Algo Trading

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. ...

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: ...

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. ...

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. ...