Trading Algorithms

This course is part of Trading Strategies in Emerging Markets Specialization

Instructor: Prasanna Tantri

Access provided by New York State Department of Labor

61,323 already enrolled

4 modules

Gain insight into a topic and learn the fundamentals.

4.5

(1,087 reviews)

Intermediate level

Some related experience required

Flexible schedule

Approx. 12 hours

Learn at your own pace

92%

Most learners liked this course

4 modules

Gain insight into a topic and learn the fundamentals.

4.5

(1,087 reviews)

Intermediate level

Some related experience required

Flexible schedule

Approx. 12 hours

Learn at your own pace

92%

Most learners liked this course

Skills you'll gain

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

7 assignments

Taught in English

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There are 4 modules in this course

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).

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.

What's included

2 videos2 readings2 assignments1 discussion prompt

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.

What's included

4 videos1 reading2 assignments

4 videosTotal 65 minutes

How to read an academic paper - a14 minutesPreview module
How to read an academic paper - b10 minutes
How to read an academic paper - c20 minutes
How to read an academic paper - Abstract20 minutes

1 readingTotal 20 minutes

How to read and get the most out of a journal article20 minutes

2 assignmentsTotal 80 minutes

Quiz 260 minutes
Practice Quiz20 minutes

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.

What's included

5 videos1 reading1 assignment1 discussion prompt

5 videosTotal 74 minutes

Piotroski F-Score : Strategy - a16 minutesPreview module
Piotroski F-Score : Strategy - b14 minutes
Piotroski F-Score : Strategy - c18 minutes
Piotroski F-Score : Implementation - a12 minutes
Piotroski F-Score : Implementation - b12 minutes

1 readingTotal 60 minutes

Value Investing: The Use of Historical Financial Statement Information to Separate Winners from Losers60 minutes

1 assignmentTotal 75 minutes

Quiz 375 minutes

1 discussion promptTotal 20 minutes

Financial Ratios20 minutes

In this module you will learn a strategy based on Post earnings announcement drift and will be able to implement it.

What's included

4 videos1 reading2 assignments1 discussion prompt

4 videosTotal 49 minutes

Piotroski F-Score : Wrap up5 minutesPreview module
Post Earnings Announcement Drift (PEAD) - a15 minutes
Post Earnings Announcement Drift (PEAD) - b12 minutes
Wrap up15 minutes

1 readingTotal 60 minutes

An Empirical Evaluation of Accounting Income Numbers60 minutes

2 assignmentsTotal 56 minutes

Quiz 440 minutes
Practice Quiz16 minutes

1 discussion promptTotal 20 minutes

Short Selling20 minutes

Instructor

Instructor ratings

4.7 (158 ratings)

Prasanna Tantri

Indian School of Business

6 Courses87,574 learners

Offered by

Indian School of Business

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4.5

1,087 reviews

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Reviewed on Jul 22, 2017

A very good course for beginners as well as someone with intermediate knowledge in marketing. Thoroughly explained and brilliant, sensible questions providing insight to the course.

Reviewed on Nov 10, 2017

The Course was very helping in understanding the different strategies being used in the market and many of the most commonly used terms.

Reviewed on Apr 27, 2021

This is one of the best courses for learning basics about algorithms. there should be another course on implementation of algorithms using programming languages also!

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