在本课程中,您将学习如何在VPS(虚拟专用服务器)或树莓派上托管您的交易代码/算法。这样,您的交易代码将24/7运行,绝对不会中断。这是算法交易中的一个重要部分,它将降低您的风险并提高您的正常运行时间。

您可以使用VPS,每月只需5美元。

或者使用树莓派(将花费您40美元,但是一次性购买)。

我们介绍了使用每种方法的好处和缺点,以便您可以决定哪种选项最适合您。

然后,我们逐步介绍了如何在VPS和树莓派上托管您的代码。我们通过托管来自我们的课程“Python中的算法交易:回测,优化和自动化”中的代码来做到这一点,该课程使用了名为freqtrade的开源项目。我们展示了如何准确托管该代码,但是如果您有任何其他代码,您可以按照相同的过程来做。

完成本课程后,您将成为托管代码的专家。

MP4 | 视频:h264,1280×720 | 音频:AAC,48.0千赫
语言:英语 | 大小:4.65 GB | 时长:5小时31分钟

学习如何托管您的算法交易代码,使其可以24/7运行而不间断

您将学到什么
如何在虚拟专用服务器(VPS)上托管交易代码
如何在树莓派上托管交易代码

要求
有一些代码要托管(例如来自我们的加密算法交易课程的代码)

适合对象
任何希望学习如何托管您的交易代码以便24/7运行的人
任何已经参加过我们的加密算法交易课程并希望托管他们的代码的人

learn how to host your algorithmic trading code so that it can run 24/7 without interruption

What you’ll learn
How to host trading code on a Virtual Private Server (VPS)
How to host trading code on a Raspberry Pi

Requirements
To have some code to host (for example the code from our Crypto Algorithmic Trading Course)
Description
In this course you will learn how to host your Trading Code/Algorithm on a VPS (Virtual Private Server) or a Raspberry Pi. This way your trading code will run 24/7 with absolutely no interruption. This is an essential part in algorithmic trading as it will reduce your risk and increase your uptime.

You can either use a VPS for as little as 5$/month.

Or use a Raspberry Pi (will cost you 40$, but is a one time purchase).

We cover the benefits and disadvantages of using each method so you can decide which option is the best for you.

We then cover how to host your code in a step-by-step way on both the VPS and Raspberry Pi. We do this by hosting code from our course “Algorithmic Trading: Backtest, Optimize & Automate in Python”, which uses the Open Source project called freqtrade. We show exactly how to host that code, but if you have any other code, you can follow the same process to do so.

After doing this course you will be an expert in hosting your code.

See you in the course!

Who this course is for
Anyone who wants to learn how to host your trading code so it runs 24/7
Anyone who has taken our Crypto Algorithmic Trading Course that wants to host their code

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