Running a crypto trading bot from a Raspberry Pi is an efficient and cost-effective way to automate your strategies 24/7. Combined with the powerful CCXT library, which connects to dozens of crypto exchanges, your Pi can serve as a lightweight, always-on trading node. This guide walks you through setting up a crypto trading bot using Python + CCXT on a Raspberry Pi. Why Use a Raspberry Pi? 🌱 Low power usage — great for 24/7 uptime 💰 Affordable hardware — even older Pi models work 💻 Runs full Linux — supports Python, cron jobs, logging 🔒 Physical security — run your bot at home with full control Step 1: Set Up Your Raspberry Pi Install Raspberry Pi OS (Lite or Desktop) Connect via SSH or use a monitor + keyboard Update your packages: sudo apt update && sudo apt upgrade -y Install Python and pip if not already installed: sudo apt install python3 python3-pip -y Step 2: Install CCXT CCXT is a Python library that supports trading and market data access from 100+ crypto exchanges. ...

Backtrader is one of the most popular open source frameworks for backtesting and live trading in Python. Its clean syntax, extensive documentation, and strong community make it ideal for both beginners and advanced traders. In this guide, we’ll walk through how to set up your first algorithmic trading strategy using Backtrader. New to Backtrader? Check out our detailed Backtrader overview to get started. Step 1: Install Backtrader You can install Backtrader using pip: ...

Backtesting and live trading are two sides of the same algorithmic coin. If you’re using an open source trading platform like Backtrader, Freqtrade, or QuantConnect Lean, understanding the difference — and the caveats — between these two stages is critical. What Is Backtesting? Backtesting is the process of simulating a trading strategy on historical market data to evaluate its performance. Goal: Test ideas without risking real capital Benefits: Fast iterations, insight into potential drawdowns and profitability Tools: Most open source platforms include robust backtesting engines ✅ Think of it as the strategy lab — no real money, no real consequences. ...

In a world increasingly dominated by automation and algorithmic strategies, open source trading platforms are becoming the go-to tools for retail traders, quants, and fintech developers alike. But what exactly are they—and why should you care? What Is an Open Source Trading Platform? An open source trading platform is a software framework for building, testing, and deploying trading strategies, with source code freely available for inspection, modification, and contribution. These platforms typically support: ...

Automated trading has never been more accessible—thanks to vibrant open source communities building tools for every market. In this article, we compare the top platforms tailored for crypto versus stock trading, so you can pick the right engine for your strategy and asset class. Crypto Trading Platforms 1. Freqtrade A Python-based crypto bot framework, Freqtrade excels at strategy development and execution on major exchanges. Key Features Backtesting with Hyperopt-driven parameter sweeps Live-paper trading toggle Risk controls: configurable stop-loss / trailing stops Web-dashboard for real-time metrics Why Crypto? Designed around exchange APIs and on-chain data feeds, Freqtrade’s modular architecture makes adding new tokens or DeFi protocols straightforward. Read the deep-dive on Freqtrade → ...