Skip to content

AlgoQuant Documentation

Build, test, review, and operate systematic trading strategies with the AlgoQuant desktop and engine stack.

Engine documentation

AQE is the runtime layer behind the AlgoQuant stack. These pages explain the strategy lifecycle, insight model, broker and datafeed surfaces, backtest flow, and live-session behaviour that AQS renders during operation.

Getting Started

Build a blank strategy, generate insights, choose a broker/datafeed, and run AQE in backtest or live mode. Start at Getting Started.

Live Runtime

Understand strategy sessions, insight pipelines, live metrics, broker events, and the records synced into AQS. Read Live Runtime.

Insights

Learn how insights move through new, executed, filled, closed, cancelled, and rejected states. Read Insights.

Brokers & Datafeeds

Review the execution and market-data integrations available to the runtime. Read Brokers & Datafeeds.

Alpha Models

Use alpha models to turn market state into engine-native insights. Read Alpha Models.

Insight Pipes

Compose sizing, validation, risk, and management logic around the insight lifecycle. Read Insight Pipes.

Desktop documentation

AQS is the desktop application around AQE. It gives builders a visual strategy workspace, backtest review surfaces, live strategy monitoring, and insight inspection without hiding the runtime state underneath.

AQS Overview

See how AlgoQuant Studio fits around the engine and which product surfaces matter first. Read AQS Overview.

Getting Started

Install the desktop app, open a project, and move through the core Studio workflow. Read Getting Started with AQS.

Live Strategies

Monitor active sessions, inspect insights, and review account and equity state. Read Live Strategies.

Backtest Review

Analyse performance, inspect trades, and carry historical review into deployment decisions. Read Backtest Review.

Strategy Editor

Build strategies, configure runtime settings, and prepare projects for execution. Read Strategy Editor.

Source

Follow the public AlgoQuant Engine repository while the private Studio repository and desktop releases mature. Visit GitHub.