Abstract
In the 24/7, increasingly fast-paced world of geopolitical events, trading currencies requires the monitoring and absorption of a great deal of data. In previous decades, the knowledge necessary to evaluate market conditions depended on fewer variables and forex trading was less influenced by global events. The globalization of communications through the internet enables instant transmission of data, noise, and emotions. It is more difficult than ever to separate the signal from the noise. Where once price filters were enough, today, event filters and emotional filters are necessary. The markets are open systems and are almost irreducibly complex. The human currency trader is more limited than ever in absorbing global data. Certainly, the use of systems to assist human trading is the future of trading. In fact, many references point to the fact that 70% of all trading is algorithmic. Further confirming the decline of the “trader” is a scan of job openings in the forex field. There is a preponderance of references to coding skills and financial engineering experience (see https://www.efinancialcareers.com/jobs-Trading.s035).
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2018 The Author(s)
About this chapter
Cite this chapter
Cofnas, A. (2018). The Future of Forex Trading: Algorithms, Artificial Intelligence, and Social Forex Trading. In: Planet Forex. Palgrave Macmillan, Cham. https://doi.org/10.1007/978-3-319-92913-2_8
Download citation
DOI: https://doi.org/10.1007/978-3-319-92913-2_8
Published:
Publisher Name: Palgrave Macmillan, Cham
Print ISBN: 978-3-319-92912-5
Online ISBN: 978-3-319-92913-2
eBook Packages: Economics and FinanceEconomics and Finance (R0)