Economic Impact of Federal Reserve Speeches and Press Releases

Time series analysis on NIFTY-50 index stock data. The project visualises trends in stock data and explores various time-series analysis models such as ARIMA, ARMA and deep learning models such as LTSM and RNN to predict stock prices with the highest accuracy.

Time Series Analysis of Macro Economic Parameters using Vector Auto Regression Model

An example of mlflow within an arima model

Unit root tests, ARIMAX, GARCH models for the time being

ML for Quantitative trading

[R Programming] R package for state space models

Forecasting passenger demand for railway tickets using open data

No description provided.

Forecast NYC taxi activity with deep learning. We compare the performances of models based on MLPs, RNNs, LSTMs, GNNs, and ARIMAX. Additionally, our code provides users with an easy-to-use pipeline for producing custom time series datasets of taxi activity from publicly available NYC TLC data.

Comparative Analysis of Statistical and Machine Learning Models for Enhanced Cryptocurrency Price Prediction with Technical Indicator Integration

A group project for Florida Tech's MTH5324 (Statistical Modelling) project that analyzes the impact of the Russo-Ukraine war on the economy of several significant geopolitical entities.

Streaming data management and time series analysis using R

A repository for forecasting continuous scale features using ARIMAX models, including model training and evaluation scripts.

Here we have considered a data set where we are seeing the number of air Passengers per month. We have applied time series analysis technique to predict the future passenger details. We used both ARIMAX and SARIMAX technique to predict.

A multivariate time series forecasting of pollution data using ARIMA, LM & ARIMAX in R

Time series models of stock price

This repository represents several projects completed in IE HST's MS in Business Analytics and Big Data's Forecasting Time Series courses

Objective, to perform time series analysis and forecasting on container shipping prices for three major maritime routes: North America East Coast to China/East Asia, Europe to North America East Coast, and Europe to South America West Coast. The data used for this analysis was collected from The Baltic Exchange, a source of maritime market data.

💸계절성 있는 시계열 데이터 기반 기업 미래 매출 예측하기

This project utilizes time series forecasting models, such as VAR and ARIMAX, to predict the bike share demand in Seoul. In turn, ensuring availability and minimizing waiting times for customers.

A machine learning-based cryptocurrency forecasting application using ARIMAX and XGBoost models.

📈 Stock Price Prediction Web App This is a Streamlit-based web application for Stock Price Prediction and Visualization. The app allows users to: 📅 Select a date range for analysis 🏢 Choose a stock/company from the sidebar 📊 Visualize historical stock prices with interactive plots 🔮 Forecast future stock prices using the ARIMA/ARIMAX model

Example of ARIMA Modelling in R

This repository contains a project on Electricity consumption forecasting using ARIMA and ARIMAX models. It Includes data preprocessing, model training, and evaluation with a focus on temperature as an exogenous variable.

No description provided.

Time-series forecasting of HSN Code 8482 trade flows (2014–2026) using ARIMA and ARIMAX models with performance evaluation and visualization.

Electricity consumption forecasting using multiple Time Series models: Linear Regression, Facebook Prophet, ARIMAX and Exponential Smoothing

Forecasted SP-36 fertilizer allocation for 2026–2027 using ARIMAX and SARIMAX. ARIMAX captured annual trends, while SARIMAX modeled monthly seasonality. The results support strategic planning for post-subsidy distribution at both macro and micro levels.

No description provided.