It is a macroeconomics fact that the cost of production has an impact on the performance of an industry. We expect that the stock data
of relevant industries will be a valid indicator of the performance of the industry. We, hence, look to use macroeconomic data and price
data on industrial resources as parameters to train a supervised model on the target of stock data. In particular, we will focus solely on
the technological industry in this project. We will care about the impact of contextual variables on the tech stock index: so instead of
looking at the stock index itself, we will focus on the proportional change of the stock index relative to certain numbers of previous
(trading) days; and, similarly, instead of the value of the parameters, we focus on the proportional change of those variables.