  As more and more data being created every day, all of it can help take better
decisions with data analysis. It is not different from data generated in
financial markets. Here we examine the process of how the global economy is
affected by the market sentiment influenced by the micro-blogging data (tweets)
of American President Donald Trump. The news feed is gathered from The Guardian
and Bloomberg from the period between December 2016 and October 2019, which are
used to further identify the potential tweets that influenced the markets as
measured by changes in equity indices.
