Deep learning for Tesla’s stock prices prediction

Modeling stock price predictions is a challenging and not easy task because it is influenced by internal and external factors. Recently, investors are paying attention to invest in Tesla electric cars. Tesla’s advantage by issuing new shares with a lower effective cost of capital is a competitive advantage and significant to attract investors’ attention. However, in terms of investment, the possibility of getting a lot of profits and allowing investors to lose all their savings is commonplace and commonplace. In this paper, the concentration of writing is to predict Tesla’s stock price in the future based on the data of the last 5 years. The MLP and LSTM models are used as models for testing the tesla dataset sourced from investing.com and the yahoofinance dataset is tested to see a graph of Tesla’s future price predictions. The MLP model with Adam optimization, Loss: MSE is the best model for investing.com dataset with the smallest MAE value of 4.41644 and the MLP model with Adam optimization, Loss: MAE is the best model for the yahoofinance dataset with an MAE value of 6.20797.