CQG APIs power event trading in Deutsche Börse AlphaFlash Trader

Source: CQG

CQG, today announced that it has partnered with Deutsche Börse to provide automated, event-driven trade execution via the AlphaFlash Trader application through the CQG Integrated Client and CQG Trader APIs.

Through these CQG API connections, AlphaFlash Trader accesses CQG's robust market data feed and its global network of Hosted Exchange Gateways for high-speed order routing.

"CQG's API products, coupled with our underlying infrastructure, offer a level of speed and sensitivity that is well-suited for an application like AlphaFlash Trader, which requires low-latency connectivity and execution capabilities," said Mike Glista, CQG's Director of Order Routing. "Customers using AlphaFlash Trader to automate and execute event-driven strategies will benefit from this low-latency performance."

AlphaFlash Trader is a trading application that lets customers trade on more than 300 global macroeconomic indicators and releases, such as US nonfarm payrolls, central bank interest rate decisions, housing statistics, gross domestic product figures, and CPI. The application uses an intuitive interface allowing traders to select the economic indicators and configure trading parameters, so that orders are executed immediately after indicator release. Multiple orders can be entered for different markets and asset classes simultaneously. The application enables customers to tailor their participation in a trade according to how much an economic release differs from market expectations. A small trade can be entered on a marginally out-of-line figure and a significantly larger trade on market-surprising results.

"We're excited to make AlphaFlash Trader available to CQG's trading customers. By using our application, they'll be able to preconfigure orders to automatically enter into the markets at the release of an economic event", said Georg Gross, Head of Front Office Data + Services, Deutsche Börse Group. "This enables clients to react faster and smarter to unexpected outcomes of macroeconomic releases." 

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