An open-source C# platform for algorithmic trading and quantitative analysis across stocks, forex, crypto, and options markets.
StockSharp is an open-source trading platform written in C# that provides tools for developing, testing, and deploying algorithmic trading strategies. It solves the problem of accessing fragmented global markets (stocks, forex, crypto, options) through a unified API and suite of applications, enabling both automated and manual trading.
Quantitative developers, algorithmic traders, and financial institutions who need a customizable, free platform to build and run trading robots across multiple asset classes.
Developers choose StockSharp for its extensive connectivity (supporting hundreds of brokers/exchanges), completely free and open-source nature, and comprehensive toolset that includes a visual strategy designer, data management, and a full C# API—all without licensing costs.
Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
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Supports hundreds of global brokers and exchanges, including Binance, Interactive Brokers, and MT4/MT5, as detailed in the comprehensive connectors tables.
Completely free platform with no licensing costs, providing a professional-grade alternative to expensive proprietary software, as emphasized in its philosophy.
Designer tool offers drag-and-drop interface with embedded C# editor and debugger, enabling non-programmers to create and test algorithmic strategies without deep coding.
Hydra tool efficiently downloads, stores, and synchronizes market data with compression and export capabilities, essential for backtesting and analysis.
Built entirely in C#, it requires commitment to the Microsoft stack, limiting integration with popular Python or Java-based quant tools and libraries.
Configuring multiple components like Designer, Hydra, and Shell for production demands significant trading and technical expertise, with no out-of-the-box cloud solutions.
Relies on community forums and Telegram chat for assistance, which may not provide timely help compared to commercial platforms with dedicated support teams.