A simple yet powerful way to visualize 4xdat trades.
-
Updated
Jun 18, 2018 - MQL4
A simple yet powerful way to visualize 4xdat trades.
My first experiments in quantitative finance
Predicting the stock price using LSTM model.
Copilation of Python Programming Codes
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.
Quantitative Finance With Python Materials From Basic
implementing CAMP, 3-4-5 factor models based on fama french
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
Add a description, image, and links to the quantitative-finance topic page so that developers can more easily learn about it.
To associate your repository with the quantitative-finance topic, visit your repo's landing page and select "manage topics."