Cryptocurrency-price-prediction

The emergence of cryptocurrency is increasing rapidly in modern society. Meanwhile it has become common for anyone to create and launch their own cryptocurrencies as often as they want. But anyways some investors are very keen about the famous crypto currencies such as bitcoins, ethereum etc.. They also care about the top performing coins and also the coin’s validity and its integrity . So , it would be better if we had a software which can predict and forecast the cryptocurrency prices of some of the famous cryptocurrencies based upon the previous performances of the crypto data . This is what our project is all about . The cryptocurrency price prediction using machine learning t is one of many ways for us to get a guess of what the upcoming cryptocurrency market would look like . So , in this project by using the Facebook- Prophet library we are forecasting the cryptocurrency price conditions of some famous crypto coins like (Bitcoin , Ethereum , Binance Coin, USD Coin , DogeCoin , Shiba Inu, Lite Coin)'). So that the investors can invest in their crypto portfolio with more clarity and with confidence . Our cryptocurrency price predictor uses yahoo finance to get the crypto data from previous years meaning from 2010 until our present day . Then the crypto predictor uses python as a de-facto language . It was built with the help of streamlit then hosted by using Heroku.

How to Run

pip install streamlit

pip install fbprophet

pip install yfinance

pip install datetime

pip install plotly

or

pip install -r requirements.txt

How to run it or modify it locally ?

Clone this repository or download this repository

git clone https://github.com/Gladrin22/Cryptocurrency-price-prediction

then go into the folder and use streamlit to run the app locally

streamlit run Stock-Prediction-app.py 

Demo

https://crypto-price-prediction-sg.herokuapp.com/

License

MIT License

Copyright (c) 2022 Gladrin Gideon Aroul

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.