10-day review of your trading platform development and infrastructure. We identify tick-to-trade latency bottlenecks, incident patterns in your matching engine and order management system, and provide an implementation roadmap with specific recommendations for financial markets.
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Organizations in financial markets where system performance and response times impact business results.
P99 and tick-to-trade latency increases with each new venue or instrument. Tail latency spikes during high-volume periods affect execution quality across asset classes.
UI responsiveness degrades during market volatility. Dashboard performance correlates with market data feed load.
Production releases carry performance regression risk. Testing coverage gaps exist for critical execution paths.
Similar incidents recur despite previous fixes. Root cause analysis depends on specific engineer availability.
End-to-end order flow tracing is incomplete. Time-to-detect and time-to-recover metrics are inconsistent.
Critical system knowledge concentrated in one or two engineers. Component ownership and documentation need improvement.
We'll help you with trading platform development - a matching engine, order management system, and exchange integration that works the way you need it to, from day one.
Audit first, then implementation based on findings.
Technical review of your system analyzing performance and deployment processes.
Based on findings, we suggest improvements: infrastructure fixes, new modules, or process changes.
You choose how to execute: with your team or with our engineers for 90-day implementation.
Core modules we bring in when assessment findings show the need.
Pre-trade checks with position limits, margin calculations, and exposure monitoring. Validates orders against risk parameters before routing.
Handles real-time price feeds and order book updates. Aggregates data from multiple venues with normalized formats and latency tracking.
Routes orders to exchanges with FIX protocol support. Manages full order lifecycle from submission through fills and cancellations.
Detailed roadmap with tasks, dependencies, effort estimates, and required roles. Each phase includes success metrics. Written so your team can execute independently or hand off to contractors.
Complete breakdown of P50/P95/P99 latency across all critical paths. Each bottleneck is tagged with severity (High/Medium/Low) and estimated impact on execution quality. Includes heatmaps showing where delays concentrate.
High-level overview for CTO/management: top 5 risks, expected outcomes from remediation, budget implications, and decision points for post-assessment options.
Categorized incident log with root cause patterns. Lists recurring issues by type (deployment, data, capacity), frequency, and business impact. Includes recommended fixes ordered by ROI.
See it. Trade on it. Ship it.
This is a live order book running in production right now. Renders ~8x faster than Binance, Bybit, OKX and every terminal we benchmarked against.
After the Audit
Choose how to execute the recommendations.
Take the deliverables and implement with your team.
Dedicated team executes improvements alongside your developers.
Structured approach completed in 10 working days.
Initial meetings with technical leadership to define assessment scope and critical flows. Setup of read-only access to monitoring systems, incident logs, and deployment history.
Deep analysis of system performance, incident patterns, release processes, and observability coverage. Data collection and performance profiling across identified critical paths.
Compilation of findings into structured deliverables. Development of risk prioritization matrix and detailed implementation roadmap with effort estimates.
Detailed walkthrough of all findings and recommendations with technical team. Q&A session and discussion of implementation options.
A deep dive into one of our most impactful trading infrastructure projects.
Built a high-performance trading infrastructure from scratch, combining real-time market data processing with ultra-low-latency order execution.
Client needed a trading platform capable of handling thousands of simultaneous orders with microsecond precision, while maintaining 99.99% uptime during peak market hours.
A trading platform is the software stack that enables buying and selling financial instruments electronically. At minimum, it includes a trading terminal (the user interface where traders place orders and monitor markets), an order management system (OMS) that tracks order lifecycle from entry to settlement, and exchange connectivity via protocols like FIX. More advanced platforms add a matching engine for internal order matching, real-time risk management, order book visualization, and a scalping panel for high-frequency strategies. The best trading platforms process orders in microseconds while running pre-trade risk checks on every transaction.
A matching engine is the core component of any exchange or trading venue. It receives buy and sell orders, matches them based on price-time priority, and generates trades. Latency matters because in competitive markets, the faster your matching engine processes orders, the better the execution quality for your users. A slow matching engine means missed fills, worse pricing, and lost traders. Modern matching engines built in Rust or C++ achieve sub-microsecond matching times using lock-free data structures and kernel-bypass networking. Our matching engines process orders 1.5x faster than standard market solutions.
FIX (Financial Information eXchange) is the standard messaging protocol used by banks, brokers, and exchanges worldwide to communicate trading information. FIX protocol handles order routing, execution reports, market data distribution, and post-trade processing. Versions 4.2 and 4.4 are the most widely deployed. When you build a trading platform, FIX integration is how you connect to stock exchanges like MOEX, LSE, or NYSE. The protocol defines message types for new orders, cancellations, fills, and position updates - giving your platform a standardized way to talk to any FIX-compatible venue.
An order management system tracks every order from the moment a trader clicks buy or sell until final settlement. It handles order validation (checking margin, position limits, and compliance rules), smart order routing (deciding which venue gets the order), execution management (monitoring fills and partial fills), and post-trade processing (allocations, confirmations, settlement instructions). A well-built OMS runs pre-trade risk checks in under 1ms, maintains a real-time view of all positions and P&L, and generates complete audit trails for regulatory compliance.
Real-time risk management evaluates every order against a set of rules before it reaches the exchange. Pre-trade checks include position limits (maximum exposure per instrument), margin requirements (sufficient collateral), order size validation (preventing fat-finger errors), and rate limits (detecting runaway algorithms). These checks must execute in sub-millisecond time to avoid adding latency to the trading flow. Post-trade, the risk system monitors aggregate exposure, calculates real-time P&L, and can trigger circuit breakers if thresholds are breached. The key is embedding risk logic at the matching engine level rather than bolting it on as a separate layer.
Off-the-shelf trading platforms offer faster time-to-market but limit your control over performance, customization, and data ownership. You pay ongoing license fees and compete with every other firm using the same software. A custom-built trading platform gives you proprietary technology: your own matching engine tuned to your specific instruments and markets, custom risk rules, unique UI workflows, and full ownership of the codebase. The tradeoff is development time - typically 3-6 months for an MVP. Firms that compete on execution speed, offer unique instrument types, or need deep exchange integration almost always build custom.
Schedule a 15-min call to determine if an assessment would be valuable for your trading infrastructure.