The Rust Quant Stack

Rust is earning its place in quant stacks precisely where Python stalls: the hot loop. Polars brings a multi-threaded DataFrame engine with a lazy query planner that routinely outruns pandas while staying memory-safe, Apache Arrow provides columnar, zero-copy interchange so data crosses process boundaries without serialization, and crates such as arrow-rs and the trading ecosystem around order books and execution compile to a single fast binary. The sensible pattern is hybrid: keep exploratory research in Python, then move ingestion, feature computation, and simulation loops into Rust services. These tools matter even more once tick data needs a home, which is where the next node turns.