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Institutional-Grade Quant Trading Infrastructure for Mid-Market Firms

QuantJourney empowers hedge funds, family offices, and proprietary trading firms with modular, cloud-scalable quant infrastructure. Focus on generating alpha, not on tech headaches or high costs. Access AI-driven backtesting, multi-asset data, and real-time risk tools—previously only available to the largest players.

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Our partners: EODHD FMP SEC CCXT

The QuantJourney Ecosystem

Our advanced, modular solutions can be adopted gradually as individual open source libraries or as a complete unified API platform. Explore our suite of sustainable, open source and proprietary quant tools that cover everything you need to scale your trading infrastructure:

Core AI Platform

  • 10x Faster Backtesting Engine
  • Multi-Asset Data Integration
  • Modular Architecture Demo

Data & Analytics

  • Real-Time Data Streaming
  • Research Results
  • Multi-Tier Database Architecture

Strategy Tools

  • Strategy Development Language
  • Factor Modeling Engine
  • Signal and Weights Generation
  • Strategy Discovery
  • Strategy Dashboard

Portfolio Management

  • Multi-Asset Portfolio Construction
  • Smart Rebalancing Engine
  • Performance Attribution

AI & Machine Learning

  • AI Agent System
  • Machine Learning Optimization
  • Predictive Analytics Engine

Risk & Execution

  • Portfolio Risk Dashboard
  • Risk Attribution Analysis
  • Multi-Broker Integration
  • Trade Management System
Code Example

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The document data model maps to how you think and code. Break out of rigid, tabular data structures with flexible documents that map directly to objects in your code. Embed related data into a single document to increase performance and minimize computational cost.

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Docs

Reference manuals, articles, and code samples – all the technical documentation you need to deploy, configure, and run QuantJourney.

Documentation

QuantJourney University

Level up your QuantJourney skills with free courses, labs, badges, and certification.

Start learning today

Community Forum

Join 10K+ developers on our Community Forums to get advice, learn tips and tricks, and share your projects and experience.

Join the community

QuantJourney Platform

The modern quant infrastructure for any use case
Learn about the platform
10,000+ Backtests Run
20+ yrs Historical Data
<50ms Execution Latency
99.99% Uptime

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FAQ

QuantJourney FAQ

These are some of our most frequently asked questions.
Get started →

QuantJourney is a platform and framework designed to empower individuals in quantitative trading, data science, and programming. It provides a unified system for fetching data, processing it efficiently, backtesting trading strategies, and customizing workflows through extendable modules. Additionally, QuantJourney offers educational content, coding tutorials, and community support to help beginners and experienced traders build and optimize trading algorithms.

QuantJourney is ideal for aspiring quantitative traders, data scientists, programmers, and financial enthusiasts. Whether you're a beginner learning to code trading algorithms or an experienced quant developing custom strategies, QuantJourney's tools, blog series, and community resources cater to all skill levels. Paid subscribers gain access to exclusive code repositories and advanced features.

To start, visit quantjourney.dev or quantjourney.substack.com to explore free blog content and tutorials. For access to the full QuantJourney framework and private GitHub repositories, subscribe to the QuantJourney with Code blog on Substack. You can also watch installation videos on the QuantJourney YouTube channel to set up the framework and begin building trading strategies.

QuantJourney offers a comprehensive framework for trading workflows, including data fetching, strategy backtesting, and risk management tools. The platform includes blog posts on quantitative finance, Python-based coding tutorials, real-world case studies, and custom algorithm development guides. Paid subscribers receive access to full codebases, while the community provides feedback and collaboration opportunities.

Yes, QuantJourney is beginner-friendly! While some programming knowledge (e.g., Python) is helpful, the platform offers step-by-step tutorials and diverse coding techniques, from basic scripting to advanced programming. The blog series guides users through the learning process, and the community is available to answer questions and provide support.

Absolutely! QuantJourney welcomes contributions from developers, traders, and enthusiasts. You can contribute by submitting pull requests to the project's GitHub repository, sharing feedback, or collaborating on coding projects. Check the CONTRIBUTING.md file on GitHub for details on the code of conduct and submission process, and join the community to connect with like-minded quant traders.

What Our Users Say

★★★★★

“The backtesting engine is the fastest we've used. Our team iterates strategies in days, not weeks.”

Quant PM, London
★★★★★

“QuantJourney's support is world-class. We integrated with our OMS in under a week.”

CTO, Prop Firm
★★★★★

“The analytics and risk dashboards are a game changer for our reporting.”

Risk Lead, Family Office
Ready to accelerate your quant journey?
Request a Demo

Docs

Reference manuals, articles, and code samples – all the technical documentation you need to deploy, configure, and run QuantJourney.

Documentation

QuantJourney University

Level up your QuantJourney skills with free courses, labs, badges, and certification.

Start learning today

Community Forum

Join 10K+ developers on our Community Forums to get advice, learn tips and tricks, and share your projects and experience.

Join the community

Case Study: AlphaEdge Fund

AlphaEdge Fund used QuantJourney to automate their backtesting and risk workflows, reducing strategy launch time from 3 months to 3 weeks. Their Sharpe ratio improved by 22% after integrating our AI-powered analytics.

  • Time-to-market: -75%
  • Sharpe Ratio: +22%
  • Operational Overhead: -40%
AlphaEdge Fund
“QuantJourney's platform let us launch new strategies 5x faster and with total confidence in our risk controls.”
Client Alex M., Portfolio Manager Hedge Fund Client
FAQ

QuantJourney FAQ

These are some of our most frequently asked questions.
Get started →

QuantJourney is a platform and framework designed to empower individuals in quantitative trading, data science, and programming. It provides a unified system for fetching data, processing it efficiently, backtesting trading strategies, and customizing workflows through extendable modules. Additionally, QuantJourney offers educational content, coding tutorials, and community support to help beginners and experienced traders build and optimize trading algorithms.

QuantJourney is ideal for aspiring quantitative traders, data scientists, programmers, and financial enthusiasts. Whether you're a beginner learning to code trading algorithms or an experienced quant developing custom strategies, QuantJourney's tools, blog series, and community resources cater to all skill levels. Paid subscribers gain access to exclusive code repositories and advanced features.

To start, visit quantjourney.dev or quantjourney.substack.com to explore free blog content and tutorials. For access to the full QuantJourney framework and private GitHub repositories, subscribe to the QuantJourney with Code blog on Substack. You can also watch installation videos on the QuantJourney YouTube channel to set up the framework and begin building trading strategies.

QuantJourney offers a comprehensive framework for trading workflows, including data fetching, strategy backtesting, and risk management tools. The platform includes blog posts on quantitative finance, Python-based coding tutorials, real-world case studies, and custom algorithm development guides. Paid subscribers receive access to full codebases, while the community provides feedback and collaboration opportunities.

Yes, QuantJourney is beginner-friendly! While some programming knowledge (e.g., Python) is helpful, the platform offers step-by-step tutorials and diverse coding techniques, from basic scripting to advanced programming. The blog series guides users through the learning process, and the community is available to answer questions and provide support.

Absolutely! QuantJourney welcomes contributions from developers, traders, and enthusiasts. You can contribute by submitting pull requests to the project's GitHub repository, sharing feedback, or collaborating on coding projects. Check the CONTRIBUTING.md file on GitHub for details on the code of conduct and submission process, and join the community to connect with like-minded quant traders.