This project leverages machine learning techniques in R to analyze and predict stock market trends.
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Updated
May 9, 2024 - R
This project leverages machine learning techniques in R to analyze and predict stock market trends.
Microsoft's closing stock price prediction by ARIMA, Decision Tree and GARCH models in R Studio
The objective is to forecast Procter & Gamble's stock performance using time series analysis to provide valuable insights for investors and stakeholders.
This is a web application for Netflix stock price prediction developed using R and Shiny (R library for building beautiful dashboards).
Stock/Financial Time Series Analysis, Prediction and Forecasting using advanced Statistical methods and GARCH volatility-based models in R.
Time Series Analysis: Stock Forecasting PT. Telkom Indonesia (Persero) Tbk [TLKM] On October, 2004 – June 16, 2023 using ARIMA(p,d,q)
Forecasting stock price volaitlity using GARCH models
UECM3243 Analysis on Tesla stock using GARCH model
Clustering analysis using R
Classification using R
Forecasting time series data using ARIMA models. Used covariance matrix to find dependencies between stocks.
SPY Price Change Prediction App: R Shiny SPY Price Change Analysis Tool
This is a Masters project completed by My Team and I using the statistical methodology Markov Chain and Geometric Brownian Motion for trend and closing price prediction
Comparison of Stochastic Forecasting Methods
Can a Long Short-Term Memory Model Produce Accurate Stock Price Predictions?: A Deep Learning Approach to Predicting Apple Inc. Stock Price.
Algorithmic Strategy Backtesting
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