It would be really interesting see a single chart that shows all crypto-fiat pairs on a single chart. The axes would need to be converted into a single domain like implied BTC market price and order value in USD to make them all accessible on a single plot, but the larger data set might give a clearer picture of the overall status of the market.
Python Bitcoin is widely used cryptocurrency for digital market. It is decentralised that means it is not own by government or any other company.Transactions are simple and easy as it doesn’t belong to any country.Records data are stored in Blockchain.Bitcoin price is variable and it is widely used so it is important to predict the price of it for making any investment.This project focuses on the accurate prediction of cryptocurrencies price using neural networks. We’re implementing a Long Short Term Memory (LSTM) model using keras; it’s a particular type of deep learning model that is well suited to time series data (or any data with temporal/spatial/structural order e.g. movies, sentences, etc.).We have used different activation function for analysing the efficiency of the system.Instead of historical data we are using live streaming data for better accuracy.
Price Prediction Case Study predicting the Bitcoin price and the Google stock price using Deep Learning, RNN with LSTM layers with TensorFlow and Keras in Python. (Includes: Data, Case Study Paper, Code)
In this project RNN variations are tested on a dataset comprised of not only Bitcoin historical price, but also other influencing factors such as macroeconomic indices, sentiments etc.
It would be really interesting see a single chart that shows all crypto-fiat pairs on a single chart. The axes would need to be converted into a single domain like implied BTC market price and order value in USD to make them all accessible on a single plot, but the larger data set might give a clearer picture of the overall status of the market.