This repo is a from-scratch implementation of a limit order book matching engine in C++ — the kind of low-latency data structure that sits at the core of every electronic exchange on the planet. The author describes it simply as "high-performance," and while the repo is still fresh with zero stars, the problem space alone makes it worth a look.

A matching engine has to do something deceptively hard: maintain two sorted books (bids and asks), accept incoming orders, and match them against resting liquidity in price-time priority — all while servicing thousands or millions of operations per second. Done naively with a sorted container, you'll bleed performance on every insert and cancel. Done well, you end up with an intricate mix of intrusive linked lists, price-level hash maps, and arena allocators. It's one of the best teaching problems in systems programming.

Why this little repo is interesting:

• Pedagogical sweet spot — order books force you to think about cache locality, branch prediction, and allocation strategy in a way few toy projects do.
• Reference material is scarce — production matching engines at exchanges are closed-source, and most open implementations are written in Python or Java. A clean C++ version is genuinely useful to study.
• Benchmark playground — even a basic engine gives you a substrate to experiment with lock-free queues, SIMD, or kernel-bypass networking later.

Who would benefit:

• Aspiring HFT / quant developers preparing for interviews where order-book questions are routine.
• Systems programmers wanting a tractable project to practice modern C++ performance techniques.
• Algo-trading hobbyists who want to backtest strategies against a realistic matching layer instead of a fill-on-mid simulator.

The codebase is early, so contributions around testing, FIX adapters, or a benchmark harness would be high-leverage additions.