Algorithmic Trading: Backtest, Optimize & Automate in Python
What you'll learn
- Use Python to Automate your Cryptocurrency Trading
- Load Historical Data and Backtest your Strategy
- Optimize your Strategy to Find the Best Parameters to Use
- Run the Strategy in Simulation or Live
- Connect to Multiple Cryptocurrency Exchanges
- Be able to work on a Virtual Environment
- Use Open Source Code Freqtrade
- Communicate with the Strategy through your Phone
Requirements
- Some Basic Programming knowledge (Any language)
- Basic Cryptocurrency Trading Knowledge
Description
Learn to fully automate your cryptocurrency trading with this course!
This course is taught by a Quant as well as a Python/Cryptocurrency Instructor.
You will learn:
1) How to use freqtrade (open source code)
2) Use a Virtual Machine (we provide you one with all the code on it)
3) Learn How to code any strategy in freqtrade
4) Backtest a strategy so you can see how it would have performed in the past
5) Optimize a strategy to find the best parameters to get the best reward/risk ratio
6) Do a walk forward analysis to see how a strategy would perform with out of sample data (to minimize overfitting)
7) Run the strategy with paper money
8) Run the strategy with real money
9) Connect the code to Telegram so you can communicate with it with your phone.
No python knowledge?
No worries there is a Python primer in the course to get you up to speed on the language :)
See you in the course!
Who this course is for:
- Traders who would like to Automate their Cryptocurrency Trading
Featured review
Course content
- Preview03:06
- Preview02:36
- Preview01:30
- 01:28Important Changes to be aware of
- 03:19How to ask questions
Instructors
For the past 10 years, Mohsen has been heavily immersed in every aspect of trading. He has worked with/in a multitude of successful traders, proprietary trading groups, Hedge funds and Banks. He has filled several positions ranging from a discretionary trader, automated trader, quant, risk manager and programmer. He has backtested, automated and traded strategies ranging from long-term to High-Frequency black boxes that have been collocated near the exchange.
He has developed advanced knowledge in every area of trading and is considered an expert in the area of market microstructure and automation. Mohsen has started bloom trading because of his passion not only for trading but to teach others the art of trading and to build a community of like-minded people that share the same goals and values.
Ilyass has a Master of Science and a PhD in Mechanical Engineering and is a researcher in advanced materials by day. Ilyass has been a python developer who especially focuses on the areas of Machine Learning, Natural Language Processing and Deep Learning. He is the cofounder of a small start-up for which he daily writes python code.
Ilyass is also fascinated by the technological revolution that the blockchain is, and its first applications in the real world, cryptocurrencies. To share his knowledge and keep up to date in this field, Ilyass has co-founded and is an active member of "La Bulle Crypto", a podcast in french about cryptocurrencies.
This account serves bloom Udemy students with the support they need to fully understand the material learned in our courses. We are here to support you!