Digital currency is currently one of the most popular investment trading. Digital currency uses decentralized technologies that allow users to make secure payments and save money without the need to register or use banks as third party. Due to its volatility over the past few years, Bitcoin has attracted the most investment in this market and was the first digital currency to be widely accepted globally. The difficulty of forecasting price changes has led to a demand for sophisticated forecasting tools in the market for digital currencies. To face these challenges this research conducted experiments with models Deep Long Short-Term Memory (LSTM) and Support Vector Machine (SVM) for Bitcoin price prediction. Deep LSTM predicts the price of Bitcoin in terms of time. The buying and selling of Bitcoin are classified successfully using SVM. Deep LSTM model performed well on Yahoo Finance data for Bitcoin price prediction and SVM performed well on Trading View Site data.