Application of Machine Learning Techniques to Algorithmic Trading
Details
This meetup supported by Byte Academy.
Speaker: Shub Jain
Co-founder of Auquan
https://www.linkedin.com/in/shubj
Topic:
Application of Machine Learning Techniques to Algorithmic Trading
Schedule:
10:30am - 11:00am - ODSC Intro
11:00-11:10 Byte Academy lightning talk
11:10am - 12:10pm - Talk
12:10pm - 12:20pm - Q&A
12:20pm - 1:00pm - Networking , Pizza & Refreshments
Bio:
Shub Jain is a co-founder of Auquan, the data-science platform for financial institutions. He graduated with a CS degree from the University of California, San Diego and has previously worked at Microsoft, Gusto(silicon valley unicorn with ~4bn valuation).
Abstract:
ML techniques have found a variety of applications in Trading, this session will attempt to explore some of the ways in which trading problems can be solved using ML techniques. This will be a Python-based session and will explore the setup of a trading problem, collecting and cleaning data, featuring engineering, model building and validation, and backtesting of results. We will also discuss do's and don't and nuances of using ML methods in Algo-Trading.
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