The deployment provides independent monitoring of City Index’s equities price production infrastructure and market data quality, supporting on-going efforts to effectively manage operational risk and ensure the continuous publication of fast, high quality pricing. 

In an environment where the availability of reliable, accurate and timely market data is essential to price production, the real-time solution raises instant alerts should degradation occur in the quality of market data received from exchanges.  Velocimetrics also rapidly detects possible sources of latency across the entire price production process; from the moment market data is generated on the exchange through to the price being received by a client.  By doing so, City Index is able to accurately pinpoint the exact location of any issue occurring across its complete environment and trace any given price back to the market data tick that generated it, facilitating the problem’s quick resolution. 

The solution helps City Index to further improve the timeliness and quality of prices delivered to their clients, allowing them to react more quickly to market conditions.  Velocimetrics has helped City Index achieve this by producing detailed, real-time business level analytics, which enable City Index to instantly understand how performance issues may be impacting prices, trades and client experience.  To understand more about City Index’s implementation of Velocimetrics please click here to view the case study.

Commenting on the recent implementation, Gautam Dixit, Head of Pricing and Analytics at City Index stated: 

‘We view the delivery of high quality pricing as essential and by implementing end-to-end monitoring of our entire price production process, we are adding an additional layer of quality and risk management to our pricing.’ 

Steve Colwill, CEO at Velocimetrics added:

‘We are witnessing a growing trend among firms keen to really understand the quality of the market data on which they are basing pricing decisions, beyond more traditional measures such as timeliness, and identify opportunities to increase price publication or trade execution performance.  These innovative firms are pushing the boundaries of what many have come to traditionally expect from their performance monitoring solutions and as a result are able to very effectively control their exposure to operational risk.’