Bringing financial analysis to the tidyverse

Quantitative Financial Modelling Framework

Powerful financial charting library based on R's Quantmod | http://py-quantmod.readthedocs.io/en/latest/

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

Quantmodels is a Python package that provides implementations of various financial models commonly used in finance and investment analysis.

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Stock prediction using xgboost and knn classification done in R

See how easy it is to download, visualize, manipulate stock market data with the <b>Quantmod</b> library and use all of it to build a complex trading model.

Tutor step-by-step on how to analyze stock data using the R language.

:exclamation: This is a read-only mirror of the CRAN R package repository. quantmod — Quantitative Financial Modelling Framework. Homepage: https://www.quantmod.com/, https://github.com/joshuaulrich/quantmod Report bugs for this package: https://github.com/joshuaulrich/quantmod/issues

Financial modelling, derivatives, investments

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mirror of qmao on R-Forge; quantmod add-on: some quantmod-like functions

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Applied back propagation Neural Network models to predict the daily S&P500 Exchange Composite Index. Constructed learning algorithm and gradient search technique in the models. Evaluated the prediction models. Used past data form stock exchange to predict stocks and the potential increase or decrease of a company’s stock prices. Technology used: Language: R Software: R Studio, Shiny R Packages used: tseries, quantmod, neuralnet.

This index was calculated by following the general method of the European Central Bank's Composite index of systemic stress index available on European Central bank's statistical warehouse as CISS. Data import process is automatized by "Quantmod" and "Qunadl" where there are three main data sources (Fred, Yahoo, Quandl). Since these data sources are free, this function can be used with different source of financial stress that users think more efficient in order to capture financial stress. The main difference from the ECB's calculation, this index includes commodity market as a source of financial stress.

Mirror of the quantmod R package repository

This is an Analysis on Goldman Sachs Group Inc Stock Market Time Series featuring Prices starting from 2016 to present date, Written in R Language

Stock Analysis in R Using Quantmod and Statistical Learning

Fetch public intraday data from Bovespa Stocks and converts into OHLC xts time series to use with quantmod in R

An all-in-one dashboard to track and monitor your personal finances. Built in R-Shiny.

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

Backtesting my current US stocks portfolio

quantmod中文站

Stock Market App using Shiny

Aplicativo para visualizar acoes com os pacotes highcharter e quantmod

finance analysis pratice

Boilerplate for creating finance applications with Shiny and Quantmod.

R quantmod and python script plot data exported from mt4 stored in mysql

R and Python scripts to get and format quotes for closed-end funds and exchange-traded funds