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Table 3 Shows the various primary studies and information’s about them (The reviewed primary studies)

From: Forex market forecasting using machine learning: Systematic Literature Review and meta-analysis

Author(s)

Year of Pub.

Book/Book Chapter/ Conf./Article/Thesis

Topic

Studies

Citations

Salman Ahmed, Saeed-Ul Hassan, Naif Radi Aljohani, Raheel Nawaz

2020

Elsevier

FLF-LSTM: A novel prediction system using Forex Loss Function

[P1]

[1]

Pradyot Ranjan Jena, Ritanjali Majhi, Babita Majhi

2015

Elsevier

Development and performance evaluation of a novel knowledge guided artificial neural network (KGANN) model for exchange rate prediction

[P2]

[28]

Juan Julián Cuéllar Abril

2019

IEEE

Currency Exchange Rate Prediction with Long Short-Term Memory Networks Based on Attention and News Sentiment Analysis

[P3]

[37]

Svitlana Galeshchukand Sumitra Mukherjee

2017

SCITEPRESS – Science and Technology Publications, Lda.

Deep Learning for Predictions in Emerging Currency Markets

[P4]

[20]

Dadabada Pradeepkumar and Vadlamani Ravi

2014

Springer

FOREX Rate Prediction Using Chaos, Neural Network and Particle Swarm Optimization

[P5]

[45]

Michal DOBROVOLNY, Ivan SOUKAL, Kok Cheng LIM, Ali SELAMAT And Ondrej KREJCAR

2020

Hradec Economic days

Forecasting of FOREX Price Trend Using Recurrent Neural Network—Long Short-term Memory

[P6]

[14]

Amit R. Nagpure

2019

International Journal of Innovative Technology and Exploring Engineering (IJITEE)

Prediction of Multi-Currency Exchange Rates Using Deep Learning

[P7]

[39]

Md. Saiful Islam, Emam Hossain

2020

Elsevier

Foreign Exchange Currency Rate Prediction using a GRU-LSTM Hybrid Network

[P8]

[56]

João Carapuço, Rui Neves, Nuno Horta

2018

Applied Soft Computing Journal

Reinforcement learning applied to Forex trading

[P9]

[8]

Dadabada Pradeepkumar and Vadlamani Ravi

2017

Springer

FOREX Rate Prediction: A Hybrid

Approach Using Chaos Theory

and Multivariate Adaptive

Regression Splines

[P10]

[58]

Christian Gonz´alez Rojas, Molly Herman

2018

Elsevier

Foreign Exchange Forecasting via Machine Learning

[P11]

[21]

Leslie C.O. Tiong, David C.L. Ngo, and Yunli Lee

2013

Researchgate

Forex Trading Prediction using Linear Regression Line, Artificial Neural

Network and Dynamic Time Warping Algorithms

[P12]

[67]

THEODOROS ZAFEIRIOU, DIMITRIS KALLES,

2013

International Journal on Artificial Intelligence Tools

short-term trend prediction of foreign exchange rates with a neural-network based ensemble of financial technical indicators

[P13]

[74]

Boning Zhang

2018

Journal of Physics

Foreign exchange rates forecasting with an EMDLSTM neural networks model

[P14]

[75]

Yaxin Qu1, Xue Zhao1

2019

Journal of Physics

Application of LSTM Neural Network in Forecasting Foreign Exchange Price

[P15]

[48]

Lina Ni, Yujie Li,Xiao Wang, Jinquan Zhang, Jiguo Yu, Chengming Qi

2018

Elsevier

Recurrent Neural Networks and ARIMA Models for Euro/Dollar Exchange Rate Forecasting

[P16]

[43]

V.V.Kondratenko1 and Yu. A Kuperin

2014

Researchgate

Using Recurrent Neural Networks To Forecasting of Forex

[P17]

[35]

Darko Vukovic

2013

Researchgate

Forex predicton with neural network: usd/eur

currency pair

[P18]

[72]

Ling Qi, Matloob Khushi, Josiah Poon

2020

Elsevier

Event-Driven LSTM For Forex Price Prediction

[P19]

[47]

Alexander Jakob Dautel, Wolfgang Karl Härdle, Stefan Lessmann

Hsin‑Vonn Seow

2020

Springer

Forex exchange rate forecasting using deep recurrent neural networks

[P20]

[13]

Gunho Jung and Sun-Yong Choi

2021

Hindawi

Forecasting Foreign Exchange Volatility Using Deep Learning Autoencoder-LSTM Techniques

[P21]

[30]

Dinesh K. Sharma,

H.S. Hota,

Richa Handa

2017

Review of Business and Technology Research, Vol. 14, No. 1, 2017, ISSN 1941-9414

PREDICTION OF FOREIGN EXCHANGE RATE USING REGRESSION TECHNIQUES

[P22]

[61]

Deniz Can Yıldırım, Ismail Hakkı Toroslu and Ugo Fiore

2021

Springer

Forecasting directional movement of Forex data using LSTM with technical and macroeconomic indicators

[P23]

[73]

Thuy Nguyen Thi Thu, Vuong Dang Xuan

2018

IEEE

Using Support Vector Machine in FoRex Predicting

[P24]

[41]

Francesco Rundo

2019

MDPI Applied Sciences

Deep LSTM with Reinforcement Learning Layer for Financial Trend Prediction in FX High Frequency Trading Systems

[P25]

[52]

AREEJ ABDULLAH BAASHER, MOHAMED WALEED FAKHR

2017

Researchgate

Forex trend classification using machine learning techniques

[P26]

[3]

Alexander Amo Baffour a, Jingchun Feng, Evans Kwesi Taylor,

2019

Elsevier

A hybrid artificial neural network-GJR modeling approach to forecasting currency exchange rate volatility

[P27]

[2]

Krin Chinprasatsak,

Nattee Niparnan,

Attawith Sudsang

2018

Elsevier

ENMX: An elastic network model to predict the FOREX market

evolution

[P28]

[9]

Smruti Rekha Das, Debahuti Mishra, Minakhi Rout

2017

ScienceDirect

A hybridized ELM-Jaya forecasting model for currency exchange

prediction

[P29]

[12]

Mehreen Rehman,Gul Muhammad Khan, Sahibzada Ali Mahmud

2014

Elsevier

Foreign currency exchange rates prediction using CGP and Recurrent Neural Network

[P30]

[51]

Paponpat Taveeapiradeecharoen, Kosin Chamnongthai, (senior member, ieee),

and Nattapol Aunsri

2019

IEEE

Bayesian Compressed Vector Autoregression for Financial Time-Series Analysis and Forecasting

[P31]

[64]

Mercedeh AmirAskari, Mohammad Bagher Menhaj

2016

IEEE

A modified fuzzy relational model approach to prediction of foreign exchange rates

[P32]

[25]

Nathan D’Lima, Shamsuddin S. Khan

2014

International Journal of Engineering Research & Technology (IJERT)

FOREX Rate Prediction using A Hybrid

System

[P33]

[11]

Ahmad Bagheri, Hamed Mohammadi Peyhani, Mohsen Akbari

2014

Elsevier

Financial forecasting using ANFIS networks with Quantum-behaved 4 Particle Swarm Optimization

[P34]

[4]

LudmilaDymova,PavelSevastjanov  ,KrzysztofKaczmarek

2016

Elsevier

A Forex trading expert system based on a new approach to the rule-base evidential reasoning

[P35]

[15]

Bernardo Jubert de Almeida, Rui Ferreira Neves,, Nuno Hortaa

2017

Applied Soft Computing

Combining Support Vector Machine with Genetic Algorithms to Optimize Investments in Forex Markets with High Leverage

[P36]

[29]

Milton Saulo Raimundo, Jun Okamoto Jr.

2018

IEEE

SVR-Wavelet Adaptive Model for Forecasting Financial Time Series

[P37]

[49]

Pradeepta Kumar Sarangi, Muskaan Chawla, Pinaki Ghosh, Sunny Singh, P.K. Singh

2020

Elsevier

FOREX trend analysis using machine learning techniques: INR vs USD

currency exchange rate using ANN-GA hybrid approach

[P38]

[36]

Yaroslav Vyklyuk1, Darko Vukovic2, Ana Jovanovic3

2013

ACTUAL PROBLEMS OF ECONOMIICS #10((148)),,2013

FOREX PREDICTION WITH NEURAL NETWORK:

USD/EUR CURRENCY PAIR

[P39]

[69]

Kristina Sanjaya Putria*, Siana Halima

2020

International Journal of Industrial Optimization

Currency movement forecasting using time series analysis and long short-term memory

[P40]

[46]

ArashNegahdari Kia, Dr. SamanHaratizadeh and Dr. HadiZare

2013

Bonfring

Prediction of USD/JPY Exchange Rate Time Series Directional Status by KNN with Dynamic Time Warping AS Distance Function

[P41]

[34]

Shian-Chang Huang Pei-Ju Chuang a, Cheng-Feng Wub, Hiuen-Jiun Lai a

2010

Elsevier

Chaos-based support vector regressions for exchange rate forecasting

[P42]

[24]

Pedro Escudero, Willian Alcocer and Jenny Paredes

2021

MDPI

Recurrent Neural Networks and ARIMA Models for Euro/Dollar Exchange Rate Forecasting

[P43]

[16]

Juszczuk Przemyslaw, Kozak Jan and Trynda Katarzyna

2016

Springer

Decision Trees on the Foreign

Exchange Market

[P44]

[10]

Sitti Wetenriajeng Sidehabi, Indrabayu1, Sofyan Tandungan2

2016

IEEE

Statistical and Machine Learning Approach in Forex Prediction Based on Empirical Data

[P45]

[63]

Dadabada Pradeepkumar and Vadlamani Ravi

2017

Springer

FOREX Rate Prediction: A Hybrid

Approach Using Chaos Theory

and Multivariate Adaptive

Regression Splines

[P46]

[58]

Gon_calo Abreu, Rui Neves, Nuno Horta

2018

Elsevier

Currency exchange prediction using machine learning, genetic algorithms and technical analysis

[P47]

[40]

Thuy Nguyen Thi Thu1, Vuong Dang Xuan

2018

International Journal of Engineering & Technology

Forex trading using supervised machine learning

[P48]

[42]

Theodoros Zafeiriou, Dimitris Kalles

2020

ACM

Intraday Ultra-Short-Term Forecasting of Foreign Exchange

Rates using an Ensemble of Neural Networks based on

Conventional Technical Indicators

[P49]

[58]

Mihiran Rupasinghe, Malka N. Halgamuge, Nguyen Tran Quoc Vinh

2019

IEEE

Forecasting Trading-Time-based Profit-Making Strategies in Forex Industry: Using Australian Forex Data

[P50]

[53]

Nima Shahbazi, Masoud M emarzadeh a nd Jarek G ryz1

2016

MATEC Web of Conferences 6,

ICIEA 2016

Forex Market Prediction Using NARX Neural Network with Bagging

[P51]

[60]

Gene I. Sher

2012

ACM

Forex Trading Using Geometry Sensitive Neural Networks

[P52]

[62]

Leslie C.O. Tiong*, David C.L. Ngo, Yunli Lee

2016

Int. J. Computational Science and Engineering, Vol. 13, No. 4, 2016

Forex prediction engine: framework, modelling techniques and implementations

[P53]

[66]

Mustika Ulina, Ronsen Purba, Arwin Halim

2021

IEEE

Foreign Exchange Prediction using CEEMDAN and

Improved FA-LSTM

[P54]

[68]

Wenyu Wei, Pengfei Li

2019

Proceedings of 2019 International Conference on Advanced Information Science and System

Multi-Channel LSTM with Different Time Scales for Foreign Exchange Rate Prediction

[P55]

[70]

AMAURY HERNANDEZ-AGUILA1, MARIO GARCÍA-VALDEZ 1,

JUAN-JULIÁN MERELO-GUERVÓS2, MANUEL CASTAÑÓN-PUGA 3,

AND OSCAR CASTILLO LÓPEZ 1, (Senior Member, IEEE)

2021

IEEE

Using Fuzzy Inference Systems for the Creation

of Forex Market Predictive Models

[P56]

[22]

Svitlana Galeshchuk, Sumitra Mukherjee

2017

Researchgate

Deep Networks for Predicting Direction of Change in Foreign Exchange Rates

[P57]

[19]

Yiqi Zhao, Matloob Khushi

2021

IEEE

Wavelet Denoised-ResNet CNN and LightGBM Method to Predict Forex Rate of Change

[P58]

[76]

Babu AS and Reddy SK

2015

Journal of Stock & Forex Trading

Exchange Rate Forecasting using ARIMA, Neural Network and Fuzzy Neuron

[P59]

[50]

Alireza Sadeghi, Amir Daneshvar, Mahdi Madanchi Zaj

2021

Elsevier

Combined ensemble multi-class SVM and fuzzy NSGA-II for trend forecasting and trading in Forex markets

[P60]

[55]