Predicting stock prices may seem like a daunting task; however, statistical methods like regression and ARIMA have been used to forecast stock prices using historical stock price data. With modern advances in the fields of Machine Learning and Deep Learning, new techniques such as artificial neural networks, recurrent neural networks, and Long Short Term Memory can be used to forecast the prices of stocks and other assets. In this talk, we will use TensorFlow.js to forecast the stock prices of several popular stocks using historical stock market data from a data source like Yahoo! or Google Finance. The talk accompanies the paper Time Series Forecasting of Stock Market Prices Using ARIMA Techniques and Long Short-Term Memory Networks.