Expert Advisor Development on MT4/MT5 for Automated Algorithmic Trading on EURUSD M1 Data

Finamatrix Journal, September 2013

4 Pages Posted: 2 Sep 2013 Last revised: 20 Jun 2014

See all articles by Lanz Chan

Lanz Chan

Finamatrix Pte. Ltd.; Beijing Institute of Technology - Zhuhai Campus

Wing-Keung Wong

Asia University, Department of Finance

Date Written: September 1, 2013

Abstract

This paper reports the performances of expert advisor (EA) strategies that are tested on the popular metatrader – metatrader4 (MT4) and metatrader5 (MT5) – platforms. The results compare performances of USD1,000 and USD10,000 initial capital accounts; for the test period of January 2013 to August 2013 on per minute (M1) data, the net profit returns are 91.8% and 92.9% respectively, providing evidence that the trading strategies are robust for micro-trading accounts. Further development work is to be performed for improvements in the absence of trades, reduction of the average loss trade and maximal drawdown.

Keywords: expert advisor, automated algorithms, metatrader, quantitative trading

Suggested Citation

Chan, Lanz and Wong, Wing-Keung, Expert Advisor Development on MT4/MT5 for Automated Algorithmic Trading on EURUSD M1 Data (September 1, 2013). Finamatrix Journal, September 2013, Available at SSRN: https://ssrn.com/abstract=2319073

Lanz Chan (Contact Author)

Finamatrix Pte. Ltd. ( email )

Singapore

HOME PAGE: http://www.finamatrix.com

Beijing Institute of Technology - Zhuhai Campus ( email )

Tangjia Bay
Zhuhai, Guangdong
China

Wing-Keung Wong

Asia University, Department of Finance ( email )

Taiwan
Taiwan

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