Collection of notebooks about quantitative finance, with interactive python code.
翻译 - 带有交互式python代码的有关定量金融的笔记本合集。
#计算机科学#C++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types and contiguous memory storage
翻译 - 用于统计、金融和机器学习分析的 C++ DataFrame——在现代 C++ 中使用本机类型、连续内存存储，并且不涉及指针
Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau
#算法刷题#Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
#计算机科学#A Deep Graph-based Toolbox for Fraud Detection
Applications of Monte Carlo methods to financial engineering projects, in Python.
#区块链#Machine learning models for time series analysis
Robust and flexible Python implementation of the willow tree lattice for derivatives pricing.
#算法刷题#A collection of methods for solving Finance/Accounting equations, implemented in C#.
Financial Derivatives Calculator with 171+ Models (Options Calculator)
Python Financial ENGineering (PyFENG package in PyPI.org)
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.
#计算机科学#A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X
C++ Matrix -- High performance and accurate (e.g. edge cases) matrix math library with expression template arithmetic operators
#计算机科学#Implementation of various deep learning models for limit order book. DeepLOB (Zhang et al., 2018), TransLOB (Wallbridge, 2020), DeepFolio (Sangadiev et al., 2020), etc.
Markowitz portfolio optimization on synthetic and real stocks
😲🤑Method for Investors and Traders to make Buying and Selling Decisions. 😄Fundamental hare Market Analysis is about using Real data to evaluate a Stock's Value📊 📈 📉
Collection of notebooks and scripts related to financial engineering, quant-research and algo-trading.
Better backtest toolkit for Uniswap v3 and Aave.
#计算机科学#My approaches to Financial Forecasting Challenge by G-Research