Drawing on our expertise in financial software development, we deliver multiple types of trading systems, platforms, and mobile apps, addressing the unique business needs of your organization and customer base.
Examples of commercial trading platforms:
Examples of proprietary trading platforms:
We deliver custom stock trading solutions with a feature set fully tailored to your business goals and end-users’ needs.
We integrate your solution with market data aggregators, stock screeners, and financial newsfeeds, providing users access to real-time and historical trading data and enabling the creation and use of technical indicators and reliable data analysis based on verified information.
We deliver data analytics capabilities that enable investors and active traders to perform fundamental and technical analysis, calculate financial ratios and metrics, explore market sentiment and volatility, backtest investment strategies, and predict stock price trends.
We integrate stock trading software with visualization platforms and advanced charting and drawing tools that help turn financial and trading data sets into dashboards, interactive charts, graphs, and visual reports, providing an in-depth market view.
Our trading applications enable highly personalized user experiences through push notifications, including custom messages and alerts on price, time, or options for streamlined trading services, extensive search filters, and advanced recommendation engines, providing users with tailored in-app content like market news or know-how articles for beginner stock traders.
Our company creates solutions to help asset and wealth managers build, monitor, and rebalance model portfolios, make informed decisions based on aggregated financial and asset data, and automate trading operations, as well as provide investment journaling capabilities to keep track of trades and rationales behind them.
Our stock trading systems enable transactions and fund deposits into user accounts through payment gateways, facilitate the placement of buy and sell orders for stocks, bonds, options, and ETFs, or automate the execution process using take-profit and stop-loss orders, as well as other triggers.
We help companies implement trading algorithms enabling objective decision-making and trading automation, including algorithms for cycle analysis, arbitrage opportunity identification, trades execution, trading strategies optimization, and liquid market making algorithms.
Our experts help trading companies achieve maximum efficiency by automating various back-office tasks, such as user verification and KYC, commission calculation, data reconciliation, compliance management, reporting, accounting, and other time-consuming processes.
Itransition’s team equips trading software solutions with specialized pre-trade control systems that help users mitigate risks. We enable fat-finger error checks, paper trading, trade netting, fraud prevention, and customizable risk alert systems.
We implement multiple mechanisms for new user identity verification, like ID and biometric checks, and video verification, to help streamline KYC processes. We also equip trading software with various user authentication options to protect access to brokerage accounts, such as MFA, fingerprint scanning, facial recognition, passwords, and PIN codes.
Explore success stories from Itransition’s extensive portfolio of trading-related app development projects.
managed by users
Itransition developed a flagship stock trading product powered by bespoke AI algorithms and featuring web, desktop, and mobile applications for TradeSmith, a US stock market research tools provider. The platform helps individual investors make informed decisions and optimize their portfolios using features like real-time market data analysis, investment monitoring, and risk alerts.
with major Bitcoin exchanges
Our team created a trading platform that connects multiple cryptocurrency exchanges, enabling users to trade virtual currencies at the best rates from a single interface. The solution features automated order creation based on flexible trigger criteria, real-time currency price monitoring, financial statistics aggregation, and reporting.
Itransition offers a full scope of trading platform software development services to help customers design, build, modernize, integrate, and support solutions with solid functionality to facilitate different user activities, like options trading and day trading.
Our consultants study your business needs and operations, conceptualize your trading solution, including the architecture, tech stack, and monetization options, and provide advisory services throughout the implementation project, ensuring successful solution delivery and adoption.
We build feature-rich stock trading software solutions with a focus on user convenience, data security, and compliance. Based on your business needs, we equip them with solid trading and analytics capabilities, including those powered by AI, ML, data analytics, or blockchain.
We analyze outdated or underperforming stock trading platforms to detect areas for improvement and then implement necessary changes, including rearchitecting the software, developing new features, integrating it with new data sources or third-party solutions, or ensuring software compliance with new regulations.
Our engineers can set up integrations between a stock trading system and business process management software, market data aggregators, financial media, and other platforms to ensure data consistency and accuracy across the company’s IT ecosystem and integration of necessary market data for in-depth analytics.
Post-implementation, we are ready to provide L1, L2, and L3 support covering all your needs, including software functionality upgrades and management of software availability, performance, and security.
We choose the optimal tools for each stock exchange software development project, taking into account the desired functional scope, performance and scalability requirements, and budget limitations.
How has AI improved your business operations? (all respondents)
Scheme title: AI benefits in financial services
Data source: nvidia.com — State of AI in Financial Services: 2023 Trends Survey Report
Top AI use cases in financial services (excluding China)
We deliver machine learning-powered analytics solutions that forecast market fluctuations and upcoming scenarios based on historical and real-time market data, social media sentiment, news, and current market trends, enabling better trading decisions.
We equip stock trading solutions with algorithmic trading modules that monitor stock prices and automatically execute orders on your behalf based on preprogrammed rules, helping eliminate human bias in financial decision-making and perform trades faster.
We help trading companies thwart fraudsters and cybercriminals by implementing tools that use data mining and ML algorithms for anomaly detection in their stock trading software, allowing for quick identification of both known and new fraudulent strategies.
Whether it’s insider trading, churning, spoofing, wash trading, or other market manipulation techniques, our advanced fraud detection tools can spot suspicious behavior and trigger proper response measures.
Our team enhances your stock trading platform with virtual assistants powered by NLP that answer user questions, provide tailored financial advice, and quickly optimize clients' assets.
We can also implement smart bots into stock trading platforms to offer interactive, hyper-personalized customer support, driving user retention and engagement.
Itransition helps financial organizations implement blockchain technology in their trading operations to streamline transactions, enable operations with cryptocurrencies, facilitate portfolio tracking, and automate KYC processes.
We develop apps with smart contracts, enabling the automatic execution of financial transactions and ensuring their transparency and security through encrypted, shared records among participants.
Our team builds crypto exchange and trading platforms facilitating fast and secure cryptocurrency operations. We can also connect these solutions to third-party liquidity providers and equip them with high-throughput matching engines to enhance their liquidity, transaction speed, and scalability and provide a broader range of trading options.
Our fintech experts provide full-cycle custom trading software development services, guiding enterprises all the way through stock trading software adoption and beyond.
Business analysis & planning
Analyze the company’s business processes, workflows, and technology environment
Elicit the customer’s short-term and long-term business goals, as well as end-user needs and expectations
Elaborate the solution’s functional and non-functional requirements
Set up a roadmap defining the project's scope, budget deliverables, and timeframes
Conduct project risk assessment and create a risk mitigation plan
Design
Design user experience and user-friendly interfaces
Define software architecture, features, and integrations
Select an optimal tech stack
Deliver a PoC to verify the project’s feasibility, scalability, and financial viability
Development
Perform front-end and back-end development
For AI-based application development, carry out data pre-processing, modeling, and AI model integration into the solution
Set up platform integrations via pre-built connectors, APIs, or ESB
QA & testing
Perform functional, performance, compatibility, and security tests
Assess platform usability with focus groups
Address potential bugs and other issues affecting software components
Deployment & support
Deploy the solution to the target environment
Provide product demoing, user training, and support
Carry out ongoing performance monitoring and software maintenance
Implement regular software upgrades and functional improvements
Product architecture and functional scope (features, modules, UX/UI, etc.)
Technology stack and third-party licenses for tools and services used for trading software development
Data and software integrations with external sources and other systems
Data management mechanisms (data cleansing, annotation, transformation, and storage)
Team size and composition (project managers, business analysts, designers, back-end and front-end developers, QA engineers, etc.)
Post-development costs, including training, customer support, and maintenance initiatives, including updates and upgrades
Cost factors
Developing a stock trading solution from the ground up typically takes 6 months or longer. This time frame can vary based on project complexity, software features, team composition, and other factors.
Such a team usually includes a project manager, business analysts, UI/UX designers, front-end and back-end developers, QA engineers, DevOps engineers, and, if required, support specialists. The project can also require subject matter experts with specific expertise, such as AI or blockchain, depending on the software’s planned functionality.
We design fintech solutions that fully comply with the main standards and regulations applicable to the trading industry, such as GDPR, DORA, and PCI DSS. We also equip your software with solid cyber security features ranging from role-based access management to user activity monitoring and encrypted data exchange.
Insights
Explore predictive analytics use cases, real-life examples, and models for the financial sector, along with top platforms and implementation best practices.
Insights
Learn how banks can apply machine learning to improve customer engagement, streamline compliance, and drive more revenue.
Case study
Learn how Itransition developed iOS and Android applications for a European bond trader with over $1 billion raised in funds for their clients.
Insights
Explore how business intelligence and data analytics benefit the financial services sector and learn what capabilities, integrations, and tools make up a successful BI strategy.
Insights
Find out how the personalization of financial advice, pricing, and service offering can help banks deepen customer relationships.
Services & solutions
