Collection of notebooks about quantitative finance, with interactive python code.
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Updated
Sep 26, 2021 - Jupyter Notebook
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
Different Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau
Deep Learning and Machine Learning stocks represent a promising long-term or short-term opportunity for investors and traders.
A Deep Graph-based Toolbox for Fraud Detection
Machine learning models for time series analysis
Applications of Monte Carlo methods to financial engineering projects, in Python.
A collection of methods for solving Finance/Accounting equations, implemented in C#.
Robust and flexible Python implementation of the willow tree lattice for derivatives pricing.
Financial Derivatives Calculator with 168+ Models (Options Calculator)
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.
A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X
Python Financial ENGineering (PyFENG package in PyPI.org)
C++ Matrix -- High performance and accurate (e.g. edge cases) matrix math library with expression template arithmetic operators
Markowitz portfolio optimization on synthetic and real stocks
My approaches to Financial Forecasting Challenge by G-Research
Optimization techniques on the financial area for the hedging, investment starategies, and risk measures
applications for risk management through computational portfolio construction methods
An R Package for Monte Carlo Option Pricing Algorithm for Jump Diffusion Models with Correlational Companies
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