Trading Algorithms

Trading Algorithms

Course
en
English
20 h
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Source
  • From www.coursera.org
Conditions
  • Self-paced
  • Free Access
  • Fee-based Certificate
More info
  • 4 Sequences
  • Intermediate Level

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Course details

Syllabus

  • Week 1 - Module 1 - Introduction to Trading Strategies and Benchmarks
    After completing this module you will be able to understand what market efficiency means. You will be able to list different types of market efficiencies.
  • Week 2 - How to read an academic paper
    After completing this module you will be able to read and understand an academic paper. You will know what are the important parts of a paper and how to build a trading strategy based on them.
  • Week 3 - Module 3 - Trading Strategy 1 - F Score
    After completing this module you will understand the Piotroski F Score Strategy and the economic intuition behind it. You also be able to implement the trading strategy.
  • Week 4 - Module 4 - Trading Strategy 2 - PEAD
    In this module you will learn a strategy based on Post earnings announcement drift and will be able to implement it.

Prerequisite

None.

Instructors

Prasanna Tantri
Senior Associate Director
Center for Analytical Finance

Editor

The Indian School of Business has successfully put India on the global map of management education by nurturing young leaders with an understanding of developing economies and the society at large. Through innovations in curricula and pedagogy to reflect the shifting business landscape, the ISB is committed to providing the best venue for management education to meet the growing need to develop young leaders who can manage global challenges.

Platform

Coursera is a digital company offering massive open online course founded by computer teachers Andrew Ng and Daphne Koller Stanford University, located in Mountain View, California. 

Coursera works with top universities and organizations to make some of their courses available online, and offers courses in many subjects, including: physics, engineering, humanities, medicine, biology, social sciences, mathematics, business, computer science, digital marketing, data science, and other subjects.

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