Description
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 – you’ll learn about Python’s 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’ll 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 account information to complete the calculations. You’ll 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’ll know how to manage your own positions, and you’ll 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 own positions.
What you will learn in the Algo Trading with Python: Build Indicators and Manage Risks course
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Build a complete algorithm, from market scanning, trade placement, to trade management
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Learn how to build indicators that work for you
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Learn how to interact with your brokers programmatically and directly
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Use the code to be systematic in trading and get your time back
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Learn how to enter trades, exit trades and receive other account data on a scheduled basis
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Learn Python skills to protect your accounts and profits
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Learn all the skills to build a Backtesitng system for your algorithm from this course.
This course is suitable for people who
- Forex and crypto traders interested in algorithmic trading
- Forex and crypto traders who are interested in using machine learning in your algorithms in the future
Algo Trading with Python course specifications: Build Indicators and Manage Risks
- Publisher: Udemy
- teacher: Jenny Hung
- Training level: beginner to advanced
- Training duration: 4 hours and 22 minutes
- Number of courses: 61
Course headings
Algo Trading with Python: Build Indicators and Manage Risks course prerequisites
- No programming experience is required. I will teach you everything you need to know.
Course images
Sample video of the course
Installation guide
After Extract, view with your favorite Player.
English subtitle
Quality: 720p
download link
File(s) password: www.downloadly.ir
Size
3.8 GB
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