Broker API Integration
Connect trading strategies, execution systems, analytics software, and external trading tools to broker APIs for order execution, account data, positions, fills, and synchronization.
We build custom integrations that connect trading software, strategies, platforms, brokers, exchanges, market data services, and external trading software through existing APIs, trading interfaces, and supported connectivity protocols.
Nordman Algorithms provides custom trading API integration services for projects that need trading software, strategies, platforms, brokers, exchanges, market data services, or external systems to communicate reliably. We integrate with existing APIs and connectivity interfaces; the service focuses on connecting trading systems rather than creating a standalone API product.
An integration can be built for a focused task such as market data or order execution, or for a broader workflow that combines authentication, real-time data, account state, symbol mapping, order lifecycle management, routing, synchronization, logging, and recovery logic. The architecture is selected around the interfaces and technical constraints of the connected systems.
Some integration projects are large enough to become their own specialized service. Broker APIs, crypto exchanges, market data, and FIX each have their own technical requirements, while this page covers the broader trading API integration workflow.
Connect trading strategies, execution systems, analytics software, and external trading tools to broker APIs for order execution, account data, positions, fills, and synchronization.
Connect trading systems to cryptocurrency exchanges for real-time data, spot or derivatives trading, account state, and automated execution through exchange interfaces. Typical exchange environments can include Binance, Bybit, OKX, and other exchanges with suitable REST and WebSocket interfaces.
Integrate real-time and historical financial data feeds with trading models, research workflows, databases, analytics systems, dashboards, and monitoring tools.
Implement FIX connectivity for professional broker, venue, execution, or market-data environments that provide FIX access and technical specifications.
Connect external trading software to platform APIs, native interfaces, extensions, or platform-side bridge components.
Connect Python, C#, analytics engines, proprietary trading systems, servers, databases, and other external software to existing trading interfaces.
Build adapters, bridges, normalization, routing, and synchronization layers when connected systems cannot communicate directly.
An integration can cover one part of the trading workflow or combine several functions — for example market data, order execution, and account synchronization.
Receive real-time prices, quotes, ticks, order book data, volume, instrument information, and other market data available through the connected interface.
Retrieve historical bars, ticks, trades, or other supported datasets for charting, analytics, research, and strategy testing.
Submit, modify, and cancel orders; process fills, partial fills, rejections, stop-loss and take-profit changes, and supported execution events.
Access balances, margin, positions, working orders, account status, and other supported account information for monitoring, risk management, and synchronization.
Real-time, historical, or combined data integrations can be assessed for providers such as Massive (formerly Polygon.io), Databento, and Alpaca Market Data, as well as broker- or exchange-provided feeds.
The integration layer makes two systems work together. It handles access, translates symbols and data, checks instructions, sends trading actions, keeps account state synchronized, and recovers from connection problems.
Handle API keys, OAuth, tokens, certificates, sessions, permissions, renewal, and provider-specific access requirements.
Match symbols, contracts, IDs, timestamps, price formats, and data structures so both systems interpret the same information correctly.
Check the instruction, account state, order type, quantity, symbol, and project-specific rules before anything is sent for execution.
Translate approved actions into the destination format and route orders, modifications, cancellations, or data requests to the correct connection.
Keep orders, fills, positions, balances, and account updates synchronized between the connected systems.
Handle rate limits, retries, reconnects, duplicates, timeouts, rejected operations, unavailable endpoints, logging, and reconciliation.
API integration can sit at different stages of a trading system. These examples show how market data, strategy logic, risk controls, execution, and account state connect in real projects.
Real-time prices, ticks, order book data, or other feeds are received, normalized, and passed into the strategy or analytical logic.
Historical bars, ticks, trades, or other datasets are retrieved for research, calculations, strategy validation, and backtesting workflows.
The strategy generates a trading decision, account and risk rules determine order size, and the approved instruction is sent to the broker for execution.
REST and WebSocket connections feed market and account data into the trading logic while orders and management commands are sent back to the exchange.
A shared strategy layer routes trades through different broker connections while adapters handle symbols, account rules, order formats, and connection-specific behavior. For example, one strategy layer can route through Interactive Brokers, Tradovate, or other supported broker/execution interfaces while maintaining separate mapping and account logic.
Execution reports, fills, working orders, balances, positions, and account events are synchronized back into the trading and monitoring environment.
The connection method depends on the target environment. Some systems provide a direct external API, while others need a native platform component, connector, or bridge.

Connect custom trading or analytics software to supported Interactive Brokers interfaces for data, account information, and order execution workflows. Integrations can be built around the IBKR TWS API, IB Gateway, or IBKR Web API, depending on the required workflow.

Connect external trading software to MT5 workflows using the appropriate integration architecture, including platform-side components when direct external access is limited.

Integrate external trading software, analytics engines, or servers with NinjaTrader through native components and project-specific connectivity logic.

Build custom integrations around cTrader connectivity for trading, account, data, or external-system workflows.
Not listed above doesn't mean unsupported — many other brokers, exchanges, platforms, and data providers can still be integrated. Share whatever API or interface documentation is available (a link is usually enough) and we'll assess whether REST, WebSocket, FIX, webhook, or another connectivity method fits the project.
The protocol is selected by the connected service and the workflow required. A single project may combine several methods.
Request-response operations for account data, historical data, instruments, order actions, configuration, and other supported endpoints.
Persistent connections for streaming market data, order updates, account events, and other real-time messages exposed by the provider.
Structured broker or venue connectivity for professional execution and data workflows where the target environment provides FIX access.
Official client libraries or SDKs, event-driven webhooks, native platform extensions, and other interfaces used when REST or WebSocket alone is not the correct architecture.
We start with the systems you need to connect and the available API documentation, then define the data flow, build the integration, test failure scenarios, and prepare it for deployment.
Send the systems you need to connect and the technical information available for each side of the integration.
The delivery package depends on the final architecture and the connected environment.
Practical development experience, clear project terms, and trading-focused communication from request to delivery.
Common questions about broker APIs, trading platform integrations, REST, WebSocket, FIX, market data, and execution connectivity.
Trading API integration connects existing trading software with a broker, exchange, trading platform, market data service, or external system through an available API, protocol, client library, or native interface. The integration can exchange data, send trading actions, receive account state, or combine several functions in one workflow.
As a trading API developer, we integrate with existing APIs and supported connectivity interfaces. We can build the adapters, middleware, connectors, and platform-side components required for the integration, but we do not build a standalone API as the product itself.
Depending on the broker API, an integration may handle market data, historical data, orders, modifications, cancellations, fills, positions, balances, margin, account status, and other supported functions. The exact scope depends on what the provider exposes.
REST is commonly used for request-response operations such as account queries, historical data, configuration, and supported order actions. WebSocket connections are commonly used for streaming data and real-time events. Many trading integrations use both.
Yes, when the target broker, venue, or provider offers FIX access and the project requirements match the available FIX sessions, message flows, permissions, and infrastructure.
Yes, subject to technical assessment. A multi-API architecture can use separate adapters for each broker or provider while exposing a normalized internal model to the core trading system.
Yes, when the target platform provides a suitable API, official client library, or integration path. Where direct external access is limited, the architecture may require a native platform-side component that communicates with the external trading software.
No. API capabilities vary by broker, exchange, platform, account type, permissions, and subscription. A project can use only the functions actually exposed by the target interface.
Depending on the project, the integration can include reconnect logic, retries, timeouts, duplicate protection, rate-limit handling, logging, reconciliation, and defined responses to rejected or unavailable operations.
We normally need the source and destination systems, available API or interface documentation, required data and execution flow, account or routing requirements, authentication method, and any available sample payloads, sandbox access, or reference implementation.
Credential handling is agreed before development. Where the provider supports it, sandbox or demo access and restricted API permissions are preferred for testing. Production access is configured according to the final deployment architecture and the provider’s security model.
A straightforward, well-documented single-provider integration may take around 1–2 weeks. Multi-API, FIX, complex execution, native platform components, or extensive testing can extend the timeline. We confirm the schedule after the technical assessment.
If a provider later versions, changes, or deprecates an interface used by the integration, the required update can be reviewed and scoped as follow-up work. The impact depends on what changed and which parts of the integration are affected.
Yes. Source code and full IP ownership are transferred on final delivery and full payment unless a different arrangement is agreed in writing for a specific project.
Send us the systems you need to connect, the available API or interface documentation, and a short description of the required data, execution, account, or synchronization workflow. We will review the technical feasibility and define the integration scope.