Eigen-Portfolio

Unsupervised machine learning Principal Component Analysis (PCA) on the Dow Jones Industrial Average index and it's respective 30 stocks to construct an optimized diversified intelligent portfolio.

Stochastic-Modeling

Utilizing three different stochastic processes to forecast equity prices.

Subjectivity-Detector

Natural Language Processing project written in Python 3.6.5 to determine whether a body of text is written objectively or subjectively.

Quantitative-Risk-Analysis

Computing advanced statistical methods to understand, analyze, and compare inherent risk of two stocks with Bollinger bands, Conditional Value at Risk, Kurtosis analysis, Shapiro-Wilk normality test, and back-test maximum drawdown.

IEX-data

A collection of functions in Python to obtain and visualize historical, fundamental, and alternative data for more than 9,000 assets and 5,000 publicly traded common stocks.