Udemy
UdemyAlgorithmic Trading: Backtest, Optimize & Automate in Python
4.5(2,698)20k studentsALL LEVELSEnglish
Korshub's take
Automate Your Crypto Trading from Scratch
Trading cryptocurrency manually is exhausting. This course teaches you to build and deploy a fully automated trading bot using freqtrade—an open-source framework designed for exactly this. You'll start from wherever you are: if you don't know Python, there's a primer built in.
The path is clear: code your trading strategy, backtest it against historical data to see how it would have performed, optimize it to improve your reward-to-risk ratio, and run a walk-forward analysis to catch overfitting before it costs you money. Only then do you move to paper trading—the critical step of running real code with zero capital at risk. When you're confident, you graduate to live trading, and you'll even learn to control your bot via Telegram from your phone.
Perfect for: Traders who want to move beyond manual entry and learn to code robust, tested strategies.
About 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!
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