Here you will find materials for the course of Computational Finance

Quantitative Finance book

Python demo of getting data from the Federal Reserve Economic Data (FRED) API.

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

Compute VIX and related volatility indices

Scripts/Notebooks used for my articles published on Medium

DX Analytics | Financial and Derivatives Analytics with Python

Jupyter Notebooks and code for Python for Finance (2nd ed., O'Reilly) by Yves Hilpisch.

Additional linear models including instrumental variable and panel data models that are missing from statsmodels.

Ready-to-run Docker images containing Jupyter applications

A Python implementation of global optimization with gaussian processes.

120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.

A Unified Database of NYC transport (subway, taxi/Uber, and citibike) data.

Download market data from Yahoo! Finance's API

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

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

leetcode.com , algoexpert.io solutions in python and swift

Python Deep Dive Course - Accompanying Materials

Applications of Monte Carlo methods to financial engineering projects, in Python.

Optimization techniques on the financial area for the hedging, investment starategies, and risk measures

Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau

Collection of notebooks about quantitative finance, with interactive python code.

"Deep Learning with TensorFlow" LiveLessons

Docker Images