Volume 13 Number 9 (Sep. 2018)
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JCP 2018 Vol.13(9): 1089-1097 ISSN: 1796-203X
doi: 10.17706/jcp.13.9.1089-1097

Forex Trading Robot with Technical and Fundamental Analysis

Luciana Abednego, Cecilia Esti Nugraheni, Irvan Rinaldy
Parahyangan Catholic University, Bandung, Indonesia.
Abstract—Nowadays currency trading can be done online through a platform called Meta-Trader4. MetaTrader 4, also known as MT4, is an electronic trading platform widely used by online retail foreign exchange speculative traders. It was devel-oped by MetaQuotes Software and released in 2005. Traders can open market execution (buy or sell) any currency pair just through one mouse click. Two trading robots that can automate open and close transaction in forex was build in the previous paper [5]. These robots are designed to analyze the market price based on tools and indicators that are provided by MT4. This type of analy-sis is called technical analysis. Experiments show that the profit was not optimal in times of sideways. The other type of analysis in forex trading is based on forex-related news and events that affect forex trends. News reports, economic data, and political events that come out about a country is used by the robots to gain a decision support. This paper build forex robot that analyze forex market based on fundamental analysis. Fundamental news periodically extracted from a website that provide forex news calendar, www.forexfactory.com. This calendar is used to know the news impact to the market price. The robot decisions to open, close, or hold a po-sition are reinforced by the news impact that are parsed from the website. Exper-iments show that the performance of technical robot is more stable than the fun-damental robot.

Index Terms—Forex trading, forex robot, metatrader 4.

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Cite: Luciana Abednego, Cecilia Esti Nugraheni, Irvan Rinaldy, "Forex Trading Robot with Technical and Fundamental Analysis," Journal of Computers vol. 13, no. 9, pp. 1089-1097, 2018.

General Information

ISSN: 1796-203X
Abbreviated Title: J.Comput.
Frequency: Bimonthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat,etc
E-mail: jcp@iap.org
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