R Shiny app to compare the relative performance of cryptos and equities.

Identification of trends in the stock prices of a company by performing fundamental analysis of the company. News articles were provided as training data-sets to the model which classified the articles as positive or neutral. Sentiment score was computed by calculating the difference between positive and negative words present in the news articl…

Data Analysis Studies on Value Investing

Demo project of creating an interactive analytical tool for stock market using CAPM.

An R Package for Monte Carlo Option Pricing Algorithm for Jump Diffusion Models with Correlational Companies

Stock prediction using xgboost and knn classification done in R

Cryptocurrency market cap-price prediction and visualization web app

Stock Market Analysis

TVP panel data model featuring time-varying network dependence introduced in "Bayesian state-space modeling for analyzing heterogeneous network effects of US monetary policy"

Casabourse is an R package that provides real-time data from the Casablanca stock exchange. The objective is to facilitate access to data for all users of the R programming language. This package includes a variety of data accessible just by function call.

Basic Technical Trading Analysis with R

An R Package for the Financial Modeling Prep Financial Data API

Package for loading data from Alpha Vantage into R objects.

Analyze NASDAQ100 stock data. Used ARIMA + GARCH model and machine learning techniques Naive Bayes and Decision tree to determine if we go long or short for a given stock on a particular day

UNMAINTAINED | R-package providing access to fundamental data and valuation metrics for thousands of publicly traded companies worldwide.

A Quantitative Finance Engineering Project

This R package provides functions to crawl the stock market at the platform http://www.ariva.de

Can a Long Short-Term Memory Model Produce Accurate Stock Price Predictions?: A Deep Learning Approach to Predicting Apple Inc. Stock Price.

This project used R and R Studio to create machine learning algorithms to predict whether a stock would go up or not.

A basic stock trading app written in R with the `quantmod` and `shiny` packages.