Not sure if your library is still being maintained? Check out our open source trading tools list. Introduction Open source trading libraries have empowered independent developers and small funds to build powerful strategies without starting from scratch. But what happens when the tools you rely on are no longer actively maintained? In this article, we dive into the risks of using unmaintained libraries in algorithmic trading — where stability and precision are non-negotiable. ...

Curious about Lean and QuantConnect from a real user’s perspective? Check our Lean platform review). Introduction In this post, we sit down with Alex, a developer-turned-algo-trader, to discuss his experience working with QuantConnect and its open source engine, Lean. He walks us through the learning curve, the strengths of the platform, and how he uses it in his daily trading workflows. Q1: What got you interested in QuantConnect and Lean? Alex: I was initially exploring ways to backtest some intraday strategies in equities and crypto. Most platforms I tried felt either too basic or too closed-off. QuantConnect immediately stood out because of the Lean engine being open source. I loved the idea of being able to run serious quant research and backtesting in my own environment. ...

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: ...

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: ...

Curious about which open source platforms are worth using? Explore our in-depth reviews and comparisons. My Journey into Trading Tech When I first began building trading systems, I started like many — testing strategies on commercial platforms with glossy interfaces and tons of features. They worked, but something always felt off: I couldn’t fully understand what was happening under the hood. That’s when I started exploring open source trading tools. And I haven’t looked back. ...