@incollection{, D6097AC76FCA3CC15A53CE80BB1B6474 , author={{David AdemolaOyemade} and {DavidEnebeli}}, journal={{Global Journal of Computer Science and Technology}}, journal={{GJCST}}0975-41720975-435010.34257/gjcst, address={Cambridge, United States}, publisher={Global Journals Organisation}211514 } @book{b0, , title={{Time series analysis: Forecasting and control}} , author={{ GEBox } and { GMJenkins }} , year={1994} 598 } @book{b1, , title={{A Generalized Moving Average Convergence/ Divergence for Testing Semi-strong Market Efficiency}} , author={{ FBartolucci } and { ACardinali } and { FulviaPennoni }} , year={2018} , publisher={Springer International Publishing AG} , note={part of Springer Nature} } @incollection{b2, , title={{A literature review of technical analysis on stock markets}} , author={{ RT FNazário } and { JLSilva } and { VASobreiro } and { HKimura }} , journal={{The Quaterly Review of Economics and Finance}} 66 , year={2017. 2017} , publisher={Elsevier} } @incollection{b3, , title={{A hybrid evolutionary dynamic neural network for stock market trend analysis and prediction using unscented Kalman filter}} , author={{ RBisoi } and { PDash }} , journal={{Applied Computing}} 19 , year={June(1. 2014} } @book{b4, , title={{Deep Learning for Stock Market Prediction Using Technical Indicators and Financial News}} , author={{ MRVargas } and { CE MAnjo } and { GL GBichara } and { AGEvsukoff }} , year={2018} 8 Loughborough University, IEEE Xplore } @incollection{b5, , title={{Enhancing Technical Analysis in the Forex Market Using Neural Networks}} , author={{ KC CChan } and { FKTeon }} , booktitle={{Proceedings of ICNN'95 -International Conference on Neural Networks , IEEE Xplore}} ICNN'95 -International Conference on Neural Networks , IEEE Xplore , year={2002} } @book{b6, , title={{Evaluating the Impact of Technical Indicators on Stock Forecasting}} , author={{ FBOriani_ } and { GPCoelho } and { ;Ieee Xplore }} , year={2016} } @book{b7, , title={{Individualized Indicator for All: Stock-wise Technical Indicator Optimization with Stock Embedding}} , author={{ ZLi } and { LYang } and { JZhao } and { TBian } and { TQin } and { Liu }} , year={August 4-8, 2019. 2019} 19 , address={Anchorage, AK, USA, ACM} } @book{b8, , title={{the-impact-of-coronavirus-covid-19-and-the-globaloil-price-shock-on-the-fiscal-position-of-oil-exporting -developing-countries-8bafbd95/. Accessed: 18 th}} , year={April 2021} } @incollection{b9, , title={{Evaluating machine learning classification for financial trading: An empirical approach}} , author={{ EAGerlein } and { MartinMcginnity }} 10.1016/j.eswa.2016.01.018 , journal={{Expert Systems with Applications}} 54 , year={2016} , publisher={Elsevier} } @incollection{b10, , title={{Financial time series forecasting with deep learning: A systematic literature review}} , author={{ OBSezer } and { MUGudelek }} 10.1016/j.asoc.2020.106181 , journal={{Applied Soft Computing Journal}} 90 , year={2005-2019. 2020. 2020} , publisher={Elsevier} } @book{b11, , author={{ PJBrockwell } and { RADavis }} , title={{Time Series: Theory and Methods}} New York , publisher={Springer-Verlag} , year={1991} 2 , note={Springer Series in Statistics} } @incollection{b12, , title={{Investigating the Performance of Technical Indicators in Electrical Industry in Tehran's Stock Exchange Using Hybrid Methods of SRA, PCA and Neural Networks}} , author={{ DGholamiangonabadi } and { SD MTaheri } and { AMohammadi } and { MBMenhaj }} , booktitle={{The 5th Conference on Thermal Power Plants (lPGC2014)}} Tehran, Iran, IEEE , year={June 10-11,2014. 2014} Shahid Beheshti University } @incollection{b13, , title={{Investment Strategy Optimization Using Technical Analysis and Predictive Modeling in Emerging Markets}} , author={{ JStankovi ? } and { IMarkovi ? } and { MStojanovi }} , booktitle={{Procedia Economics and Finance}} edia Economics and Finance , year={2015} 19 } @incollection{b14, , title={{Multi-objective Optimization Approach to Stock Market Technical Indicators}} , author={{ RAlmeida } and { GReynoso-Meza } and { MT ASteiner }} , journal={{IEEE Congress on Evolutionary Computation (CEC)}} , year={2016. 2016} , publisher={IEEE Xplore} } @book{b15, , title={{17] also focused on the application of neural networks for decision making in the stock market}} , author={{ Thawornwong }} } @incollection{b16, , title={{Technical analysis and the London stock exchange: testing the MACD and RSI rules using the FT30}} , author={{ TTChong } and { WNg }} 10.1080/13504850600993598 , journal={{Applied Economics Letters}} 15 14 , year={2008} } @incollection{b17, , title={{Technical Analysis and the Spanish Stock Exchange: Testing the RSI, MACD, Momentum and Stochastic Rules Using Spanish Market Companies}} , author={{ RRosillo } and { DDe La Fuente } and { JA LBrugos }} 10.1080/00036846.2011.631894 , journal={{Applied Economics}} 45 , year={2013} } @book{b18, , title={{The Study on the Relationship among Technical Indicators and the Development of Stock Index Prediction System}} , author={{ SChi } and { WPeng ; Ieee Xplore }} , year={2003} } @incollection{b19, , title={{Forecasting Oil Price Trends with Sentiment of Online News Articles}} , author={{ JLi } and { ZXu } and { LYu } and { LTang }} , booktitle={{Procedia Computer Science}} edia Computer Science , year={2016} 91 } @incollection{b20, , title={{Crude Oil Price Forecasting using ARIMA model}} , author={{ PA SJessin } and { Kiruthiga }} , journal={{International Research Journal of Engineering and Technology}} , year={2020} } @book{b21, , title={{Daily Crude Oil Price Forecasting Using Hybridizing Wavelet and Artificial Neural Network Model}} , author={{ AShabri } and { RSamsudin }} , year={201402. 2014} 2014 10 , note={Mathematical Problems in Engineering} } @incollection{b22, , title={{Forecasting Oil Prices: a Deep Learning Based Model}} , author={{ YChen } and { KHe } and { KF TGeoffrey }} , booktitle={{Science Direct}} , year={2017. 2017} 122 } @incollection{b23, , title={{Forecasting Model for Crude Oil Price Using Artificial Neural Networks and Commodity Futures Prices}} , author={{ SKulkarni } and { IHaidar }} , journal={{International Journal of Computer Science and Information Security}} 2 1 , year={2009} } @incollection{b24, , title={{Improved Crude Oil Price Forecasting With Statistical Learning Methods}} , author={{ CSlim }} , journal={{Journal of Modern Accounting and Auditing}} 11 1 , year={2015} } @book{b25, , title={{Oil Price Forecasting Using a Time-Varying Approach}} , author={{ LZhao } and { SWang } and { ZZhang }} , note={Energies 2020, 13, 1403, pp. 8, 2020} } @book{b26, , title={{Forecasting the Price of Crude Oil: The Predictive Power of Futures Prices and Realized Volatility}} , author={{ MHoff1 } and { Olsvik }} , year={2015} , address={Trondheim} Norwegian University of Science and Technology, Department of Industrial Economics and Technology Management } @incollection{b27, , title={{Prediction of Oil Prices Using Bagging and Random Subspace}} , author={{ LAGabralla1 } and { AAbraham }} , booktitle={{Advances in Intelligent Systems and Computing 303}} , publisher={Springer International Publishing Switzerland} , year={2014. 2014} , note={Proceedings of the Fifth Intern. Conf. on Innov} }