Independent quants
Move beyond notebooks and one-off scripts without giving up local execution, private code, or control of the runtime.
AlgoQuant StudioEarly Alpha
The operating system for quantitative trading.
Research, build, backtest, deploy, and monitor algorithmic trading strategies from one professional desktop environment. Keep the speed and control of code without maintaining a disconnected stack around it.
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
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.
Real product screens, public technical surfaces, an internal workflow benchmark, and published AQI research are available below.
Backtest AnalyticsCompare insight strategies, ticker performance, and cumulative contribution in one review surface.
- Current execution
- PaperBroker and MetaTrader 5
- Current data
- Yahoo Finance and MetaTrader 5
- Result storage
- Local SQLite backtest artefacts
- Runtime access
- Open-source AQ Engine and terminal UI
- Desktop channel
- macOS and Windows alpha available
- Technical depth
- Architecture, examples, and lifecycle documentation
Engine performance suite
- Indicator batch
- 23.79Mbars/s
- Insight Pipes
- 7.13Mstages/s
- PaperBroker
- 242korders/s
Release medians on Apple M5 Max. 3 warm-ups and 15 samples per workload; published rates use the slowest median from three valid runs.
Methodology and p95 latencyBeta workflow study
Our internal team achieved 3× faster strategy creation, research, and arbitrage discovery using the integrated AQS workflow.
Independent quant case study
Explore our AQI papers for strategy research, backtest findings, market observations, and implementation decisions.
Browse AQI papers →Pricing
Start with the workflow. Upgrade when operating limits become the constraint.
Hobby is the low-risk entry point. Pro is priced 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.
£0/ month
What's included
- 3 concurrent AQS-connected live strategies
- Local server node plus 2 remote server nodes
- 24-hour live session tokens
- Backtesting and local strategy development
- Visual AQS desktop workspace
- AQ Insights access
Professional workflow Pro
For active quants replacing fragmented research and execution tooling.
£170/ month
Everything in Hobby, plus
- Unlimited AQS-connected live strategies
- Unlimited remote server nodes
- Live session tokens with no expiry
- Remote deployment and monitoring
- Full-code strategy development path
- Priority support
Teams
For systematic teams planning shared infrastructure and governed rollout.
Custom
Everything in Pro, plus
- 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.
Move beyond disconnected scripts
Build your complete quantitative trading workflow in AlgoQuant Studio.
Start with Hobby on the early alpha release channel. Test the workflow locally, connect AQ Engine, and move into Pro when you need unrestricted live operations.