Algorithmic Trading: Backtest, Optimize & Automate in Python | Udemy

Algorithmic Trading: Backtest, Optimize & Automate in Python | Udemy
English | Size: 11.38 GB
Genre: eLearning

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

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!

Who this course is for:
Traders who would like to Automate their Cryptocurrency Trading

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About WoW Team

I'm WoW Team , I love to share all the video tutorials. If you have a video tutorial, please send me, I'll post on my website. Because knowledge is not limited to, irrespective of qualifications, people join hands to help me.

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