Rust-powered execution with Python bindings and WASM support for frictionless deployment.
Faster than pure Python for portfolio simulations
Average tick-to-decision latency
Peak throughput on multi-core backtests
100M+ rows analytical query end-to-end
Daily data processed with streaming ingestion
Zero-copy message passing, SIMD vectorization, and async runtimes ensure sub-millisecond execution for critical arbitrage paths.
DuckDB + Parquet storage keeps cold data compressed while Polarway streams hot ticks directly into in-memory views.
PyO3 bindings expose Rust kernels to Python notebooks without sacrificing latency or memory safety.
WASM build ships the same compute kernels into browsers and edge workers for low-latency visualization.
Pipeline tuned for sub-millisecond decisioning on colocated feeds with graceful degradation on cloud deployments.
| Workload | Dataset | Latency | Speedup vs Python |
|---|---|---|---|
| Portfolio backtest | 12M rows (multiday) | < 4.2s | 12x |
| Order flow imbalance | 180M ticks | < 2.8s | 18x |
| Feature generation | 50GB parquet | < 5.0s | 10x |
Run the demo with your datasets or connect to our sandbox exchange feeds to validate latency on your own hardware.
Launch Demo