{"id":2051,"date":"2026-08-10T08:53:30","date_gmt":"2026-08-10T08:53:30","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/udemy-algo-trading-with-python-build-indicators-and-manage-risks-2022-3\/"},"modified":"2026-08-10T08:53:30","modified_gmt":"2026-08-10T08:53:30","slug":"udemy-algo-trading-with-python-build-indicators-and-manage-risks-2022-3","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/udemy-algo-trading-with-python-build-indicators-and-manage-risks-2022-3\/","title":{"rendered":"Udemy \u2013 Algo Trading with Python: Build Indicators and Manage Risks 2022-3"},"content":{"rendered":"
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Description<\/span><\/h2>\n

Algo Trading with Python course: Build Indicators and Manage Risks. Algo Trading with Python training course: creating indicators and managing risks. Are you a trader interested in learning how to build your own trading algorithm? If so, this course will teach you the basics of Python \u2013 you\u2019ll learn about Python\u2019s native data types and know how to work with the control flow structure so you can build decision logic into your code. . Trading is hard, but very rewarding. With Python, you can put in place a methodical system for building your own rule-based algorithm to effectively achieve your goal. Python is also a suitable language for artificial intelligence-based algorithms using a variety of machine learning techniques. Artificial intelligence based courses are coming soon. This complete pattern business course with Python teaches all the Python syntax you need to know and prepares you for working with Pandas, handling DateTime objects, and handling errors. Then you will immediately learn how to use Python to connect to the MetaTrader5 terminal and receive market information directly, as well as account information programmatically from your broker. You\u2019ll also learn about building indicators that work for your trading style using Pandas, Ta-Lib, or writing your own user-defined functions. You will learn how to calculate position size programmatically, but first decide where you want to place your stop loss, and then look up the account information to complete the calculations. You\u2019ll learn about the specific ways you communicate with your brokers using Python to enter and\/or exit trades sized for your risk tolerance. In addition, you will also learn how to set a stop loss and take profit, how to move a stop loss to a breakout point, and how to update (track) your stop loss level after that point. Once you learn all about these topics, you can build the sophisticated risk management strategies you want to trade the way you like. By the end of this course, you will have a solid understanding of what goes into creating an algorithmic trading strategy from scratch. Not only will you have all the tools you need to create your own algorithmic strategies, but you\u2019ll know how to manage your own positions, and you\u2019ll know how to use what you already know and set up a backtesting environment for yourself so you can systematically strategize. Build and test continuously. The purpose of this series is to give you an understanding of what goes into building an algorithmic trading strategy from scratch. By the end of this three-part series, you should not only have all the tools you need to create your own algorithmic strategies, but also know how to manage your positions.<\/span><\/p>\n

What you will learn in the Algo Trading with Python: Build Indicators and Manage Risks course<\/span><\/h3>\n