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30-Day Money-Back Guarantee

This course includes:

  • 10 hours on-demand video
  • 1 article
  • 4 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
Finance & Accounting Investing & Trading Algorithmic Trading

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.
Rating: 4.4 out of 54.4 (1,326 ratings)
8,819 students
Created by Mohsen Hassan, Ilyass Tabiai, bloom team
Last updated 12/2020
English
English [Auto]
30-Day Money-Back Guarantee

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
Curated for the Udemy for Business collection

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

Lam Nguyen
Lam Nguyen
45 courses
1 review
Rating: 5.0 out of 5a year ago
One of the most useful course about automated trading I've ever encountered. The instructors are great at explaining things in a very practical way. It's perfect for someone, who wants to try out this kind of trading. FYI I'm making money while I sleep right now and not worrying about my open positions like I used to. This is awesome!

Course content

13 sections • 56 lectures • 9h 56m total length

  • Preview03:06
  • Preview02:36
  • Preview01:30
  • Important Changes to be aware of
    01:28
  • How to ask questions
    03:19

  • The Benefits Of Automated Trading
    05:36
  • The Pits And Downfalls of Automated Trading
    03:25
  • Prevalence of Automated Trading
    03:49
  • Why Use Open Source?
    03:55

  • Setting Up Your Environment: Options
    02:12
  • Virtual Machine: Installing Virtual Box
    04:35
  • Virtual Machine: Installing Ubuntu
    24:02
  • Python Packages and Virtual Environment
    15:45
  • Deploy Our Virtual Machine
    04:06

  • Ubuntu
    04:11
  • The Terminal
    05:30
  • Installing Apps and Editing Text
    07:52

  • What this primer is for
    01:00
  • Installing Python
    05:10
  • Using Python As A Calculator (Operators)
    05:59
  • Strings and Integers
    07:47
  • Lists and Dictionaries
    21:22
  • If Else For Statements
    23:35
  • Imports
    08:08
  • Functions
    17:26
  • Classes
    18:34

  • Quick Intro To Git
    11:25
  • Installing Freqtrade
    15:33

  • Configure Telegram
    06:31
  • Configure Binance
    04:25
  • Configure Bot
    16:30
  • Run Strategy in Sandbox
    14:40
  • Important Changes to be aware of
    00:27

  • Strategy Explanation
    18:36
  • Automated Strategies: Discussion
    03:40
  • Coding The Strategy
    22:17
  • Backtesting Strategy & Plotting Results
    18:26
  • Parameter to Optimize
    28:26
  • Doing the Optimization (part 1)
    32:54
  • Doing the Optimization (part 2)
    12:45
  • Optimizing With Larger Iteration
    09:59
  • Testing / Backtesting Optimized Strategy
    05:36
  • Preview18:33
  • Running The Strategy Live
    23:42
  • Trading Results
    10:10

  • Walkforward Analysis
    06:51
  • Performing a Walkforward Analysis
    14:29

  • freqtrade/strategies repo
    08:24
  • Assignment
    02:52
  • Connect
    01:44

Instructors

Mohsen Hassan
Founder of bloom trading
Mohsen Hassan
  • 4.6 Instructor Rating
  • 51,074 Reviews
  • 141,763 Students
  • 11 Courses

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 Tabiai
Postdoctoral fellow (PolytechniqueMTL - BombardierAerospace)
Ilyass Tabiai
  • 4.4 Instructor Rating
  • 1,460 Reviews
  • 9,244 Students
  • 2 Courses

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.

bloom team
Support for bloom Udemy Students
bloom team
  • 4.6 Instructor Rating
  • 51,074 Reviews
  • 142,014 Students
  • 11 Courses

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!

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