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Opiniones y comentarios de aprendices correspondientes a Trading Algorithms por parte de Escuela de Negocios de la India

4.6
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384 calificaciones
67 revisiones

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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)....

Principales revisiones

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 - 65 de 65 revisiones para Trading Algorithms

por Kartik S

Feb 01, 2018

The professor spends a lot of time explaining how the theory is not meant to guarantee profits far too many times which takes up 2.5 minutes of every video.

Otherwise, the course is very useful and understandable.

por 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.

por 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.

por Chukwudi U

Dec 30, 2018

Great content, but some of the reading material isn't obtainable via the links listed.

por Ashish A

Mar 04, 2017

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

por Jeewan S

Jun 16, 2018

The Quiz answer explanations are required to rationalise one's score.

por Antony J A

Feb 05, 2020

The course offered an interesting perspective to a beginner like me.

por Saksham J

Aug 24, 2019

Expected more from it. Like, more of Algorithms.

por Mridul A

Jan 29, 2020

Maybe, there could have been more content.

por Sung Y L

Jan 19, 2020

I really liked the material and the lecturer. He covers all the basic but practical stuff you need for actual investing. However the course itself seems quite immature, especially the evaluation (tests). Please let us know the right answer and the explanations of the questions!

por 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.

por Louis A

Jun 10, 2019

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

por Arnab B

Feb 08, 2018

Good course but no module on back-testing.

por 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.

por Haoran W

Oct 12, 2017

Too little content for a course