A web-based application for analyzing historical weather data and forecasting future trends using advanced statistical models. Built with Python and Flask, the app provides interactive visualizations, ...

Star 0 Code Issues Pull requests Data Science project for forecasting steel and crude oil prices data-science forecasting volatility garch arima-model garch-model log-return Updated on Apr 9, 2024 ...

Abstract This paper presents a comparative study of ARIMA and Neural Network AutoRegressive (NNAR) models for time series forecasting. The study focuses on simulated data generated using ARIMA (1, 1, ...

This paper uses the ARIMA model and BP neural network to model and predict the closing prices of the two stocks of JD and PDD from July 26, 2018 to January 29, 2021 (1266 data in total). First, use ...

Autoregressive Integrated Moving Average (ARIMA) is a statistical model used for analyzing and forecasting time series data. It combines autoregression, differencing, and moving average components ...