Tags
Language
Tags
August 2025
Su Mo Tu We Th Fr Sa
27 28 29 30 31 1 2
3 4 5 6 7 8 9
10 11 12 13 14 15 16
17 18 19 20 21 22 23
24 25 26 27 28 29 30
31 1 2 3 4 5 6
    Attention❗ To save your time, in order to download anything on this site, you must be registered 👉 HERE. If you do not have a registration yet, it is better to do it right away. ✌

    ( • )( • ) ( ͡⚆ ͜ʖ ͡⚆ ) (‿ˠ‿)
    SpicyMags.xyz

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

    Posted By: ELK1nG
    Algorithmic Trading: Backtest, Optimize & Automate in Python - Udemy

    Algorithmic Trading: Backtest, Optimize & Automate in Python - Udemy
    MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
    Language: English | Size: 1.18 GB | Duration: 1h 6m

    Learn How to Use and Manipulate Open Source Code in Python so You can Fully Automate a Trading Strategy "Audio Course"

    What you'll learn
    Optimize your Strategy to Find the Best Parameters to Use
    Use Python to Automate your Cryptocurrency Trading
    Connect to Multiple Cryptocurrency Exchanges
    Use Open Source Code Freqtrade
    Load Historical Data and Backtest your Strategy
    Load Historical Data and Backtest your Strategy
    Requirements
    Some Basic Programming knowledge (Any language)
    Basic Cryptocurrency Trading Knowledge Description
    Description
    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

    Unlike traditional stock exchanges like the New York Stock Exchange that have fixed trading hours, cryptocurrencies are traded 24/7, which makes it impossible for anyone to monitor the market on their own.

    Often in the past, I had to deal with the following questions related to my crypto trading:

    What happened overnight?

    Why are there no log entries?

    Why was this order placed?

    Why was no order placed?

    More Python Resources

    What is an IDE?

    Cheat sheet: Python 3.7 for beginners

    Top Python GUI frameworks

    Download: 7 essential PyPI libraries

    Red Hat Developers

    Latest Python content

    The usual solution is to use a crypto trading bot that places orders for you when you are doing other things, like sleeping, being with your family, or enjoying your spare time.

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