Stock Market is no longer the passion and interest of full time traders or businessmen. Now, it’s the hot trend among all, be it college students, working women, housewives, corporate workers, or the other professionals. What changed? Is it the series of stock market crashes like the Wall Street crash (1929), Black Monday (1987), the great recession (2008) that made the stock market famous enough to raise interest, or it’s the penetration of trading as a handy on the go mobile app activity, that made the art of buy and sell be feasible to one and all. Considering rising interests of the recent generations, I would like to think of digitalisation as one of the greatest factors affecting the spike in trading and opening of Demat Accounts. Highest-ever 192.4 mn demat accounts opened in FY25, brokerages add 41.1 mn. Now you could be handling portfolios, trading stocks in all indexes, checking live news updates and taking up licensed advisory, all using a mobile phone. Real time updates have made sure the traders match the speed of the stocks! If you have been long standing in this business, you have been witness to the makeover of stock market trading, from papers and telephones to mobile phones and real time updates. Now, let’s start with the trends around trading software development, as well as phase wise development of one! AI & Predictive Analytics in Stock Trading App Artificial Intelligence is revolutionizing how users interact with trading platforms. By processing massive volumes of market data in real time, AI models can identify trends, forecast price movements, and evaluate risk exposure with far more accuracy than traditional tools. Real-World Use Cases: AI gives users faster, data-driven decisions—turning raw market data into actionable insights. To understand the impact of Custom Trading Software on your business, read this blog here. Auto-Trading & Algorithmic Bots In 2023, 60–70% of equity trades in the U.S. were executed using algorithms (source: Nasdaq). Algorithmic and auto-trading is no longer limited to institutions—modern trading software empowers retail users with automated strategies. Key Capabilities: Automation reduces emotional bias and lets traders act 24/7 without human intervention. Can’t wait to share your idea around trading app like no other? API-First Architecture Modern trading apps are built around APIs—they enable rapid data flow, external integrations, and feature scalability. Whether you’re placing trades, validating KYC, or pulling price charts, APIs are the backbone. Essential APIs for Trading Platforms: Type Examples Use Case Market Data APIs Alpha Vantage, Polygon, Kite Connect Fetch real-time price & volume data Trading Order APIs Alpaca, Interactive Brokers Execute buy/sell orders programmatically KYC/AML Verification APIs Signzy, Digio Ensure compliance during user onboarding News & Sentiment APIs FinSentS, Google Finance RSS Enrich dashboards with live market insights APIs make your app modular, flexible, and faster to update as markets evolve. From Idea to Execution: How to Develop a Trading App (Step-by-Step) Phase 1: Planning & Product Design Phase 2: UI/UX & Wireframing Check out our dedicated blog on best Ui/Ux practices for Fintech app development. Phase 3: Core Development (Frontend + Backend) Component Tech/Tools Frontend Flutter, React Native, Swift (iOS), Kotlin (Android) Backend Node.js, Python, Java Database PostgreSQL, MongoDB Cloud AWS, Azure APIs Kite Connect, Alpaca, IEX Cloud, Firebase, Paytm KYC Phase 4: Compliance & Security Phase 5: Testing, Launch & Iteration If you have any requirements or ideas around building your own trading software, don’t look any further. We take pride in having 6+ years of experience in building scalable and secure Fintech apps and softwares.
How Brokers Can Leverage Custom Algo Trading Software for Business Growth
Introduction The rise of algo trading software is reshaping the financial industry, offering brokers advanced trading solutions that can increase efficiency, improve client retention, and scale their business. Rather than viewing automation as competition, brokers can integrate algo trading technology into their platforms to offer cutting-edge services and gain a competitive edge. In this blog, we’ll explore how brokers can leverage algo trading software for growth, covering trading & algo-trading software, automated trading solutions, and custom algorithmic trading platforms in 2025. We’ll also discuss why custom trading software development services offer better flexibility, security, and performance than white-label solutions, especially in the Indian stock market. 🚀 Want to discuss your fintech idea? ProfitMatics specializes in custom fintech app and software development. Let’s build the perfect solution for your brokerage! The Disruption: Algo Trading vs. Traditional Brokerage Services How Algo Trading Software Is Reshaping Brokerage Models Traditional brokerage services rely on manual execution, discretionary trading, and human analysis. However, algo trading software is transforming the landscape by providing real-time, data-driven trading strategies that execute with precision and speed. The ability to conduct backtesting, high-frequency trading (HFT), and API-driven automated execution makes algorithmic trading software a game-changer for both brokers and traders. Brokers who fail to adapt risk losing clients to tech-driven competitors. However, those who embrace algo trading solutions can enhance their offerings, improving execution quality and client engagement. The Growing Adoption of Algo Trading in India According to SEBI statistics (as of May 30, 2023), there are a total of 5,316 registered stock brokers in India. Additionally, the use of algorithmic trading software has increased significantly, with nearly 50% of trades on Indian stock exchanges now being executed through algo trading. As Indian traders continue to seek high-frequency trading software development, brokers must ensure they have the right infrastructure to cater to this demand. Check out this informative blog on current trends in the Stock Market Related Businesses, for Brokers, RIAs, or Traders who want something of their own! How Brokers Can Integrate Algo Trading Software 1. Build Custom Algo Trading Software Instead of White-Label Solutions While white-label trading software offers quick deployment, it comes with limitations in customization, security, and scalability. Brokers investing in custom trading software development services gain control over their platform’s features, user experience, and integrations. A custom algorithmic trading platform provides: Thinking about a custom algo trading platform? ProfitMatics can build a tailored solution for your brokerage. Let’s discuss your fintech idea today! 2. Offer High-Frequency Trading (HFT) Capabilities Brokers serving active traders can benefit by integrating high-frequency trading software development to enable ultra-fast trade execution, predictive analytics, and low-latency trading strategies. The demand for automated trading software development is growing, making it essential for brokers to offer real-time execution speeds and optimized trading algorithms. New to Custom Development? Understand the process of Custom Development from the dedicated journey document of RoboSmart, an Algo Trading Software built by our team. Access the PDF here. 3. Develop a Custom Stock Trading App As demand for stock market trading app development rises, brokers can differentiate themselves by investing in custom stock trading apps with features such as: With increasing mobile trading, Android stock market app development is essential for brokers to cater to retail investors and traders. Check Out Our Custom Trading App’s features and Case Study here. 4. Expand into Intraday Trading Solutions There is a growing market for app development for stock market for intraday trading in India. Brokers can capture this segment by providing trading app development solutions tailored for scalping, swing trading, and day trading. By offering custom algo trading solutions for intraday traders, brokers can provide faster execution and better analytics. For trends in Algo Trading and SEBI’s view on the uprising change, check out this article by Economic Times. The Future: AI-Powered Trading Bots & Machine Learning AI and Machine Learning in Algo Trading: What Brokers Need to Know The future of automated trading software development lies in AI and machine learning algorithms. Brokers who integrate AI-based trading bots into their platforms can provide: Brokers who adopt AI-driven algo trading software will stay ahead in the race for next-gen automated trading solutions. Trading App Development: Costs & Considerations Understanding Trading App Development Cost Investing in trading app development involves several cost factors, including: Choosing the right trading software development company in India is crucial to ensure compliance with SEBI guidelines and optimize trading app development costs. Connect with us to get a quote! Conclusion: The Path Forward for Brokers Algo trading software isn’t just an innovation—it’s the future of brokerage services. By integrating automated trading software development, high-frequency trading platforms, and AI-powered solutions, brokers can: However, brokers must recognize the advantages of custom trading software development services over pre-built solutions to maintain a competitive edge in a rapidly evolving market. Ready to build a custom trading platform? ProfitMatics specializes in fintech software development for brokers. Contact us to get started today!
Case Study: How we built India’s unique Trade Advisory App- Tradevisor
Tradevisor is a cutting-edge trade advisory application designed to educate and empower aspiring traders. With its intuitive interface and feature-rich environment, Tradevisor aims to transform beginners into confident traders, fostering a community that thrives on knowledge and real-time insights. The app’s mission is noble: to raise awareness and provide essential trading education to a diverse audience, regardless of age or experience. You can check Tradevisor’s Project Highlights here. Problem Statement The journey to create Tradevisor was not without its challenges. The founder initially partnered with a development team that struggled to meet the project’s ambitious goals. Key issues included difficulties in integrating essential modules and delivering on critical features. The founder’s quest for a reliable partner led them to us, thanks to a strong word-of-mouth recommendation. With a leap of faith, they entrusted us with the half-completed project, tasking our team with transforming Tradevisor into a robust and user-friendly trading advisory app. Key Challenges 1. Real-Time Updates Integration In the fast-paced world of trading, timely information is crucial. One of the primary challenges we faced was integrating a real-time updates feature, essential for ensuring users could execute quick transactions without missing out on market movements. This required meticulous planning and advanced technical solutions to provide users with instantaneous access to market data. 2. Creating Interactive Forums Tradevisor targets those new to trading, aiming to create an inclusive learning environment. We recognised the importance of building interactive forums within the app where users could ask questions, share experiences, and learn from one another. Designing these forums with user intent in mind was vital to foster engagement and community support. Project Team and Roles: 1. Flutter Developer: Responsible for building the mobile application UI and implementing the business logic using Flutter and Dart. 2. Python Developer: Focused on developing the backend services, including database management and APIs. 3. Figma Designer: Designed the user interface and user experience for the mobile application. 4. QA Tester: Ensured the quality of the application by performing rigorous testing, identifying bugs, and verifying fixes. 5. Project Manager: Oversees the project, ensuring timelines are met and resources are allocated efficiently. 6. Team Leader: Provided leadership, assigned tasks, and ensured effective communication across the team. 7. Technical Head: Handled the technical architecture, ensuring best practices, and guiding the team on technical decisions around this project Project Timeline: ● Project Planning and Prototype: 4 days ● Design: 15 days ● Frontend Development: 35 days ● Backend Setup and Development: 40 days ● QA Testing: 20 days Tech Stack: Project Planning and Prototype: ● Figma: For wireframes and user flow design. ● QuickDBD: For database planning and schema design. Design: ● Figma: For UI/UX design. ● Gemini: For enhancing visuals and graphics. ● Canva: For creating marketing assets and additional design elements. ● Midjourney: For AI-generated visual content and illustrations. Frontend: ● Flutter: For building the cross-platform mobile app. ● Dart.dev packages: For implementing necessary functionalities in the app. Backend: ● Python: For server-side logic and backend services. ● FastAPI: For building efficient and high-performance APIs. ● WebSocket: For real-time data communication. ● Rest API: For standard RESTful communication with the frontend. ● Swagger: For documenting and testing APIs. Our Approach Our dedicated team set to work, employing agile development practices to rapidly address the project’s challenges. Here’s how we approached each key issue: Real-Time Updates: We implemented a robust backend architecture that utilized WebSocket technology, allowing for seamless real-time data streaming. This ensured that users received up-to-the-minute information on stock prices and market movements, facilitating informed decision-making. User-Centric Design for Interactive Forums: Understanding our target audience was key. We conducted user research to identify the needs and preferences of new traders. This insight drove the design of intuitive forums, complete with easy navigation, categorized topics, and a user-friendly interface that encouraged participation. Outcome The result was a highly intuitive and feature-rich Tradevisor app that exceeded expectations. Users can now access real-time market updates, participate in engaging forums, and explore a wealth of educational resources. The app not only meets the needs of its users but also aligns perfectly with its mission to empower aspiring traders. Conclusion Tradevisor’s success story highlights the power of collaboration and expertise in overcoming challenges. By stepping in to take over a half-finished project, we transformed Tradevisor into a leading educational platform in the trading space. We’re proud to have played a part in empowering the next generation of traders, helping them navigate the complexities of the market with confidence and knowledge.
How Do Stock Market Brokers Make Money Through Apps?
In a simpler language with great examples! Remember those days when you had to be physically present, on a phone call with your Broker to converse Trades? So much has changed since then. But one question that strikes in the minds of new traders and anyone who wants to learn about Fintech, is how do brokers earn money, in the current scenario, with an app. Let’s understand the Business Model behind Brokers earning revenue through Trading Apps. Commissions on Trades The first one is of course commission.Whenever a user buys or sells a stock through the app, the broker takes a small percentage or flat fee as a commission. These commissions may vary based on the type of asset being traded (stocks, options, futures, etc.), and some brokers even offer different rates for frequent or high-volume traders. Here’s an example to understand this : A broker might charge $5 per trade or a percentage (e.g., 0.1%) of the total transaction value. What does this bring? Some brokerages charge commissions on stock and ETF trades, but these costs are currently on the decline. Look for : Otherwise, you could pay between $3 and $7 as a trading fee, depending on the online broker. Some brokers offer discounts for high-volume traders. Spread or Markup on Trades While commission is the most common way, some brokers make money through the bid-ask spread. This means they sell an asset to the user at a slightly higher price than they purchased it for (ask price) or buy it back at a slightly lower price than the market price (bid price). The difference between these prices, known as the spread, is kept by the broker as profit. Let’s assume that a broker buys a stock for $100 but sells it to the user for $100.05. The 5-cent difference here, is broker’s revenue. Revenue Model used here: Interest on Margin Accounts (Borrowed Capital Model) If a Trader wants to borrow money to trade (margin trading), he can do so by borrowing from his broker on some interest charges. This kind of trading allows traders to leverage their positions and potentially earn higher returns, but the broker earns interest on the funds. It’s a win- win situation for both of them. Discover a powerful Forex trading strategy that has helped achieve remarkable profits. This PDF contains strategies for every type of trade in easy and simple explanations. Click the link below to have access to the PDF Now! Subscription Fees for Premium Features Almost all stock trading apps available in the market offer premium services or features, such as advanced research tools, real-time data, or exclusive trading insights. Anyone too much into trading would be allured by these features. This marketing strategy brings extra revenue for Brokers.Example: – A broker might charge $15/month for access to the pro version of the app having in-depth stock analysis tools or faster trade execution. When does this model work and why? – This model works well for serious traders who need more sophisticated tools than what free accounts offer. – Recurring revenue from subscriptions provides consistent cash flow for the broker. We can help you build a Trading app of your vision with great features and high security. Book a 30 Min Meeting to discuss your idea. We promise it will be great for both of us! Order Flow Payments Another revenue stream for brokers is payment for order flow (PFOF). In this model, brokers route their clients’ orders to specific market makers or high-frequency trading firms, who then pay the broker for sending them trade orders. This doesn’t typically affect the client’s trade experience, but it helps the broker earn extra revenue. For example, a market maker might pay the broker a small fee (fractions of a cent) for each share traded through their platform. This works because, Account Management Fees Brokers with their own apps charge an account management fee, especially for clients who use their services for long-term portfolio management. This is typically a percentage of assets under management (AUM) or a flat annual fee. A broker might charge 1% of the total assets a user holds with them on an annual basis. The larger the AUM, the more fees the broker collects. In-App Advertising and Affiliate Partnerships Some brokers monetise their apps by incorporating advertising or affiliate partnerships. This might involve displaying relevant financial products or services to users, such as credit cards, insurance, or other investment platforms, and earning a commission for each referral. Here’s how it actually works: A broker might partner with a bank or financial institution and display ads for their savings accounts. Each time a user signs up, the broker earns a fee. Advertising partnerships can be particularly lucrative for brokers with a large user base. Affiliate marketing brings in additional revenue with minimal effort beyond app integration. Check out one of our Trading Apps with intuitive Ui/Ux and great features, built on the lines of trust, credibility and security. How Profitmatics Can Help You Build a Profitable Trading App If you are a broker, or aiming to become one, you can’t succeed without an app. A well-designed trading app is essential for staying competitive and maximising revenue streams. At Profitmatics, we specialise in building custom fintech apps tailored to the needs of brokers and traders. From seamless integration of revenue-generating features like commissions, and margin lending to premium tools for serious traders, our fintech solutions can help your brokerage grow its profitability. With our expert B2B fintech development services, we can : Design and build custom trading apps that attract more users.ANDEnsure your platform is secure, scalable, and user-friendly. Ready to take your brokerage to the next level? Contact Profitmatics today to discuss how we can help you build a successful trading app that generates significant revenue.
11 Best Backtesting Apps/Tools for Indian Traders in 2024
If you are new to Trading, this blog is going to make things a lot easier for you. Keep reading to unlock some great Backtesting Tools!