Trading Systems Built for
Speed and Correctness.
We build trading infrastructure on Scala and the JVM where latency is measured in microseconds and incorrect state is not a bug. It is a loss. Order matching engines, market data systems, and risk infrastructure built for firms where performance and correctness are both non-negotiable.
μs.
Latency target
JVM.
Native performance
FP.
Correct by construction
0x
Tolerance for data loss
Why Scala for trading systems
Trading infrastructure demands a language
built for speed and correctness together.
What we build
Scala trading systems capabilities.
01
Order matching engines
High-performance order matching on the JVM.
We build order matching engines that process limit orders, market orders, and complex order types with the throughput and latency profiles that exchange-grade infrastructure requires. Built on Akka and Pekko actor systems with the type-safe order modeling that prevents incorrect fills.
02
Market data infrastructure
Real-time market data feeds and distribution systems.
We build market data ingestion, normalization, and distribution systems that handle high-frequency tick data, order book updates, and trade events at scale. Built on FS2 and Akka Streams with backpressure and exactly-once semantics for the data integrity that downstream systems depend on.
03
Algorithmic trading infrastructure
Execution infrastructure for algorithmic strategies.
We build the execution infrastructure that algorithmic trading strategies run on: order routing, smart order routing, execution algorithms, and the low-latency API layers that connect strategies to venues. Built in Scala with the correctness guarantees that algo trading demands.
04
Real-time risk systems
Pre-trade and post-trade risk calculation engines.
We build real-time risk engines that calculate pre-trade risk checks, position limits, and exposure metrics with the latency profile that live trading requires. Post-trade risk aggregation on Apache Spark for the regulatory reporting and end-of-day reconciliation that firms depend on.
05
FIX and venue connectivity
FIX protocol and exchange connectivity layers.
We build FIX protocol engines and exchange connectivity layers that handle order routing, execution reports, and market data subscriptions across multiple venues. Built for the reliability and session management that production venue connectivity requires, with failover and reconnection built in.
06
Trade analytics and reporting
Trade history, P&L, and regulatory reporting systems.
We build trade history, P&L attribution, and regulatory reporting systems on Apache Spark and Scala. Immutable event logs, reproducible calculations, and the audit trails that compliance teams and regulators require, built for the data volumes that active trading firms generate.
Built for trading
The four properties every
trading system must deliver.
01
Low latency
Order processing, risk checks, and market data updates happen in microseconds. Latency is an engineering constraint, not a target you try to hit after the system is built.
02
Determinism
Given the same inputs, the system produces the same outputs every time. Reproducible order matching, deterministic P&L calculation, and auditable trade history.
03
Fault tolerance
Individual component failures do not cascade into system-wide outages. Supervisor hierarchies, circuit breakers, and graceful degradation built into the architecture from the start.
04
Correctness
Invalid order states, incorrect position calculations, and race conditions in order matching are caught by the type system before they reach production. Correctness is enforced, not tested for.
Common questions
Questions we get before the first call.
If your question isn't here, it takes one conversation to answer it.
Talk to us →Do your engineers have experience with production trading systems specifically?
Yes. We match clients with engineers who have built trading infrastructure in production: order matching engines, market data systems, FIX connectivity, and risk engines. General Scala experience is a baseline, not the qualification.
Can you work with our existing FIX infrastructure and venue connections?
Yes. We work within your existing connectivity and extend it. Whether you're on a custom FIX engine or a third-party solution, our engineers understand the protocol and the operational requirements well enough to work with what you have.
Our system is latency-sensitive. How do you approach performance optimization?
We start by measuring. Profiling, identifying actual bottlenecks, and optimizing with data rather than assumptions. JVM tuning, GC optimization, and algorithmic improvements all have their place. The right approach depends on where the latency is actually coming from in your system.
We have a Java-based trading system. Can you migrate it incrementally?
Yes. Scala and Java interoperate directly on the JVM. We can migrate component by component, starting with the parts that benefit most from Scala's type system and concurrency model, without taking the whole system offline during the transition.
Do you work on buy-side, sell-side, or both?
Both. Buy-side infrastructure (execution management, strategy engines, portfolio systems) and sell-side infrastructure (order management, market making, connectivity) present different engineering problems. Our engineers have worked across both contexts.