Skip to content
View jaedmunt's full-sized avatar

Highlights

  • Pro

Block or report jaedmunt

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Stars

Quant

18 repositories

A list of online resources for quantitative modeling, trading, portfolio management

3,646 644 Updated Jun 15, 2024

A program for financial portfolio management, analysis and optimisation.

Python 1,677 223 Updated Nov 4, 2023

Python toolkit for quantitative finance

Jupyter Notebook 9,740 1,278 Updated Dec 18, 2025

Resources for Quantitative Finance

Python 775 143 Updated May 28, 2024

Quantitative finance research tools in Python

Jupyter Notebook 445 85 Updated Feb 2, 2023

Quantitative Finance using python - Derivatives Pricing

Python 46 17 Updated Feb 18, 2018

A Julia package for quantitative finance

Julia 39 12 Updated May 17, 2017

Quantlib implementation in pure Julia

Julia 141 43 Updated Feb 18, 2020

A collection of projects published by Bloomberg's Quantitative Finance Research team.

Jupyter Notebook 133 28 Updated Oct 19, 2021

HFT signals on GDAX

Mathematica 111 24 Updated Dec 13, 2017

Code for Machine Learning for Algorithmic Trading, 2nd edition.

Jupyter Notebook 16,206 4,914 Updated Aug 18, 2024

Quantitative analysis, strategies and backtests

Jupyter Notebook 2,752 543 Updated Aug 26, 2023

Python training for business analysts and traders

Jupyter Notebook 12,256 1,977 Updated Jul 17, 2024

Signal processing examples in python

Python 158 40 Updated Feb 19, 2020

A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.

Python 6,380 953 Updated Jan 22, 2025

The Simple Moving Average (SMA), Exponential Moving (EMA), and Moving Average Convergence Divergence (MACD) technical analysis algorithms implemented in Golang.

Go 18 3 Updated Sep 7, 2024

event-driven backtesting framework written in golang

Go 1 Updated Feb 23, 2022

A cli tool to streamline financial markets data analysis 🔧

Go 79 21 Updated May 30, 2020