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Want to dive deeper into open source trading frameworks? Explore our detailed reviews and comparisons. Why Trend Following? Before building any bot, I wanted a strategy that’s simple, robust, and proven. Trend following checks all the boxes — it’s based on price momentum and works across markets. The core idea is simple: Buy when the price is above a moving average. Sell when it’s below. With that in mind, I built a complete pipeline using only open source tools. ...

New to institutional-grade open source tools? Explore our framework reviews and analysis. A Shift in the Trading Landscape Historically, institutional trading has been dominated by proprietary, black-box systems — expensive, closed, and inflexible. But in recent years, open source has quietly become a serious contender. From quant research to execution engines, hedge funds, banks, and fintech firms are increasingly leveraging open source technologies to stay agile and reduce costs. Why Institutions Are Embracing Open Source 1. Cost Efficiency Institutions face steep licensing fees for legacy trading software. Open source platforms eliminate those costs while allowing for deep customization. ...

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. ...