Stock Forecasting System Using SARIMA & Prophet

Time series forecasting project focused on predicting stock price movement using SARIMA and Prophet models combined with interactive visualization dashboards.

Time Series Forecasting Project

Stock Forecasting System Using SARIMA & Prophet

Developed a stock forecasting system using SARIMA and Facebook Prophet models to predict stock price trends and generate forecasting insights through interactive dashboards and time series analysis.

Python Pandas SARIMA Prophet Time Series Plotly Streamlit

Key Features

  • Time Series Forecasting
  • SARIMA Modeling
  • Facebook Prophet Forecasting
  • Trend Analysis
  • Interactive Dashboard Visualization
  • Trading Signal Prediction

Project Overview

This project focuses on forecasting stock price movement using statistical and machine learning time series approaches to support financial trend analysis and investment decision-making.

SARIMA and Prophet models were implemented to capture historical stock patterns, seasonality, and future forecasting trends, while interactive dashboards were developed for visualization and monitoring purposes.