Shypd.aiThe largest open index of AI toolsaat is an asynchronous, event-driven framework for algorithmic trading strategies, designed for Python with optional acceleration in C++. It supports a wide variety of instruments and strategies for live trading and backtesting.
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aat is an asynchronous, event-driven framework specifically designed for developing algorithmic trading strategies. It leverages Python for strategy implementation with optional C++ acceleration for performance-critical components. The framework is highly modular and extensible, supporting a diverse range of financial instruments and trading strategies. It facilitates live trading across multiple exchanges, offers fully integrated backtesting capabilities, and includes sophisticated models for slippage and transaction costs. Furthermore, aat provides robust reporting and risk mitigation features through both manual and programmatic algorithm controls, ensuring comprehensive management of trading operations. Its architecture is comparable to Zipline and Lean, offering a single strategy class for both live and backtesting environments.
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