Are you a trader who is interested in learning how to build their own trading algorithm?

If so, and if you are already very familiar with Python, then this is the course for you. Leveraging on the indicators that you have already built (covered in the Getting Market Data and Constructing Indicators course), you will now learn how to programmatically compute position-size but first deciding where you would like to place your stop loss level, and then query some account information to complete the computation. You will also learn about the specific ways that you will communicate, using Python, with your brokers to enter and/or exit trades with the computed size for your risk tolerance.

Further, you will also learn about how to set the stop loss and take profit, how to move stop loss to breakeven, and how to update (trail) your stop-loss level after that point. Once you have learned all about these topics, you are able to build as many elaborate risk management strategies as you want in a way that you like to trade.

At the end of this course, you will have a firm understanding of what goes into building an algorithmic trading strategy from scratch. You will have not only all the tools necessary to create your own algorithmic strategies, you will also know how to manage your positions, as well as taking what you already know and set up a backtesting environment for yourself, so that you are able to systematically build and test strategies on an on-going basis.