You were searching for a job and now you have 2 offer letters. Job A offers you a fixed salary of Rs.60,000 per month fixed for the next five years. Job B offers Rs.55,000 per month, but gives you a guaranteed raise to Rs.65,000 per month after two years.
Which one would you opt for? Your answer shall probably depend on what you expect to happen in the future.
Investing in bonds is similar to this, when you buy a bond, you lend your money to the bond issuing entity, a company or the government. In return, the entity promises to pay you regular interest and return your initial money after a fixed period. Most bonds are identical to Job A, they pay a fixed interest rate that stays fixed for the whole period.
But what if you invest in a bond that is similar to Job B where the interest gets increased after a period of time, giving investors a pre-planned raise. Well, there is and it is known as a Step Up Bond, these bonds are designed for investors who like the idea of growing their income over time.
What is a Step-Up Bond?
A Step Up Bond is a type of bond that starts by paying a lower interest rate, but this rate increases at fixed, pre-planned times during the bond’s life. These bonds start with a lower interest rate and after a set period the interest rate automatically rises and you start to get a higher interest rate on the same invested amount.
This increase in the interest rate is pre-defined by the bond issuing entity on the day of bond issuance. The company or government issuing the bond will clearly state how often the interest rate will increase, by what percentage it will increase and a pre-decided date of rate increase.
Investors like this as the income from a step-up bond is predictable. The main reason these bonds exist is to offer some protection to investors in a world where interest rates can change. If your funds are locked into a regular bond with a 7% interest rate and new bonds are suddenly being offered at 8%, you might feel like you are missing out. A step-up bond tries to solve this problem by building those future rate hikes right into its structure in the beginning itself.
Let’s look at some numbers and understand how it works.
Suppose you invest Rs.10,000 in a 5 year step-up bond from a company called ‘Pocketful India Ltd.’. The bond’s terms are:
For the first 2 years, there would be a fixed interest rate of 6% per year.
For the next 3 years, the interest rate will “step up” to 8% per year.
Year
Your Investment (Principal)
Coupon Rate for the Year
Annual Interest You Earn
1
Rs.10,000
6.0%
Rs.600
2
Rs.10,000
6.0%
Rs.600
3
Rs.10,000
8.0% (Step-up)
Rs.800
4
Rs.10,000
8.0%
Rs.800
5
Rs.10,000
8.0%
Rs.800
End of Year 5
You get back your initial investment of Rs.10,000.
Features of Step-Up Bonds
Scheduled Increased Interests: This is the main feature of these bonds, where the interest rate increases at a pre-decided time interval, like every year or after a few years.
Fixed Maturity Date: The bond has a clear end date. This is the date when the issuer is supposed to return your principal amount.
Issuer Types: In India, step-up bonds can be issued by various entities, which includes government-backed institutions like HUDCO (Housing and Urban Development Corporation) and NHAI (National Highways Authority of India), as well as private companies like Shriram Finance or L&T Finance.
The Callable Feature: This means the issuer has the right to end the bond early and can return your principal before the maturity date. In this you get your money back, but you lose the opportunity to earn the higher interest rates you were waiting for.
Growing Income Stream: Investors earn through the increasing interest over time. This can be helpful for long-term financial planning and tackling inflation.
Increasing Interest: If you believe interest rates in the economy are going to rise in the future, a step-up bond can be a good way to make sure your invested income will also rise with time.
Calculable Returns: Even though the investment increases, it grows on a fixed schedule and investors know exactly what to expect and at what time.
Portfolio Diversification: Adding step-up bonds to your investment is a good way to diversify your fixed-income portfolio beyond regular FDs and traditional bonds.
Key Factors to Look For:
Call Risk : Call means the bond could be called back early before the expiry date. This means you might not get the desired interest rates that attracted you in the first place.
Low Initial Returns: To get the promise of higher rates later, you have to accept a lower interest rate at the beginning. This might be lower than what a regular fixed deposit or a traditional bond offers at that time.
Market Risk: If you need to sell your bond on the stock market before it matures, its price can be lower than what you paid.
Taxation in India
Like most investments, the earnings from step-up bonds are taxed. The interest you earn from the bond each year is added to your total income and taxed according to your income tax slab.
The bond issuer will usually deduct 10% tax on the interest before paying it to you. You can claim this back or adjust it when you file your income tax return. Also additionally there will be a Capital Gains Tax, this applies only if you sell the bond on the stock exchange before its maturity date. If you hold the bond for more than 12 months, any profit is a Long-Term Capital Gain (LTCG) and is taxed at 10% (without indexation). If you sell within 12 months, the profit is a Short-Term Capital Gain (STCG) and is added to your income.
Step-up bonds are a unique financial tool that offer an interesting solution for investors who want the safety of a bond but are worried about rising interest rates. These bonds provide a clear, scheduled path to a growing income. However, there is also a possibility of call risk where your predicted future income can be hampered.
By opting a step-up bond is a strategic decision based on your future needs. If you plan to earn slow rising interest rates with time then step-up bonds are best suitable for you. Make an informed choice keeping your future expectations in mind.
S.NO.
Check Out These Interesting Posts You Might Enjoy!
The biggest risk is the “call feature,”where the issuer can return your money before maturity, potentially causing you to miss out on the promised higher interest rates in the future.
Which is a better investment option, step-up bonds or fixed-rate bonds?
Step-up bonds are potentially better if you expect interest rates to rise periodically, while fixed-rate bonds are better if you expect rates to fall or stay stable. It totally depends upon your future goals.
Can initial investment be fully lost in a step-up bond?
Investors generally get the full invested amount back, if the bond is held till maturity, unless the issuer defaults (fails to pay), which is a risk with any bond. If you sell the bond before maturity, you are expected to get a lower price than what you have initially paid..
Who can issue step-up bonds in India?
They can be issued by both government-related entities (like HUDCO, NHAI) and private sector companies (like Shriram Finance, L&T Finance, and other NBFCs) to raise money from the public.
Being a trader you must have thought of getting a map that tells you where the market will go even before the day starts. In the world of intraday trading, the Central Pivot Range (CPR) is exactly that map. It is a popular tool because it helps you find the “balance zone” of the market.
Traditional pivot points usually show just one single line. But the CPR is different because it uses three lines to create a range. This makes it much more accurate for Indian traders who want to filter out small price noise in Nifty or Bank Nifty. It tells you if the day will be a fast-moving trend or a slow, boring sideways one.
Understanding the Basics of CPR
To use the CPR, first you need to know the basics. In this calculation is made using just three numbers from the previous day. The high, the low and the closing price of the stock.
Components of Central Pivot Range
The CPR indicator shows three parallel lines on your chart:
Pivot Point (P): This is the heart of the range and shows the average price of the previous day.
Bottom Central Pivot (BC): This is the lower boundary that often acts as the first support floor.
Top Central Pivot (TC): This is the upper boundary that acts as the first resistance ceiling.
Formula Used to Calculate CPR
You don’t need to be a math expert to figure these out. Most trading platforms do it for you, but here is the simple logic behind them:
Pivot (P) = (Previous Day High + Low + Close) / 3.
Bottom Central (BC) = (Previous Day High + Low) / 2.
Top Central (TC) = (Pivot – BC) + Pivot.
The CPR levels are like a summary of the last day between buyers and sellers. Generally small traders like this tool because the market usually respects these levels like invisible walls.
Identifying the trend is your first job as a trader. If the price stays above the TC line, we call it an uptrend. If it stays below the BC line, it is a downtrend. Sometimes an opening inside the range shows that traders are confused and waiting for a reason to move.
Since CPR levels are fixed before the market opens, they don’t change and it removes the guesswork. It saves you time because the key zones are already there. It also tells you exactly where to put a stop loss to protect your hard earned money.
Types of CPR and Their Meaning
The way the CPR looks on your chart can tell you a lot about what might happen next.
1. Narrow CPR
When the three lines are very close to each other, we call it a Narrow CPR. This happens when the market didn’t move much yesterday. It is like spring being compressed, it is likely to explode into a big trend or break out today.
2. Wide CPR
If the lines are far apart, it is a Wide CPR. This usually follows a day that already had a huge move. Today, the market might be tired and prefer to stay sideways. On these days, “reversal trading” works better than “breakout trading”.
3. Expanding vs. Contracting CPR
We also look at the “cycle” of volatility. Expanding CPR is wider than yesterday, showing that the market is getting more active. A Contracting CPR is narrower, showing that the market is calming down before the next big move.
4. Virgin CPR Explained
A Virgin CPR happens when the price never touches the CPR lines at all during the day. These untouched levels act as very strong support or resistance for the next few days. If the price comes back to these levels later, expect a sharp bounce.
Here are four ways you can use these levels to plan your trades.
1. CPR Breakout Strategy
This strategy is most effective on “Narrow CPR” days. Imagine the CPR lines (TC and BC) as a squeezed spring. When the lines are very close together, it means the market has been quiet and is planning for a big move.
When you see the CPR lines are narrow, keep a close eye on the price. If a candle forcefully breaks and closes above the Top Central (TC) line with a jump in trading volume, it shows buyers are in control, meaning you should sell during such situations.
Conversely, if the price breaks and closes below the Bottom Central (BC) line on high volume, it shows sellers are taking over, meaning you should sell during such situations.
Being an investor you should always wait for that “confirmation” candle to close outside the range. And do not jump in just because the price touched the line, a full close proves that the momentum is real.
2. CPR Reversal Strategy
This strategy works best on “Wide CPR” days, meaning when the TC and BC lines are apart the market usually lacks the energy to break through them. Instead of trying to ride a big trend, we look to “bounce” off the lines.
Think of the CPR lines as invisible walls, when the price rises and hits the TC line but struggles to go higher (showing signs of weakness, like a small candle or a “wick” on top), it is a great time to go short (sell), expecting it to bounce back down.
And if the price falls and hits the BC line but starts to “bounce” or show strength, it is a perfect time to go long (buy), expecting it to climb back up.
3. Virgin CPR Strategy
A “Virgin CPR” occurs when the price does not touch the CPR levels (TC, Pivot, or BC) at all during the entire trading day. The market left a gap in its history, and it often wants to come back to fill it.
If you notice a CPR level from a previous day that the price never touched, mark it clearly on your chart. Even days or weeks later, when the price finally returns to that specific level, it often reacts strongly.
When the price reaches a Virgin CPR zone, it acts like a magnet, and many traders prepare for a reversal, making it one of the most reliable and high-probability setups in intraday trading.
4. Gap Up and Gap Down Strategy
Sometimes, the market opens significantly higher or lower than the previous day’s closing price. This creates a “gap.” The CPR levels help us understand how to trade these gaps.
If the market opens high, well above the TC line, that TC line now acts as a “Floor” (Support). If the price dips down to test the TC line and fails to break it, you can look for a buy signal, betting that the price will continue its upward journey.
If the market opens way below the BC line, that BC line now acts as a “Ceiling” (Resistance). If the price rallies up to touch the BC line and struggles to push past it, you can look for a sell signal, betting that the price will drop back down.
How to Read Market Trends Using CPR
By looking at the CPR over a few days, you can see the bigger picture.
Bullish Structure: If today’s CPR is higher than yesterday’s, the market is in a healthy uptrend.
Bearish Structure: If today’s CPR is lower than yesterday’s, the sellers are in control.
Sideways Market: If the CPR stays at the same level for a few days, the market is just waiting for a catalyst.
Trend Reversal: If an uptrending market suddenly closes below the BC, it is a warning that the trend might be flipping.
Risk Management in CPR Trading
Even the best strategy can fail without a plan to protect your money.
Importance of Stop Loss: A stop loss is like a seatbelt. If you buy at a breakout above the TC, you can place your stop loss below the Pivot or BC line. Here if the trade goes wrong you will only lose a small amount.
Position Sizing: Always diversify your investments, the best rule is to risk only 1% or 2% of the total invested amount on a single trade. This helps in mitigating the risk.
Risk-to-Reward Ratio: Always aim to make more than you risk. A ratio of 1:2 is a good benchmark. If you are risking Rs.1000, you should aim to make at least Rs.2000.
Avoiding Overtrading: CPR tells you when to sit out. If the price is stuck between the TC and BC, it is often better to wait. Trading every small move is a quick way to lose money to brokerage fees.
Common Mistakes to Avoid
Many new traders make these mistakes when starting with CPR:
Trading Without Confirmation: Don’t jump in just because the price touched a line. Wait for a candle to close for confirmation.
Ignoring the Main Trend: If the daily trend is down, avoid taking bullish breakouts on the 5 minute chart.
Using CPR Alone: It works best when you also look at volume or other indicators like RSI.
Trading in Low Volume: Mid-day markets (12 PM to 1:30 PM) are often slow and produce false signals.
Best Markets for CPR Trading
You can use the CPR across different parts of the Indian market:
Equity Intraday: Great for liquid stocks like Reliance or TCS.
Index Trading: Nifty and Bank Nifty respect CPR levels very well.
Options Trading: Use CPR levels to pick the right strike prices for selling puts or buying calls.
The Central Pivot Range is a fantastic tool for any Indian intraday trader. It gives you a clear structure and helps you manage your risk. While it won’t make you a millionaire overnight, it will definitely make you a more disciplined and logical trader. Practice using it on Nifty and Bank Nifty charts, and you will soon see how the market respects these key levels.
For more market news and insights, download Pocketful – offering users zero brokerage on delivery trades and an easy to use platform designed for both beginners and experienced investors.
S.NO.
Check Out These Interesting Posts You Might Enjoy!
Most day traders find CPR better because it provides a “zone” rather than just a single line, which is more accurate for finding support and resistance.
What is the best timeframe for CPR?
For intraday trading in India, the 5-minute and 15-minute timeframes are the most popular choices.
Does it work for Bank Nifty options?
Yes, it is very effective for Bank Nifty as it helps you identify reversal points for buying or selling options.
Can beginners use this?
Absolutely. It is one of the easiest indicators to learn because it gives you fixed levels that don’t change during the day.
Do I need to recalculate it every day?
Yes, because it is based on the previous day’s data, the levels will be different for every new trading session.
In the world of trading, speed and accuracy play a vital role; they can make a huge difference between profits and losses. With the introduction of SEBI regulations on Algo Trading, the trading landscape has changed significantly. Orders nowadays are placed in a fraction of a second, based on predefined strategies.
In today’s blog post, we will give you an overview of algorithmic trading along with its benefits and challenges.
Meaning of Algo Trading
Algo Trading is a process in which computer programs execute trades automatically. These algorithm programs follow pre-defined rules based on various factors such as volume, prices, etc. It offers emotion-free trading without human intervention. Algorithm trading is commonly used by hedge fund managers, institutional investors, etc.
How Does Algo Trading Work?
The entire Algo Trading mechanism can be divided into five parts. The details of which are as follows:
Defining Strategy: In this step, the trader defines the trading strategies based on certain rules, such as technical indicators, price movement, volumes, etc.
Creation of Algo: Once the strategy is formulated, then it is converted into computer programs using computer languages like Python, R, etc.
Testing: Before trading on the strategy, it is suggested to test it on historical data, as this backtesting of data can help in refining the strategy.
Execution: Once the strategy is finalised, it can be placed in the trading system, and orders can be executed based on it.
Monitoring: Continuous monitoring of the trading strategy is required, as they are required to be modified based on changing market dynamics.
SEBI’s Regulatory Framework for Algo Trading in India
The SEBI’s regulatory framework for Algo Trading is as follows:
Approval: All broker-deployed or exchange-integrated APIs must receive prior approval from the exchange. Brokers submit their strategies for review and certification.
Testing by Exchange: Stock exchanges conduct mock trading sessions for such strategies to ensure these strategies work under different market conditions.
Allotment of Unique Algo ID: Once the strategies are approved by the exchange, they provide a unique identification number known as the unique Algo ID.
Risk Management: SEBI has defined various risk management tools to monitor the risk associated with Algo Trading.
Audit: Brokers and investors are required to maintain detailed logs of trades as per the compliance laid down by SEBI. These logs are necessary at the time of the audit of brokers.
Key Milestones by SEBI
The key milestones achieved by SEBI in Algo Trading are as follows:
Introduction of Concept: In 2008, the SEBI first introduced the concept of Algo Trading for institutional investors.
Official Launch: In 2012, the SEBI introduced broad guidelines on Algorithmic Trading.
Location Guidelines: The NSE introduced co-location in 2009; SEBI later established norms to ensure equal and fair access.
Algo ID: In 2022, SEBI directed the exchanges to assign a unique Algo ID for approved algorithms. This regulation increases the participation of retail investors.
The key benefits of Algo Trading in India are as follows:
Speed: The key benefit of Algo Trading is that it can execute orders in milliseconds. This can help in capturing short-term price movement.
No Human Emotion: Algorithmic trading eliminates human emotions during trading. It works only on logic and data.
Accuracy: As the trades are executed based only on data, it increases the chance of profit and minimizes the chances of errors.
Increasing Liquidity: As the orders are executed in a short time frame, it increases the market liquidity and reduces the bid-ask spread.
Challenges and Misconceptions in Algorithmic Trading
The common misconceptions and challenges in Algorithmic Trading are as follows:
High Setup Cost: Using an advanced algorithm trading system requires advanced trading technologies and skilled programmers, which can be costly for new investors.
Market Volatility: Algo trading strategies react immediately to rapid changes in market dynamics; hence, it can sometimes lead to unintended chain reactions.
Guarantees Profit: There is a general misconception among traders that using an algorithm for trading guarantees profits. However, some poorly defined algorithm strategies can lead to huge losses.
Lack of Human Intervention: There are various market events in which human interventions are required, but the Algo Trading System lacks human intervention.
On a concluding note, with the introduction of Algo Trading by SEBI in 2012, the trading landscape has changed significantly in terms of speed, accuracy and volume. It helps a trader in eliminating emotional biases and executing trades based only on data and logic. Algo platforms execute trades in milliseconds, which captures the small price movements. SEBI is also working aggressively to strengthen the regulatory framework related to Algo Trading in India. However, Algo Trading also carries certain risks; therefore, it is advisable to consult your investment advisor before executing any Algo Trade.
Can a retail investor in India trade using algorithmic strategies?
Yes, a retail investor in India can use algorithmic trading strategies through a registered broker offering automated trading tools.
Does the algorithm trading increase the market volatility?
Yes, as the algorithm trading can execute a large number of orders in a fraction of the time. Hence, it increases the market liquidity and narrows the difference between bid and ask prices.
Can an algorithm trade guarantee profits?
No, algorithmic trading does not guarantee profits; the success of algorithmic trading depends on the strategy it follows.
Does Algo Trading allow backtesting of strategies?
Yes, algorithmic trading allows backtesting of strategies based on historical market data, and based on this, you can modify your trading strategies.
What is algo trading?
Algo trading is a mode of executing trades in the capital market, based on pre-defined strategies. It automatically executes buy or sell orders based on various factors such as price, timing, volume, etc.
When people hear the term Algo Trading, most people think of it as something that’s only for big companies and professional traders. Some consider it so complicated that they back off before even trying it. But the reality is that today, in 2025, technology and new SEBI regulations have made it easier for everyone. Now, even retail traders can automate their trading with the help of free APIs and no-code platforms. In this blog, we’ll debunk these Algo Trading myths with the truth.
What Exactly Is Algo Trading?
Algo Trading, or Algorithmic Trading, is a method in which trading decisions are made by a system based on predetermined rules and logic, rather than by humans. These rules include price, volume, time, and other market indicators. Its primary purpose is to make trading fast, accurate, and emotion-free, so that every decision is based on data, not guesswork.
How It Works
Algo Trading isn’t difficult to understand. The entire process involves a few simple steps:
Developing a strategy : First, a trader uses their own thinking and experience to establish a rule, such as buying or selling at a certain price level.
Building the system : This rule is set up in the system as code or logic.
Connecting to the API : The system connects to brokers’ APIs (such as Pocketful, Zerodha, Dhan, etc.) to access live market data.
Backtesting : Before running the strategy in the real market, the same strategy is tested on historical data to determine its performance.
Live running : When the strategy is successful in testing, the system uses it in real trading.
Monitoring : The trader continuously monitors whether the system is trading correctly and makes changes if necessary.
Myth 1: Algo Trading is only for large institutions
The Myth : Many people believe that Algo Trading is only for large fund houses, institutional investors, or hedge funds. They believe it requires significant capital, complex coding, and expensive servers. This is why many retail traders still shy away, believing that this technology is not for them.
The Reality : This thinking is now outdated. In 2025, Algo Trading will become simpler, more accessible, and more affordable than ever before. Today, even retail investors can easily start API-based trading without any complicated setup or large capital. Platforms like Pocketful have bridged this gap. Here, you can start automated trading by opening a Zero AMC Account and generating your own API in just a few minutes.
Step-by-Step Procedure to Start Algo Trading
Step
Description
1
Open a Free Account on Pocketful (Zero AMC)
2
Generate API by going to the dashboard
3
Connect your strategy to any Algo platform
4
Backtest and then deploy in Live Mode
5
Monitor your algorithm and optimize as needed.
Example : Let’s say you have ₹10,000 in capital and trade manually every day. By connecting to Pocketful’s API, you can automate your strategy such as “buy when the price rises above a certain level, sell when it falls below.” You no longer need to sit in front of the market; the system will automatically trade according to its rules.
Myth 2: Algo Trading requires coding or Programming skills
The Myth : Many new traders think they need to be proficient in Python or another programming language before they can start Algo Trading. This belief is so common that many people give up before even trying to learn. They believe that automated trading is impossible without coding.
The Reality : The truth is that knowing how to code is no longer necessary. There are many no-code and low-code platforms available today, where you can automate your trading strategy without writing a single line of code. Tools like the Pocketful API allow you to easily connect your trading logic to an Algo platform. There, you simply set conditions like, “Buy if the price goes above the support level, sell if it goes below.” The execution system handles the rest.
Example : Suppose you’re a retail trader with no programming knowledge. You activate Pocketful’s API, connect it to an algo platform, and enter your simple logic “If Nifty falls 1%, sell.”
Now, when the same market conditions arise, the system will automatically execute the trade without coding, without any technical hassle.
Algo Trading relies on thinking and strategy, not coding. Traders who intelligently craft their logic consistently outperform. Coding is now an option, not a necessity.
Myth 3: Algo Trading Always Leads to Profits
The Myth : Many traders assume that applying algorithms to trading will eliminate the possibility of losses. They believe that machines are more accurate than humans, so Algo Trading means “profit every time.” This belief is one of the most common and dangerous Algo Trading myths.
The Reality : Algo Trading is not a magic tool. It simply executes your strategy in a disciplined and emotion-free manner. If your strategy is incorrect or incomplete, the algorithm will produce the same results. Market conditions constantly change; the same logic doesn’t work all the time. Therefore, it’s important to constantly backtest, optimize, and review any strategy.
Furthermore, slippage, latency, and sudden market events (such as RBI policy announcements or geopolitical news) also impact performance. Therefore, an algorithm simply means automation, not a guarantee of profit.
Example : Suppose you’ve created a momentum-based algorithm that buys when the price rises. When the market is trending, it works very well. But when the market goes sideways, the same algorithm starts taking entries on incorrect signals, leading to losses. Therefore, it’s important to periodically refine the algorithm and optimize it according to changing market conditions.
The advantage of algo trading is that it brings discipline, but not certainty. Profit or loss depends on the quality of your strategy, market conditions, and risk management. A successful trader is one who constantly understands, tests, and improves their algorithm.
Myth 4: Algo Trading Requires a Lot of Money
The Myth : Most people believe that Algo Trading requires significant capital, an expensive setup, and numerous technical tools. They believe it’s only for those with millions of rupees in capital and high-end computer systems. This perception scares small traders away from even getting started.
The Reality : This is no longer the case. Today, in 2025, Algo Trading has become cheaper and easier than ever before. No longer does anyone need expensive servers or heavy software. On platforms like Pocketful, you can open a Zero AMC account and generate your own API for free. This API connects your trading to any Algo platform, allowing you to automate your strategy without significant capital. Cloud-based servers are now available for ₹300–₹500 per month, allowing even retail traders to take advantage of the automation.
Example : Let’s say you have just ₹5,000 or ₹10,000 in capital. You open an account on Pocketful, create an API, and set up your trading logic on a platform like Vertex. The system will now execute trades for you every day based on that logic, at no extra cost. This process is as cheap and easy as trading on a mobile app.
Myth 5: Once set up, Algo Trading “runs automatically”
The Myth : Many people believe that once they’ve set up Algo Trading, they don’t have to do anything; the system will automatically trade continuously, make money, and take care of everything. This is a “set it and forget it” approach. This thinking is a major misconception, often leading to losses for new traders.
The Reality : Many people believe that once they’ve set up Algo Trading, they don’t have to do anything; the system will automatically trade continuously, make money, and take care of everything. This is a “set it and forget it” approach. This thinking is a major misconception, often leading to losses for new traders.
Example : Suppose you’ve created a strategy that auto-trades Nifty futures twice a day.
One day, if the internet suddenly goes down or there’s a brief API glitch, your order could be delayed.
If you’re monitoring, you can immediately stop or correct it.
But if you leave the system completely unattended, that same delay could lead to losses.
Myth 6: Algo Trading is Completely Illegal in India
The Myth : Many people still believe that algo trading in India is against SEBI or exchange regulations.
The belief is widespread on social media and old forums that if a trader executes automated orders, their account may be blocked or they may face fines.
This fear keeps many new investors away from this modern technology.
The Reality : In fact, algo trading is completely legal in India provided you do it within the guidelines set by SEBI. SEBI already permitted API-based trading in 2022, and now every authorized broker is required to provide verified API access to its registered users.
This means that if you use the API of a recognized platform and execute your own strategy, it is considered completely compliant. Its purpose is to maintain market transparency and control, ensuring that no unregulated bot or auto-buy/sell script operates without oversight.
Example : Let’s say you’re running your strategy through a recognized API.
The system records every order associated with your name and client ID and verifies it within SEBI’s risk framework. If there’s a mistake or error, the order is immediately rejected or paused; this control is what makes it completely legal.
Myth 7: Algo Trading and High-Frequency Trading (HFT) are the same thing
The Myth : Many people believe that Algo Trading and High-Frequency Trading (HFT) are the same thing. According to them, each algorithm places millions of orders per second, and that’s why institutions control the market. This thinking is wrong and this misconception keeps many retail traders away from Algo Trading.
The Reality : In fact, Algo Trading and HFT are two different technologies. Both use algorithms, but the purpose and scale are completely different. Algo Trading refers to automated trading based on predefined logic, which can be performed by any trader, retail or professional. High-Frequency Trading (HFT) occurs at the institutional level, executing millions of orders in microseconds. This requires ultra-fast connectivity and co-location servers, which ordinary investors do not have.
Comparison
Aspect
Algo Trading
High-Frequency Trading (HFT)
User
Retail and Institutional Traders
Institutional Firms Only
Execution Speed
Milliseconds to Seconds
Microseconds
Cost
Cost-effective (Cloud or API)
Very expensive (Dedicated Servers)
Objective
Logical Automation
Speed-Based Arbitrage
Access
For everyone
Limited, under regulatory control
Example : Suppose you’ve created a strategy that trades the Nifty index based on RSI and moving averages. This strategy executes trades two or three times a day—this is Algo Trading.
Now a large firm is executing arbitrage trades in microseconds from a co-location server at NSE—this is HFT. Both have different objectives and are not substitutes for each other.
Myth 8: Algorithms are smarter than humans
The Myth: Many people believe that once an algorithm is created, it becomes smarter than humans and will make the right decision in every situation. They believe that machines are free from emotions and therefore can never make mistakes. This thinking leads many traders to blindly trust them, and this is where the mistakes begin.
The Reality : An algorithm is certainly fast, but not “smart.” It only does what you teach it, no more or less. If your rules are incomplete or market conditions suddenly change, even an algorithm can make the wrong trade. Machines can read data, but they don’t understand context. For example, if there is a major economic change in the budget one day, the algorithm may take a trade in the wrong direction based on past data. Therefore, human decisions and market sense are always essential. A successful trader is one who trusts the algorithm but monitors the final decision.
Example : Suppose your algorithm is based on a trend-following strategy. It consistently buys at rising prices. One day, the government suddenly implements a new tax rule, and the market immediately reverses. The algorithm places an order in the previous direction, resulting in a loss. If you had monitored it, you could have prevented it.
Myth 9: If a strategy is successful in backtesting, it will yield similar profits in the live market.
The Myth : Many new traders think that if their strategy performs well in backtesting, they will achieve the same results in the live market. For them, backtesting means “final approval,” meaning that if the strategy showed a profit on past data, it will always work. But the reality is quite different. The Reality : Backtesting is an initial test of any strategy, not a guarantee of success. Because conditions in live markets are constantly changing, many factors such as volatility, slippage, liquidity, internet delays, and human intervention affect results. Sometimes, traders optimize a strategy so much that it only performs well on past data; this is called curve fitting. Such strategies fail in real-time because they aren’t prepared for changing conditions. Therefore, successful algo traders always conduct forward testing and paper trading to verify the strategy in live conditions. Example : Suppose you created a breakout strategy that consistently showed profits based on the past three years of data. But when you deployed it in the live market, false breakouts began occurring, and the strategy went into losses. The reason is simple: market behavior changed, but the strategy remained the same.
Myth 10: Complex Algorithms Are Always More Profitable
The Myth : Many traders believe that the more complex a strategy, the greater the profit.
They think that by adding a lot of indicators, ratios, and conditions to an algorithm, it will work perfectly in every market situation.
This is why many beginners waste both time and money creating unnecessarily complex systems.
The Reality : In the trading world, complexity doesn’t always mean efficiency.
In fact, the more conditions you add, the more your algorithm is prone to “curve fitting.” Such strategies may produce excellent results on historical data, but fail in the real market because they lose flexibility. The most stable and successful strategies are often simple ones, such as trend-following, momentum, or mean-reversion, which have fewer indicators and clear logic.
Simple systems are easier to understand, maintain, and optimize.
Example : Let’s say you’ve created an algorithm that incorporates RSI, MACD, Bollinger Bands, EMA crossovers, and five other filters. This strategy produces excellent results in backtesting, but when you run it live, performance drops due to lag and conflicting signals. In contrast, a simple moving average-based strategy works consistently because its logic is clear and stable.
The Myth: Many people think that when the system is trading automatically, there’s no need to worry about risk. They believe that the algorithm can handle every situation and prevent losses. This thinking is extremely dangerous, because automation doesn’t mean “risk-free.”
The Reality: Every strategy, whether manual or automated, comes with risks.
An algorithm does what it’s told. If you don’t include risk-control parameters, it can even increase losses. Therefore, it’s important to include rules like stop-loss, maximum drawdown limit, and position sizing in every algorithm. Furthermore, it’s wise to include emergency halt (kill switch) or circuit-breaker logic so that the system can stop itself in case of an unexpected situation.
Example: Suppose your strategy involves intraday scalping and you forget to set a stop-loss. If the market suddenly reverses, the algorithm will continue to take trades, increasing losses. However, if a risk limit is set in the system, it will automatically close at the set loss.
Myth 12: Algo Trading is Only in Equities
The Myth: Many traders believe that Algo Trading is limited to the stock market or the equity segment. According to them, it is not applicable in derivatives, commodities, or forex.
The Reality: Today, Algo Trading is used in almost every segment—equities, futures, options, commodities, and currencies. Trading APIs and cloud-based systems have made multi-segment trading much easier. Now, you can automate trades in Nifty futures, gold contracts, or USD-INR pairs from a single system.
Example: An options trader can automate their strategy—such as, “If Nifty goes up 1%, close a short straddle.” Or a commodity trader can set up auto-entries at moving average crossovers in gold futures.
Myth 13: Algo Trading Requires Expensive Data Feeds
The Myth: Many people believe that algo trading requires high-speed and expensive data feeds, which only large institutions have access to. Because of this, retail traders think they can’t perform well without accurate data.
The Reality: Today, almost all registered brokers in India offer real-time market data APIs to their clients at a very low cost. Furthermore, cloud platforms come with pre-integrated data connections, eliminating the need for a heavy subscription. Historical data is also now easily available online, making backtesting and analysis easier than ever.
Example: A retail trader can run a daily strategy by pulling intraday prices and volume data from their broker’s basic data API. They don’t need an institutional-grade feed; just reliable internet and a stable platform are sufficient.
Myth 14: Algo Trading Means Zero Emotional Involvement
The Myth: Many traders think that emotions have no place in Algo Trading and that once automation is introduced, the role of humans is eliminated.
They believe that factors like fear, greed, or patience no longer matter.
The Reality: Although Algo Trading reduces emotional errors, the role of humans does not disappear. Behind every strategy lies a trader’s thinking, logic, and judgment.
The algorithm only executes what the human tells it. If the trader changes their strategy or stops early in panic, those same emotions also affect the automation.
Example: Sometimes a trader believes the market will move in the opposite direction and shuts down the system mid-trade, even though the system’s logic is still valid. In such cases, it is human emotion that causes the loss, not the algorithm.
Myth 15: Algo Trading will completely replace humans
The Myth : Some people believe that in the future, the need for human traders will disappear and algorithms and AI will take over. This fear is especially prevalent among traditional traders, who believe that automation will take over their jobs.
The Reality: Algo Trading doesn’t replace humans, but rather empowers them. Machines are fast, but they lack judgment, creativity, and adaptability. When a market event occurs, such as a policy change, a geopolitical crisis, or an emotional panic, only humans can make the right decisions. In fact, the world’s most successful funds adopt a human-machine approach, where logic is based on automation. It is based on data, but the direction is determined by humans.
Example: Suppose geopolitical tensions increase in the global market one day. The algorithm takes normal trades based on historical data, but an experienced trader immediately stops the strategy and saves capital. This is the difference between humans and machines.
Conclusion: The future of Algo Trading is not “machine vs. human,” but “machine with human.” The trader who balances both will be the real winner in the future.
Ultimately, Algo Trading isn’t magic, but rather a clever tool. It frees you from emotions and brings discipline and precision, but success still depends on human thinking, strategy, and control. Technology helps the decision is still yours.
S.NO.
Check Out These Interesting Posts You Might Enjoy!
When a company shares profits with its investors, it’s called a “dividend.” But the tax on this dividend has always been a bit confusing for many. Dividend Distribution Tax is a tax that companies previously paid to the government before distributing dividends to investors. This tax reduced investors’ actual earnings. Later, the government made changes to the tax system to make it simpler and more transparent. In this blog, we’ll understand what dividend distribution tax is, how it works, and its impact on investors.
What Is Dividend Distribution Tax (DDT)?
When a company distributes a portion of its profits to its investors, it’s called a dividend. However, before this dividend could reach investors, a tax had to be paid called the Dividend Distribution Tax (DDT). This meant that even after paying taxes on its earnings, the company had to pay another tax to the government before distributing the dividend. This kept the tax burden directly on the company, but the impact fell on investors’ pockets.
How was DDT implemented?
Dividend Distribution Tax was implemented under Section 115-O of the Income Tax Act, 1961. Under this rule, whenever a company decided to pay a dividend to its shareholders, it had to first deposit this tax with the government. The company had to make this payment within 14 days. This means that the company could not transfer the dividend until the tax was paid. This system made tax collection easier for the government, but imposed an additional financial responsibility on companies.
Key Features of DDT
Legal Basis : DDT was implemented under Section 115-O of the Income Tax Act, 1961.
Tax Payer : This tax was paid by companies or mutual funds, not investors.
Applicable Area : Only domestic companies and mutual funds distributing dividends.
Payment Deadline : Taxes were required to be paid within 14 days of the declaration or payment of dividends.
Indirect Impact : Investors were not required to pay taxes directly, but received the dividend amount only after tax deductions.
Main Objective : Simplify tax collection and stabilize government revenues.
Whenever a company wanted to pay a dividend to its shareholders, it first had to determine how much tax it would have to pay to the government on that amount. Corporate Dividend Tax was calculated using the “Gross-up Method.
Example : Suppose a company declared a dividend of ₹100,000. According to the tax calculation, the investor should receive ₹100,000 after the company pays taxes on this amount. Therefore, the tax calculation was as follows
Description
Calculation
Amount (₹)
Dividend declared (receivable by the investor)
–
1,00,000
Tax Rate
–
15%
Grossed-up Base
1,00,000 ÷ (1 − 0.15)
1,17,647
Dividend Distribution Tax (DDT)
1,17,647 − 1,00,000
17,647
total company expenses
Dividend declared + DDT
1,17,647
Dividend Distribution Tax Rate in India – Historical Timeline
Dividend Distribution Tax (DDT) was first introduced in India in 1997. At that time, the tax rate was set at 10%. Its purpose was to simplify the tax process on dividend income so that the tax could be collected directly at the company level.
Evolution of Rates
Year/Period
Nature of Change
1997–2000
First time application rate 10%
2000–2002
DDT abolished
2003–2006
DDT reintroduced, rate increased
2007–2015
Rate increased to 15% (surcharge and cess exclusive)
The Abolition of Dividend Distribution Tax in 2020
The government has implemented a major reform of the dividend tax system, completely eliminating the Dividend Distribution Tax (DDT). Previously, this tax was paid by companies, leading to double taxation once on company profits and again when dividends were distributed. It was removed to reduce this burden and make the tax structure more equitable.
How does the new system work?
Companies no longer have to pay any tax when they pay dividends.
Instead, the dividend received by an investor is considered part of their total income.
It is now taxed according to the investor’s income tax slab rate.
This change reduced the tax burden on companies and shifted the tax responsibility to the investor.
The company used to pay tax (Dividend Distribution Tax)
Now the investor pays tax as per his income tax slab
Tax rate structure
Effective rate
Slab rates vary according to income
Tax deduction process
The company used to pay DDT before paying a dividend.
TDS is deducted on dividends above ₹5,000
double taxation
Yes, indirect impact on both the company and investors
No, tax is now levied only on the investor’s income
Impact on foreign investors
Disadvantageous because tax credits could not be claimed
Beneficial, now tax credits can be claimed easily
Impact on the company’s cash position
Tax burden on the company, which reduced cash flow
Reduced tax burden, dividend policy becomes more flexible
Transparency of the system
Limited, as the tax would stop at the company level
More transparent, as taxes are directly reflected in investor income
Conclusion
Previously, the dividend tax system was a bit complicated. Companies paid the tax, while investors’ earnings were also reduced. When the government removed this, the entire structure became simpler and more transparent. Now, the tax is levied where the income is earned, in the hands of the investor. This reduced pressure on companies and provided greater clarity to investors. Overall, this change proved to be a correct and necessary step for the market.
S.NO.
Check Out These Interesting Posts You Might Enjoy!
Financial Data of a company plays a key role for an investor willing to invest in a company. And in case a company is going public for the first time, DHRP plays a key role for them to analyse the company. However, with the recent introduction of Confidential Pre-filing DHRP, the general public does not get insight into the company’s key financial data.
In today’s blog, we will introduce a concept called “Confidential IPO Filing” by a company, along with its key benefits and risks.
Meaning of Confidential IPO Filing
A confidential IPO Filing is a process in which a company submits its IPO document, known as the Draft Red Herring Prospectus, to the Securities and Exchange Board of India. But this filing is not made public. This process allows the company to evaluate the feedback from the regulating authorities. This is a part of the pre-IPO process.
How Does the Confidential IPO Process Work?
The working of the Confidential IPO is mentioned below:
Appointing Merchant Banker: Appointment of a merchant banker or lead manager is the first step towards the IPO filing process. They help in preparing the draft red hearing prospectus (DRHP).
Submission of DRHP: Once the merchant banker prepares the DRHP then it must be filed with the SEBI without disclosing the details to the public. This document carries key parameters of the company’s financial ratios, business model, etc.
Review by SEBI: After the documents are submitted to SEBI, they will be reviewed by SEBI. And if there are any observations, they will be made to the merchant banker and the company.
Revised DRHP: In case of any observation by the SEBI, it will be rectified on an immediate basis, and the revised DRHP will be filed with SEBI.
Public Issue: Once the DRHP is approved by the SEBI, then the company is ready to go ahead with its public issue and can make a public announcement of its issue.
Listing: As soon as the IPO allotment process is completed, the company can get its shares listed on the exchanges.
Difference Between Confidential and Traditional IPO Filing
The key differences between confidential and traditional IPO filings are as follows:
Particular
Confidential IPO Filing
Traditional IPO Filing
Filing
The IPO filing is done privately.The company files a public version later, after addressing SEBI’s comments.
The IPO is filed publicly, and every investor gets to know about the details. All details are visible to investors from day one.
Flexible
It offers great flexibility. The company can delay or modify the IPO.
Any withdrawal of the IPO by the company comes to the knowledge of the public and can impact the company’s reputation significantly.
Speculation
This can avoid speculation by the public, as early details are not available.
Because of the availability of early IPO details, the chances of speculation related to the grey market premium will increase.
Suitability
The confidential IPO filing is suitable for micro, small, and medium-scale companies.
These types of IPOs are generally opted for by large companies.
Information
The chances of getting the details are very low, since the filings are not disclosed publicly.
All financial, operational, and risk disclosures are public from the start, open to competitors and the media.
Benefits of Confidential IPO Filing
The key benefits of confidential IPO filing are as follows:
Privacy: Through a confidential IPO filing, the companies can keep their important data private at the early stage of the IPO process. This can help them avoid getting unwanted attention from the competitors.
Improve Final Draft: Confidential IPO filing helps in making necessary corrections before making the issue public.
Less Media Coverage: Companies can easily prepare for their public issue without worrying about the media coverage, market speculations, etc.
There are significant risks related to Confidential IPO filing for the companies, a few of which are mentioned below:
Lack of Investors’ Feedback: Due to the limited availability of information, the investors’ feedback is not available to the company.
Risk of Insider Trading: Although SEBI mandates strict confidentiality, sensitive details shared with intermediaries like merchant bankers or auditors could still be at minor risk of misuse.
Trust: Because of secrecy, it can sometimes lead to the creation of a perception among the investors that the company is hiding something.
Is a Confidential IPO Filing Allowed in India?
Yes, the Confidential IPO filing is allowed in India according to the regulations specified by the Securities and Exchange Board of India (SEBI) in November 2022. The regulations are defined under “Pre-Filling of Offer Document”. According to this regulation, a company can submit their draft document to SEBI without making it public.
On a concluding note, through Confidential IPO Filing, companies can smartly go public. They can file their IPO documents with SEBI without letting the public be aware of it. It allows the company’s management to fine-tune the errors in the IPO document without having any impact on its reputation. This mechanism was introduced by SEBI in November 2022. However, this IPO filing benefits the company directly; along with this, it also carries certain disadvantages for them. Hence, an investor should consult their investment advisor before making any investment in an IPO and go through their prospectus.
S.NO.
Check Out These Interesting Posts You Might Enjoy!
Yes, a confidential IPO filing is allowed in India after it was introduced by SEBI in 2022.
Who can opt for confidential IPOs?
Confidential IPOs can be filed by any company. However, they are generally filed by companies in the IT and pharma sectors.
When does an investor get to know about the confidential IPO filed by a company?
When the company launches their marketing campaign about the IPO after incorporating the regulatory feedback from the SEBI. The general investor or public gets to know about it.
Can a company withdraw their IPO after its filing with SEBI?
Yes, a company can easily withdraw their IPO after its initial filing with SEBI. This step is generally taken by the company when they think market conditions are not favourable or require significant changes.
Can an investor have access to the Pre-filing DHRP of a company filing a Confidential IPO?
No, an investor does not have any access to the Pre-filing DRHP of a company filing it confidentially. They are reviewed by the SEBI privately.
When it comes to trading, it is not just about selecting the right stocks. But it is also about selecting the right trading strategy so that you can earn more. This is where algorithmic trading comes into play. Allowing you to trade using the computer softwares, it allows you to earn better. Also, it avoids the chances of missing small opportunities.
In fact, in the past few years, algorithmic trading in India has grown rapidly. It is more common these days. People are able to trade with no need for constant checks. This saves time and ensures better results for starters as well.
But do you know how you start algo trades? Well, if you are also looking for the answer, read this guide. Know how to do algo trading and all the details you need here in this guide.
What Is Algorithmic Trading?
Algorithmic trading is simply using computer programs. It uses proper strategies with algorithm analysis to make trade calls. This is valid for the buy and sell . You can use it in the stock market easily and save time. It’s fast, disciplined, and helps you trade without letting emotions take over.
Key Features
Automatic Execution: Set the rules once, check, and get going ahead.
Data-Driven Decisions: Say yes to logic and facts and no to guesswork.
High Speed: Algorithms react to market changes within milliseconds.
Error-Free Trading: Reduces mistakes that usually come with manual trading.
24/7 Monitoring: Keep an eye on markets even when you are not online.
Customisable Strategies: Design your strategies based on what you need.
Step-by-Step Guide to Starting Algorithmic Trading
Getting started with algorithmic trading may sound technical at first. But this is not true. You need to start with logic. Once you know, you can start with algo trading easily.
Here’s how to begin your journey into algorithmic trading in India in a simple, structured way.
Step 1: Learn the Basics
Every great trader starts with the fundamentals. The same is applicable when you start algo. Learn how markets move, what triggers price changes, and how trading instruments work. You should understand market orders, stop loss, indicators, and strategy design.
Ensure that you check the SEBI rules for algorithmic trading. This means margin requirements, trade limits, and order approvals. This will help you trade confidently and within regulations.
Step 2: Pick a Programming Language
You don’t need to be a developer to get started. Even if you do not know how to code, you can start algo trading. The most common language used in it is Python. You will find multiple pre-made strategies and tools that you can use to automate the trades.
Then there are powerful libraries like Pandas, NumPy, and TA-Lib for analysis. The no-coding ones are great for beginners. This will help you learn how to do algo trading.
Step 3: Select a Trading Platform
Once you understand the basics, choose where your algorithm will run. To learn algo trading, you can go for:
API-Based Platforms: You will get full control over strategies. This is good for experienced traders.
Broker-Integrated Platforms: You will get the readymate tools to use. This is better for new people in algo trading.
Select a SEBI-registered broker only. This will avoid the chances of any issues or penalties. Hence, compare and take time to find the right one.
Step 4: Build Your Trading Strategy
Your algorithm is only as good as your strategy. So, you must first start with a simple one. This can be based on any of the following ideas:
Trend Following Strategy: Uses indicators like moving averages or MACD to follow price direction.
Arbitrage Strategy: Exploits small price differences between related securities.
Mean Reversion Strategy: Works on the idea that prices tend to return to their average value.
Keep it simple in the beginning and refine as you gain experience.
Step 5: Backtest Before You Trade
Before going live with algorithmic trading in India, ensure you test. This is known as backtesting. Here you will check your strategy on the past data. It will be during different time periods. The idea is to know if it works well or not.
You can use platforms for real simulations as well. Once you get a positive outcome of your testing, you can start working in the market.
Step 6: Try Paper Trading
After backtesting, start paper trading. Here you will use simulated money instead of real money to do trading. When you start algo trading in India this way, you can avoid the risk of losses. You can learn, and when you are sure, you can start real trading in the market. This step lets you observe order speed, data accuracy, and execution quality, preparing you for actual trades.
Step 7: Open a Trading Account with API Access
To execute automated trades, open a Demat and trading account with a broker. Ensure that the broker offers you API access like Pocketful. This is important to sync algo trading strategies. Complete KYC and link your bank account. Now, apply for API keys. These keys connect your algorithm directly to the broker’s system, allowing safe and fast trade execution.
Step 8: Go Live and Monitor
When everything is ready, start small. Deploy limited capital and monitor how your strategy performs in live markets. Keep checking for system errors, delays, or data mismatches. Ensure that you are monitoring as well. This is key to ensuring better results from trades.
Like every trading method, algorithmic trading has its strengths and limitations. So, here are the key ones that you should be aware of:
Pros of Algorithmic Trading
Faster Execution: Algorithms analyse the trades faster. They can check millions of data in seconds. So, the chances of making mistakes are reduced and you gain better outcomes.
Emotion-Free Decisions: Automated systems follow logic, not feelings. This ensures consistency and prevents impulsive trades.
High Accuracy: You just need to define the logic once. Then the system will work on trading on its own. There is low human intervention needed.
Backtesting Capability: Before you trade live, you can test your strategy. This is on the past data, but gives assurance. The better the results, the higher the chances of performance.
Scalability: You can manage multiple trades or instruments. All this can be done at once and this will help with profits.
Learning Advantage: When you learn algo trading, you gain both market knowledge and technical skills that can enhance your long-term trading performance.
Cons of Algorithmic Trading
Technical Complexity: Building or customising algorithms is not easy. You must know logic and code. A mistake can lead to losses.
System Failures: Even well-designed systems can malfunction. This can be due to the internet or software problems. This can lead to delays.
Over-Optimization Risk: Excessive fine-tuning can be bad. It will make the strategy valid for certain situations only. This will consume time as well.
Market Volatility: Algorithms may react too quickly to false signals. Such instances can lead to losses or even miss out on better opportunities.
Initial Investment: Setting up tools, APIs, and software for algorithmic trading in India involves upfront costs that beginners should plan for.
In short, when you start algo, the key is balance in how you combine technology with strategy. You must monitor regularly and never rely entirely on automation. This will help to ensure better outcomes.
Algorithmic trading brings structure, speed, and discipline to every trade. For anyone exploring algorithmic trading India, the key is to learn first. Start small, and then you can go in with higher capital.
Once you learn algo trading, you’ll see it’s more about logic than luck. With the right guidance from Pocketful, you can build confidence, automate smarter, and grow steadily with every trade.
S.NO.
Check Out These Interesting Posts You Might Enjoy!
Yes, SEBI allows algorithmic trading. But you must work with a registered broker or APIs only.
How can I start algo trading as a beginner?
You can start algo trading easily. There are platforms that help you learn with simulation. Then you can go in with a small amount and start trading eventually.
Do I need coding skills for algo trading?
Not always. Many no-code tools are there that can help with the algo trading. Just ensure you test the same before you start.
What are the benefits of algorithmic trading?
It improves accuracy, reduces emotional decisions, and executes trades faster.
How much money is required to start algo trading in India?
You can start with a small capital, usually between ₹10,000 and ₹25,000, depending on your strategy.
Whenever you look around India, one thing is clear construction is taking place everywhere. New roads are being built, flyovers, and new housing projects. This is why the materials sector (materials sector stocks) is in the news these days.Building material stocks like steel, cement, pipes, tiles, and adhesives are no longer just part of construction, but have become the engines of the country’s growth. In this blog, we’ll discuss the best material stocks in India for 2025 which could create significant opportunities for investors in the future.
What Are Material Stocks?
Material stocks are shares of companies that produce materials used in basic construction and manufacturing, such as steel, cement, glass, pipes, tiles, and adhesives. These companies transform raw materials into solid forms for further use in infrastructure, housing, manufacturing, and industry. Simply put: when a new house is built, a road is constructed, or a factory is opened, companies in this sector must procure the materials. For this reason, building material stocks and the broader materials sector remain important investment options.
A brief overview of the Best Material Stocks in India is given below:
1. UltraTech Cement Ltd
UltraTech Cement‘s story is deeply intertwined with India’s construction sector. Founded in 1983, the company is today considered one of the country’s most trusted cement brands. Headquartered in Mumbai, UltraTech is part of the Aditya Birla Group and has a presence in almost every state. The company has established itself not just as a cement manufacturer, but as a symbol of quality and durability. UltraTech’s contribution is visible across India’s major infrastructure projects whether highways or housing construction. Gradually, the name has become synonymous with the country’s strength and growth.
Know the Returns:
1Y Return (%)
3Y Return (%)
5Y Return (%)
12.08%
87.44%
135.54%
(Data as of 27th January 2026)
2. JSW Steel Ltd
JSW Steel is one of the companies in India’s steel industry that has given a new direction to the country’s industrial identity. Established in 1982, the company has today become synonymous with modern steel production. As part of the Mumbai-based JSW Group, it has carved a niche for itself by combining technology, quality, and innovation. The company’s plants are spread across India and it is considered the backbone of the construction, automobile, and infrastructure sectors. The hallmark of JSW Steel is its visionary approach – its ability to turn every change into an opportunity. This is why this name has become the pride of Indian steel today.
Know the Returns:
1Y Return (%)
3Y Return (%)
5Y Return (%)
32.79%
64.94%
214.50%
(Data as of 27th January 2026)
3. Tata Steel Ltd
When we talk about India’s industrial history, Tata Steel’s name comes first. Its foundation was laid by Jamsetji Tata in 1907, when the steel industry did not exist in the country. Its first plant in Jamshedpur showed India the path to self-reliance. This Tata Group company has always identified itself with trust, integrity, and quality. For years, it has not only manufactured steel but also promoted the “Tata values” that are the backbone of India’s industry. Today, Tata Steel is not just a company, but has become a story of the nation’s growth and trust.
Know the Returns:
1Y Return (%)
3Y Return (%)
5Y Return (%)
47.05%
55.64%
191.47%
(Data as of 27th January 2026)
4. Grasim Industries Ltd
Grasim Industries is the flagship company of the Aditya Birla Group, one of India’s oldest and most prestigious industrial conglomerates. It was established in 1947, when the country was just beginning its industrial journey after independence. The company initially began its foray into textiles, but gradually expanded into sectors such as cement, chemicals, and fibers. Today, Grasim is recognized as a company that has mastered the art of blending tradition and modernity. Over the years, it has been a reliable contributor not only to the industry but also to the country’s economic progress.
Know the Returns:
1Y Return (%)
3Y Return (%)
5Y Return (%)
13.97%
77.72%
166.25%
(Data as of 27th January 2026)
5. Vedanta Ltd
Vedanta Ltd is one of the few Indian companies that has shaped the country’s natural resources sector. Founded in 1976 and headquartered in Mumbai, Vedanta began as a small mining firm, but today it is active in various sectors, including oil, gas, metals, zinc, aluminum, and power. Vedanta has established itself as an organization that believes in responsible resource use and technological innovation. It has not only increased energy supply for India’s industrial development but also created employment and development opportunities in local communities. This is why Vedanta is considered a vital part of India’s progress.
Know the Returns:
1Y Return (%)
3Y Return (%)
5Y Return (%)
58.50%
112.42%
322.45%
(Data as of 27th January 2026)
6. Ambuja Cements Ltd
The story of Ambuja Cements began in 1983, when the construction sector in India was slowly growing. The beginnings were small, but the ambitions were big to produce superior cement and lay a foundation of trust. Within a few years, Ambuja earned the trust of the people through its work. Today, the name is not just a company, but an identity that is associated with the strength of every building. Headquartered in Mumbai, it has a presence across the country. Ambuja’s greatest strength has been its quality-first approach and its commitment to maintaining balance with the environment.
Know the Returns:
1Y Return (%)
3Y Return (%)
5Y Return (%)
-3.58%
15.60%
106.58%
(Data as of 27th January 2026)
7. Shree Cement Ltd
Shree Cement was founded in Rajasthan in 1979, when the cement industry in India was not yet fully organized. Initially, it was a small company, but its honest work ethic and dedication to quality gradually gained recognition across the country. Today, Shree Cement is among the few companies that have built their reputation without much fanfare. The company’s focus on superior technology and energy efficiency has always set it apart from others. With its “low cost, high productivity” model, Shree Cement has now become a strong foundation of India’s cement industry, a foundation upon which the nation relies.
Know the Returns:
1Y Return (%)
3Y Return (%)
5Y Return (%)
7.44%
23.26%
17.94%
(Data as of 27th January 2026)
8. Jindal Stainless Ltd
Jindal Stainless Ltd was founded in 1970, when the use of stainless steel in India was very limited. At that time, the company reshaped the industry and gradually established itself not only domestically but also globally. Originating in Hisar, Haryana, the company has now become the largest manufacturer in India’s stainless steel sector. Jindal Stainless is characterized by its reliance on innovation and a strict quality approach. The company produces high-grade stainless steel used in automobiles, railways, construction, and household appliances. With its extensive experience and innovative thinking, Jindal Stainless has become a vital part of India’s industrial development story.
Know the Returns:
1Y Return (%)
3Y Return (%)
5Y Return (%)
24.07%
202.61%
873.90%
(Data as of 27th January 2026)
9. Berger Paints India Ltd
Berger Paints India Ltd was founded in 1923, when the paint industry in India was still in its infancy. At that time, it was a small company, but gradually gained recognition across the country for its innovation and quality of colors. Headquartered in Kolkata, Berger Paints is today considered one of India’s most trusted paint companies. The company’s focus has always been on providing customers with superior and sustainable solutions whether it’s interior paint or industrial coatings. Over its 100-year journey, Berger has proven that color can transform not just walls, but people’s lives.
Know the Returns:
1Y Return (%)
3Y Return (%)
5Y Return (%)
3.53%
7.91%
-20.72%
(Data as of 27th January 2026)
10. UPL Ltd
UPL Ltd, formerly known as United Phosphorus Limited, was founded in 1969. At that time, India’s agricultural products and pesticide production was limited, but UPL pioneered a new approach. Based in Mumbai, the company is today one of the world’s leading providers of agri-chemicals and sustainable farming solutions. UPL’s mission has always been to provide farmers with technologies and products that protect crops and increase yields. With its innovation, environmentally friendly approach, and global presence, UPL Ltd is no longer just a company, but a powerful story of India’s agricultural revolution.
The key performance metrics of the Best Material Stocks in India are mentioned below:
Company
Operating Margin (%)
Net Profit Margin (%)
ROE (%)
ROCE (%)
P/E (x)
UltraTech Cement Ltd
12.22
7.96
8.54
9.16
56.06
JSW Steel Ltd
8.46
2.25
4.44
7.93
74.04
Tata Steel Ltd
7.51
1.36
3.75
8.49
56.29
Grasim Industries Ltd
15.67
5.02
3.80
5.86
46.99
Vedanta Ltd
22.82
13.42
36.36
26.92
11.89
Ambuja Cements Ltd
17.53
14.68
7.79
9.16
31.67
Shree Cement Ltd
7.86
5.82
5.21
6.67
98.02
Jindal Stainless Ltd
10.17
6.46
15.01
17.46
19.12
Berger Paints India Ltd
13.83
9.94
19.18
23.64
49.38
UPL Ltd
11.44
2.77
3.07
8.97
64.59
(Data as of March 2025)
Why Material Stocks Are Important for Investors in 2026?
In India, it’s not just long-term investment that matters, but timely investment – and the materials sector is making significant strides in that direction. For example, Budget 2025-26 targets infrastructure investment at ₹11.21 lakh crore (US$128.6 billion), representing approximately 3.1% of the economy. This investment isn’t limited to roads and bridges, but extends to new housing projects, smart cities, logistics, solar, and metro networks. Consequently, companies manufacturing material stocks such as steel, cement, and adhesives and pipes are likely to benefit directly. Furthermore, input costs in this sector are improving, with manufacturing units adopting more integrated and low-cost models, resulting in a better return-on-investment profile.
Risks & Challenges in Material Stocks
Fluctuations in Raw Material Prices : Material companies’ earnings are directly dependent on the prices of coal, petcoke, iron ore, and electricity. When these costs rise, profit margins immediately come under pressure. Therefore, it is important to constantly monitor input costs.
Risk of Demand Volatility : This sector is linked to infrastructure and real estate. If government spending decreases or construction projects are delayed, sales may decline, impacting companies’ growth.
Increasing Competition and Overcapacity : Many new players have entered the market in the past few years. This has increased price pressure, and some companies have over-expanded production capacity, which could reduce profits.
Impact of Government Policies and Tax Changes : Changes to tax structures or carbon regulations by the government can increase costs. For example, the new carbon tax impacts the operating costs of cement and metal companies.
Energy Costs and Environmental Regulations : This sector is highly dependent on electricity and fuel. Increased energy prices or environmental compliance costs can increase production costs. Companies are now forced to invest in green energy and waste heat recovery.
Impact of Global Markets and Currency Rates : Many Indian material companies export, so their earnings can fluctuate due to changes in international demand or the dollar-rupee exchange rate. Steel and aluminum companies are particularly vulnerable to this risk.
Capital Costs and Interest Rates : This is a capital-intensive sector, requiring significant investment. If interest rates rise or funding becomes expensive, both project costs and debt increase, which can reduce net profits.
Analyze the company’s financial position : Before selecting any material stock, review its balance sheet. Low debt, consistent profits, and a good ROCE (Return on Capital Employed) indicate long-term sustainability of the company.
Understand raw material costs and sourcing : The earnings of steel, cement, or pipe companies depend on their input costs. Companies with their own mineral sources or long-term supply contracts are better at controlling costs.
Monitor sector demand and economic cycles : It is important to understand future demand in the sector the company operates in. Government infrastructure plans and real estate growth are the biggest drivers for this sector.
Trust the credibility and experience of management : The transparency and decision-making of the company’s leadership are crucial. Good management keeps debt under control and maintains growth trajectory even during difficult times.
Prioritize Sustainability and Energy Efficiency : Investors are now choosing companies that are adopting green energy and carbon reduction technologies. This not only reduces costs but also mitigates future regulatory risks.
Pay Attention to Dividend and Return Policy : Companies that pay regular dividends or conduct share buybacks are generally financially strong. This provides investors with reliable cash flow.
Balance Risk with Diversification : Avoid investing all your money in a single sector. Maintaining a balanced portfolio across sectors such as cement, steel, pipes, and adhesives provides lower risk and greater stability.
Conclusion
India’s materials sector has become the true foundation of the country’s progress. Whether it’s steel, cement, or building materials companies, each brand is shaping India’s growth story in its own right. Growing demand for infrastructure and housing will further strengthen these companies in the coming years. It’s time for a savvy investor to understand this sector deeply and trust the right companies because these are the industries that will shape the future of India.
S.NO.
Check Out These Interesting Posts You Might Enjoy!
Companies that produce raw materials used in construction.
Which are the top material stocks in India for 2025?
UltraTech, JSW Steel, Tata Steel, Shree Cement, and Berger Paints.
Are material stocks good for long-term investment?
Yes, these are considered stable investments for the long term.
What should investors check before investing?
Look at the company’s reputation, costs, and management.
Do material stocks face risks during a slowdown?
Yes, profits may decline if demand decreases.
Selection Methodology and Important Disclaimer
The stocks included in this list are selected primarily on the basis of their market capitalisation, which represents the total market value of a company’s outstanding shares. The companies are arranged in descending order of market capitalisation, with larger companies appearing first, followed by relatively smaller companies. This methodology is intended to provide a structured approach for identifying companies based on their market size and overall presence within a sector.
However, market capitalisation should not be considered the sole factor while evaluating investment opportunities, as it does not guarantee future performance, profitability, or returns. Investors should also assess other important factors such as financial health, business fundamentals, management quality, valuation metrics, industry outlook, and market conditions before making investment decisions.
The information provided is for educational and informational purposes only and should not be construed as investment advice, recommendation, solicitation, or an offer to buy or sell any securities by Pocketful Fintech Capital Private Limited.
When thousands of trades are completed in the blink of an eye, this is the true speed of High Frequency Trading (HFT). It uses advanced algorithms and superfast computers, which make trading decisions in just a few microseconds. Today, approximately 60% of transactions in the Indian stock market involve HFT trading and algo trading. In this blog, we’ll explore what is HFT, how it works, which HFT companies are leading the way, and what its growing influence in India indicates.
What is High-Frequency Trading?
HFT or High-Frequency Trading, is an advanced trading technique that uses high-speed computers and complex algorithms to execute orders extremely quickly, sometimes thousands of trades per second. Human intervention is virtually nonexistent, as the entire process is fully automated.
Speed and Co-location Advantage: HFT’s greatest strength is its speed. As soon as market data is generated, these systems process it within microseconds and execute trades instantly. Co-location also plays a significant role when an HFT company’s server is located very close to the exchange’s server. This reduces data transmission time and can yield milliseconds of trading gains.
Real-Time Data Feeds: HFT systems read live price quotes, order-book updates, and trade ticks from the exchange in microseconds. The faster and cleaner the data, the faster the algorithms can identify opportunities.
Signal Generation: Quant models look for patterns in the incoming data such as minor price mismatches, order-book imbalances, or short-term momentum. Many firms now also use adaptive ML models so that the models can update themselves in response to changing markets.
Order Routing & Execution: As soon as a signal is received, the system immediately creates an order and sends it to the exchange’s matching engine. Orders are changed or canceled at the same speed. The goal is to achieve entry/exit speed while minimizing slippage, even with very small price gaps.
Co-location & Low-Latency Infra: To reduce latency, servers are co-located within/near the exchange’s data center. Packet processing is further accelerated using high-speed fiber, microwave/millimeter-wave links, smart NICs, and sometimes FPGA-based computing.
Risk Controls & Compliance: Strict guardrails operate with speed—maximum position limits, kill switches, order-rate limits, and real-time P&L/variance checks. This allows the system to immediately reduce exposure in the event of an error or malfunction and ensure compliance with regulatory requirements (e.g., OTR, logging, circuit breakers).
Monitoring & Post-Trade Analytics: Granular analysis of latency, fill rates, and slippage is performed after a trade. This data is what tunes models next time—which venues are faster, which strategies work best at what time, where to optimize the network/code, etc.
HFT Process Flow Table
Step
Description
Goal
Data Collection
Acquire and process live market data in real time
Making decisions based on the latest information
Signal Generation
Identifying patterns or opportunities through algorithms
High-Frequency Trading (HFT) isn’t just a game of fast computers and algorithms; its true strength lies in its strategies. Each HFT firm develops unique strategies to make profits by making accurate decisions in microseconds.
1. Market Making
In this strategy, HFT firms maintain liquidity in the market by continuously placing orders on both the bid and ask sides. Profits are generated from the small spread between the bid and ask. For example, if a stock is being bought at ₹100 and sold at ₹100.05, the HFT system profits by replicating this small spread multiple times.
2. Statistical Arbitrage
This strategy is based on mathematical models and data patterns. The system searches for temporary price gaps in two or more related stocks or indices.
3. Latency Arbitrage
This strategy relies solely on a speed advantage. HFT firms co-locate their servers to minimize data transfer delays. If a price change is first visible on one exchange, and another exchange shows it a few microseconds later, the system can immediately capitalize on the earlier change.
4. Momentum Ignition
In this strategy, the system identifies an ongoing trend and trades in that direction to capture market momentum. Sometimes, the system attempts to trigger momentum by placing small orders, as if to signal increased buying in the market.
5. Event-Based Arbitrage
Whenever major news breaks, such as RBI policies, company quarterly results, or economic data, the HFT system immediately reads the news and trades within seconds.
For example, if a company’s profits are better than expected, the system can immediately buy its shares, even before humans can react to the news.
6. Liquidity Detection
Some HFT models attempt to predict when and where large institutional investors are likely to place orders. If the system detects a buy order from a large fund, it preemptively positions in that direction. This allows the HFT firm to profit from market movements before they even begin.
HFT in India: Growth, Regulations & Major Players
Current Situation : Algorithmic/high-frequency trading is now a significant part of the market in India. According to some reports, approximately 55–60% of total trades on the NSE/BSE are believed to be algo/HFT-based. This figure may vary depending on the segment and source, but the dominance of fast-trading is clear.
Major Firms (Who’s Active) : Both international and domestic prop-trading and HFT firms are active in India. Examples include Tower Research, QuadEye Securities, Graviton Research/Graviton Capital, AlphaGrep, and Estee Advisors; these firms focus on low-latency trading and quantitative strategies. (Lists and profiles are available in public sources).
Infrastructure and History : Co-location services in India, introduced around 2010, offered the potential to reduce server-based latency, contributing to the growth of HFT. The nature of co-location and data feeds made speed-based strategies viable. (This issue has also generated public scrutiny and controversy, which has been subject to appropriate regulatory scrutiny.)
Regulations and Reforms (SEBI’s Approach) : SEBI has tightened the requirements and monitoring protocols for algorithmic/HFT activities, including co-location access, order-to-trade limits, audit trails, and agency/broker-level transparency. Additionally, SEBI has published recommendations/advisories on a framework for algorithmic trading for retail investors to balance risk and transparency.
Ultra-fast technology, executing trades in microseconds.
The process of automatically placing trades according to set strategies or rules.
Speed
Extremely fast—trades in microseconds or milliseconds.
Relatively slow trades can take seconds, minutes or hours.
Goal
Making repeated profits from small price differences.
Making decisions based on long-term strategies.
Technical Requirement
High-speed servers, co-location and low-latency networks.
Also possible with common server and brokerage APIs.
Risk level
Very high dependent on speed and technical errors.
Relatively low dependence on the success of the strategy.
User
Large institutional firms or quant trading houses.
Used by both retail and professional traders.
Regulation
Strict monitoring by SEBI and the exchange.
Relatively simple regulatory oversight.
HFT vs. Traditional Trading
Aspect
High-Frequency Trading (HFT)
Traditional Trading
Method of trading
Fully automated done by algorithms and computers.
Manual Humans place orders and make decisions.
Speed
Thousands of trades in microseconds.
Limited trades in minutes or hours.
Decision making process
Based on data and machine learning models.
Based on experience, emotions and market sentiment.
Cost
Very low spreads and minimal fees.
Relatively high due to time, brokerage and manual errors.
Risk
Major losses are possible due to technical glitches and wrong codes.
The potential for harm due to human judgment or emotional error.
Accuracy
Highly accurate, as there is no human intervention.
Limited accuracy, human error possible.
User
Institutional investors and quant trading firms.
Retail investors and traditional traders.
Control and monitoring
Under high-level surveillance systems and regulatory rules.
Less oversight, relying on individual responsibility.
Benefits of High-Frequency Trading
Improved Market Liquidity: HFT firms continuously place buy and sell orders, ensuring buyers and sellers are present in the market at all times. This reduces the bid-ask spread (the difference between the buy and sell prices) and allows investors to obtain better deals. Consequently, the presence of HFT makes the market more liquid and active.
Faster Price Discovery: When news or economic data is released about a company, HFT systems immediately identify it and trade accordingly. This helps the stock price reach the “right level” faster, meaning the market absorbs the new information more quickly. In the long run, this makes the market more efficient.
Lower Transaction Costs: HFT reduces trading spreads and increases execution speed, thereby reducing transaction costs. This benefits both large institutions and ordinary investors, as they are able to complete trades with a shorter timeframe.
Improved Competition and Transparency: The emergence of HFT firms has required brokerages and trading platforms to provide better technology and faster services. This not only increases competition but also brings transparency to the market. The record and execution of every trade can now be tracked within seconds.
Technological Improvements and Market Stability: Technologies developed for HFT such as low-latency networks, faster servers, and co-location systems are now strengthening the entire market infrastructure. These improvements have made trading more secure, stable, and faster.
Market Manipulation: Some firms use techniques like spoofing, i.e., misleading the market by placing fake orders. This can cause temporary price swings, leaving small investors at a disadvantage.The NSE co-location case demonstrated that unequal data access can impact “fair play.”
Risk of a Flash Crash: When thousands of algorithms work together, a technical or emotional movement can trigger a flash crash. This is what happened in the US in 2010, when the market plummeted by billions of dollars in a matter of minutes. Such accidents raise questions about market stability.
Unequal Access: HFT firms locate their servers very close to exchanges to gain a microsecond advantage. This makes it difficult for retail investors to compete, as “speed” becomes the driving force.
System Failures: Even a minor programming error can lead to losses worth crores. For example, in 2012, Knight Capital suffered massive losses in a matter of minutes due to a software bug. Therefore, firms now use real-time risk control and kill-switch systems.
Ethical and Regulatory Challenges: When some players profit solely through technological advantage, questions of fairness arise. If multiple HFT systems trade in the same direction, the market can become volatile. For this reason, regulators like SEBI are continuously increasing surveillance to ensure that the market remains transparent and balanced.
High-frequency trading has made the world of trading faster and more data-driven than ever before. Trades are now completed in the blink of an eye, and markets appear more dynamic than ever. This provides investors with better prices and liquidity, but it has also presented challenges such as technical glitches and unequal access. The way forward is to use technology wisely to keep markets both fast and fair for all.
S.NO.
Check Out These Interesting Posts You Might Enjoy!
Putting money in gold is a timeless tradition in India, but buying the jewellery or coins can have some concerns like safety, purity, and high making charges that can reduce your profits. What if you could get all the benefits of owning gold in a smarter, simpler, and digital way.
This is where we see the Gold Mutual Funds in the picture, by investing in gold mutual funds, you can invest in gold digitally. These funds are the modern way to invest in gold, where the investors can own pure 24-karat gold on their phone or computer, without ever needing a locker. These mutual funds can be perfect for beginners and smart investors who want the safety of gold without the old-school hassles.
In this blog we will understand what a gold mutual fund is. Also, this blog will explain to you how gold funds work, why starting a gold SIP is a great idea, and list some of the best gold mutual fund options available in India today.
Understanding Gold Mutual Funds
How Gold Mutual Funds Work
A gold mutual fund takes money from investors and then collectively invests in gold, here a fund manager manages the investment and gold on behalf of the investors. By investing in gold like this you can actually buy real gold without the hassle to store the gold.
In India gold mutual funds work as a ‘Fund of Funds’ (FoF) meaning:
You invest your money in a gold mutual fund.
The fund manager collects money from all investors like you.
They use this money to buy units of a Gold ETF (Exchange Traded Fund).
This Gold ETF holds real, 99.5% pure physical gold in very secure vaults.
By investing using this method you get pure gold and the value of your investments move up or down depending upon the price of gold in the market.
This is the biggest gold fund in India and is also one of the oldest funds in India. Nippon gold fund gives customer returns that are closely matched to the performance of its underlying ETF, the Nippon India ETF Gold BeES.
2. HDFC Gold Fund
This is considered to be one of the most trusted fund houses of India, this fund invests in units of the HDFC Gold ETF. If you are looking for a reliable fund for your gold investments, this is the most popular choice.
3. SBI Gold Fund
This is the largest AUM in the gold funds category, which is backed by India’s most trusted bank, State Bank of India. This gold fund provides returns that correspond to the SBI Gold ETF.
4. Axis Gold Fund
Here, the fund invests in the Axis Gold ETF that copies the performance of physical gold. It allows investors to start investing in small SIP amounts.
5. Kotak Gold Fund
In this gold fund the returns are generated by investing in units of Kotak Gold ETF. This also acts as a diversified fund that combines gold and silver together to give broader precious metal exposure to the investors.
6. ICICI Prudential Regular Gold Savings Fund
This fund has the lowest expense ratio in this category and the fund generated its returns by investing in ICICI Prudential Gold ETF, making it cost-effective for the new investors.
7. Aditya Birla Sun Life Gold Fund
Here the returns are tracked based on the performance of Aditya Birla Sun Life Gold ETF, which offers another solid option from a well-known fund house.
8. DSP Gold Fund
Here the investment is done by investing in units of DSP Gold ETF and the returns are generated by this. For investors it is a simple way to invest in gold and diversify your portfolio.
9. Invesco India Gold Fund
In this gold fund the performance of Invesco India Gold ETF is tracked to get returns, it has a straightforward option for investors seeking to track gold prices.
10. Quantum Gold Fund
This fund invests in units of the Quantum Gold ETF and also has one of the lowest expense ratio compared to others which helps in cutting down the cost of investing and making increased profits.
Now that we have gone through some of the Top Gold Funds in India you might be thinking how can you invest in these gold mutual funds but platforms like Pocketful make this extremely simple for the investors as they can search for different gold mutual funds, complete their KYC digitally and start investing in different gold SIPs or even invest a lump sum amount. Pocketful gives a user-friendly interface to its users making investing in gold much easier.
By investing in these gold mutual funds investors don’t need to take on the headache of storing the gold safely. Here the fund house takes care of storing the gold in highly secured vaults; investments are stored in a digital format safely, making them safe from theft.
2. Diversified Portfolio
Gold mutual fund investments can help the investors in diversifying their portfolio. During the stress period, when the stock market might perform poorly, these gold investments can help in stabilizing one’s portfolio. This helps in protecting your overall portfolio during uncertain times.
3. Protection from Inflation and Market Volatility
It saves the investors from the inflation, as during inflation the price of commodities goes up and the value of money goes down. Gold has acted as an asset that has been guarded during inflation times. It is witnessed that when the currency depreciates during inflation, the price of gold rises helping the investor protect their wealth.
4. High Liquidity and Convenience
If you require cash instantly, selling the physical gold can be a challenge in terms of buyers, current price of the gold and even the making charges as you may not get the fair price. But buying these gold mutual funds can sell your units on any business day and get the money directly in your bank account within a few days. The process is transparent and hassle-free.
Factors to Consider Before Investing
Fund Performance History: Investors shall look for how funds have performed over the last 1, 3, and 5 years, as it helps in showing you how consistently it has tracked the price of gold. Though the previous performance doesn’t predict the future, it helps the investors in tracking the record of the fund.
Expense Ratio: Think of it as a service charge that is levied annually by the fund manager to manage your investments. A small difference in the expense ratio can affect the investor’s profit, so one should always look for the expense ratio and prefer a lower ratio.
Asset Under Management (AUM): This is a collective total amount that all the investors have put into the specified fund, here a large AUM shows the trust of investors. A good AUM also means that the fund has liquidity meaning you can easily buy or sell the units.
Tracking Error: This helps in telling the investors if the fund is working properly or not as this is used to track the performance of gold price in the actual market. Investors shall look for lower tracking error as this means that the return on your investment is very close to the actual gold returns.
Fund Manager’s Experience: While most gold funds are passively managed (they just follow the underlying ETF), it’s good to invest with a fund house that has a long history and trusted reputation in the industry. This adds a layer of reliability to your investment.
Investing in gold has changed for the better. You no longer need a large sum of money or a bank locker to own this precious metal. Gold mutual funds offer a simple, affordable, and smart way to add the stability of gold to your investment portfolio.
One should think of them as a long-term investment that protects your wealth, fights with rising inflation and brings diversification to your portfolio. You should be clear about the future goals that you want to meet and make the decision accordingly.
S.NO.
Check Out These Interesting Posts You Might Enjoy!
What is the main difference between a Gold Fund and a Gold ETF?
To buy or invest in a gold ETF you need to have a Demat account but to invest in Gold Funds (which are funds of funds) you can directly do it from your bank account and there is no requirement for a Demat account.
Do Investors need a Demat account to start a Gold SIP?
No, to invest in Gold SIP you don’t require a demat account you can start a Gold SIP with just your bank account after completing your KYC.
How are Gold Mutual Funds taxed?
Gold mutual funds are taxed like non-equity or debt funds, if the units are sold within 3 years then the profit is added to your income and taxed according to your tax slab.
What is the minimum amount I can invest?
Most gold mutual funds allow you to start a SIP with as little as Rs.100 or Rs.500 per month, making gold investing accessible for everyone.
Shall I invest a lump sum amount or start a SIP in a Gold Fund?
SIP (Systematic Investment plan) helps in investing a fixed amount regularly whereas a lump sum is a one-time investment that you can consider if you have a large amount of money ready, so look according to the funds availability and your future goals.
Open Free Demat Account
Join Pocketful Now
You have successfully subscribed to the newsletter
There was an error while trying to send your request. Please try again.
