Stock trading software development services

Stock trading software development services

Trading software we develop

Drawing on our expertise in financial software development, we deliver multiple types of trading systems, platforms, and mobile apps, addressing the unique needs of your organization and customer base.

Trading software we develop

We create online trading platforms accessible via web browsers and enabling users to monitor stock prices, place orders for financial products, track all positions executed, and automate operations via algorithmic trading features.

Itransition delivers mobile trading applications for Android and iOS featuring an intuitive UI/UX design and 24/7 access to a full set of trading and investment functionalities for seamless trades on the go and real-time asset monitoring.

Our development team can build data analytics systems that enable investors and traders to perform fundamental and technical analysis, explore market sentiment and volatility, backtest investment strategies, and predict stock price trends.

Our company creates solutions designed to help asset managers build, monitor, and rebalance model portfolios with features like financial data aggregation, stock tracking, position size calculators, and multi-custodian integration.

We develop smart contracts based on your chosen blockchain ecosystem to automatically execute financial transactions and ensure transparency and security via encrypted records shared across participants.

Itransition helps financial organizations implement blockchain technology in their trading operations to streamline transactions, facilitate portfolio tracking, and automate anti-money laundering and KYC processes.

Itranstions’ team develops crypto exchange and trading platforms that can be connected to third-party liquidity providers and equipped with high-throughput matching engines while fulfilling compliance requirements.

Looking to develop stock trading software?

Turn to Itransition

Our stock trading expertise

Trading algorithms

Our team helps companies implement various trading algorithms (including machine learning and deep learning ones) for stock and cryptocurrency markets, enabling bias-free decision-making, operational cost savings, and trading automation.

  • Cycles analysis and algorithms
  • Trade execution algorithms
  • Arbitrage opportunity identification
  • Market making algorithms

Risk management

Itransition’s experts develop financial software solutions with specialized pre-trade control systems that help users mitigate risks through more accurate interactions while ensuring that latency requirements are met.

  • Fat-finger error checks
  • Fraud prevention
  • Trade netting
  • Customizable alert systems

Back-office automation

Itransition helps trading companies achieve maximum efficiency by automating various back-office tasks that involve user verification, commission calculation, data reconciliation, compliance, reporting, and other time-consuming processes.

  • User verification/KYC
  • Document management
  • Accounting
  • Regulatory, internal and client reporting

Market data integration

We integrate your solution with market intelligence platforms, data aggregators, and financial news feeds, enabling access to real-time and historical data, synchronization of brokerages’ portfolio across user accounts, and reliable data analysis based on verified information.

Client spotlight

Take a look at these success stories from Itransition’s extensive portfolio of trading-related development projects.

Investment portfolio management platform

$20+ bn

managed by users

Itransition developed TradeSmith's flagship product, a stock trading-oriented suite of web, desktop and mobile applications powered by AI algorithms. The platform helps individual investors optimize their portfolios through real-time market data analysis, investment monitoring, and risk management alerts.

Cryptocurrency exchange platform

5+ connections

with major Bitcoin exchanges

Our team created a trading platform that connects multiple cryptocurrency exchanges, enabling users to trade on the best rates from a single interface. The solution’s feature set includes automated order creation based on flexible trigger criteria, real-time financial statistics aggregation, and reporting tools.

Must-have features of stock trading software

The feature set of a custom stock trading solution or forex or crypto trading platform can be fully personalized based on your business goals. Here are some essential functionalities you should prioritize.

Registration & login

Creating and accessing user accounts through various authentication options, such as passwords or pin codes


Verifying users’ actual identity and preventing fraud via ID and biometric checks or video selfie verification

User profile

Updating personal information, tracking trading activity, and selecting preferences for payments and notifications

Order execution

Issuing orders for buying and selling equities or automating the process via take-profit and other triggers


Enabling and processing transactions or deposits of funds to user accounts via payment gateways


Keeping track of key market metrics (prices, volatility, risk quotient, etc.) to optimize trades and investments

Turning financial data sets into interactive charts, graphs, and visual reports to get an in-depth view of the market


Reporting news such as IPOs and M&As from reputable sources to inform users on the latest market trends

Custom search

Searching for investment opportunities across stock and asset catalogs faster through personalized filters

Push notifications

Notifying users with custom messages and price, time, or option alerts for streamlined trading and communication


Ensuring platform’s profitability via payment for order flow, fees, interests, subscription, and in-app ads

Streamline trading operations with Itransition’s solutions

Get in touch

AI-enhanced stock trading

Experienced in artificial intelligence and related technologies, Itransition can augment your solution with AI-powered capabilities to forecast market trends, automate trading operations, and provide your customers with a superior user experience.

Scheme title: AI adoption and impact on trading
Data source: — The future of trading technology in 2024

Note: *Clearance/Settlement, middle-oce processing, performance optimization and quantitative models. Based on 107 respondents.

Drawing on historical data, social media sentiment, news, and current market trends, Itransition’s ML-powered solutions can forecast market fluctuations and upcoming scenarios, enabling better trading decisions. Our holistic ML and fintech expertise helps us adjust algorithms to highly volatile stock markets, ensuring that no trading signals are missed.

We help companies fight fraudsters and cyber criminals with ML algorithms for anomaly detection and data mining techniques to identify both known and new fraudulent trading strategies.

Whether it’s insider trading, churning, spoofing, wash trading, or other market manipulation techniques, advanced fraud detection systems will spot suspicious behavioral patterns and trigger proper measures.

Algorithmic & high-frequency trading

Itransition can equip your solution with algorithmic trading modules to rule out human bias in financial decision-making and perform trades faster. You can rely on artificial intelligence algorithms to monitor stock prices and automatically execute orders on your behalf based on extensive sets of preprogrammed rules.

Robo-advisors & chatbots

Itransition’s team enhances your stock trading platform with virtual assistants powered by NLP and designed to answer user queries, provide tailored financial advice, and quickly optimize clients' assets. Leverage smart bots to automate customer-facing operations and offer an interactive, hyper-personalized user experience, driving retention and engagement.

Stock trading development roadmap

Our team of fintech experts provides full-cycle custom trading software development services, guiding enterprises all the way through stock trading software adoption and beyond.


Business analysis

Elicit the customer’s business goals, end-user needs, and expectations

Analyze the company’s business processes, workflows, and technology environment

Detail the solution’s functional and non-functional requirements

Set up a roadmap defining the project's scope, budget deliverables, and timeframes



Define the product’s usage scenario, user personas, navigation, and interactive components

Prepare a specification covering software architecture, features, interface wireframes, and integrations

Select an optimal technology stack and suitable data sources

Deliver a PoC to ensure the project’s feasibility and financial viability



Perform front-end and back-end development through short iterations based on the Agile methodology

For AI-based software, carry out data pre-processing, modeling, and AI model integration into the architecture

Configure the 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

Types of trading platforms

Itransition develops custom stock trading platforms to meet the goals and requirements of different user bases, whether they’re private investors or professional traders operating in corporate scenarios.

Commercial platforms

Our software engineers deliver platforms designed for day traders or retail investors and equipped with intuitive features, including real-time stock quotes, interactive charts, news feeds, and user guides. Most tools in this category are either free to use or require a minimum account balance and number of monthly transactions defined by their terms and conditions.

Examples of commercial trading platforms:

  • TradingView
  • Binance
  • eToro
  • Coinbase

Proprietary platforms

We build enterprise-grade custom trading platforms tailored to specific trading styles and activities of brokerages, banks, and other financial institutions. These systems are intended for in-house use and can be equipped with very advanced features to compete with other major players in the financial market.

Examples of proprietary trading platforms:

  • FTMO
  • Topstep
  • SurgeTrader
  • FundedNext

Trading software development costs

The cost of building a stock trading solution can range widely according to multiple factors. Itransition offers three engagement models with different pricing systems to fully meet the budget expectations and project requirements of different customers. Consult our experts for a more accurate estimate based on your specific scenario.

Cost factors

    Cost factors

    • Product architecture and functional scope (features, modules, UX/UI, etc.)
    • Technology stack and third-party licenses, such as cloud-based tools and services
    • Data and software integrations with external sources and other systems
    • Data management tasks (data cleansing, annotation, transformation, and storage)
    • Solution accuracy requirements, including AI model performance
    • Team composition (project managers, business analysts, designers, back-end and front-end developers, QA engineers, etc.)
    • Training, support, and maintenance initiatives, including updates and upgrades

    Engagement models

      Engagement models

      • Dedicated team

      Itransition provides a scalable team of selected developers for long-term collaboration with a flexible project scope. The price depends on the time spent to accomplish the required tasks.

      • Time & material

      We provide expert developers for a set fee. The final cost is based on the person-hours and materials spent on the project to best fit your changing requirements.

      • Fixed-price

      Itransition’s developers will join your project for a fixed price according to the defined scope, budget, and timeline.


      How long does it take to develop stock trading software?

      Developing a stock trading solution from the ground up typically takes from 6 months and longer. This time frame can vary based on project complexity, software features, team composition, and other factors.

      What’s the team composition of a trading software development project?

      The team of experts involved usually includes a project manager, business analysts, UI/UX designers, front-end and back-end developers, QA engineers, DevOps engineers, and support engineers. The project can also require more specific roles, such as AI engineers, depending on the software’s functionality.

      How do you protect my stock trading software and data assets?

      We design fintech solutions in full compliance with the main standards and regulations applicable to the financial industry, such as GDPR, PCI DSS, OWASP, and MISMO. We also equip your software with solid cyber security features ranging from role-based access management to user activity monitoring and encrypted data exchange.

      A guide to predictive analytics in finance


      A guide to predictive analytics in finance

      Learn how financial institutions can apply predictive analytics in finance to minimize risks, decrease operational costs, and improve their bottom lines.

      Machine learning in banking: 8 use cases and implementation guidelines


      Machine learning in banking: 8 use cases and implementation guidelines

      Learn how banks can apply machine learning to improve customer engagement, streamline compliance, and drive more revenue.

      Trading platform software development

      Case study

      Trading platform software development

      Learn how Itransition developed iOS and Android applications for a European bond trader with over $1 billion raised in funds for their clients.

      Business intelligence for finance: capabilities, tools, and integrations


      Business intelligence for finance: capabilities, tools, and integrations

      Explore how business intelligence and data analytics benefit financial services and what capabilities, integrations, and tools make a successful BI strategy.

      Using AI to scale wealth management


      Using AI to scale wealth management

      Discover how wealth management companies use AI to generate more leads, automate back-office tasks, improve customer relationships, and improve bottom lines

      Reimagining banking with personalization


      Reimagining banking with personalization

      Find out how the personalization of financial advice, pricing, and service offering can help banks deepen customer relationships.