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Key technology considerations for algorithmic trading capability (Technology Focus)Product Type: Market Research ReportPublished by: Datamonitor Published: December 2006 Product Code: R313-18955 Description IntroductionAs financial institutions battle with ongoing competitive pressures, there have been radical transformations in trading systems in global markets. Institutions are looking for advanced trading platform functionality in order to gain the ever important competitive advantage. Scope *Discusses current technology trends in the algorithmic trading space *Examines the technological requirements for financial institutions demanding algorithmic solutions Highlights Whilst most firms have gained their exposure to this type of trading through sell side counterparts, there are increasingly other viable options on offer such as internal system development or vendor tool kits. A number of trading firms have taken the additional step of writing their own feed handlers to read and extract the relevant information from the streaming data flow. When evaluating alternatives, issues such as latency, stability and market coverage are among some of the key considerations. The ability for automated systems to detect patterns and produce signals feeding into OMSs will be a key feature of technology solutions in the future. The chance to reverse the standard data flow to send messages back to the trader will be an important trend in the future for portfolio construction. Reasons to Purchase *Understand the technology issues behind algorithmic trading environments *Learn about next generation algorithm technology targeted at achieving competitive advantage Table of Contents DATAMONITOR VIEW 1CATALYST 1 SUMMARY 1 ANALYSIS 2 An increased amount of focus is now being placed on effective algorithm implementation 2 Key requirements 2 Demand is increasing for enhanced trading desktop functionality 3 Firms are turning to real-time data analysis tools to enhance execution quality 4 A shift in the use of TCA is occurring 4 The demand for increased latency is driving investment in data infrastructure 6 Architectural structure considerations 7 Greater technological intelligence will be required to obtain superior trading performance 7 Innovative algorithms are emerging 8 APPENDIX 10 Extended methodology 10 Further reading 10 Ask the analyst 10 List of Figures Figure 1: 2006 next-generation broker algorithms 9 |
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