TorchQuantum is a backtesting framework that integrates the structure of PyTorch and WorldQuant's Operator for efficient quantitative financial analysis.
-
Updated
Jul 13, 2023 - Cython
TorchQuantum is a backtesting framework that integrates the structure of PyTorch and WorldQuant's Operator for efficient quantitative financial analysis.
UniversalLLMAdapter class initializes the appropriate client based on the specified provider.
Modular quant research system covering data, feature engineering, ML modeling, and backtesting pipeline
Add a description, image, and links to the alpha-model topic page so that developers can more easily learn about it.
To associate your repository with the alpha-model topic, visit your repo's landing page and select "manage topics."