The Python Podcast.__init__

Scott Sanderson on Algorithmic Trading

Listen Later

Visit our site to listen to past episodes, support the show, and sign up for our mailing list.

Summary

Because of its easy learning curve and broad extensibility Python has found its way into the realm of algorithmic trading at Quantopian. In this episode we spoke with Scott Sanderson about what algorithmic trading is, how it differs from high frequency trading, and how they leverage Python for empowering everyone to try their hand at it.

Brief Introduction
  • Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great.
  • Subscribe on iTunes, Stitcher, TuneIn or RSS
  • Follow us on Twitter or Google+
  • Give us feedback! Leave a review on iTunes, Tweet to us, send us an email or leave us a message on Google+
  • I would like to thank everyone who has donated to the show. Your contributions help us make the show sustainable. For details on how to support the show you can visit our site at pythonpodcast.com
  • We are recording today on December 16th, 2015 and your hosts as usual are Tobias Macey and Chris Patti
  • Today we are interviewing Scott Sanderson on Algorithmic Trading
    • Interview with Scott Sanderson
    • Introductions
    • How did you get introduced to Python? – Chris
    • Can you explain what algorithmic trading is and how it differs from high frequency trading? – Tobias
    • What kinds of algorithms and libraries are commonly leveraged for algorithmic trading? – Tobias
    • Quantopian aims to make algorithmic trading accessible to everyone. What do people need to know in order to get started? Is it necessary to have a background in mathematics or data analysis? – Tobias
    • Does the Quantopian platform build in any safe guards to prevent user’s algorithms from spiraling out of control and creating or contributing to a market crash? – Chris
    • How is Python used within Quantopian and when do you leverage other languages? – Tobias
    • What Pypi packages does Quantopian leverage in its platform? – Chris
    • How do the financial returns compare between algorithmic vs human trading on the stock market? – Tobias
    • Can you speak about any trends you see in the trading algorithms people are creating for the Quantopian platform? – Chris
      • Picks
      • Tobias
        • Kinetic Sand
        • Trivium
        • Thrift Books


        • Chris

          • Threes
          • Jessica Jones)
          • Serial


          • Scott

            • Dota 2
            • Philosophical Investigations
            • Logicomix
            • Infinite Jest


              • Keep In Touch
              • Twitter
              • Email
              • GitHub
                • Links
                • QGrid
                • SlickGrid
                • Jupyter Hub
                • Light Table
                • CodeMirror
                • Cython
                • PyData NYC Talk by Scott
                • Blaze
                • Dask
                • Theano
                • TensorFlow
                • Zipline
                • Pyfolio
                • PGContents
                • SQLAlchemy
                • Gevent
                • quantopian.com/lectures

                  • The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA

                  ...more
                  View all episodesView all episodes
                  Download on the App Store
                  The Python Podcast.__init__By Tobias Macey
                  • 4.4
                  • 4.4
                  • 4.4
                  • 4.4
                  • 4.4

                  4.4

                  100 ratings

                  More shows like The Python Podcast.__init__

                  View all
                  Software Engineering Radio - the podcast for professional software developers by se-radio@computer.org

                  Software Engineering Radio - the podcast for professional software developers

                  272 Listeners

                  The Changelog: Software Development, Open Source by Changelog Media

                  The Changelog: Software Development, Open Source

                  284 Listeners

                  Data Skeptic by Kyle Polich

                  Data Skeptic

                  480 Listeners

                  Talk Python To Me by Michael Kennedy

                  Talk Python To Me

                  590 Listeners

                  Software Engineering Daily by Software Engineering Daily

                  Software Engineering Daily

                  621 Listeners

                  The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) by Sam Charrington

                  The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

                  441 Listeners

                  Super Data Science: ML & AI Podcast with Jon Krohn by Jon Krohn

                  Super Data Science: ML & AI Podcast with Jon Krohn

                  297 Listeners

                  Python Bytes by Michael Kennedy and Brian Okken

                  Python Bytes

                  215 Listeners

                  Machine Learning Guide by OCDevel

                  Machine Learning Guide

                  763 Listeners

                  Home Assistant Podcast by HK Media

                  Home Assistant Podcast

                  65 Listeners

                  Syntax - Tasty Web Development Treats by Wes Bos & Scott Tolinski - Full Stack JavaScript Web Developers

                  Syntax - Tasty Web Development Treats

                  987 Listeners

                  DataFramed by DataCamp

                  DataFramed

                  267 Listeners

                  Practical AI by Practical AI LLC

                  Practical AI

                  192 Listeners

                  The Real Python Podcast by Real Python

                  The Real Python Podcast

                  139 Listeners

                  中国好生意 by 树杨

                  中国好生意

                  2 Listeners