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Krafty Internet Marketing Forum Internet Marketing Tips, Tricks, Courses & Bots! Internet Marketing Special Downloads! Algorithmic Trading - Developing Automated Strategies

 
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Algorithmic Trading - Developing Automated Strategies
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07-26-2019, 04:18 AM
[Image: 1907121617440110.jpg]

Algorithmic Trading - Developing Automated Strategies
.MP4 | Video: 1280x720, 30 fps® | Audio: AAC, 44100 Hz, 2ch | 1.12 GB
Duration: 1.5 hours | Genre: eLearning Video | Language: English

By using Multi Time Frame - for non programmers

What you'll learn

Students will learn the most advanced methods of trading in the financial market. Trading using algorithm methods gives an advantage over others because of the speed of response and the ability to test our theories.

Requirements

The course is for beginners who have no knowledge in the financial market and who want to know how to trade the most advanced methods today. The course is also intended for traders who want to upgrade their trading capability and trade automatically.

Description

Today it is a fact among traders in the financial market that a human being has no chance of competing with a robot which can scan thousands of securities and indicators around the world in a second by using the algorithm trading.

The problem today is that most people who trade on the stock market losing money.

They sit for hours in front of a screen, lose patience and buy shares according to their gut feelings, and It's not because they don't know the rules of trading, they just cannot compete with robots which uses fast algorithmic trading and control more than 70% of the financial market activity.

The good news is that these robots were not created by aliens, they were built by humans just like you.

And today anyone can build a robot that will be traded on its own 24 hours a day according to Algorithmic Trading that we have developed.

In this curse, we will teach you how you can build a robot that can trade for you in the financial market.

And we'll share with you one of our most profitable strategies which are based on Multi-Time Frame and Momentum.

You will learn how to build an automated strategy that will trade for you 24 hours a day even when we sleep.

Our algorithmic trading strategy which we will built in the course, you can publish on our social trading network AlgoSharing, which connects traders and investors from all around the world.

In this social trading platform, traders can earn thousands of dollars every month from subscribers who copy their strategies in real time.

In AlgoSharing hundreds of successful strategies which are based on algorithmic trading, and anyone can follow and copy the strategies in his own brokerage account.

If you are new in the financial market, don't worry. This course will teach you from the beginning, step by step, and teach you how to trade correctly and automatically with the right tools, and you'll know how to trade with algorithmic trading.

This course includes unique strategy you can download and advanced trading methods.

The financial market has changed, so you must change with it!

Join us today and build a robot that will trade for you.

Who this course is for:

The course is intended for beginners and advanced traders. And anyone who wants to learn how to invest in the financial market.


[Image: 1907121617460098.jpg]
DOWNLOAD

Code:
http://nitroflare.com/view/2FF29C307F4FF8C/35azd.Algorithmic.Trading..Developing.Automated.Strategies.part1.rar
http://nitroflare.com/view/5EDCED1899227AF/35azd.Algorithmic.Trading..Developing.Automated.Strategies.part2.rar
http://nitroflare.com/view/C7BE6718F891F63/35azd.Algorithmic.Trading..Developing.Automated.Strategies.part3.rar

Code:
https://rapidgator.net/file/f0b9b827386e88e41c384ef8d6d25a32/35azd.Algorithmic.Trading..Developing.Automated.Strategies.part1.rar
https://rapidgator.net/file/411c137c81199b1c12d273494cfab498/35azd.Algorithmic.Trading..Developing.Automated.Strategies.part2.rar
https://rapidgator.net/file/9c92f63b53fdf65b87696da75fc60554/35azd.Algorithmic.Trading..Developing.Automated.Strategies.part3.rar
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