RTS Realtime Systems to open first office in India

First Published 5th April 2011

RTS to offer Indian trading and brokerage firms connection to India's major exchanges

Steffen Gemuenden, CEO, RTS

Steffen Gemuenden, CEO, RTS

"The office in Mumbai will enable us to provide hands-on support directly from India and to build even further on our capabilities locally."

RTS Realtime Systems Group has announced that it is preparing to open its first office in India with a sales and support staff in Mumbai.

RTS offers Indian trading and brokerage firms the ability to connect to India's major exchanges, including the Multi Commodity Exchange of India Ltd. (MCX), the National Commodity & Derivatives Exchange Limited (NCDEX), the National Stock Exchange of India Limited (NSE), the Bombay Stock Exchange Ltd. (BSE) and the recently launched United Stock Exchange of India Ltd. (USE). The firm's algorithmic trading solutions, RTD Tango and RTD Tango Trader, aim to help market participants trade in multiple asset classes (equities, options, futures and FX) as well as capture opportunities across marketplaces and manage their risk.

Steffen Gemuenden, RTS CEO, said: "We are thrilled to announce plans to open our office in India as we have greatly strengthened the services we offer and grown our Indian client base. The office in Mumbai will enable us to provide hands-on support directly from India and to build even further on our capabilities locally. RTS is able to offer our Indian clients proven, sophisticated and highly efficient trading solutions across asset classes based on our extensive experience in satisfying many of the most demanding proprietary trading firms, high frequency trading firms and commodity supply chain management firms."

Last June, RTS teamed up with the Association of National Exchanges Members of India (ANMI) in an educational initiative to increase the knowledge and use of algorithmic trading solutions among professional traders in India. The effort included a series of workshops on how to strategically and efficiently use algorithmic trading.

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