Trending repositories for topic financial-engineering
Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
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.
C++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types and contiguous memory storage
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
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
Collection of notebooks about quantitative finance, with interactive python code.
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.
A collection of methods for solving Finance/Accounting equations, implemented in C#.
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.
A custom MARL (multi-agent reinforcement learning) environment where multiple agents trade against one another (self-play) in a zero-sum continuous double auction. Ray [RLlib] is used for training.
Machine learning models for time series analysis
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
Implementation of various deep learning models for limit order book. DeepLOB (Zhang et al., 2018), TransLOB (Wallbridge, 2020), DeepFolio (Sangadiev et al., 2020), etc.
A collection of methods for solving Finance/Accounting equations, implemented in C#.
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
A custom MARL (multi-agent reinforcement learning) environment where multiple agents trade against one another (self-play) in a zero-sum continuous double auction. Ray [RLlib] is used for training.
Collection of notebooks about quantitative finance, with interactive python code.
Machine learning models for time series analysis
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
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.
A collection of methods for solving Finance/Accounting equations, implemented in C#.
Implementation of various deep learning models for limit order book. DeepLOB (Zhang et al., 2018), TransLOB (Wallbridge, 2020), DeepFolio (Sangadiev et al., 2020), etc.
Financial Derivatives Calculator with 168+ Models (Options Calculator)
C++ Matrix -- High performance and accurate (e.g. edge cases) matrix math library with expression template arithmetic operators
A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X
Machine learning models for time series analysis
A custom MARL (multi-agent reinforcement learning) environment where multiple agents trade against one another (self-play) in a zero-sum continuous double auction. Ray [RLlib] is used for training.
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
Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
C++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types and contiguous memory storage
A collection of methods for solving Finance/Accounting equations, implemented in C#.
Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau
Financial Derivatives Calculator with 168+ Models (Options Calculator)
A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X
Collection of notebooks about quantitative finance, with interactive python code.
A custom MARL (multi-agent reinforcement learning) environment where multiple agents trade against one another (self-play) in a zero-sum continuous double auction. Ray [RLlib] is used for training.
Machine learning models for time series analysis