Independent quants
Move beyond notebooks and one-off scripts without giving up local execution, private code, or control of the runtime.
A Rust-powered workspace for algorithmic trading.
AlgoQuant Studio
Research, build, backtest and operate strategies in one desktop workspace, powered by AQ Engine.
Built for technical tradersVisual structure with a full-code path when the strategy demands it.
Local firstYour strategy code and runtime can remain on infrastructure you control.
One runtime modelAQ Engine carries strategy logic from historical review into live operation.
One continuous workflow
Move from an idea to a monitored system without changing tools at every stage.
AQS connects the work normally split across notebooks, visual builders, backtest tools, deployment scripts, broker integrations, and monitoring dashboards.
- 01
Research
Keep market research, strategy notes, references, and published AQI papers connected to the work.
- 02
Build
Compose reusable strategy components visually, then open the underlying code when logic becomes specific.
- 03
Backtest
Run historical scenarios and move directly from performance metrics into the decisions and trades behind them.
- 04
Deploy
Move validated strategies onto local or remote runtime nodes without rebuilding the execution path.
- 05
Monitor
Supervise account state, strategy health, variables, logs, and active insights from one operational surface.
- 06
Improve
Trace outcomes back through Insight Flow, update components, and carry the same system into the next run.
Research→Build→Backtest→Deploy→Monitor→Improve
Rust research notebooks
Research in Rust. Keep it beside your strategy.
Load historical data from your chosen datafeed through AQ Engine, combine Rust cells with research notes, and explore results with tables and charts. Notebooks stay in your strategy project; share selected code and saved outputs as a notebook block in an AQ Insights paper.
Build without a ceiling
Compose strategies visually without giving up the underlying code.
Use the node editor to structure strategy lifecycles, datafeeds, brokers, and reusable components. When a model needs custom logic, continue in code against the same engine concepts rather than leaving the platform.
Reuse alpha models and insight pipelines across strategies.
Keep portfolio, risk, and execution concerns explicit.
AI-assisted component generation and the marketplace remain clearly scoped roadmap surfaces.
Strategy EditorVisual composition with a full-code path into AQ Engine.
Hyperparameter sweeps
Explore parameter ranges without losing the result behind each run.
Define discrete values or numeric ranges in the node editor, bind each node input to the parameter it should use, and run every deterministic combination locally. AQS keeps each seed, its exact values, and its complete SQLite result independently reviewable.
Configure in the editorCreate typed domains, choose a default seed, and bind parameters from node properties.
Compare every runSort and filter sweep results by return, Sharpe, payoff, expectancy, win rate, and drawdown.
Insight FlowA reviewable trail from signal creation through execution and closure.
Decision visibility
Understand every decision your strategy makes.
Trace each trading insight through generation, transformation, acceptance, rejection, fills, management, and closure. Debug behaviour from evidence instead of reconstructing it from scattered logs.
See order context, state transitions, entry levels, exits, and rejection reasons together.
Use the same decision model during historical review and live supervision.
Backtest-to-live continuity
Review historical evidence, then operate the same system live.
Move from performance metrics into the trades and insights that produced them. When a strategy is ready, deploy it through AQ Engine and monitor account equity, runtime state, logs, and active decisions from AQS.
Backtest ReviewPerformance, trade outcomes, and insight context in one path.
Live SupervisionPortfolio-level status before drilling into a running strategy.
Built for serious technical users
A professional workflow for people already doing the hard parts.
AQS is for practitioners who understand strategy development and want to stop maintaining the surrounding toolchain themselves.
Algorithmic trading developers
Reuse alpha, risk, portfolio, and execution components instead of rebuilding infrastructure around every strategy.
Small systematic teams
Give research, deployment, and live supervision a shared operating model that can grow into governed remote workflows.
Unified quant runtime
One research-to-execution stack.
Market data becomes signals, state-aware strategy decisions, historical evidence, routed orders, portfolio risk, and live telemetry on one AQ Engine runtime.
Evidence, not promises
Inspect the product, runtime, and current integration surface.
Inspect real product screens, documented engine benchmarks and published AQI research. Follow the guides to reproduce the workflow with your own strategies.
Backtest AnalyticsReview trade excursions, exit efficiency, and outcomes in one analysis view.
- Current execution
- PaperBroker and MetaTrader 5
- Current data
- Yahoo Finance and MetaTrader 5
- Result storage
- Local SQLite backtest artefacts
- Runtime access
- Source-available AQ Engine and terminal UI
- Desktop builds
- Check current download availability
- Technical depth
- Architecture, examples, and lifecycle documentation
Engine performance suite
AQE 0.2.2 · Apple M5 Max · 5 paired runs
2 November 2026Pre-optimisationOptimised
Indicators+4.7%
Pre-optimisation26.97 M bars/s
Optimised28.24 M bars/s
Insight Pipes+18%
Pre-optimisation8.33 M stages/s
Optimised9.83 M stages/s
PaperBroker+315.2%
Pre-optimisation168.9 k orders/s
Optimised701.2 k orders/s
Independent, zero-based scale for each pair.
Throughput gains versus the pre-optimisation candidate. Synthetic local workloads; not end-to-end trading performance.
These dated measurements describe the recorded source snapshot, not verification of a later release. They do not measure live broker latency.
Methodology and full resultsFrom research to backtest review
Load historical data in a Rust notebook, explore it with Polars-backed tables and charts, then inspect saved backtests and the insights behind each trade.
Follow the research guidePapers, backtests and references
Explore AQI papers for strategy research, linked backtests, market observations and implementation decisions. Assess the evidence and assumptions behind each publication.
Browse AQI papers →Pricing
Start with the workflow. Upgrade when operating limits become the constraint.
Start with Hobby, grow into regular live monitoring with Starter, or compare a larger portfolio with Plus. Pro provides the highest personal allocation for active quants who value reusable components, remote operations, and the time recovered by replacing fragmented tooling.
Hobby
Experience the complete AQS workflow with practical operating limits.
Free
No paid subscription required.
What's included
- Backtesting and local strategy development
- Visual AQS desktop workspace
- AQ Insights access
- 1 saved cloud strategy
- 2 remote server nodes
- 1 cloud-connected strategy at a time
- 1 GB cloud storage
- 2 GB inbound and outbound per month
- 512 MB research downloads per month
- 3 public backtests
- 3 cloud-connected hours per day
Starter
For independent researchers moving from local development to regular live monitoring.
£12/ month
Billed monthly.
£132/ year
Billed yearly. Save £12 a year.
Included
- 3 saved cloud strategies
- 3 remote server nodes
- 2 simultaneously connected strategies
- 5 GB cloud storage
- 25 GB inbound and outbound per month
- 2 GB research downloads per month
- 10 public backtests
- Renewable sessions
- Remote deployment and monitoring
- Visual and full-code strategy development
Plus
For active quants comparing multiple strategies and retaining more research history.
£49/ month
Billed monthly.
£539/ year
Billed yearly. Save £49 a year.
Included
- 10 saved cloud strategies
- 10 remote server nodes
- 5 simultaneously connected strategies
- 25 GB cloud storage
- 100 GB inbound and outbound per month
- 10 GB research downloads per month
- 100 public backtests
- Renewable sessions
- Remote deployment and monitoring
- Visual and full-code strategy development
Pro
Professional workflowFor active quants replacing fragmented research and execution tooling.
£170/ month
Billed monthly.
£1,700/ year
Billed yearly. Save £340 a year.
Everything in Hobby, plus
- Remote deployment and monitoring
- Full-code strategy development path
- Priority support
- 50 saved cloud strategies
- 25 remote server nodes
- 20 simultaneously connected strategies
- 100 GB cloud storage
- 500 GB inbound and outbound per month
- 25 GB research downloads per month
- 500 public backtests
- Renewable sessions
Teams
For systematic teams planning shared infrastructure and governed rollout.
- Dedicated onboarding support
- Deployment planning for server nodes
- Team roles and collaboration roadmap planning
- Integration and governance requirements review
- Private support channel
- Commercial terms by agreement
30-day Pro money-back guarantee: available on eligible initial Pro purchases, subject to live-strategy usage, marketplace discount, and member-only AlgoQuant Insight (AQI) paper access conditions. Read the full terms.
Practical details
Before you get started.
The workspace, the runtime and the integrations you can use today.
What are AQS, AQE and AQI?
AlgoQuant Studio (AQS) is the desktop workspace. AlgoQuant Engine (AQE) runs your strategies. AlgoQuant Insights (AQI) connects published research with backtests and references.
Explore the workflowDo I need Rust to use AQS?
Install the Rust toolchain to build strategy projects. The visual editor helps you compose components without writing every connection by hand; custom component logic is written in Rust.
Read the installation guideCan I run strategies on my own machines?
Yes. Run strategies locally or on remote runtime nodes you control. AQS Cloud adds connected monitoring and sharing within your plan limits; standalone AQE execution does not require AQS Cloud.
Explore live operationWhich brokers and datafeeds can I use?
Use PaperBroker for simulation, MetaTrader 5 for broker execution, and Yahoo Finance or MetaTrader 5 for market data. Custom integrations implement the broker and datafeed traits. Check the integration guides for requirements and limitations.
Read the integration guidesWhere should I start?
Choose an available desktop build, install Rust, and create a strategy project. Run a backtest and a paper session before connecting a live broker. The getting-started guide walks through the prerequisites and workflow.
Get started with StudioDesktop application
Download AlgoQuant Studio.
Your research, strategies and live operations in one workspace. Start free with Hobby.
For your desktop
Release and installation notes
Version 0.2.1 requires macOS 13.3+, Windows with WebView2 111+, or Linux with WebKitGTK 2.40+.
Release status: alpha. Strategy APIs may change between releases. Check the installation guide for compatibility and signing notices.