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Engines for running complex simulations and stress tests on quantitative models.
Distinguishing note: Distinct from general backtesting by focusing on the quantitative modeling aspect of financial strategy evaluation.
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This project is an algorithmic trading platform designed to automate financial market analysis and the execution of investment strategies. It provides an end-to-end environment for processing real-time market data through automated decision models, allowing for the triggering of financial transactions based on predefined quantitative signals and risk parameters without manual intervention. The platform distinguishes itself through a modular pipeline architecture that decouples data ingestion, signal generation, and trade execution, facilitating the iterative refinement of investment models. I
Simulating investment strategies against historical market datasets to evaluate performance metrics and risk profiles before committing real capital.