Excelsoft Technologies Quarterly Results: June 2026 Top-Line Growth And Margin Dynamics

Quick Takeaways

• A Demat Account stores your investments in digital form securely.
• Mandatory for trading stocks on NSE or BSE in India.
• Regulated by SEBI and supported by NSDL/CDSL.
• Offered by trusted brokers like Zerodha, Upstox, Groww, and Swastika Investmart.
• Easy digital onboarding with mobile trading and compliance checks.

What Is a Demat Account?

A Demat Account (short for Dematerialised Account) is a digital repository for your investments. It holds shares, mutual funds, ETFs, bonds, and other securities in electronic form, eliminating the need for physical certificates.

In India, the concept of Demat accounts was introduced in 1996 under the regulation of the Securities and Exchange Board of India (SEBI) to promote transparent and secure trading.

Why a Demat Account Is Essential for Indian Investors

Whether you’re applying for an IPO or buying your first stock, a Demat account is non-negotiable. It’s your entry point into the Indian capital markets.

✅ Key Benefits of Having a Demat Account

• Paperless Convenience: Store all your securities digitally.
• Regulatory Protection: Monitored by SEBI, with shares held under NSDL or CDSL.
• Mobile Investing: Most platforms offer real-time access through trading apps.
• Faster Settlement: Trades now settle within T+1 day (as per SEBI's new cycle).
• Centralized Portfolio: View stocks, mutual funds, and bonds in one place.

🧭 Understanding the Onboarding Process

Opening a Demat account is now easier than ever. The entire process is digital, simple, and SEBI-compliant.

📝 Step-by-Step Onboarding

1. Choose a SEBI-Registered Broker

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Select a Depository Participant (DP) registered with NSDL or CDSL. Popular brokers in India include:

• Zerodha
• Groww
• Angel One
  
• Upstox
• ICICI Direct
  
• Swastika Investmart
  

2. Complete e-KYC

Upload:

• PAN card
• Aadhaar card
• Bank proof
• Live photo
• Signature

SEBI mandates In-Person Verification (IPV), which is typically done via live video.

3. Link Accounts

You’ll also need a trading account and bank account to complete the ecosystem.

4. Start Investing

Once verified, your Demat account will be live. You can begin trading via mobile or desktop platforms.

🏢 Spotlight on Swastika Investmart

When choosing a broker, trust, compliance, and advisory support are key. Here’s where Swastika Investmart stands out:

✅ SEBI-Registered & CDSL-Linked

✅ Deep Regional Presence with personalized investor support

✅ Strong Research Advisory for retail investors

✅ Robust Tech Infrastructure for secure and fast transactions

✅ Mobile App for seamless investing experience

Swastika is ideal for both beginners who need handholding and experienced traders who expect smart tools and reliable back-end support.

🧑🏫 Use Case: Riya, a First-Time Investor

Riya, a 24-year-old marketing professional from Pune, wanted to start investing in SIPs and direct stocks. She chose Swastika Investmart for its human support, easy onboarding, and compliance assurance. With a few documents and a 10-minute eKYC, her Demat account was live linked to both her bank and trading accounts.

🧠 Safety, Compliance, and Investor Protection

• Strong KYC and verification layers
• Transparent communication via SMS/email on every trade
• Data protection and two-factor authentication (2FA)
• Periodic account reconciliations via NSDL/CDSL
• Regulated access by Depository Participants only

💡 Tip: Always verify your broker’s SEBI registration before onboarding.

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🔁 Throughout this journey, we’ve covered concepts tied to:

• Trading platform usage
• Investor protection under SEBI
• Mobile investing via apps
• Full-service broker capabilities
• Digital compliance norms

This ensures the blog speaks the language of both search engines and beginner investors.

5. FAQs

Q1. Is a Demat account mandatory to invest in stocks?

Yes. As per SEBI guidelines, you cannot trade on NSE or BSE without a Demat account.

Q2. Can I open a Demat account without a trading account?

You can open a standalone Demat account, but to buy/sell shares, a linked trading account is necessary.

Q3. Is Swastika Investmart a SEBI-compliant broker?

Yes. Swastika Investmart is a SEBI-registered stockbroker and a CDSL depository participant.

Q4. How long does it take to open a Demat account online?

Usually within 24–48 hours, depending on document verification and IPV completion.

Q5. Is it safe to store securities in a Demat account?

Absolutely. Your securities are held under NSDL or CDSL, both regulated by SEBI with strong safety protocols.

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6. Conclusion

A Demat account is not just a compliance formality it’s the foundation of your investing journey in India. Whether you're a college graduate starting with ₹500 in ETFs or a working professional entering equities, your Demat account connects you to a secure, regulated, and digital future.

For a trusted, transparent, and tech-savvy experience, consider Swastika Investmart, especially if you value human support backed by strong SEBI and CDSL compliance.

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🔗 Ready to Begin?

👉 Open Your DEMAT Account with Swastika Investmart Today

Standalone Highlights of results for the year ended as on 31st March 2025 :

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Legacy Enriched by the Next Generation Highlights 2024-25 :
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Growth Highlights 0f 2024-25 :

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Extract of Audited Standalone Financial Results for the Year Ended as on 31st March 2025 :
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Algorithmic trading (algo trading) has revolutionized the financial markets by automating the execution of trades based on pre-defined criteria. But is algo trading good to do?

For many people, algo trading offers great advantages. Algorithms can process a lot of data at a very fast speed and make trades at a very low cost. This makes trading much more efficient and profitable. Algorithms can react faster than humans to market fluctuations, allowing traders to take advantage of opportunities that may otherwise not be available. By not having human emotions taking part, there is less emotional risk in trading.

What is Algorithmic Trading?

Algorithmic trading is all about using computer algorithms to take control of the trading process. These smart algorithms separate through market data, spot trading opportunities, and place orders for the trader. They can execute trades at lightning speed and in volumes that far surpass what any human could manage, all while keeping emotions out of the equation—something that often clouds human judgment.  

At its core, algorithmic trading relies on predefined rules, like price, volume, or time, to determine the optimal moments to buy or sell a security. These rules can range from straightforward to incredibly intricate, weaving in various market factors, technical indicators, and statistical models.

The Rise of Algo Trading

The growth of algo trading has been driven by leaps in technology. With high-speed internet, enhanced data analysis tools, and superior computational power, it’s become much easier to create, backtest, and roll out complex trading strategies. These tech advancements, along with the increased access to financial data, have opened the doors for not just institutional traders but also retail traders to dive into algo trading.

Nowadays, algo trading makes up a heavy chunk of the daily trading volume in financial markets. For instance, in the U.S. stock market, it’s estimated that over 60% of trades are executed using algorithms. This trend underscores the expanding influence of automation in shaping the global financial landscape.

Advantages of Algo Trading

1. Speed and Efficiency

One of the standout perks of algorithmic trading is its speed. Algorithms can analyze massive amounts of market data in real-time and execute trades in the blink of an eye. On the flip side, human traders are limited by their cognitive abilities and can’t react nearly as fast. This speed advantage lets algorithms capitalize on even the tiniest price discrepancies, raking in profits that would be tough to match with manual trading.

2. Elimination of Emotional Bias  

Human traders often let their emotions, like fear or greed, cloud their judgment, which can lead to some pretty poor investment decisions. On the other hand, algorithmic trading takes that emotional bias out of the equation. Since algorithms stick to strict, predefined rules, they make trades without getting caught up in the fear of losing money or the temptation to chase after big gains. This results in a more disciplined and consistent approach to trading.

3. Backtesting and Optimization  

Algo trading systems can be backtested using historical market data, which is a fantastic way for traders to test their strategies without any risk before putting real money on the line. Backtesting helps pinpoint which strategies work best in various market conditions. Plus, algorithms can be fine-tuned and adjusted continuously to keep up with the ever-changing market landscape.

4. Diversification  

With algo trading, traders can easily diversify their strategies by managing multiple trades at the same time. Algorithms allow them to invest in a range of markets and securities all at once, which helps spread the risk across different assets. This diversification is key to lowering the overall risk of a trading strategy.

5. Reduced Transaction Costs  

Automated systems make trading more efficient, which in turn cuts down on transaction costs. Algorithms can execute trades faster and at lower costs than humans can, especially when you factor in things like bid-ask spreads, slippage, and commissions. For high-frequency traders, those small savings can really add up to significant profits over time.

6. Access to Complex Strategies  

Algo trading opens the door to executing complex strategies that would be tough for humans to handle manually. For instance, strategies like statistical arbitrage, market making, or pairs trading require quick analysis of huge amounts of data and the ability to make multiple trades simultaneously. These strategies can be effectively carried out through algorithmic trading systems.

Algo trading can be a smart move, but it really depends on what the trader is aiming for, their resources, and their level of expertise. For institutional investors who have access to cutting-edge technology and substantial capital, algorithmic trading can be an incredibly effective way to boost efficiency and profits. On the flip side, retail traders need to think carefully about the costs, complexities, and risks that come with algorithmic trading.

In short, algorithmic trading isn’t a one-size-fits-all approach. Traders must grasp the technology, recognize the potential risks, and thoughtfully evaluate whether the advantages outweigh the hurdles. By doing this, they can make well-informed choices about incorporating algorithmic trading into their investment strategies.

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Algorithmic trading has transformed the way traders participate in financial markets. Instead of manually placing orders, traders can now execute trades automatically using predefined rules based on price, volume, technical indicators, or market conditions. This approach reduces emotional decision-making, improves execution speed, and enables traders to capitalise on opportunities that may be difficult to identify manually.

However, successful algorithmic trading isn't about simply automating buy and sell orders. The real advantage lies in building a profitable algo trading strategy that has been thoroughly researched, tested, and optimised for changing market conditions.

Whether you're a beginner exploring automated trading or an experienced trader looking to improve your trading system, this guide explains how to develop an algorithmic trading strategy that balances profitability with effective risk management.

Why Does an Algo Trading Strategy Matter?

An algo trading strategy is a predefined set of trading rules that automatically identifies trading opportunities and executes orders without requiring manual intervention. A well-designed strategy helps traders:

• Remove emotional bias from trading decisions.
• Execute trades faster than manual trading.
• Maintain discipline by following predefined rules.
• Backtest ideas before deploying real capital.
• Improve consistency through systematic execution.

Instead of making decisions based on market noise, algorithmic trading relies on objective data and predefined conditions.

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Steps to Develop a Profitable Algo Trading Strategy

Define Your Trading Goals

Before creating an algorithmic trading strategy, define what success means for you. Ask yourself:

• Are you focusing on intraday trading, swing trading, positional trading, or high-frequency trading?
• What percentage of your capital are you willing to risk on a single trade?
• Which market do you want to trade?
  
  • Equity
  • Futures & Options
  • Commodities
  • Currency derivatives
• What is your expected monthly return while maintaining acceptable drawdowns?

Having clear objectives makes it easier to design a strategy that aligns with your investment style rather than chasing random market opportunities.

Select a Reliable Algo Trading Platform

Choosing the right algorithmic trading platform is just as important as developing the strategy itself. The platform should offer reliable execution, flexible customisation, risk controls, and seamless integration with your broker.

Swastika Investmart's algo trading platforms are designed for traders who want to automate their strategies without unnecessary complexity. It supports strategy automation, efficient execution, and user-friendly tools suitable for both beginners and experienced traders. Other commonly used platforms include:

• AmiBroker (Advanced technical strategy development)
• Python API Trading (Ideal for quantitative traders and developers)

The best platform depends on your experience, trading style, and customisation requirements.

Choose the Right Trading Strategy

Every profitable algorithm starts with a proven trading idea. Some of the most widely used algorithmic trading strategies include:

Trend Following Strategy

Trend-following strategies identify stocks moving in a particular direction using indicators like:

• Moving Averages
• MACD
• RSI
• ADX

These strategies attempt to ride established market trends until momentum weakens.

Example: Buy when the 50-day Moving Average crosses above the 200-day Moving Average and exit when the crossover reverses.

Mean Reversion Strategy

Markets often move away from their average price before eventually returning. Mean reversion strategies identify these temporary deviations. Common tools include:

• Bollinger Bands
• RSI
• Z-Score
• VWAP

These strategies work particularly well during range-bound markets.

Scalping Strategy

Scalping focuses on generating numerous small profits throughout the trading session. Characteristics include:

• High trade frequency
• Small profit targets
• Tight stop losses
• Low holding periods

Here, execution speed becomes extremely important for these strategies.

Arbitrage Strategy

Arbitrage trading attempts to profit from temporary price differences between two markets or instruments. Examples include:

• Cash-Futures Arbitrage
• Statistical Arbitrage
• Index Arbitrage

These strategies generally require faster execution systems and robust infrastructure.

Breakout Strategy

Breakout strategies identify stocks moving beyond important support or resistance levels with strong volume. When genuine breakouts occur, momentum often continues in the breakout direction. This approach is widely used in intraday and swing trading.

Backtest Before You Trade

Backtesting is one of the most important stages in developing an algorithmic trading strategy. It involves testing your strategy using historical market data to evaluate how it would have performed under different market conditions. During backtesting, evaluate:

• Total Return
• Win Rate
• Average Profit
• Average Loss
• Maximum Drawdown
• Risk-Reward Ratio
• Sharpe Ratio
• Consecutive Winning and Losing Trades

A strategy that performs consistently across multiple market cycles is generally more reliable than one optimised for a short period. Remember, a good backtest doesn't guarantee future profits, but it significantly improves confidence before live deployment.

Implement Proper Risk Management

Even the best trading algorithm cannot avoid losses entirely. That's why every profitable algo trading strategy should include strong risk management. Consider incorporating:

• Stop-loss orders
• Target levels
• Position sizing
• Daily loss limits
• Maximum drawdown restrictions
• Portfolio diversification

Many professional traders risk only 1-2% of their capital on a single trade, ensuring that a series of losing trades doesn't significantly impact their portfolio.

Optimise and Monitor Your Strategy

Markets constantly evolve. A strategy that performs exceptionally well today may underperform during changing volatility or economic conditions. So, a trader must regularly review:

• Win percentage
• Profit factor
• Average holding time
• Market volatility
• Slippage
• Transaction costs

Instead of completely changing your trading algorithm, focus on incremental improvements backed by data.

Common Mistakes to Avoid in Algo Trading

Many traders automate their strategy without proper validation. Some common mistakes include:

• Over-optimising strategies to fit historical data (curve fitting)
• Ignoring brokerage, taxes, and slippage
• Deploying without adequate backtesting
• Trading illiquid stocks
• Frequently modifying strategy rules
• Using excessive leverage
• Ignoring market regime changes

A simple, disciplined strategy often outperforms an overly complex one.

Key Considerations Before Deploying an Algo Trading Strategy

Before running your algorithm live, evaluate these important factors:

Market Liquidity

Strategies perform better when adequate buying and selling volume is available.

Execution Speed

Latency can significantly impact strategies like scalping and arbitrage.

Brokerage Costs

Frequent trading increases brokerage, taxes, exchange charges, and slippage. Always include these expenses while evaluating profitability.

Regulatory Compliance

Algorithmic trading in India must comply with applicable SEBI regulations and exchange guidelines. Always trade through authorised brokers and approved platforms.

Strategy Diversification

Rather than depending on a single algorithm, experienced traders often diversify across multiple strategies to reduce overall portfolio risk.

Frequently Asked Questions

Can beginners develop an algo trading strategy?

Yes. Modern no-code platforms allow beginners to create and test algorithmic trading strategies without programming knowledge. However, understanding market behaviour and risk management remains essential.

What is the best algorithmic trading strategy?

There is no universal "best" strategy. Trend-following strategies work well in directional markets, while mean reversion strategies often perform better during sideways conditions. The ideal strategy depends on your objectives, risk tolerance, and trading style.

How much capital is required for algo trading?

The required capital depends on the asset class, broker requirements, and strategy. Many traders begin with modest capital, validate their system, and gradually increase exposure as consistency improves.

Is algorithmic trading legal in India?

Yes. Algorithmic trading is legal in India when conducted in accordance with SEBI regulations and exchange guidelines using authorised brokers and compliant platforms.

How often should an algo trading strategy be reviewed?

A trading strategy should be reviewed periodically based on performance metrics and changing market conditions. Regular monitoring helps identify declining performance before it significantly impacts capital.

Conclusion

Building a profitable algo trading strategy is a structured process that combines research, discipline, testing, and continuous improvement. Rather than relying on intuition, algorithmic trading enables traders to make objective decisions based on predefined rules and historical data.

So, if you're looking to automate your trading journey, Swastika Investmart offers an intelligent, user-friendly platform that helps traders build, test, and execute algorithmic strategies efficiently. Whether you're taking your first step into automation or refining an existing system, having the right technology can make all the difference.

Open A Demat Account

Introduction

In today's fast-paced financial markets, traders rely on algo trading to gain a competitive edge. But why do traders trust  so much? The answer lies in its accuracy, speed, and data-driven approach. Let's explore the key reasons why professional and retail traders prefer automated trading systems over manual trading.

1. Speed and Efficiency

Markets move in milliseconds, and human traders can't react as fast as computers. Algo trading software executes trades in microseconds, ensuring traders never miss profitable opportunities. Whether it's high-frequency trading (HFT) or scalping strategies, automation gives traders a distinct advantage.

2. Eliminates Emotional Trading

One of the biggest reasons traders lose money is due to fear and greed. Algorithmic trading bots remove emotions from the equation, following predefined trading strategies without hesitation. This results in disciplined and consistent execution, reducing impulsive decisions.

3. Backtesting for Better Strategies

Traders trust algo trading systems because they can test strategies on historical stock market data before deploying them live. Backtesting in algo trading helps identify profitable patterns, refine entry/exit points, and optimize risk management.

4. Higher Accuracy and Precision

Manual trading is prone to human errors, such as incorrect order placement or mistimed entries. Automated trading systems ensure high accuracy in trade execution, reducing costly mistakes. Precision matters, especially in options trading, forex trading, and intraday trading.

5. Ability to Handle Large Trade Volumes

Institutional investors, hedge funds, and even retail traders trust algorithmic trading software because it can process massive trade volumes seamlessly. Unlike manual traders, who might struggle with multiple trades, algo trading bots can manage thousands of orders at once.

6. Customization and Scalability

Another reason traders trust automated trading platforms is their ability to be customized. Traders can code their trading strategies using Python for algo trading, adjust risk parameters, and scale their operations based on market conditions.

7. Regulatory Support and Transparency

In India, SEBI regulates algorithmic trading, ensuring fair practices. Many stock brokers offer algo trading APIs, allowing traders to build their custom trading algorithms while staying compliant with regulations.

8. 24/7 Market Monitoring

Unlike human traders, who need rest, algo trading systems can monitor global markets 24/7. This is especially useful in cryptocurrency trading, where markets never close.

9. Cost-Effective Trading

Though setting up algorithmic trading software requires an initial investment, it eventually reduces transaction costs by executing orders at optimal prices. Low-latency trading algorithms ensure minimal slippage and better returns.

Conclusion

Traders trust algo trading because it offers speed, precision, automation, and efficiency—all crucial for success in today’s markets. Whether you're a retail trader, institutional investor, or day trader, embracing automated trading strategies can significantly enhance your trading performance. If you haven’t explored algorithmic trading yet, now is the perfect time to start!

Start Algo Trading Now!

Algo trading in India has been a topic of intense discussion among traders and investors. Recently, there have been rumors about the SEBI ban on algo trading, causing confusion and concern. But is SEBI banning algo trading completely? Let’s dive into the details and clear up the misconceptions.

SEBI’s New Regulatory Framework for Algo Trading

SEBI has introduced a comprehensive regulatory framework for algorithmic trading (algo trading) in India, allowing retail investors to participate, but with enhanced oversight and stricter rules for brokers and algo trading providers. The framework includes unique identifiers for orders and registration requirements to ensure transparency and fair market practices.

Key Measures Introduced by SEBI:

1. Retail Investor Participation

SEBI has now opened the doors for retail investors in algo trading, a space previously dominated by institutional investors. However, retail participants must adhere to SEBI’s compliance requirements and execute trades through registered stockbrokers offering algo trading.

2. Unique Identifiers for Algo Orders

To enhance transparency, SEBI has mandated unique identification numbers for all algo trade orders. This helps track the origin of each trade and prevents market manipulation through automated strategies.

3. Stricter Broker Compliance

Stock brokers offering algo trading services must now register and get approval for their algorithmic trading strategies. Additionally, brokers must ensure that their clients are aware of the risks associated with high-frequency trading (HFT).

4. Approval for Third-Party Algo Platforms

Third-party algo trading platforms in India must now comply with SEBI’s strict regulations. Platforms providing algorithmic trading software need to register with the regulator and ensure their strategies are pre-approved before execution.

Why is SEBI Introducing These Regulations?

SEBI has raised concerns about unregulated algo trading due to the following reasons:

Market Volatility – Unchecked algo trading can trigger large fluctuations in stock prices.

Unfair Advantage – Traders with access to sophisticated algo trading software can gain an unfair edge over manual traders.

Flash Crashes – High-frequency trading (HFT) has been linked to sudden market crashes due to automated sell-offs.

How Will These Regulations Affect Traders?

If you are using algo trading software in India, here’s how these regulations might impact you:

• Retail traders can now participate in SEBI-compliant algo trading, but they need broker approval.
• Brokers offering algo trading services must ensure regulatory compliance.
• Third-party algo providers need SEBI approval before offering their services.

What Should Algo Traders Do Now?

If you are engaged in algo trading in NSE and BSE, here are some steps you should take:

• Stay updated on SEBI’s latest algo trading guidelines.
• Use SEBI-approved algorithmic trading strategies.
• Choose a registered broker with SEBI-compliant algo trading services.

Conclusion

While SEBI is not imposing a complete ban on algo trading in India, it is making efforts to regulate automated trading and ensure fair market participation. Traders should be aware of the new guidelines and adapt accordingly to continue using algorithmic trading in India without any legal issues.

Happy Trading!

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