Descriptions
Algorithmic trading using price action strategies. If you answer at least one of these questions, I welcome you to this course. All applications of the course are done using Python. But don’t panic for Python beginners! To master Python, a FREE Python crash course is included. In this course, you will learn how to use price action to develop robust strategies. You will perform quantitative analysis to find patterns in the data. Once you have many profitable strategies, we will learn how to do vectorized backtesting. Then, you will apply portfolio techniques to reduce drawdown and maximize your returns.
This is not a programming course, nor a trading course, nor a machine learning course. It is a course that uses statistics, programming and financial theory to trade. This course was not created by a data scientist, but by a graduate in mathematics and economics with a specialization in financial mathematics. You can ask questions or read our articles on quantitative finance by simply registering in our free Discord forum. Without forgetting that the course is fulfilled or refunded for 30 days. Don’t miss the opportunity to improve your knowledge of this fascinating subject.
What you will learn
- Create an algorithmic trading strategy from scratch using pattern or number recognition
- Use any algorithm in live trading with MetaTrader 5 and Python
- Data cleansing with Pandas
- Manage financial data with Numpy, Pandas and Matplotlib
- Python programming for algorithmic trading
- Combine price action and technical analysis to optimize your performance
- Determine trading figures using the candlestick
Who is this course suitable for?
- Anyone who wants to learn algorithmic trading
Specifying algorithmic trading using price action strategies
- Editor: Udemy
- Teacher: Lucas English
- Language: English
- Level: All levels
- Number of courses: 63
- Duration: 5 hours and 21 minutes
Contents of 2024-3
Requirements
Pictures
Sample clip
installation Guide
Extract the files and watch them with your favorite player
Subtitles: English
Quality: 720p
Download links
Password file(s): free download software
File size
2GB