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RTS opens Mumbai office

05 April 2011  |  3007 views  |  0 Source: RTS Realtime Systems Group

RTS Realtime Systems Group, a leading global trading solutions provider, announced that it is preparing to open its first office in India with a sales and support staff in Mumbai to service a growing client base in the country.

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, 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.

Also known as high-speed automated trading, algorithmic trading enables financial institutions and professional traders to execute complex trading strategies and manage risks involving multiple orders in a fraction of a second.

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