Python

Interested in building your own trading bot? Explore our open source trading platforms and tools for more insights. Introduction Choosing the right programming language is a crucial step when building custom trading bots. Each language comes with its strengths and trade-offs, influencing development speed, performance, and ease of maintenance. Among the most popular choices are Python, Java, and C++. This article compares these three languages to help you decide which suits your trading bot project best. ...

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. ...

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 But what happens when the tools you rely on are no longer actively maintained?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: ...