1 / 7

Mastering Electronic Markets: A Hands-On Course in Market Data and Software Development

This 8-week course delves into the world of electronic markets, guiding you through market data comprehension, software visualization, and the creation of a market simulator. Designed for both non-technical and technical individuals, it includes engaging video lessons, quizzes, and essential projects in Excel and Python. While non-technical participants can learn for interest, a certificate is awarded to those who complete quizzes and projects. Taught by a Georgia Tech professor with a PhD in Robotics/Machine Learning, this course prepares you for challenges in the finance sector.

barry-colon
Télécharger la présentation

Mastering Electronic Markets: A Hands-On Course in Market Data and Software Development

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Course Objectives • Understand electronic markets. • Understand market data. • Write software to visualize. • Write software to discover. • Create market simulator.

  2. Who This is For • Must be interested in stock markets. • Student 1: Non-technical person: • You are welcome! • Can watch lessons, take quizzes, but... • No certificate without completing projects. • Student 2: Technical person, • Undergraduate level programming required. • Certificate if quizzes & projects completed.

  3. Course Logistics • 8 weeks, 2 modules per week. • About 5 to 10 short videos per module. • Short quizzes throughout. • Projects in Excel and Python. • Students will grade each other.

  4. About the Instructor • PhD in Robotics/Machine Learning. • Professor at Georgia Tech. • Students: AQR, Citadel, GS, MS • Hedge fund quant. • Founder of Lucena Research.

  5. Course Resources • wiki.quantsoftware.org • “Active Portfolio Management” by Grinold & Khan • “All About Hedge Funds” by Jaeger

  6. Next Steps • Visit course wiki to review course objectives and “getting started.” • Visit course forum to ask questions you might have about the course. • wiki.quantsoftware.org

More Related