Technical stock market indicators of Tehran Stock Exchangeprediction using LSTM

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

کلیدواژه ها:

LSTM ، Artificial neuralnetwork ، Stock ، Stock market