Introduction to Algorithmic Trading
This introductory level workshop will give you the ability to navigate the world of quantitative finance. It will focus on core principles of rigorous statistical research, and try to teach overall intuitions so you are comfortable learning more on your own. It will discuss the workflow of designing trading strategies and executing them in the market with practical examples based on the Quantopian platform.
Learning Outcome
- Create and backtest your own basic trading strategies
- Use algorithmic trading tools that will help you craft your strategies
- Correct for some statistical biases that can disrupt analysis
Target Audience
People interested in quantitative finance
Prerequisites for Attendees
- a beginner's knowledge of Python
- college-level math experience
- personal laptop
schedule Submitted 4 years ago
Recent Activities
Call for Proposals CLOSED
Ended on Jul 2 '18 12:00 AM IST
We are looking for deep technical topics related to Data Science. We are committed to diversity and believe in transparency. Hence, all proposals will be public.
Registered user will be able to comment on your proposal. You are required to reply to those comments to provide clarifications, explain revisions and respond to questions. The program team will look at how well you've responded to comments and updated your proposal to incorporate public suggestions. Ultimately the decision to accept a session resides with the program team.
Your proposal stands the best chance to be selected, if it's unique, fully flushed, ready-to-go. Please ensure you've read:
To encourage early submissions and iterative improvement of proposals, we start accepting proposals as soon as we find them a good fit. Since competition gets tougher with progressing time, it is advisable to avoid waiting until the last minute for proposal submission.
Naresh Jain
Vishal Gokhale
Sarah Masud
Venkatraman J
Prachi Saraph
