Concepts | AI Quantitative Trading Platform

📄️ Actors

We are currently working on this concept guide.

The NautilusTrader design integrates data providers and/or trading venues

Welcome to the architectural overview of NautilusTrader.

Backtesting with NautilusTrader is a methodical simulation process that replicates trading

The Cache is a central in-memory database that automatically stores and manages all trading-related data.

NautilusTrader provides a set of built-in data types specifically designed to represent a trading domain.

NautilusTrader can handle trade execution and order management for multiple strategies and venues

Concept guides introduce and explain the foundational ideas, components, and best practices that underpin the NautilusTrader platform.

The Instrument base class represents the core specification for any tradable asset/contract. There are

Live trading in NautilusTrader enables traders to deploy their backtested strategies in a real-time

The platform provides logging for both backtesting and live trading using a high-performance logging subsystem implemented in Rust

The MessageBus is a fundamental part of the platform, enabling communication between system components

This guide provides further details about the available order types for the platform, along with

Introduction

We are currently working on this concept guide.

This guide explains how positions work in NautilusTrader, including their lifecycle, aggregation

This guide explains the portfolio analysis and reporting capabilities provided by the ReportProvider

The heart of the NautilusTrader user experience is in writing and working with