Robust Stock Price PredictionusingGated Recurrent Unit (GRU)

Robust Stock Price PredictionusingGated Recurrent Unit (GRU)

Deep Learning, GRU,Stock Price,Prediction

Forecasting the direction of price movement of the stock market could yield significant profits. Traders use technical analysis, which is the study of price by scrutinizing past prices, to forecast the future price of the nickel stock price. Therefore,in this study, we proposeGated Recurrent Units (GRU) to predict nickel stock price trends. This research aimsto produce an accurate nickel stock price trend prediction model. The research method utilizedhistorical data on nickel stock prices from Yahoo Finance. The research results show that the model developed accurately predictednickel stock price trends. From the RMSE, MAE, and MSE analysisresults, the RMSE value was 0.0123, the MAE value was 0.0089, and the MSE value was 0.0002 on the test data.

Hamzah1,Poly Endrayanto Eko Chrismawan2,, Sugeng Winardi3, Rainbow Tambunan

https://ijicom.respati.ac.id/index.php/ijicom/article/view/56/46

August 2023

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