Top 10 USDCAD EAs - Algorithmic trading strategies
Top 10 USDCAD EAs - Algorithmic trading strategies course is available on the following link with a huge discount:
https://eaforexacademy.com/courses/algorithmic-trading/
With this course, you will receive 10 algorithmic trading strategies as expert advisors.
Petko Aleksandrov has created the course focusing on the robustness of the expert advisors. This is very important and algorithmic trading for all traders.
You'll receive the ready 10 robots for trading and you will learn how to place them properly on the MetaTrader platform. The MetaTrader platform is the most common one for algorithmic trading and it is free to use.
Petko Aleksandrov is the Head Trader at EA forex Academy and then this course you will get the best of his experience. Already over 15000 students joined his courses and all are using his expert advisors.
What Petko teaches is that it is important to trade many expert advisors in one trading account. This way the traders same as the investors rely on many strategies and don't trade a single strategy.
Everyone knows that every strategy has losing periods. But when we are trading with many expert advisors or with many algorithmic trading strategies, when one loses the others will compensate for the loss.
What you learn in this course is to perform robustness testing using the MetaTraderthis means no matter what algorithmic trading strategies you are using, did you bought them online or you programmed by yourself, you will learn how to perform robust this testing.
Why we need robustness testing?
When people buy expert advisors the huge problem is that these expert advisors are over optimized. This means that they were fit to the recent historical data on the market so people will see great equity line.
The purpose is obvious - these people are sellers. Also, you will see how Petko Aleksandrov uses EA studio expert advisor strategy builder to perform more advanced robustness testing.
Monte Carlo
Multi Market
Walk Forward
If you have any questions you can always write in our trading forum:
https://eaforexacademy.com/forums/forum/general/
https://eaforexacademy.com/courses/algorithmic-trading/
With this course, you will receive 10 algorithmic trading strategies as expert advisors.
Petko Aleksandrov has created the course focusing on the robustness of the expert advisors. This is very important and algorithmic trading for all traders.
You'll receive the ready 10 robots for trading and you will learn how to place them properly on the MetaTrader platform. The MetaTrader platform is the most common one for algorithmic trading and it is free to use.
Petko Aleksandrov is the Head Trader at EA forex Academy and then this course you will get the best of his experience. Already over 15000 students joined his courses and all are using his expert advisors.
What Petko teaches is that it is important to trade many expert advisors in one trading account. This way the traders same as the investors rely on many strategies and don't trade a single strategy.
Everyone knows that every strategy has losing periods. But when we are trading with many expert advisors or with many algorithmic trading strategies, when one loses the others will compensate for the loss.
What you learn in this course is to perform robustness testing using the MetaTraderthis means no matter what algorithmic trading strategies you are using, did you bought them online or you programmed by yourself, you will learn how to perform robust this testing.
Why we need robustness testing?
When people buy expert advisors the huge problem is that these expert advisors are over optimized. This means that they were fit to the recent historical data on the market so people will see great equity line.
The purpose is obvious - these people are sellers. Also, you will see how Petko Aleksandrov uses EA studio expert advisor strategy builder to perform more advanced robustness testing.
Monte Carlo
Multi Market
Walk Forward
If you have any questions you can always write in our trading forum:
https://eaforexacademy.com/forums/forum/general/
