Netflix Stock Price Prediction Using LSTM Based RNN

Stock market forecast is a complex process on account of the clamorous, individual, complex and changeable character of the stock price occasion succession. Due to the growing number of consumers and new rules achieved apiece Netflix Corporation to stop giving passwords, the stock price of Netflix has existed unsteady currently. This project uses a Long Short-Term Memory (LSTM) model to think the stock price of Netflix. The LSTM model is a type of repeating interconnected system (RNN) that can efficiently capture worldly dependencies later succession dossier. Historical stock price data for Netflix is composed and pre-treated expected used as input for the LSTM model. The LSTM model is therefore prepared on the ancient dossier and proven on a grasped-beginning of dossier to judge allure predicting depiction. The results show that the LSTM model can efficiently envision the stock price of Netflix accompanying a large size of accuracy. This project explains the potential for utilizing LSTM models to forecast stock prices and supplies valuable observations for financiers curious in Netflix’s stock. Using LSTM located RNN, the model has the thought of the earlier dossier and can efficiently deceive new data to envision correct results for the active data.