
Learn to keep your trading robot running 24/7 using a Raspberry Pi or cloud hosting, featuring setup steps, static IP configuration, deployment of code, and secure remote access.
Install a lightweight Raspberry Pi OS image on an SD card with Etcher, then boot Raspberry Pi and complete the initial setup using a monitor and keyboard to enable Wi‑Fi.
Learn to securely access a Raspberry Pi via SSH using PuTTY or Chrome SSH, verify network availability, and prepare the device for running trading automation 24/7.
Connect to a Raspberry Pi via PuTTY and SSH to install freetrade, choosing an automated script or manual steps that install Python 3.7, libraries, and a virtual environment.
Learn to spot fake profiles and protect yourself from impersonators on Instagram and YouTube by verifying official handles and never sharing phone numbers or Bitcoin.
Be aware that old social links are no longer valid; Bloom creating has replaced MGG, so follow the new social media handles for updates.
Experience near-continuous uptime and robust redundancies with a VPS and high speed internet, ensuring outages don’t halt your trading robot; scale performance and pay only for usage.
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!