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Loading...Introduction to Scalable Algorithmic Trading
Last quarter, our team discovered that our algorithmic trading system couldn't handle the increased load of 10M requests/day. We tried using Python with Pandas, but it was too slow. Here's what we learned when we switched to Rust, Apache Arrow, and InfluxDB 2.6.
The Problem with Python and Pandas
When I first tried to optimize our trading system, I realized that Python and Pandas were not the best choices for high-performance computing. The main issue was the Global Interpreter Lock (GIL), which prevented true parallelism. We needed a language that could handle concurrent execution and provide low-latency performance.
Why Rust?
Rust is a systems programming language that provides memory safety and performance. It's designed for building scalable and concurrent systems.
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- Complete step-by-step implementation guide
- Working code examples you can copy-paste
- Advanced techniques and pro tips
- Common mistakes to avoid
- Real-world examples and metrics
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