There are 1 repository under quantmod topic.
Bringing financial analysis to the tidyverse
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.
Stock prediction using xgboost and knn classification done in R
Tutor step-by-step on how to analyze stock data using the R language.
Financial modelling, derivatives, investments
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
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.
Backtesting my current US stocks portfolio
A basic stock price visualisation app written in R with the `quantmod` and `shiny` packages.
R and Python scripts to get and format quotes for closed-end funds and exchange-traded funds
Building a stock price change predictor using shiny in R
Stock price prediction using historical data from Yahoo Finance, implemented in R with an interactive RShiny dashboard.
A user friendly app that allows users to download financial stock data from Yahoo Finance.
An R-Shiny dashboard/web application to track and monitor your portfolio through various graphs and statistical measures.
A dashboard to monitor the performance and risk of a stock portfolio. Built in R using Shiny.
Various scripts to keep track of my progression through R.
Handbook of Quantmod for Financial Analysis
Predicted US stocks (Apple, Amazon, Google, Microsoft, Nvidia) using Linear Regression on live Yahoo Finance data. Deployed using R Shiny
Data Science in R (multiple algo`s)