Quizzes and Projects for Udacity's Artificial Intelligence for Trading nanodegree program.
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Updated
Nov 12, 2019 - Jupyter Notebook
Quizzes and Projects for Udacity's Artificial Intelligence for Trading nanodegree program.
Welcome to Warwick Business School's Financial Technology, Machine Learning Driven Quantitative Investment.
Short volume statistics plugin, scraped from Quandl, for tradingview. Volumes are recorded for securities listed on NYSE and NASDAQ exchanges.
Determine which portfolio is performing the best across multiple areas: volatility, returns, risk, and Sharpe ratios. A tool that analyzes and visualizes the major metrics of the portfolios across all of these areas, and determine which portfolio outperformed the others.
An analytical comparison of a hedge fund portfolio, an algorithmically traded portfolio, and the S&P 500 Index.
Using Supervised and Unsupervised Learning to predict stocks
Proxies web requests to FRED without CORS such that it may be used in a web app
A pairs trading strategy
📈 Measuring the Liveliness of Bitcoin
Black Scholes for European options Call/Put with Greeks for Italian luxury house, Salvatore Ferragamo
This Orderbook Simulation is a C++ application that simulates an order book for financial markets, featuring VWAP calculation, a custom neural network for price prediction, and Python GUIs for order management and visualization.
A simple yet powerful way to visualize 4xdat trades.
My first experiments in quantitative finance
Predicting the stock price using LSTM model.
Algoritmos en R para las volatilidades propuestas en el Capitulo 9 del libro Paul Wilmott Introduces Quantitative Finance.
Algunos de los temas que me interesan / Subjects I'm interested
TeX and other sources from my PhD thesis
My portfolio website
A series of methods contained in classes to implement volatility based approaches to underlying data. For example, volatility timing strategies.
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