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Scientific Programming
Volume 2018, Article ID 8721246, 12 pages
https://doi.org/10.1155/2018/8721246
Research Article

Automatic High-Frequency Trading: An Application to Emerging Chilean Stock Market

1Pontificia Universidad Católica de Valparaíso Chile, Avenida Brasil 2241, Valparaíso 2362807, Chile
2Pontificia Universidad Católica de Valparaíso Chile, Avenida Brasil 2830, Valparaíso 2340031, Chile
3Universidad Técnica Federico Santa María Chile, Avenida España 1680, Valparaíso 2390123, Chile
4Universidad Diego Portales Chile, Av. Ejército 441, Santiago 8370109, Chile

Correspondence should be addressed to Hanns de la Fuente-Mella; lc.vcup@etneufaled.snnah

Received 8 March 2018; Revised 11 August 2018; Accepted 5 September 2018; Published 30 September 2018

Academic Editor: José E. Labra

Copyright © 2018 Broderick Crawford et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. I. Aldridge, High-Frequency Trading, A Practical Guide to Algorithmic Strategies and Trading Systems, John Wiley & Sons, Inc, Wiley Trading Series, 2010.
  2. A. Pole, Statistical Arbitrage, Algorithmic Trading Insights and Techniques, John Wiley & Sons, Inc, Wiley trading series, 2007.
  3. C. Massey and G. Wu, “Detecting regime shifts: the causes of under- and overestimation,” Management Science, vol. 51, no. 6, pp. 932–947, 2005. View at Publisher · View at Google Scholar · View at Scopus
  4. Economia and Negocios, “Bolsa responde a las críticas por fallas de su nuevo sistema de transacciones,” 2010, http://www.economiaynegocios.cl/noticias/noticias.asp?id=73694. View at Google Scholar
  5. Bolsa de Comercio de Santiago, “Síntesis mensual Mayo 2010,” 2010, http://www.bolsadesantiago.com/Sintesis%20y%20Estadisticas/S%C3%ADntesis%20Mensual%20Mayo%202010.pdf. View at Google Scholar
  6. W. Ketter, J. Collins, M. Gini, A. Gupta, and P. Schrater, “Detecting and forecasting economic regimes in multi-agent automated exchanges,” Decision Support Systems, vol. 47, no. 4, 2009. View at Publisher · View at Google Scholar · View at Scopus
  7. F. Wang, K. Dong, and X. Deng, “Algorithmic trading systems: design and applications,” Frontiers of Computer Science in China, vol. 3, no. 2, pp. 235–246, 2009. View at Publisher · View at Google Scholar · View at Scopus
  8. K. Kendall, Electronic and Algorithmic Trading Technology, Elsevier, Academic Press, Cambridge, MA, USA, 2007.
  9. R. Pardo, The Evaluation and Optimization of Trading Strategies, John Wiley & Sons, Inc, Wiley Trading Series, Hoboken, NJ, USA, 2008.
  10. J. Bigus, Data Minig with Neural Networks, McGraw-Hill, New York City, NY, USA, 1996.
  11. Advanced Trading and I. Schmerken, “Deutsche bank aims new stealth algo at buy-side,” 2011, http://www.advancedtrading.com/algorithms/229401154. View at Google Scholar
  12. AMD WhitePaper, Market Risk and Algorithmic Trading, AMD & Toomre Capital Markets LLC, Phoenix, AZ, USA, 2007.
  13. M. Humphery-Jenner, “Optimal VWAP trading under noisy conditions,” Journal of Banking & Finance, vol. 35, no. 9, pp. 2319–2329, 2011. View at Publisher · View at Google Scholar · View at Scopus
  14. S. Cook, “The complexity of theorem proving procedures,” in Proceedings of the Third Annual ACM Symposium on Theory of Computing, pp. 151–158, Shaker Heights, Ohio, USA, May 1971.
  15. R. Karp, “Reducibility among combinatorial problems,” in Complexity of Computer Computations, R. E. Miller and J. W. Thatcher, Eds., pp. 85–103, Plenum, New York, NY, USA, 1972. View at Google Scholar
  16. L. Fortnow, J. Kilian, D. Pennock, and M. Wellman, “Betting Boolean-style: a framework for trading in securities based on logical formulas,” Decision Support Systems, vol. 39, no. 1, pp. 87–104, 2005. View at Publisher · View at Google Scholar · View at Scopus
  17. K. Chang and A. Johnson, “Online and offline selling in limit order markets,” in Proceedings of the 4th International Workshop on Internet and Network Economics, Shanghai, China, December 2008.
  18. C. Blum and A. Roli, “Metaheuristics in combinatorial optimization: overview and conceptual comparison,” ACM Computing Surveys, vol. 35, no. 3, pp. 268–308, 2003. View at Publisher · View at Google Scholar · View at Scopus
  19. J. Kennedy and R. Eberhart, “Particle swarm optimization,” in Proceedings of IEEE International Conference on Neural Networks, pp. 1942–1948, Perth, Australia, November-December 1995.
  20. K. Jabri, D. Dumura, E. Godoya, A. Mouchetteb, and B. Bèleb, “Particle swarm optimization based tuning of a modified smith predictor for mould level control in continuous casting,” Journal of Process Control, vol. 21, no. 2, pp. 263–270, 2011. View at Publisher · View at Google Scholar · View at Scopus
  21. M. Fikret, Particle Swarm Optimization and Other Metaheuristic Methods in Hybrid Flow Shop Scheduling Problem, Singapore Polytechnic School of Electrical and Electronic Engineering, Singapore, 2009.