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Educational notebooks on quantitative finance, algorithmic trading, financial modelling and investment strategy
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Quantitative Finance and Algorithmic Trading
This repository contains codes that were executed during my training in the CQF (Certificate in Quantitative Finance). The codes are organized by class, facilitating navigation and reference.
All the answers for exercises from Advances in Financial Machine Learning by Dr Marco Lopez de Parodo.
Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau
Tutorials about Quantitative Finance in Python and QuantLib: Pricing, xVAs, Hedging, Portfolio Optimisation, Machine Learning and Deep Learning
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 details left out from the papers.
