Predict bitcoin price with deep learning

Bayesian regression for latent source model and Bitcoin

This is the code for "Bitcoin Prediction" by Siraj Raval on Youtube

Predicts real-time bitcoin price using twitter and reddit sentiment, and sends out notifications via SMS.

Bitcoin price Prediction ( Time Series ) using LSTM Recurrent neural network

[NOT MAINTAINED] Predicting Bit coin price using Time series analysis and sentiment analysis of tweets on bitcoin

API for predicting the next Bitcoin and Ethereum with machine learning and technical analysis

CryptoCurrency prediction using Deep Recurrent Neural Networks

Deceptive Deep Learning Models for Predicting the Price of Bitcoin

Predict bitcoin values using social sentiments (e.g. news and reddit posts)

We are the Anchain.ai Bitcoin Price Prediction team from UC Berkeley's Data-X course. Our product is called BTC Predictor.

This project focuses on predicting the prices of Bitcoins, the most in-demand cryptocurrency of today's world.

Recurrent Neural Network (LSTM) by using TensorFlow and Keras in Python for BitCoin price prediction

This is a functional trading bot that works by predicting the price of Bitcoin using Machine Learning, and placing trades based on its prediction. It's pretty experimental and largely untested, so please don't yolo.

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)

Projects include the application of transfer learning to build a convolutional neural network (CNN) that identifies the artist of a painting, the building of predictive models for Bitcoin price data using Long Short-Term Memory recurrent neural networks (LSTMs) and a tutorial explaining how to build two types of neural network using as input the MNIST dataset, namely, a CNN using Keras and a fully-connected network using TensorFlow.

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.

1) Get bitcoin related data 2) predict bitcoin price 3)Auto trading

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Using recurrent neural networks (RNNs) to predict bitcoin prices.

Recurrent Neural Network (RNN), LSTM (Long Short-Time Memory), Bitcoin, Google Trends, Prediction, Deep Learning

Recurrent Neural Network (LSTM) by using TensorFlow and Keras in Python for BitCoin price prediction

Analysis of LSTM and Deep-Learning for machine-learning guided Bitcoin Trading.

predicting the price variations of bitcoin, a virtual cryptographic currency. These predictions could be used as the foundation of a bitcoin trading strategy. To make these predictions, you will have to familiarize yourself with a machine learning technique, Bayesian Regression, and implement this technique in Python

A Model to Predict any kind of price such as Crypto price or Stock price using LSTM network and python

bitcoin prediction algorithms

A Recurrent Neural Network to predict Bitcoin value

Bitcoin price prediction using ARIMA Model.

Predictive modeling for Bitcoin prices using LSTM and stacked neural nets

lstm-bitcoin-prediction