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

HPR Reaches Goal of Delivering a Consolidated View of Real-Time Global Trading Risk with CRM-X

Subscribe to our newsletter

HPR – aka Hyannis Port Research – has reached the goal of a consolidated view of global trading risk across equities markets with CRM-X, the latest version of its Central Risk Manager (CRM), which supports a regional view of trading risk. CRM-X acts as a manager of managers and can be positioned anywhere to parent regional CRM devices and provide both regional and global views of risk across a trading organisation.

CRM-X provides management teams with a single view of risk across 90 equity markets globally, despite their disparate regulatory requirements, currencies and market structures, and will be extended to cover other asset classes, initially futures and options in the third or fourth quarter of this year.

Anthony Amicangioli, founder and CEO at HPR, says CRM-X hits the operational goal of providing brokers and trading organisations with a global, rather than regional, real-time risk management system. The solution can also provide benefits around capital management, allowing trading firms to move to a more global use of capital in a more contiguous manner, and also drill down to regional activity to apply capital across regions. Firms can also begin to look at global rather than regional portfolio analysis.

CRM-X also acts as a portal for data collection and delivery to the back-office, where the data can be used for activities such as clearing on a global rather than regional basis. The product’s first user is in this space, using CRM-X for pan-APAC clearing, planning to extend this use to Europe and probably further to provide global clearing.

Amicangioli says HPR occasionally comes across vendor competitors in the market, usually Nasdaq with its FTEN risk management and Smarts market surveillance platform, but other than that, competes with internally built solutions. It is here that the company often finds success, either through the attrition of solutions and the need for new technology, or at firms that fear they are falling behind in the technology race.

HPR’s high performance trading solutions, including CRM-X, CRM, Omnibot, a networking device that integrates direct market access, risk management, data delivery and latency in a multi-application switch, and Riskbot, an ultra-low latency market access and pre-trade risk management system, are provided as managed services powered by the company’s Unimus framework, a highly unified, service oriented architecture that underpins the technology stack.

Amicangioli notes increasing industry interest in moving towards a global trading grid that emulates the service-oriented architectures used by large cloud-native technology companies, and says CRM-X on the Unimus framework plays well into this move.

Established in June 2011, HPR set out as a general provider of low-latency connectivity, but has since moved away from a focus on latency to deliver what Amicangioli describes as a ‘latency capable infrastructure that is widely available’. He comments: “This means the land of haves and have nots should be democratised over time.”

Looking forward, Amicangioli says HPR will grow to deliver every element that makes up capital markets high performance trading infrastructure and will develop solutions in a timeframe to relieve clients’ pain points. On the list for potential development this year are super smart order routers (SORs), improved data delivery within trading infrastructure, and containers for algos that can be dropped into high performance trading.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: The Role of Data Fabric and Data Mesh in Modern Trading Infrastructures

The demands on trading infrastructure are intensifying. Increasing data volumes, the necessity for real-time processing, and stringent regulatory requirements are exposing the limitations of legacy data architectures. In response, firms are re-evaluating their data strategies to improve agility, scalability, and governance. Two architectural models central to this conversation are Data Fabric and Data Mesh. This...

BLOG

Trading Technologies Taps SIGMA AI to Build Dedicated AI Hub and Names Andy Simpson as Head of AI

Trading Technologies (TT) has deepened its partnership with fintech firm SIGMA AI through a strategic minority investment, tasking the company with building a proprietary AI and innovation hub to embed artificial intelligence across TT’s global trading platform. The move, which expands on an existing collaboration established in 2024, aims to accelerate TT’s AI adoption for...

EVENT

Data Management Summit London

Now in its 16th year, the Data Management Summit (DMS) in London brings together the European capital markets enterprise data management community, to explore how data strategy is evolving to drive business outcomes and speed to market in changing times.

GUIDE

The Global LEI System – A Solution for Entity Data?

The Global LEI System – or GLEIS – has been in development since the middle of last year. Development has been patchy at times, but much has been done, leaving fewer outstanding issues, but also raising new questions. What’s emerging is a structure for the GLEIS going forward, complete with a mechanism for registering and...