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Trading architecture platform strategy and support

trading architecture platform strategy and support

trading recommendations Utilize features like Screener, Livewire, Strategy Builder and Probability Calculator to gain valuable market insights and devise daily recommendations for traders. Pure speed can only get a firm so far trofitting existing trade systems to be able to accommodate a range of mobile clients who have a vested interest in deriving analytics. Amqp was developed by a consortium of banks and vendors (JP Morgan and Red Hat, VMWare among others) and functions as the lingua franca for financial services backbone messaging. This article is the second installment in a three part series that talks about the business issues being faced by large trading operations infrastructures in Capital Markets space. Finally, support a high degree of scalability, as volumes grow system should be able to autoscale to accomodate a high volume of trades/sec with a desirable latency in milliseconds well defined SLAs for Order Entry Disaster Recovery at a minimum.

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The intention in adopting a SOA (or even a microservices) architecture is to be able to incrementally plug in lightweight business services like performance measurement, trade surveillance, risk analytics, option pricing etc. If the same market data is available from multiple sources which takes priority. Provide the ability to cross buy and sell side market orders (when both side orders are detected in the system). Watchlist creation for tracking marketing performance by monitoring stocks, future, commodity, and Forex, creating portfolio, conditional order, and setting alert. Accurately back-test trading on historical data to simulate strategy. Connectivity is also established via FIX gateways to the distribution service. Our intention is to future proof our architecture by basing it on open standards. Event by itself is frequently overloaded and can be used to refer to several different things, depending on the context it is used. Added to that shrinking margins regulatory pressures are further driving buy side players to look into how existing business processes systems integration currently work with a view to making these more transparent, efficient and agile. Auto route and execute orders based on accounts, quantity and real time market data.