Macroeconomic Event Base Expert Advisor for Forex Trades: Through Algo Trading | IEEE Conference Publication | IEEE Xplore

Macroeconomic Event Base Expert Advisor for Forex Trades: Through Algo Trading


Abstract:

An implicit foreign exchange trading decision is generally at the mercy of effective forex forecasting. Forex trade has been scrutinized using two sequestered approaches,...Show More

Abstract:

An implicit foreign exchange trading decision is generally at the mercy of effective forex forecasting. Forex trade has been scrutinized using two sequestered approaches, technical and fundamental analysis. The fundamental data of the economy, correspondingly have a decisive influence on the forex. The idea of seeing the macroeconomic announcements turns progressively challenging due to the direction of the gigantic and variant figure of prices' determining factor and the rapid fluctuations in market dynamics. The main aim of this study is to develop a macroeconomic event base expert advisor to identify the patterns and provide a signal and automate trades based fundamental analysis to forex day traders. Moreover, the paper emphasizes the association between forex high-frequency dynamic forces and macroeconomic announcements that can be determined as events. The sensitive nature of the macroeconomic factors in the forex market must be considered in any system that efforts to deliver users with reasonable and effective insights into the market. The expected implication is to provide a novel methodology for the interested parties and provide a more accurate algo trading system for Forex Day traders. This expert advisor helps to address the gaps in fundamental analysis-based studies and helps to make successful and proper trading decisions as well. This study applies the Machine learning methodologies like linear regression, support vector machine to Random Forest optimizes indicators parameters in order to react straightway to slight variation in the marketplace status by producing swap signals driven fundamental analyses. Further main algorithm develops using mathematical modeling and Backpropagation Weight Decay Neural Network.
Date of Conference: 02-03 December 2021
Date Added to IEEE Xplore: 16 May 2022
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Conference Location: Colombo, Sri Lanka

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