Quantifi realises that every firm is unique and therefore need systems that can be customised to suit their specific requirements. That is why a number of features within our system are user configurable.
Models
Quantifi provides the ability to easily integrate client models using simple, well documented language-independent APIs. The APIs we provide to clients are the same ones we use internally for our own model integration and provide flexibility as well as high performance.
Data
Our data model is extendible using dynamic properties. This enables clients to easily extend the attributes of trade and other data using the user interface and without programming. User defined properties are then available throughout the system including searching and reporting.
Trade Entry
To streamline booking of standard trade types, clients can customise their trade entry environment to allow very efficient booking suited to each trader.
Flexible Reports
Quantifi provides extremely flexible reporting built in to our trading and risk management infrastructure. Clients can customise reports and define their own reports using a flexible and powerful GUI application that supports dynamically aggregating, sorting, filtering, formatting, and drill-down of results.
Scenarios
Quantifi Risk provides a GUI interface for creating and editing user-defined scenarios involving arbitrary combinations of market bumps, including term structure and skew bumps. Flexible filtering allows bumps to be applied to select market elements based on user-defined criteria.
Interfaces
For clients with more complex requirements, Quantifi provides a rich set of APIs that allow more advanced functionality to be seamlessly implemented, including:
Powerful Language Independent APIs
For clients with more complex requirements, Quantifi provides a rich set of APIs that dramatically simplify development of data feeds and other interfaces. Quantifi's API’s are based on Microsoft .NET, therefore clients can use any .NET programming language (such as C#, C++, VB.NET, IronPython).