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How Open Source Libraries Power Algorithmic Trading

Interested in leveraging open source tools for your trading? Check out our comprehensive reviews and guides. Introduction Algorithmic trading has transformed financial markets, making it possible to execute complex strategies at scale with minimal manual intervention. At the heart of this revolution are open source libraries — the building blocks developers use to design, test, and deploy trading algorithms efficiently. This article explores how open source libraries power algorithmic trading and why they’re indispensable in today’s trading landscape. ...

June 25, 2025 · 2 min

Setting Up a CI/CD Pipeline for Your Algo Trading Scripts

Want to streamline your algo trading workflow? Check out our tool reviews and detailed guides. Why Use CI/CD in Algo Trading? CI/CD (Continuous Integration / Continuous Deployment) isn’t just for web apps — it’s an excellent way to automate testing, deployment, and version control for your trading scripts. Here’s why it matters: Ensure your code runs as expected after every change Automatically test logic before deploying live Deploy updates to cloud/VPS environments without manual effort 1. Basic Project Structure Organize your bot code like this: ...

June 18, 2025 · 2 min

Best Practices for Debugging Your Trading Bot

Building with open source tools? Check out our curated reviews of trading frameworks. Why Debugging Matters in Algo Trading A single logic error or API misfire in a trading bot can mean serious losses. Whether you’re backtesting or live trading, robust debugging practices are critical for safety, performance, and confidence in your automation. Here are the best practices I follow when debugging my trading bots. 1. Log Everything — Smartly Instead of print statements scattered everywhere, use Python’s built-in logging module: ...

June 16, 2025 · 2 min

Deploying a Crypto Trading Bot on a Raspberry Pi Using CCXT

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. ...

May 29, 2025 · 3 min

What Is an Open Source Trading Platform and Why Use One?

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: ...

May 25, 2025 · 3 min