Modern Machine Learning for Investing
Traditional quantitative investing looks at snapshots of history without spending much time on how businesses evolve in the future. However, investing is inherently how the future unfolds. Current data is only a proxy for the future performance. While perfect knowledge of the future is unknowable, machine learning helps to close the gap between the past and the future and improve our decision making.
I'm Lakshay Chauhan, ML scientist at Euclidean Technologies where machine learning is the backbone of our systematic investing process. Here I write about all things machine learning and investing.