Please confirm that you want to add High-Frequency Trading 1: Welcome to the High Frequency Trading course part 1: Basics, History and Strategies. My name is Igor Neunyvakin and I will be leading you through the course. I started my career as a financial analyst and trader in the Adekta company and even during my years in a university I started to manage a million-dollar fund.

In a while, I switched to the sphere of technologies and became a consultant on financial markets in the Cognitive Finance Technologies company, which was developing matching systems for stock exchanges as well as trading terminals.

After going through these courses you will know all the intricacies of High Frequency Trading: But that doesn't mean that it's necessary for you to start from the very first course, all of them are pretty independent, so you can start with this one….

From this Part1 you will learn basics of high frequency trading, the story of its origin, as well as popular HFT-strategies in the modern world. This course does not provide knowledge about how to program on any language, including: Python, R, MATLAB etc. In this lecture you will know what to do in order to get maximum benefits from the course.

In this lecture I will tell you what High-Frequency Trading is.

There are several approaches to the definition of High-Frequency Trading and actually it is a complicated question how to define precisely the term "High-Frequency Trading". In this lecture we will study the origins, a history of appearing and developing HFT up to our days. In this lecture we'll study HFT advantages in contrast with long-term trading or any other types of trading. Reasons of its current popularity and growth.

In this lecture we will consider classification of strategies in High-Frequency Trading in general. In the further courses we will do it more detailed. In this lecture we will study some difficulties in implementation of HFT - why not every person can implement a complicated system of High-Frequency Trading and what should he or she knows before starting. We are the team of developers of the WFAToolbox, and if we sum up our work experience in hedge funds, algorithmic strategies and software development companies, own developments and researches on this issue, then one life of the average American person is not going to be enough to contain it.

After plurality of trials and errors, we have found that MATLAB is the best instrument for creation of algorithmic trading strategies of any complexity for today. Therefore we created special WFAToolbox application, which gives to those, who want to create their own successful trading strategy or create highly profitable portfolio of strategies , possibility of doing that in the shortest time and in the most convenient form, receiving stable results and possibility of detailed analysis and research.

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Low-Frequency Vs High-Frequency Forex Trading » Learn To Trade

Get Udemy at Work. Wishlisted Wishlist Please confirm that you want to add High-Frequency Trading 1: Created by WFAToolbox Team , Igor Neunyvakin.

What Will I Learn? It will be easier to study the course if you allready know some basic terminology of financial market trading. Who is the target audience? Students Who Viewed This Course Also Viewed. Curriculum For This Course. In this lecture I will briefly overview wheat topics we will discover during the course.

What You Will Learn. Features and Advantages of HFT. High-Frequency Trading Strategies Classificatiion. Check what you've learned. In this lecture you will know what to do next after you've passed the Part 1.

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In Conclusion of Part 1. Here you can get a coupon code for Part 2. Here are slides from the course. Add Both to Cart. Working hand-in-hand with many talented programmers and engineers, I was able to learn High Frequency Trading "from the inside" and understand it not only as a trader, but also as a technical expert.

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