Run Your Trading Robot on a VPS or Raspberry Pi 24/7

Discover what a Raspberry Pi is, a tiny computer, and see its unboxing with included components. Learn to load the OS onto the micro SD card for 24/7 robot use.

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.

Boot and configure a Raspberry Pi for the first boot, connect to wifi, set a static IP, enable SSH for headless management, and secure by changing the default password.

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.

Learn how to transfer configuration and strategy files to a Raspberry Pi using SSH and FileZilla, edit them on your computer, and run freetrade in a Python virtual environment.

Learn how to run freqtrade as a background process on a Raspberry Pi using screen for prototyping, detach and reconnect, while noting it won't auto restart on reboot.

Transform your Raspberry Pi into a 24/7 freetrade machine by running it as a systemd background service with absolute paths and the project's Python binary, ensuring automatic restarts.

Back up your Raspberry Pi by creating a full SD card image or saving essential files, avoiding corruption. Compare local backups with cloud options like Digital Ocean and AWS.

Discover why a Raspberry Pi runs 24/7 with a small, quiet form factor, Linux compatibility, wifi and bluetooth, and no ongoing hosting fees, making it ideal for learning and servers.

Explore the disadvantages of using a Raspberry Pi for trading, including management and updates, password risks, external network access challenges, limited performance upgrades, and the Linux learning curve.

Be aware that old social links are no longer valid; Bloom creating has replaced MGG, so follow the new social media handles for updates.

Learn what a virtual machine is and how virtual private servers provide isolated resources to run trading code remotely, with cloning and the ability to revert to earlier states.

Compare the top three vps options: AWS, digital ocean, and vulture, and learn why this course recommends vulture for beginners.

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.

The main disadvantage of a VPS is the ongoing cost, adding up yearly; a Raspberry Pi offers a one-time purchase that can save money and reduce downtime risk.

Discover cloud services geared for traders and how near-exchange servers reduce latency for automated trading, including co-located options, latency figures, and speed trading choices.

Create a cloud virtual machine with Ubuntu 19.4 on the cheapest $3.5/month plan near you, then connect via browser console or SSH.

Install freqtrade on a virtual machine, update the system, configure swap for Talibe's 2 gigabytes ram requirement, install dependencies, clone the develop branch, and run setup.

transfer files from your local computer to the virtual machine using filezilla, then run free trade with a config file containing telegram and dummy account tokens in dry-run mode.

Auto start Freqtrade on boot, restart on crashes, and run forever on a vps or raspberry pi via a system service and strategy files.

Learn to host trading on a VPS or Raspberry Pi, keep your automated trading code running 24/7, and apply these techniques to future algorithms.