Aug 31, 2022 · It is suggested that both ARIMA and LSTM models can predict stock prices, and the prediction results are generally consistent with the actual results.

The paper presented provides models which can visualize the future trend of the stock as graphs and give an overview of stock trend.

When predicting an averaged 3 months, ARIMA is about 1.8 times better than LSTM. When predicting an averaged 9 months, ARIMA is about 2.1 times better than LSTM ...

In this paper, LSTM and ARIMA models are adopted to explore the attracting stock price prediction. Besides, forecasting accuracy is comprehensively compared by ...

In this paper, auto-regressive integrated moving average (ARIMA), neural network (NN) and long short-term memory network (LSTM) have been used to predict Bursa ...

Aug 31, 2022 · Both ARIMA and LSTM models can predict stock prices, and the prediction results are generally consistent with the actual ...

Aiming at the problem of stock trend prediction, we present a hybrid model based on Long Short-Term Memory. (LSTM) and Auto Regressive Integrated Moving Average.

Apr 29, 2023 · In the following Python code, a Long Short-Term Memory (LSTM) model is used to predict stock closing prices and compared with an ARIMA model.

They compared the accuracy of ARIMA and LSTM methods to forecast the time series data and the results showed that LSTM is far more superior to ARIMA. In [8], ...

This study examines the performance of ARIMA, LSTM, and FB Prophet in stock market forecasting, allowing practitioners to choose the best approach depending on ...