nautilus-persistence

Data persistence and storage for NautilusTrader.

The nautilus-persistence crate provides data persistence capabilities including reading and writing trading data to various storage backends. This includes Apache Parquet file support, streaming data pipelines, and cloud storage integration for historical data management.

Platform

NautilusTrader is an open-source, high-performance, production-grade algorithmic trading platform, providing quantitative traders with the ability to backtest portfolios of automated trading strategies on historical data with an event-driven engine, and also deploy those same strategies live, with no code changes.

NautilusTrader's design, architecture, and implementation philosophy prioritizes software correctness and safety at the highest level, with the aim of supporting mission-critical, trading system backtesting and live deployment workloads.

Feature flags

This crate provides feature flags to control source code inclusion during compilation:

• cloud: Enables cloud storage backends (S3, Azure, GCP, HTTP) via object_store.
• ffi: Enables the C foreign function interface (FFI) from cbindgen.
• python: Enables Python bindings from PyO3 (auto-enables cloud).
• high-precision: Enables high-precision mode to use 128-bit value types.
• extension-module: Builds as a Python extension module.

Documentation

See the docs for more detailed usage.

License

The source code for NautilusTrader is available on GitHub under the GNU Lesser General Public License v3.0.

NautilusTrader™ is developed and maintained by Nautech Systems, a technology company specializing in the development of high-performance trading systems. For more information, visit https://nautilustrader.io.

Use of this software is subject to the Disclaimer.

© 2015-2026 Nautech Systems Pty Ltd. All rights reserved.