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Trade Execution Analysis.fmp

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This examples shows how traders can keep track of the performance of their trade execution algorithms relative to a variety of benckmarks in real-time and intervene if they spot excessive under-performance. The speed that algo engines execute trades means that profitability can be impacted very quickly if something unexpected happens, but the volume of trades being processed means that it is almost impossible for traders to keep proper track. The situation is tailor made for Fractal Maps!

  • Modified by Think Fusion on 03/12/2011 11:04:54
  • Created on 03/02/2011 12:17:08