High-Frequency Trading & Dark Pools

High-Frequency Trading & Dark Pools

High-Frequency Trading & Dark Pools Udemy Course

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High-Frequency Trading & Dark Pools Course Created by Viktor Tachev.

High-Frequency Trading & Dark Pools has 4.0 rating out of 5 based on 46 students. Currently this course has 221 students. Course langwage is English.

High-Frequency Trading & Dark Pools Course Description

The new reality

The financial markets are changing. And they change quickly. Technology has revolutionized the way financial instruments are traded. Participating in the trading process today is much more complex than ever before. Automated trading is now everywhere. There is no retreat. That's why it's so important to stay informed about the new realities of financial markets.

High frequency trading and dark pools

This course takes you through one of the hottest topics in financial markets right now: high-frequency trading. Innovative cutting-edge technologies are reshaping financial markets in ways never seen before. Recognizing its characteristics is the only way to keep up with the pace of this new reality.

The importance of providing information

The financial sector is an ever-changing environment. This set of lectures will provide you with all the information you need on the latest and most important aspects of development.

Completing this course will demonstrate your advanced knowledge of the subject of high frequency trading and will provide you with enough information to make the right investment decisions.

I have a master's degree in financial markets.

Experience in developing and implementing quantitative backtesting strategies

Highest rankings in domestic and international trade competitions

You have been invited to speak at various conferences across Europe on high frequency trading and its impact on volatility.

Professional experience in credit lending, private insurance and investment consulting

Bloomberg's long-time national ambassador

High-Frequency Trading & Dark Pools Course for

  • Students in Finance, Economics, Mathematics and Computer Science
  • Finance professionals
  • Independent researchers and everyone interested in the topic

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