Investopedia

Box-Jenkins Model Explained: Uses, Methodology, and Forecasting

Gordon Scott has been an active investor and technical analyst or 20+ years. He is a Chartered Market Technician (CMT). Gordon Scott has been an active investor and technical analyst or 20+ years. He ...
IEEE

Intelligent Stock Market Forecasting: A Multifactor Decision-Making Approach Combining ARIMA-LSTM Models with Sentiment Analysis

Abstract: This study proposes an intelligent stock price prediction framework based on the integration of ARIMA-LSTM and multi-source sentiment analysis. First, the ARIMA model is used to perform ...
IEEE

Market Forecasting Using LSTM-ARIMA Model with MACD Decomposition

Abstract: Market forecasting plays a critical role in economic signal processing. In this study, a model that applies the moving average convergence divergence (MACD) indicator together with ...
GitHub

mohansree14/Bayesian-Deep-Learning-for-Probabilistic-Financial-Forecasting

This project implements state-of-the-art deep learning models for financial time series forecasting with a focus on uncertainty quantification. The system provides not just point predictions, but ...
GitHub

Gardash023/x13-seasonal-adjustment

A comprehensive and professional Python implementation of the X13-ARIMA-SEATS seasonal adjustment algorithm. This library provides robust, production-ready tools for detecting and removing seasonal ...