North Rose Technologies
Trading Platform Development

Trading Platforms Built for Microsecond Decisions

In trading, latency isn't a performance metric — it's money. We build order management systems, market data platforms, and algorithmic trading engines where every millisecond is measured, optimized, and accounted for.

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What is Trading Platform Development?

Trading platform development is the engineering of systems that execute, manage, and analyze financial market transactions. This includes order management systems (OMS), execution management systems (EMS), market data processing, portfolio analytics, and risk management engines. The technical requirements are among the most demanding in software: sub-millisecond latency for order routing, deterministic processing for fair queuing, and 100% data integrity because a lost order in a volatile market can cost millions. These systems run on the FIX protocol, process WebSocket feeds at thousands of messages per second, and must never go down during market hours.

  • FIX 4.2/4.4/5.0 protocol support for broker and exchange connectivity
  • Real-time market data processing via WebSocket and multicast feeds
  • Sub-millisecond order routing with smart order routing across venues
  • Portfolio risk calculation engines running Monte Carlo simulations in real-time
Capabilities

What We Build for Trading

From retail trading apps to institutional OMS/EMS systems — we cover the full trading technology stack.

Order Management Systems

Full-lifecycle order management with FIX connectivity, multi-venue routing, partial fill handling, and allocation workflows. Support for equities, options, futures, forex, and crypto asset classes.

Low-Latency Execution Engines

C++ and Rust execution cores with kernel bypass networking, lock-free data structures, and co-located deployments. Median order-to-fill latency under 500 microseconds for supported venues.

Market Data Infrastructure

Normalized market data feeds from exchanges, consolidated tape providers, and alternative data sources. Tick-level storage in time-series databases handling billions of records with microsecond-precision timestamps.

Algorithmic Trading Frameworks

Backtesting engines, strategy execution containers, and signal generation pipelines. Python for research and prototyping, C++ for production execution. Walk-forward optimization to avoid curve-fitting traps.

Risk Management & Compliance

Pre-trade risk checks (position limits, order size, fat finger protection), real-time P&L tracking, and regulatory reporting (MiFID II, Reg NMS, CAT). Kill switches that halt trading in under 10 milliseconds.

Trading Dashboard & Analytics

Real-time portfolio views, execution quality analysis (VWAP, TWAP, implementation shortfall), and TCA reporting. WebSocket-driven UI that updates positions and P&L in real-time without page refreshes.

Use Cases

Who Needs Custom Trading Platform Development?

When Bloomberg Terminal and off-the-shelf OMS platforms can't match your trading strategy or workflow.

Prop Trading

Proprietary Trading Firms

Custom execution systems tuned for specific strategies — stat arb, market making, momentum. One prop firm reduced their median execution latency from 2.3ms to 0.4ms after migrating from a vendor OMS to our custom stack.

Retail Brokerage

Retail Trading Platforms

Robinhood-style trading apps with fractional shares, commission-free trading, and gamified experiences. Real-time price streaming, instant deposits, and portfolio visualization that makes investing accessible.

Crypto Trading

Crypto Exchanges & Trading Desks

Matching engines, custody integration, and cross-chain settlement. Built a crypto OTC desk that processes $50M+ daily volume with automated hedging across 5 exchanges and sub-second quote updates.

Asset Management

Asset Managers & Hedge Funds

Portfolio management systems with multi-asset class support, rebalancing automation, and investor reporting. NAV calculation engines that handle complex fund structures including master-feeder and fund-of-funds.

Our Approach

How We Build Trading Platforms

Trading systems demand precision engineering. Here's how we deliver it.

Step 1

Trading Workflow & Latency Analysis

We map your order flow from signal generation to execution confirmation. We measure current latency at every hop, identify bottlenecks, and define target performance metrics. Understanding your trading strategy shapes every architectural decision.

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Step 2

System Architecture & Protocol Design

FIX session configuration, market data feed selection, and infrastructure topology. We decide where to use C++ (execution paths), where Java/Scala works (risk engines), and where Python fits (research). Each component gets its own latency budget.

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Step 3

Core Engine Development

Build the matching engine, order router, or execution management system. Continuous benchmarking against latency targets. We profile at the CPU instruction level — cache misses and branch mispredictions matter at microsecond scales.

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Step 4

Integration & Simulation Testing

Connect to exchange simulators and replay historical market data through the system. Stress testing with 10x peak message rates. Verify FIX message handling for every order state transition including partial fills, rejects, and bust notifications.

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Step 5

Production Deployment & Market Launch

Staged rollout starting with paper trading, then small live positions. Co-location setup if required. Production monitoring with tick-level latency tracking and automated alerts for execution quality degradation.

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Engagement Models

Trading Platform Development Pricing

Trading infrastructure is specialized engineering. Pricing reflects the domain expertise required.

Retail Trading Application

A user-facing trading app with market data, order execution, and portfolio tracking. Best for fintech startups building consumer-facing investment products.

Custom pricing based on your requirements

  • Real-time price streaming and charts
  • Order execution via broker API integration
  • Portfolio tracking and performance analytics
  • iOS and Android mobile applications
  • Regulatory compliance (KYC, suitability)
Most Popular

Institutional Trading System

Full OMS/EMS with FIX connectivity, multi-venue routing, algorithmic execution, and compliance controls. For professional trading operations.

Custom pricing based on your requirements

  • FIX protocol connectivity to exchanges and brokers
  • Smart order routing across multiple venues
  • Pre-trade and post-trade risk management
  • Algorithmic execution strategies (VWAP, TWAP)
  • Real-time P&L and position management
  • Regulatory reporting (MiFID II, Reg NMS)

Trading Technology Consulting

Architecture review, latency optimization, and exchange connectivity assessment for existing trading systems.

Custom pricing based on your requirements

  • System architecture review and recommendations
  • Latency profiling and optimization plan
  • FIX connectivity assessment
  • Market data infrastructure review
  • Technology vendor evaluation
All plans include a free consultation and project assessment
FAQ

Trading Platform Development Questions Answered

Quick answers to the questions we hear most often.

Still have questions?

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It depends on the architecture tier. Software-level optimizations in Java/C++ with kernel bypass networking achieve median latencies of 20-100 microseconds. FPGA-based systems get to single-digit microseconds. For most clients, sub-millisecond is the practical target that balances performance with development cost.

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