#Bitcoin-price

Showing 9 of 9 repositories tagged #bitcoin-price, ranked by stars

shobrook
shobrook
BitVision

Trade Bitcoin and run forecasting models from the terminal

Score
0
β˜… 1.2k β‘‚ 191 β€”
JavaScript
pmaji
pmaji
crypto-whale-watching-app

Python Dash app that tracks whale activity in cryptocurrency markets.

Score
0
β˜… 639 β‘‚ 136 +2/day
Python
geraldoramos
geraldoramos
crypto-bar

πŸ“ˆ A menu bar app that updates cryptocurrencies prices in real-time

Score
100
β˜… 411 β‘‚ 51 +1/day
JavaScript
madnight
madnight
bitcoin-chart-cli

Bitcoin chart for the terminal as command line util

Score
0
β˜… 317 β‘‚ 38 β€”
JavaScript
T-Pham
T-Pham
CoinPriceBar

πŸ’° Cryptocurrency prices on MacBook Touch Bar

Score
50
β˜… 311 β‘‚ 41 β€”
Swift
gyk001
gyk001
viabtc_exchange_server_docker

easy run viabtc_exchange_server use docker compose

Score
0
β˜… 91 β‘‚ 97 β€”
Shell
vinniejames
vinniejames
coinfox

Crypto Coin Portfolio Manager - Track all of your Bitcoin and crypto coin investments

Score
0
β˜… 64 β‘‚ 22 β€”
JavaScript
TatevKaren
TatevKaren
recurrent-neural-network-pricing-model

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)

Score
100
β˜… 60 β‘‚ 34 β€”
Python
melihbodur
melihbodur
Bitcoin_Analysis-

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.

Score
0
β˜… 50 β‘‚ 11 β€”
Jupyter Notebook
Related Topics
#bitcoin#ethereum#ethereum-price#cryptocurrency#litecoin#bitcoin-price-prediction#machine-learning#technical-analysis#trading#cryptocurrency-exchanges#cryptocurrency-price-ticker#cryptocurrency-prices

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