USING MACHINE LEARNING METHODS IN THE FINANCIAL MARKET FOR TECHNICAL ANALYSIS BASED ON HYBRID MODELS

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Sabbaghi Lalimi Amir Hossein; Damavandi Hamed

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Paper Information

Journal: SRPH JOURNAL OF APPLIED MANAGEMENT AND AGILE ORGANISATION Year:2020 | Volume:2 | Issue:4 Page(s): 1-11

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Title

USING MACHINE LEARNING METHODS IN THE FINANCIAL MARKET FOR TECHNICAL ANALYSIS BASED ON HYBRID MODELS

Author(s)

Sabbaghi Lalimi Amir Hossein | Damavandi Hamed | Issue Writer Certificate

Keywords

FOREX PREDICTION

MACHINE LEARNING

DEEP LEARNING

HIGH FREQUENCY TRADING

NEURAL NETWORK

LONG SHORT-TERM MEMORY CONVOLUTIONAL NEURAL NETWORK

MULTI-LAYER PERCEPTRON

Abstract

In this study, it is presented a new hybrid model based on deep NEURAL NETWORKs to predict the direction and magnitude of the Forex market movement in the short term. The overall model presented is based on the scalping strategy and is provided for high frequency transactions. The proposed hybrid model is based on a combination of three models based on deep NEURAL NETWORKs. The first model is a deep NEURAL NETWORK with a multi-input structure consisting of a combination of Long Short Term Memory layers. The second model is a deep NEURAL NETWORK with a multi-input structure made of a combination of one-dimensional Convolutional NEURAL NETWORK layers. The third model has a simpler structure and is a multi-input model of the MULTI-LAYER PERCEPTRON layers. The overall model was also a model based on the majority vote of three top models. This study showed that models based on Long Short-Term Memory layers provided better results than the other models and even hybrid models with more than 70% accurate.

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APA: Copy

Sabbaghi Lalimi, Amir Hossein, & Damavandi, Hamed. (2020). USING MACHINE LEARNING METHODS IN THE FINANCIAL MARKET FOR TECHNICAL ANALYSIS BASED ON HYBRID MODELS. SRPH JOURNAL OF APPLIED MANAGEMENT AND AGILE ORGANISATION, 2(4 ), 1-11. SID. https://sid.ir/paper/402259/en

Vancouver: Copy

Sabbaghi Lalimi Amir Hossein, Damavandi Hamed. USING MACHINE LEARNING METHODS IN THE FINANCIAL MARKET FOR TECHNICAL ANALYSIS BASED ON HYBRID MODELS. SRPH JOURNAL OF APPLIED MANAGEMENT AND AGILE ORGANISATION[Internet]. 2020;2(4 ):1-11. Available from: https://sid.ir/paper/402259/en

IEEE: Copy

Amir Hossein Sabbaghi Lalimi, and Hamed Damavandi, “USING MACHINE LEARNING METHODS IN THE FINANCIAL MARKET FOR TECHNICAL ANALYSIS BASED ON HYBRID MODELS,” SRPH JOURNAL OF APPLIED MANAGEMENT AND AGILE ORGANISATION, vol. 2, no. 4 , pp. 1–11, 2020, [Online]. Available: https://sid.ir/paper/402259/en

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