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Starred repositories
Expand your neovim sense with small UI components
Plugin to improve viewing Markdown files in Neovim
Python implementation of pricing analytics and Monte Carlo simulations for stochastic volatility models including log-normal SV model, Heston
This repo includes every topic I covered for my quant finance advent of code. It is designed so anyone can follow it for free, and if you don't want to use python the first video sets it up so you …
DuckDB is an analytical in-process SQL database management system
A neovim plugin for interactively running code with the jupyter kernel. Fork of magma-nvim with improvements in image rendering, performance, and more
Figures and code examples from Bayesian Analysis with Python (third edition)
Useful Data Science and Machine Learning Tools,Libraries and Packages
💥 📈 A curated list of data science, analysis and visualization tools
A multi-factor equity risk model for quantitative trading.
A fixed income library for pricing bonds and bond futures, and derivatives such as interest rate swaps (IRS), cross-currency swaps (XCS) and FX swaps. Contains tools for full Curveset construction …
Python-based portfolio / stock widget which sources data from Yahoo Finance and calculates different types of Value-at-Risk (VaR) metrics and many other (ex-post) risk/return characteristics both o…
Implement, demonstrate, reproduce and extend the results of the Risk articles 'Differential Machine Learning' (2020) and 'PCA with a Difference' (2021) by Huge and Savine, and cover implementation …
ArbitrageLab is a python library that enables traders who want to exploit mean-reverting portfolios by providing a complete set of algorithms from the best academic journals.
The *Best Python Cheat Sheet - A dense Python cheat sheet with just what you need.
Portfolio analytics for quants, written in Python
Transparent and Efficient Financial Analysis
📝 Web-based, reactive Datalog notebooks for data analysis and visualization
Bayesian Analysis with Python (Second Edition)
A collection of code snippets from the publication Daily Dose of Data Science on Substack: http://www.dailydoseofds.com/
Visualize large time series data with plotly.py
Quantified Self Personal Data Aggregator and Data Analysis
Build and share data reports in 100% Python