Mister Amateur's Projects
Code developed for the Advanced C++ and Modern Design Online Certificate taken with Baruch MFE program and taught by Dr. Daniel Duffy from QuantNet
Code repository for Pricing and Trading Interest Rate Derivatives
Here you will find materials for the course of Computational Finance
A list of online resources for quantitative modeling, trading, portfolio management
Selenium-based bot that autobids and autobuys players on FIFA 21 Ultimate Team's transfer market
Collection of notebooks about quantitative finance, with interactive python code.
Mathematical Finance Library: Algorithms and methodologies related to mathematical finance.
NYU FRE-GY 6971 Fixed Income Quant Trading
Notebooks, resources and references accompanying the book Machine Learning for Algorithmic Trading
The Heath-Jarrow-Morton Model (HJM Model) is used to model forward interest rates using a differential equation that allows for randomness. I explained the assumptions of HJM model, then demonstrated how to calibrate and use it for security pricing in Python. https://youtu.be/tB_O2UccDyQ
Listed Volatility and Variance Derivatives (Wiley Finance)
Baruch MFE 2019 Fall
This repo contains lecture notes and HW for Baruch MTH9875 Volatility Surface
Quant Research Papers
Quant Option Pricing - Exotic/Vanilla: Barrier, Asian, European, American, Parisian, Lookback, Cliquet, Variance Swap, Swing, Forward Starting, Step, Fader
Fixed Income Valuation Recipes in Python by Oluwaseyi Adebayo Awoga (Tony)
Options and Option Strategies analytics for educational purpose using the Black-Scholes Model
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
All Algorithms implemented in Python
Python GUI Programming with Tkinter 2E.Published by Packt
Quantitative Finance book
Delta-Gamma Hedging and Implied Volatility Surfaces
Config files for my GitHub profile.
A fixed income library for pricing bonds and bond futures, and derivatives such as IRS, cross-currency and FX swaps. Contains tools for full Curveset construction with market standard optimisers and automatic differention (AD) and risk sensitivity calculations including delta and cross-gamma.
Portfolio Optimization and Quantitative Strategic Asset Allocation in Python
InĀ mathematical finance, theĀ SABR modelĀ is aĀ stochastic volatilityĀ model, which attempts to capture theĀ volatility smileĀ in derivatives markets. I explained the formula of SABR model, then demonstrated how to calibrate SABR model in Python. You are welcome to provide your comments and subscribe to my YouTube channel. https://youtu.be/NWcRD2gOlhA
Surface SVI parameterisation and corresponding local volatility