Pre-IPO Market Predictor

A machine learning model was developed to forecast the fair market value of a company before its initial public offering (IPO). These predictions relied on expert public opinions, the IPO performance of comparable companies, and prevailing market conditions. This allowed the client not only to assess potential investments, but also to decide when and at what price to exit the position after the IPO.

This project was created using Python, TensorFlow, and AWS.