Trading Algorithms

About 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).

Created by: Indian School of Business


Related Online Courses

In this Specialization aimed for those who are preparing to enter the workplace, we will share with you some key cultural and linguistic features characterizing effective communication in this... more
This specialization is intended for people without programming experience who seek to develop python programming skills and learn about the underlying computer science concepts that will allow them... more
Are you interested in predicting future outcomes using your data? This course helps you do just that! Machine learning is the process of developing, testing, and applying predictive algorithms to... more
Embark on a transformative journey that merges Generative AI tools with PHP in the \'PHP Development with Generative AI\' project, an intermediate-level initiative that blends PHP programming with... more
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you use BigQuery to troubleshoot common SQL errors, query the data-to-insights public dataset, use the Query... more

CONTINUE SEARCH

FOLLOW COLLEGE PARENT CENTRAL