Stock Price Prediction Using Machine Learning

Project Description

I am looking for someone with expertise in Machine Learning/Deep Learning who also has extensive knowledge of financial statements and financial data. 

I have pulled data from a database of financial information for every stock in North America from 1979 - present day. I have chosen 35 different features, all of which I know are highly correlated with a stock's return, based on numerous studies and incremental knowledge from the past 60 years. I am hoping that by standing on the shoulders of giants, and adding in a machine learning element through the use of neural networks or other machine learning algorithms, the algorithm will be able to make connections between the different positively correlated features in ways that a person would never be able to find on their own, leading to high returns.

Once the algorithm finishes training, I will want the data scientist to help me filter the training data by stock year with the hope of finding a certain optimal # of stocks to invest in per year that will lead to a combination of a high return with as low of a drawdown/Standard Deviation as possible during the bad years.

Successful work on the project could lead to continued work augmenting the project throughout the year.

While the preferred location says New York, NY, that's definitely not an actual restraint if the right person is outside of NY. If you live in NY, it would just be nice to be able to meet/chat in person is all, but don't let the location preference stop you from applying if you're outside of NY!