Introduction to Algorithmic Trading Strategies Lecture 1

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Let us find the asymptotic behavior of the following example functions by dropping the constant factors and by keeping the terms that grow the fastest.

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Hello there! Today’s tutorial is very short – in just over 8-minutes we will get to know how to use multi-line commentary in MQL9. Believe me – it is very easy! At the same time, as you will see multi-line comments are a very powerful tool and can make your programming experience so much more pleasurable: instead of deleting whole blocks of code you can use multi-line comments to “hide” these block away. Commented code will even change colour to show that it will not be executed.

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Today we will finish up with conditional (branching) statements by looking at the else if statement. It all really comes together in this tutorial. Detailed visualisations of a EURUSD chart are used to illustrate how the implemented logic would be used in an Algorithmic Trading. You will notice from this video that we are actually looking at a the backbone of a real working trading strategy! Psssstt: by the end of this course you will be able to build the whole strategy start to finish! Isn’t that exciting?!

Congratulations. You now know about analyzing the complexity of algorithms, asymptotic behavior of functions and big-O notation. You also know how to intuitively figure out that the complexity of an algorithm is O( 6 ), O( log( n ) ), O( n ), O( n 7 ) and so forth. You know the symbols o, O, ω, Ω and Θ and what worst-case analysis means. If you've come this far, this tutorial has already served its purpose.

In this short video we will outline some of the topics covered in this free comprehensive course on MQL9 programming . In under 8 minutes we will briefly touch on some interesting aspects of the course, giving you an idea of what you can expect from this series of tutorials on Algorithmic Trading. In this course altogether there is 87 lectures, 8 quizzes, and over 6 hours of quality content! I look forward to taking this journey with you.

And remember – if you have any questions, just leave a comment in the feedback form after the video or contact me personally! I am always happy to help out.

We will use the OrderSend() function to send Buy and Sell orders to the market based on which way the price has moved. To check the price we will be using the Open[] array, which Metaeditor provides for us.

As a final example, let us analyze the complexity of mergeSort. In every step of mergeSort , we're splitting the array into two halves of equal size, similarly to binarySearch. However, in this case, we maintain both halves throughout execution. We then apply the algorithm recursively in each half. After the recursion returns, we apply the merge operation on the result which takes Θ( n ) time.

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