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Lookup NU author(s): Matthew Brook, Dr Craig Sharp, Dr Gary Ushaw, Dr William Blewitt, Professor Graham MorganORCiD
High frequency trading (HFT) environments provide technologies that enable algorithmic trading within automated marketplaces. The most prominent example of an HFT environment is within equity trading, where many millions of trades are achieved at a high volume to gain a reasonable cumulative profit. Such environments rely on low latency/high performance technologies to allow trades to react in a timely manner to market volatility. However, sometimes the volatility of the market goes beyond what supporting infrastructure can allow, resulting in erroneous behaviour of the marketplace. In this paper we tackle the problem of managing market volatility to limit erroneous market behaviour. Our approach is unique in that it is non-dependent on the trading environment itself and self-regulates based only on trading frequency and contention. We demonstrate our results and show that by managing trade injection rates and contention of shared state the volatility of HFT environments can be managed appropriately and in an automated manner.
Author(s): Brook M, Sharp C, Ushaw G, Blewitt W, Morgan G
Publication type: Report
Publication status: Published
Series Title: School of Computing Science Technical Report Series
Year: 2013
Pages: 8
Print publication date: 01/07/2013
Source Publication Date: July 2013
Report Number: 1390
Institution: School of Computing Science, University of Newcastle upon Tyne
Place Published: Newcastle upon Tyne
URL: http://www.cs.ncl.ac.uk/publications/trs/papers/1390.pdf
