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Management of the precise timing of orders and price rounding for execution fills.
Distinct from Order Execution Engines: Specifically addresses timing and price precision rather than general order management
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pybroker is a Python algorithmic trading framework and quantitative technical analysis library designed for developing, testing, and optimizing trading strategies using historical market data. It functions as a trading strategy backtester and a financial performance evaluator, providing a structured environment to simulate trading rules and analyze their statistical reliability. The framework distinguishes itself through a market data integration layer that handles the fetching and caching of historical price data from external providers. It incorporates an event-driven backtesting engine and
Specifies the timing for buy and sell orders and manages price rounding for trade fills.