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Build and Deploy Your Agentic AI Trading Partner

Design, backtest, and deploy autonomous quant partners that analyse markets, execute trades, and manage risk around the clock — no code required.

Manual Trading Is Over. Agentic Trading Has Arrived.

Markets move 24/7. Data is infinite. Global politics are unpredictable. All these and many more markers can be quantified as opportunities.

Human traders can't watch every signal, react to every tick, or execute across every asset class simultaneously.

AI trading partners can — and they never sleep, never hesitate, never deviate from the plan.

The edge isn't better data or faster execution.

The edge is autonomous agents — systems that think, adapt, and trade on your behalf.

Q314 lets you build them.

The Agentic Platform for Quant Trading

Q314 is where you build, backtest, and deploy AI trading agents — from idea to live execution, without writing code.

From hypothesis to autonomous agent — in one continuous system.

Step 1

Visual Agent Builder

Design trading agents with a modular, node-based visual canvas

Step 2

AI Agent Generation

Describe your strategy in plain English — AI builds the agent

Step 3

Rigorous Backtesting

Test agents against historical data with regime-aware analysis

Step 4

Performance Diagnostics

Deep analytics on risk, drawdown, and factor exposure

Step 5

One-Click Deployment

Deploy agents to live markets — they trade autonomously 24/7

Step 6

Team Collaboration

Branch, review, and approve agent changes with your team

Architect Agents Like Systems, Not Scripts

Design sophisticated trading agents using modular, node-based building blocks — triggers, conditions, actions, and AI logic.

Each agent compiles into a validated executable graph — structured, inspectable, and auditable before deployment.

Clarity replaces complexity.

Iteration replaces friction.

Market Data
Alternative Signals
Custom APIs
AI-Driven Logic
Conditional Risk Frameworks
Portfolio Construction Layers

Every strategy compiles into a validated executable graph — structured, inspectable, and auditable before deployment.

Your AI Quant Co-pilot

Natural Language to Autonomous Trading Agent

Describe what you want your agent to do — Q314's AI co-pilot converts natural language into fully configured trading agents, with strict schema enforcement to ensure valid, deployable output.

Not a black box.

Your quant research accelerator.

Suggest structural improvements
Identify regime sensitivities
Optimise parameters
Propose alternative signals
Surface risk concentrations
Powered by GPT with strict schema enforcement

AI-powered
agent creation

Describe your trading thesis and risk parameters in natural language — our AI co-pilot will build a fully autonomous agent for you.

Please see our important disclosures related to AI-powered agent creation

I'd like a strategy that benefits from demand for GPUs.

Here's a strategy that focuses on companies involved in the production and development of GPUs:

40%30%20%10%0%
Jan 01Mar 01May 01Jul 01
AI Strategy+34.6%
Benchmark+9.4%
3.7x
Better returns
Inside the Platform

Everything you need to build, test, and deploy

From visual agent building to AI-powered research, backtesting, and live deployment — see how Q314 brings agentic quant infrastructure to every trader.

Builder

Visual Agent Builder

Build autonomous trading agents with a drag-and-drop node canvas. Connect triggers, conditions, and actions — no code required.

app.q314.ai
Agent Builder Canvas
Research

AI-Powered Research

Run multi-factor company analysis with one query. Get factor scores, key metrics, earnings data, peer comparisons, and an AI-generated investment thesis.

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AI Research Analysis
Portfolio

Live Agent Dashboard

Track your agents' performance, equity curve, and all active positions in real time. See which agent opened each trade.

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Agent Dashboard
Backtest

Institutional Backtesting

Test agents against historical data with full trade simulation. Analyse Sharpe ratio, drawdown, win rate, profit factor, and full trade logs.

app.q314.ai
Backtest Results
AI Chat

AI Quant Co-pilot

Chat with your AI co-pilot to build, debug, and optimise agents. It asks clarifying questions, fetches live data, and generates fully-configured agent graphs.

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AI Agent Chat
Teams

Team Collaboration

Work together with agent branches, change requests, and approval workflows — like Git for trading agents.

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Team Collaboration

Serious Backtesting for Serious Capital

Every agent moves through a rigorous research pipeline before going live. Because capital deserves discipline.

Survivorship-Bias-Free Data

Historical datasets that include delisted securities for accurate backtesting

Regime-Aware Analysis

Performance breakdown across bull, bear, and sideways markets

Parameter Exploration

Structured sensitivity analysis across strategy parameters

Strategy Comparison

Side-by-side validation and comparison of multiple approaches

Risk Diagnostics

Comprehensive risk metrics, drawdown analysis, and stress testing

Institutional-grade testing. Not toy backtests.

Live Private Beta

Q314 is Deployed and Operating

Limited to the first 500 users — join now and help shape the future of agentic quant trading.

Current Capabilities

Visual agent builder with drag-and-drop canvas
Live agent execution across stocks, crypto, and forex
AI-powered agent generation from natural language
Secure authentication and persistence
Production-grade agentic infrastructure

Expanding

Coming Soon
Enhanced backtesting engine
Collaboration workflows
Institutional integrations

Simple, Transparent Pricing

Start with private beta access. Scale when you're ready.

Private Beta

£9/mo

3-month free trial included

RECOMMENDED

Professional

£299/mo

For serious systematic traders

Enterprise

£899/mo

For institutional teams

Meet the Team

Building intelligent, accessible trading for everyone

Luke

Luke

Co-Founder

Khalil

Khalil

Co-Founder