Find stock price Prediction in real time
A rudimentary script for tracking and selecting stocks to invest in
Analysis of dependencies between historical share prices of NVIDIA, AMD and INTEL; made in R Studio.
I investigate the Asymmetric Volatility Spillover Effects within and across six major International stock markets. United States, Canada, France, Germany, Italy & Japan
This project aims to develop a robust data extraction and storage system for historical options data related to 33 Exchange Traded Funds (ETFs). The data will be sourced from the Chicago Board Options Exchange (CBOE) website, processed using the R programming language, and stored in a Google Cloud SQL database for efficient analysis and retrieval.
Obtain historical and near real time data from Yahoo Finance
The reporting of stock market data by using the Shiny package
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
R shiny app that takes ticker symbols as inputs and returns the portfolio cumulative log return, cumulative return square and volatility regime changes.
Statistical profiling (ANOVA, linear-regression, variogram, etc) for geostatistics, stock market, etc
A basic stock trading app written in R with the `quantmod` and `shiny` packages.
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.
A Quantitative Finance Engineering Project
📈This final project was part of the Applied Time Series And Analysis course held in THU (2022)
Final project for CS512 Machine Learning in Medicine and Health. Implementation of ARIMA, RKNN and FFNN models for stock price forecasting
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