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Learner Reviews & Feedback for Trading Algorithms by Indian School of Business

4.6
365 ratings
62 reviews

About the 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)....

Top reviews

MB

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.

DD

Apr 06, 2018

If only we had good teachers like this.\n\nbest time spent so far as per understanding,knowledge and explanation.\n\nBest possible way of making it to the point.

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51 - 59 of 59 Reviews for Trading Algorithms

By Ashish A

Mar 04, 2017

The course was ok. Some of the answers in the practise quiz were wrong.

By Bruno S

Jul 01, 2019

Excellent course, I had a bit of difficulty to understand the Week 2, the formulas, but overall the content is great.

By Saksham J

Aug 24, 2019

Expected more from it. Like, more of Algorithms.

By John J

Sep 07, 2019

This course had a lot of good ideas on not just how to implement trading strategies you find in the literature, but also how to find the reasoning behind them so that you can adapt them to your own situation.

By Arnab B

Feb 08, 2018

Good course but no module on back-testing.

By Louis A

Jun 10, 2019

Ce cours est bon mais il y énormément d'erreur. Des corrections sont à faire. Cordialement

By Anvesh M

Oct 15, 2019

Quite elementary introduction on how to approach an academic paper. Good course for theoretical concept clearance upon how an algorithm flows through an academic paper.

By Ken S

Feb 24, 2017

I liked the content that was presented. There was some really good advice, like the importance of being disciplined in sticking to the algorithm you have designed. Unfortunately there was no detail at all about how to backtest, where to get data for backtesting, where to find research papers upon which to base an algorithm, etc. In other words, everything was kept at a very abstract level, and not enough detail was provided to actually do anything.

By Haoran W

Oct 12, 2017

Too little content for a course