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Develop Python strategies with graphical backtesting and market gateways

Find quantitative trading ideas and examine the research behind them

Model financial instruments with an inspectable quantitative library

Large Quantitative Models that use physics, chemistry, and scientific data to produce quantitative results.

Build JavaScript web applications with a framework and CLI that organize routes, components, and project tasks.

Organize machine-learning experiments for quantitative investment research

Explore supplied datasets through classical and Bayesian statistical analyses in a graphical application.

Analyze text collections quantitatively

A PHP framework and component library for web applications, APIs, and command-line tools.

Build native mobile interfaces with React components and a shared JavaScript or TypeScript application.

A .NET unit-testing framework for C#, F#, and Visual Basic projects.

A PHP testing framework for unit tests, assertions, exceptions, and other application behavior.

A PHP web framework with project scaffolding and reusable application features.

A TypeScript-friendly web framework that targets multiple JavaScript runtimes through Web Standards APIs.

A Rust framework for building web, desktop, and mobile apps from a shared codebase.

Render a directory of content templates into a static website without requiring a client-side framework.

A C++ test framework for unit tests, behavior-driven cases, and basic micro-benchmarks.

An Elixir web framework for building server-rendered and real-time applications.

A TypeScript web framework with project tooling for building complete applications.

Author readable keyword-driven acceptance tests and run them from the command line with structured result reports.

Build event-driven market simulations with a shared strategy engine

Search public trading disclosures and compare the dates behind them

Examine stock-factor returns, predictive relationships and turnover

Research and backtest quantitative strategies in notebooks and code