TorchQuant documentation
Welcome to TorchQuant’s documentation. TorchQuant is a comprehensive quantitative finance library built on top of PyTorch’s automatic differentiation and GPU/TPU/MPS acceleration. It is a differentiable pricing framework with high-accuracy numerical methods. It provides comprehensive tools for derivatives pricing, risk management, and stochastic model calibration.