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.
Flutter or React Native- Which is better for Fintech App Development
Bringing out the best requires choosing the best from the sea of options available. Choosing a development partner with proven expertise is crucial for ensuring your business outcomes align with your strategic goals. We are here to make it easy for you and your developers. Read this blog to understand the differences between Flutter and React Native and what would be best for you Fintech. What exactly is Flutter and React Native? You can skip this part if you are already a seasoned developer, but if you are someone beginning your Fintech Journey, this portion of the blog will make these big terms easy for you to understand. Flutter- The partner for your Fintech App Flutter is an open-source UI software development kit created by Google. It is often used for frontend development, though backend development is also possible. It can be used to develop cross platform applications from a single codebase for the Web, Fuchsia, Android, iOS, Linux, macOS, and Windows. You can check out our blog on Best Ui/Ux practices for Fintech Apps for more context: Flutter ships applications with its own rendering engine which directly outputs pixel data to the screen. This is in contrast to many other UI frameworks that rely on the target platform to provide a rendering engine, such as native Android apps which rely on the device-level Android SDK or React Native which dynamically uses the target platform’s built-in UI stack. Flutter’s control of its rendering pipeline simplifies multi-platform support as identical UI code can be used for all target platforms. Here’s a quick overview of how Flutter is great to use: Benefits of Flutter Also, Flutter 3.24 has been released and here’s a snippet of major changes: Significant GPU Rendering Improvements One of the major highlights of Flutter 3.24 is the enhancement in GPU (Graphics Processing Unit) rendering, which is critical for applications that require smooth animations and visually intensive graphics. Multi-View Embedding: A New Dimension of Flexibility The introduction of multi-view embedding in Flutter 3.24 is a game-changer for developers working on complex applications. It allows for the embedding of multiple Flutter instances within a single app, each managing different views or sections. Dart 3.5 Integration: Elevating Development Efficiency The release of Dart 3.5 has introduced a suite of new features and optimizations that improve both the development experience and the performance of Flutter apps. Dart 3.5 has brought enhanced type inference, making it easier to write concise, maintainable code. Advanced DevTools for Enhanced Development Experience A slice of happiness for the Developers- this latest version comes with advanced DevTools that offer you more powerful debugging and profiling tools. It’s an enhanced experience in itself. There is more to add, but let’s stick to our main learning for this blog. Now, Let’s move forward to React Native: Is this the same as React? NO. But its functionality is the same as React, right? WRONG. React Native was first released by Facebook as an open-source project in 2015. It is considered one of the top solutions used for mobile development. It is a free, open-source JavaScript framework for building apps. What makes React Native stand out is usability for both Android and iOS mobile apps. Also, since React Native was built based on React – a JavaScript library, which was already hugely popular when the mobile framework was released, it comes with an easy learning curve since developers are already accustomed to using React. Instagram, Pinterest and Skype are built on React Native. Here are some more benefits of using React Native: Which would be better for Fintech Applications? For Fintech app development, the decision of using Flutter or React Native often hinges on factors like performance, development speed, community support, and specific project requirements. Let’s discuss each of them here: Here’s an insight: Majority of Fintech Startups prefer using Flutter, for its obvious use cases and advantages. You can still choose between the two, but make sure your App’s features are not compromised by any of them. Performance: Flutter’s compiled native code often delivers superior performance compared to JavaScript-based frameworks like React Native. This is crucial for financial apps where speed and responsiveness are paramount. So for better performance delivery, Flutter is the better choice Cross-platform development: Flutter allows you to build apps for both iOS and Android from a single codebase, saving time and effort. UI/UX: Flutter’s rich widget library and declarative programming style make it easier to create visually appealing and consistent user interfaces. Hot reload: This feature of Flutter enables developers to see changes instantly, accelerating the development process. Community and ecosystem: While the Flutter community is growing rapidly, it may not be as mature as React Native’s, especially in terms of third-party libraries and tools specifically tailored for Fintech. Learning curve: If your team is primarily familiar with JavaScript, React Native might have a shallower learning curve. Flutter uses the programming language Dart , which isn’t that hard to adapt to. Large community: React Native boasts a vast and active community, offering a wealth of resources, libraries, and support. But with Flutter’s success strides and new versions being released, we think this might become a debatable topic in a few years. Third-party ecosystem: React Native benefits from a mature ecosystem of libraries and tools, including many specifically designed for Fintech applications. Bridging: React Native relies on a JavaScript bridge to communicate with native components, which can introduce potential performance overhead. So, we have summed up the differences between Flutter and React Native, the use cases for each, the pros and cons depending on different scenarios, and what factors you need to keep in mind while choosing for your Fintech App. Let’s go a step further and see which one is better for different domains of Fintech: Yes, we got it simplified for you! How can we be sure of this? We are experts in building Fintech Apps. Having built apps across all domains, we have the experience and expertise for choosing the right technology for each of them. You can