“Rather than building a custom trading system from scratch for every new project, we have built a suite of technical components that decouple business logic from technical infrastructure. By doing this, we have streamlined system design, development, and maintenance,” says Matt Barrett, CEO, Adaptive Financial Consulting. Bringing together Adaptive’s Hydra technology, and custom-building to their client’s requirements, means that the latter can now mitigate delivery risk, improve the time to market, and own the resulting IP. Hydra can be operated natively on the cloud and currently serves various institutions ranging from tier 1 and tier 2 investment banks to hedge funds to trading venues and brokers. For instance, a firm struggling to deliver a project internally for almost eighteen months approached Adaptive. Within two weeks of starting with Adaptive, the client’s workflow was implemented on Hydra. Hydra eliminated the need to build or configure technical infrastructure, enabling the immediate delivery of business logic. “Not all trading systems require microsecond latencies and co-location facilities, and for less demanding systems cloud is now a perfectly valid option. We guide our clients to migrate their trading systems to the cloud quickly.”
Hydra constitutes a series of components labelled as Hydra Cluster, Hydra Messaging, Hydra Web Gateway, and Hydra Fix. The highly efficient Hydra Cluster allows Adaptive’s development team to build resilient services such as trade matching engines and request for quotation workflows.
Rather than building a custom trading system from scratch for every new project, we have built a suite of technical components that decouple business logic from technical infrastructure
Adaptive has fostered a work culture centered on engineering, which sets it apart from the competition and allows it to attract and retain top talent. In the future, the firm plans to expand its operations in North America as well as Asia. Adaptive is focused on launching a “data practice” service whereby the data produced by the firm’s systems can be stored and analysed through traditional analytics techniques and artificial intelligence.