![Coursera](https://images.shiksha.com/mediadata/images/1731999501phpVCeR9D_1280x960.jpg)
![Coursera Logo](https://images.shiksha.com/mediadata/images/1578547417phpxnJqRS.jpeg)
ISB Hyderabad - Trading Algorithms
- Offered byCoursera
Trading Algorithms at Coursera Overview
Duration | 12 hours |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Intermediate |
Official Website | Explore Free Course |
Credential | Certificate |
Trading Algorithms at Coursera Highlights
- Shareable Certificate Earn a Certificate upon completion
- 100% online Start instantly and learn at your own schedule.
- Course 2 of 5 in the Trading Strategies in Emerging Markets Specialization
- Flexible deadlines Reset deadlines in accordance to your schedule.
- Intermediate Level
- Approx. 12 hours to complete
- English Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, English, Spanish
Trading Algorithms at Coursera Course details
- This course covers two of the seven trading strategies that work in emerging markets. The seven include strategies based on momentum, momentum crashes, price reversal, persistence of earnings, quality of earnings, underlying business growth, behavioral biases and textual analysis of business reports about the company.
- In the first part of the course, you will learn how to read an academic paper. What parts to pay attention to and what parts to skim through will be discussed here. For every strategy, first you will be introduced to the original research and then how to implement the strategy.
- The first strategy, Piotroski F -score will be discussed in detail. You will be taught how to calculate the F - Score and how to use this score in a strategy. This is followed by the next strategy, Post earnings announcement drift (PEAD).
Trading Algorithms at Coursera Curriculum
Module 1 - Introduction to Trading Strategies and Benchmarks
Disclaimer
Introduction to Trading Strategies
Disclaimer
Are markets efficient?
Practice Quiz
Quiz 1
How to read an academic paper
How to read an academic paper - a
How to read an academic paper - b
How to read an academic paper - c
How to read an academic paper - Abstract
How to read and get the most out of a journal article
Practice Quiz
Quiz 2
Module 3 - Trading Strategy 1 - F Score
Piotroski F-Score : Strategy - a
Piotroski F-Score : Strategy - b
Piotroski F-Score : Strategy - c
Piotroski F-Score : Implementation - a
Piotroski F-Score : Implementation - b
Value Investing: The Use of Historical Financial Statement Information to Separate Winners from Losers
Quiz 3
Module 4 - Trading Strategy 2 - PEAD
Piotroski F-Score : Wrap up
Post Earnings Announcement Drift (PEAD) - a
Post Earnings Announcement Drift (PEAD) - b
Wrap up
An Empirical Evaluation of Accounting Income Numbers
Practice Quiz
Quiz 4
Other courses offered by Coursera
Trading Algorithms at Coursera Students Ratings & Reviews
- 4-51
Student Forum
Useful Links
Know more about Coursera
Know more about Programs
- Engineering
- Instrumentation Technology
- Food Technology
- Aeronautical Engineering
- What is Machine Learning
- Metallurgical Engineering
- MTech in Computer Science Engineering
- VLSI Design
- Petroleum Engineering
- Aerospace Engineering
- BTech in Biotechnology Engineering
- Pharmaceutical engineering
- Silk Technology
- Microelectronics
- Agriculture & Farm Engineering