TeraHelix is the ultimate accelerator that allows you to quickly create robust and scalable application to add business value.
However, it is often useful to have access to a number of 'ready-made, out-of-the-box' examples available as a starting point for your own projects. TeraHelix provides the following as starting points for you to kickstart your own project.
Broker-dealers conducting business in the US equity and options markets will be required to report order life cycles for equities and options markets on a daily basis, including orders, quotes, cancels, routes (plus internal routes), and allocations to FINRA. The TeraHelix implementing a robust CAT solution that addresses many of the data management and scalability challenges associated with a complex implementation such as this.
The US Federal Reserve requires globally systemically important banks to submit a quarterly FR Y-15 systemic risk report. The wide scope and broad reach of the FR Y-15 report is such that there is no single 'turn-key-solution' available that would seamlessly integrate all of the firms golden source systems and produce this final report. However, as a development accelerator the TeraHelix platform has been demonstrated to significantly cut down on the time and effort required to build and produce this report.
Integration with high quality market and reference data sources is the life-blood of many financial applications. The TeraHelix platform implements a number of shared services which other applications can connect to through a mechanism known as 'external snapshots'. The Consolidated Audit Trail and the Systemic Risk Report FR Y-15 applications rely on snapshots from the Shared Market and Reference Data application to provide insights and inputs for their analytics.
The combination of structured and unstructured data sources can unlock significant value for the enterprise. The TeraHelix platform supplies application developers with an extensible toolkit to consume, enrich and validate data from both structured and unstructured data sources. The Data Distiller application demonstrates these capabilities by combining Twitter feeds, NLP sentiment analysis, PDF annual reports and market volatility data in order to produce new benchmarks and insights.