We will use deep learning techniques to discover features in the time series of stock prices to predict future returns. We will deal with the high level of noise in stock price movements, and constantly changing patterns that exist in the data.


Participants will use a combination of deep learning,classification and time series techniques to predict market performance. Applicable on data such as financial assets. 


This project will help students understand using machine learning and deep learning algorithms with time series data including a high level understanding of market performance of financial assets and make predictions upon it.

Duration: 3-6 Months (Online – Offline, Instructor based)