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Forecasting Cryptocurrency

Using machine learning to forecast 10 popular cryptocurrencies

10 Cryptocurrencies
Analyzed

Binance Coin (BNB)

Bitcoin (BTC)

Cardano (ADA)

Dogecoin (DOGE)

Ethereum (ETH)

Litecoin (LTC)

Monero (XMR)

Stellar (XLM)

Tether (USDT)

XRP (XRP)

Volatility Analysis

Click "See Results" to view the results of the close price volatility analysis

Machine Learning Background

Click "Learn More" to read about the machine learning technique used

Machine Learning Results

Click "See Results" to see the prediction vs actual results for each coin

Seasonality Analysis 

Click "See Results" to view the results of the seasonality and forecasting analysis

Data Storage:
MongoDB

This project required 2 databases due to large file sizes. Both databases store static data. For example, the databases store static csv files containing historical data for the cryptocurrencies and S&P 500. The database interfaces with the project through PyMongo. We use a MongoDB connection string to access the databases and collections. 

Current Market Trends

Coin Wise Percent Pie Chart.png
Coin Wise Age.png
Coinwise_Market_cap.png
Price Flux.png
Countrywise_Daily_Trade Volume_Crypto_Exchanges.png
Yearly_Number_Exchanges_launched_worldwide.png

Worldwide Cryptocurrency Exchanges

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