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Figure 2. The ACF of the simulated time series is displayed here for a maximum of 60 lags.

Figure 3. The PACF of the simulated time series is displayed here for a maximum of 60 lags.

Figure 4. The fitted data from training is the LSTM-RNN model (black) and the actual data(red).

Figure 5. The predicted values of the model (black) and the actual test data (red)

Figure 6. ACF of daily closing price data over a maximum lag of 40 days.

Figure 7. PACF of daily closing price data over a maximum lag of 40 days.

Figure 8. Distribution of percentage change from the previous day of closing stock price

Figure 9. Empirical Training and Validation Loss vs. Number of Epochs Demonstrating Good Model Fit Without Overfitting or Underfitting

Figure 10. Fitted, predicted, and forecasted daily closing prices for the AMZN stock overlayed on the actual values are shown in this figure