trendlyne, and Screener.in can complement that research with charting, screening, and fundamental data, while ChatGPT, Perplexity, and NotebookLM help explain concepts and organise information.
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Which is the best AI tool for stock market analysis in 2026?
The best AI tools really depend on what you need. For basic information and education, Chat GPT and Perplexity are great options. If you’re looking to trade or invest, Pocketful offers all the relevant information you might need.
Are there free AI tools for stock market analysis?
Some platforms offer free access or limited features, while advanced tools may require subscriptions. Pricing, usage limits, and data access vary, so check the latest plans before choosing.
Can AI help with fundamental and technical analysis?
Yes. AI assistants can explain financial ratios, summarise earnings reports, and interpret technical indicators. Dedicated platforms can provide screening, charting, alerts, and backtesting capabilities. Verify the underlying data before relying on the results.
Is AI stock analysis suitable for beginners?
Yes. AI can explain financial terminology and help beginners organise research. However, investors should also learn about valuation, diversification, financial statements, and market risks instead of relying entirely on generated answers.
Can AI tools automatically buy and sell stocks?
Some platforms support trading automation or broker integrations, but not every AI research assistant executes trades. Check the platform’s actual capabilities, applicable regulations, permissions, and risk controls before enabling automated trading.
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