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Technical stock market indicators of Tehran Stock Exchangeprediction using LSTM

Publish Year: 1399
Type: Conference paper
Language: English
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SCCS01_002

Index date: 1 January 2023

Technical stock market indicators of Tehran Stock Exchangeprediction using LSTM abstract

The stock market prediction has a long story in mathematics, economy and statistics.Even artificial neural network involved in this field of work. Works and researches onstock market prediction done in many fields and factors of stock market prediction. Acritical factor of stock market analysis is technical indicators. Technical indicators aresome mathematical functions that let traders predict trend and behavior of stock sharefactors like closing price. In this paper three main and a widely used technical indicatorwhich is MACD, EMA and OBV is a target for analysis. For analysis tasks of thisstudy LSTM network used to achieve good performance. This study shows that LSTMis capable of predicting the future trend of technical indicators

Technical stock market indicators of Tehran Stock Exchangeprediction using LSTM Keywords:

Technical stock market indicators of Tehran Stock Exchangeprediction using LSTM authors

Arta Asadi

Semnan University, Electrical and Computer Engineering Department, Semnan, Iran,

Mazaher Karimi

Gonbad Kavoos University, Electrical Egineering Department, Golestan, Iran,