Statistics for topic financial-engineering
RepositoryStats tracks 584,797 Github repositories, of these 15 are tagged with the financial-engineering topic.
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C++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types and contiguous memory storage
Collection of notebooks about quantitative finance, with interactive python code.
Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau
C++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types and contiguous memory storage
Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau
Collection of notebooks about quantitative finance, with interactive python code.
Collection of notebooks about quantitative finance, with interactive python code.
C++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types and contiguous memory storage
Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau
A collection of methods for solving Finance/Accounting equations, implemented in C#.
A collection of methods for solving Finance/Accounting equations, implemented in C#.
C++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types and contiguous memory storage
Collection of notebooks about quantitative finance, with interactive python code.
C++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types and contiguous memory storage
Collection of notebooks about quantitative finance, with interactive python code.
Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau
Collection of notebooks and scripts related to financial engineering, quant-research and algo-trading.
C++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types and contiguous memory storage
Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
Collection of notebooks about quantitative finance, with interactive python code.
C++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types and contiguous memory storage
Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau
Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
Collection of notebooks and scripts related to financial engineering, quant-research and algo-trading.
Implementation of various deep learning models for limit order book. DeepLOB (Zhang et al., 2018), TransLOB (Wallbridge, 2020), DeepFolio (Sangadiev et al., 2020), etc.
C++ Matrix -- High performance and accurate (e.g. edge cases) matrix math library with expression template arithmetic operators