Pre-IPO Market Predictor

A machine learning model was developed to forecast the “fair market value” of a company’s stock prior to its initial public offering (IPO). These predictions relied on the input of expert public opinions, the IPO performance of comparable companies, and prevailing market conditions. This allowed the client not only to asses potential investments, but also decide on when and at what price they would love to exit their position after IPO.

This project has been created using Python, Tensorflow, AWS.