Use Predictive Analytics to build an Optimal Stock Portfolio

Finance is a lucrative industry and in recent years it has heavily used data science, machine learning, deep learning, and several other computational techniques to maximize results. An important category of work within finance is stocks that resemble the equity market. In this story, I will attempt to use R for analyzing stocks through visualizations, creating predictions for future stock prices based on historical data, and then use the concept of Sharpe Ratio to create an optimal return-giving portfolio of stocks. I will walk through the complete process of using Data Visualization concepts in R to build a trading strategy. Along the way I will also introduce concepts about time series analysis, data stationarity and perform predictions.