In this research study the researcher emphasized the fast growing trends of crypto-currency rather than trends of traditional currency across the world. The current usage of digital currency should be available at different places which are easily accessible to everyone to do transaction for their business purpose. In addition, the evolution of block-chain technology and the digital backbone on which many crypto-currencies are based has many other conventions. Implementing a secure, regulatory framework can help us solve the trust and security issues that have plagued our lives for years. The researcher is stated that the human being disrupt the economy, eliminate inefficiency and human error at the heart of the economy, business and society. This research study is based on basic features of old and new crypto-currency ranking, market value, volume and its moving average. The researcher used the exploratory analysis and Vector Auto-Regression (VAR) Model on features such as open, close, high, low, volume and market cap of the crypto currency market value using data science techniques. During the research study the research found that probability of statistics P-value for open:0.984, P-value for close: 0.987, P-value for high: 0.960, P-value for low: 0.996, P-value for volume: 0.072, P-value for market Cap: 0.986 which are greater than 0.05 significant level, so the researcher concluded that there is a no significant relation between  the above features of crypto-currency in market innovations.