About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Blogs

Prescient Ridge Management Tries On Made-to-Measure From Connamara Systems

Subscribe to our newsletter

Managed futures fund Prescient Ridge Management (PRM) is turning to Connamara Systems and its Made-to-Measure trading suite to support its expansion into new markets, using new trading strategies. Made-to-Measure (MtM) bridges build versus buy development approaches by providing pre-built components that can be augmented by proprietary code to form complete trading systems.

PRM currently trades equity indices, fixed income, commodities, energy and metal futures contracts in the U.S. and Europe. By leveraging MtM, it will be able  to add additional futures contracts on additional exchanges in Asia and parts of Europe, says PRM president Alan Swimmer. MtM allows PRM to “focus on the fund’s new trading ideas by improving efficiency and increasing scalability,” adds Swimmer.

Initially, PRM will be building upon MtM’s Position Server, DB Recorder, Messaging Subsystem, Risk UI, Trade Signal Translator, FIX Order Adapter and Connamara API components. Longer term, Connamara will be providing engineering and development services to expand the platform into new markets and asset classes.

MtM provides a range of components for market data and exchange connectivity, low-latency and high-frequency trading, trade aggregation and risk. In a typical rollout, around 75% of the functionality is covered by MtM, with 25% custom code being written, estimates Jim Downs, CEO and Founder of Connamara.

While MtM has been built for low latency trading, that’s not the primary focus of PRM, says Downs, who says that factors such as scalability, reliability and maintainability are driving the firm’s engineering decisions.

Downs says MtM was introduced about three years ago and is in use by hedge funds, proprietary trading firms, exchanges and FCMs. Future plans call for additional adaptors for order routing and market data, as well as enhanced risk functions for enterprise risk management.

Connamara also develops and offers the QuickFix open source FIX engine, in both Java and .Net versions.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: How to move to a modern, component based trading architecture using a Buy AND Build approach

To remain competitive in today’s electronic markets, firms need trading architectures that support rapid innovation, effortless integration of new capabilities, and the agility to respond to shifting market demands. This is prompting technology leaders to move beyond the traditional “Buy vs. Build” debate, a false dichotomy that oversimplifies the choice between generic, off-the-shelf platforms and...

BLOG

Quantum Readiness in Trading: Why Cryptography and Data Governance Matter More Than Qubits

Quantum computing is becoming one of the most widely discussed emerging technologies in financial markets infrastructure. In industry commentary, the technology is often framed either as a revolutionary engine for trading performance or as an existential threat to the cryptographic systems that secure global finance. In practice however, the near-term impact is likely to be...

EVENT

ExchangeTech Summit London

A-Team Group, organisers of the TradingTech Summits, are pleased to announce the inaugural ExchangeTech Summit London on May 14th 2026. This dedicated forum brings together operators of exchanges, alternative execution venues and digital asset platforms with the ecosystem of vendors driving the future of matching engines, surveillance and market access.

GUIDE

AI in Capital Markets Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...