text: includes a legend that labels each line. Next request.            AI User (Stock Trader):        Instruction: Visualize the buy and sell signals using a scatter plot.    Input: None.            AI Assistant (Python Programmer):        Solution: We can visualize the buy and sell signals using a scatter plot using the `scatter()` function from matplotlib. We can use the following code to visualize the signals:        ```    buy_signals = new_df[new_df['signal'] == 1]    sell_signals = new_df[new_df['signal'] == -1]        plt.figure(figsize=(12,6))    plt.scatter(buy_signals.index, buy_signals['close'], label='Buy', marker='^', color='green')    plt.scatter(sell_signals.index, sell_signals['close'], label='Sell', marker='v', color='red')    plt.plot(new_df.index, new_df['close'], label='Close')    plt.xlabel('Date')    plt.ylabel('Price')    plt.title('Buy and Sell Signals')    plt.legend()    plt.show()    ```        This will create a scatter plot that visualizes the buy and sell signals. The x-axis represents the date and the y-axis represents the price. The chart also includes a legend that labels each point. Next request.            AI User (Stock Trader):        Instruction: Print the total profit or loss for all trades.    Input: None.            AI Assistant (Python Programmer):