Stock price data is diverse and situational, and it is unlikely that any single model will be uniformly best across all industries or contexts. Based on our results, ARIMA GARCH methods are better for Consumer Discretionary and Financial industries, and LSTM models are better for Healthcare and Industrials. Specifically, we found Cumulative Year…
The aim of project was to make an app using shiny and R programming to predict the stock prices of various companies for the next 5 days using neural networks and arima model.
Philippine Stock Price Puller via Pselookup API
A small utility built with R to graph the historical returns of a portfolio of stocks, ETFs or other securities
Time series modelling using Structural Vector Auto-Regression
Functions to track the performance of your investments. It works with the R Shiny App Portfolio Tracker.
Fetch public intraday data from Bovespa Stocks and converts into OHLC xts time series to use with quantmod in R
Basic Technical Trading Analysis with R
R package to download historical bhavcopy of Equities and F&O, get live market data, plot treemap of movement in securities
Bringing financial analysis to the tidyverse
Add a description, image, and links to the stock-prices topic page so that developers can more easily learn about it.
To associate your repository with the stock-prices topic, visit your repo's landing page and select "manage topics."