# Predicting Bitcoin Price using LSTM

**By Varun Kruthiventi**| Jan 12, 2019 | Keras, Machine Learning, Deep Learning, ML, Data Science, DL, Time Series, featured

Predicting time series quantities has been an interesting domain in predictive analytics. Many traditional Quantitative forecasting methods like ARIMA, SES or SMA are time tested and widely used for things like predicting stock prices.
With the amount of data we have around, neural networks make a good candidate for time-series forecasting that can outshine traditional statistical methods.
Over the past few years, we had many new neural network architectures like CNN, RNN, and LSTM making inroads into Deep Learning.