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  • Data gathering options, including daily historic, intraday, and real-time data
  • Model building and prototyping in MATLAB
  • Backtesting and calibrating a model
  • Interacting with existing libraries and software for trade execution
  • Deployment of the final application in a number of environments, including .NET, JAVA, and Excel
  • Tools for high frequency trading, including parallel computing, GPUs, and C code generation from MATLAB
  • Transaction Cost Analysis
  • Order Execution Management with Bloomberg EMSX
  • Instrument Pricing and Order Management with Trading Technologies X_TRADER
  • Trading and Order Management with Interactive Brokers TWS
  • Trading and Order Management with CQG