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adv_fin_ml_exercises

Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]

ai-for-trading

AI for trading

artificial-intelligence-for-trading

Content for Udacity's AI in Trading NanoDegree.

awesome-quant

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

awesome-quant-machine-learning-trading

Quant/Algorithm trading resources with an emphasis on Machine Learning

books_forked

some books

cqf-1

The CQF program

cqf-2

dota2project

finvba

financial modeling with excel vba

garpfrm

hands-on-machine-learning-for-algorithmic-trading

Hands-On Machine Learning for Algorithmic Trading, published by Packt

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

highcar

(CMU) Studies in FE -- Highcar Project

learn-machine-learning-in-two-months

Những kiến thức cần thiết để học tốt Machine Learning trong vòng 2 tháng. Essential Knowledge for learning Machine Learning in two months.

mth9875_vs

This repo contains lecture notes and HW for Baruch MTH9875 Volatility Surface

myblog

test

ntlresearch.github.io

ntlresearch.github.io.123

NTL RESEARCH GROUP WEBSITE

pyportfolioopt

Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity

pysabr

SABR model Python implementation

quantandfinancial

This repository contains supporting examples which are referenced from posts published on www.quantandfinancial.com

research

Notebooks based on financial machine learning.

volatility-trading

A complete set of volatility estimators based on Euan Sinclair's Volatility Trading