Algorithmic Trading: Backtest, Optimize & Automate in Python

Learn How to Use and Manipulate Open Source Code in Python so You can Fully Automate a Cryptocurrency Trading Strategy.

4.23 (2578 reviews)
Udemy
platform
English
language
Investing & Trading
category
instructor
Algorithmic Trading: Backtest, Optimize & Automate in Python
18,844
students
10 hours
content
Apr 2022
last update
$69.99
regular price

What you will 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

Why take this course?

Learn to fully automate your cryptocurrency trading with this course!


You will learn:

1) How to use freqtrade (it's an open source code)

2) Use a Virtual Machine (we provide you one with all the code on it, all you need to do is download it)

3) Learn How to code any strategy in freqtrade (We show you how to code a strategy and show you a repository with other strategies)

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 (Extremely important step, in order to test out your code without risking any real capital)

8) Run the strategy with real money

9) Connect the code to Telegram so you can communicate with it with your phone (You will be able to start or stop your trading algorithm from anywhere as long as you have your phone with you)


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!

Screenshots

Algorithmic Trading: Backtest, Optimize & Automate in Python - Screenshot_01Algorithmic Trading: Backtest, Optimize & Automate in Python - Screenshot_02Algorithmic Trading: Backtest, Optimize & Automate in Python - Screenshot_03Algorithmic Trading: Backtest, Optimize & Automate in Python - Screenshot_04

Reviews

Mark
April 4, 2024
I've taken several of Mohsen's courses and I live how be breaks things down in to reasonable units, I've taken other Python/code courses where the modes are too long to reasonably get through in a single sitting. Great job
Jordi
February 10, 2024
It is but it is a little updated it could be redone a little bit with the new version of freqtrade, it is quite different and it seems quite a few people are having problems.
Max
November 1, 2023
The course might have been good in 2018 when it was launched. Nonetheless, in October 2023 the course is not updated. I had problems trying to install all the software. Additionally, the Virtual Machine cannot connect to Telegram because this app does not support older versions of software. Furthermore, as I installed software from the course, I could not get a refund. Now I feel frustrated because I lost a lot of time looking for a good course and because I stressed a lot. Therefore, I would not recommend this course because it is outdated.
榎本智之
October 4, 2023
There talked nothing about Github but lectures going on and on and all of the sudden at section 27, theres a Github and you have the picture, very unkind and unhelpful, You cannot learn anything about Python.
Brian
September 28, 2023
The entire configuration set up didn't work. Imported the "finished product" into my virtual box -- couldn't update a file because I ran out of space. Python primer was very poorly taught and very haphazard. Don't want to any further because if the technical preparation is this bad, then I have no confidence in their trading bot.
Gabor
September 13, 2023
Its a good start with Freqtrade, highlight the main points, factors to consider, then you can grow by asking in Freqtrade discord chat. Thank you Guys!
Sherwin
July 13, 2023
Instructors are amazing and well versed on what they are teaching, thank you guys for your indebted work and dedication to providing and presenting excellence to your students. Highly appreciated and grateful, thank you again for your hard work and your time
Roberto
June 24, 2023
Needed to upload and install various programs and create a virtual machine. Speaks to fast, and could not make the various programs work. Wasted a lot of time without touching any of the trading or testing.
Mukund
March 28, 2023
i cannot get past the setting up stage even though i have mirrored and used the same software shown in the lecture.
Hagino
December 29, 2022
Dear morsen, you are a god to me. There is no other investor who can teach me so much. It was a great lecture. Virtual images can be difficult to create yourself. There are older versions and dependencies. However, it is already prepared. If you understand programming, you can easily learn how to use it.
Chia
December 3, 2022
Course is outdated. Technically still works but require massive time investment to figure out what to do differently.
Ravitej
November 9, 2022
Its a good course which we can not only learn new things but also can rely on it to use in real life.
Ahmed
November 8, 2022
Worst Course I have done ever buy on Udemy, Instructors Skipping everything, and ITS OUTDATED ( Don't Buy ) Last update was on 2019 NOT RECOMMANDED
Omar
October 19, 2022
I've bought Forex Algorithmic Trading Course: Code a Forex Robot course but I did not finish it because I don't want to learn MT4 when its no longer supported. Its not difficult for me to learn MT5 but I do want to spend time digging and search the documentation of MT5. I just wanna test a simple strategy, lets see if I will be able to create it after this cause otherwise I need to learn MT5 anyway pepehands.
Oupa
July 22, 2022
so far my money didnt go to waist. content is very clear and on point. its only the begining but im loving the content. thanks a lot.

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2072360
udemy ID
12/7/2018
course created date
11/6/2019
course indexed date
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course submited by