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A comprehensive analysis and forecasting project on historical gold prices from January 2014 to January 2024. Includes time series analysis, predictive modeling, trading strategy development, market sentiment analysis, and statistical analysis.

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Ahmad-Ali-Rafique/Gold-Price-Analysis-and-Forecasting

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Gold Price Analysis and Forecasting

Project Overview

Welcome to the Gold Price Analysis and Forecasting project! This repository contains a comprehensive analysis of historical gold prices, leveraging advanced data analysis techniques to uncover valuable insights and develop predictive models. The project spans data from January 19, 2014, to January 22, 2024, and includes:

  • Exploratory Data Analysis: Visualization of trends, seasonality, and outliers in gold prices.
  • Time Series Analysis: Utilizing STL decomposition to identify trends, seasonal patterns, and cyclicality.
  • Predictive Modeling: Developing and evaluating ARIMA models for forecasting future gold prices.
  • Trading Strategy Development: Formulating and backtesting trading strategies, such as the Moving Average Crossover Strategy.
  • Market Sentiment Analysis: Investigating the impact of major events (e.g., US Fed Interest Rate Decisions, Brexit) on gold prices.
  • Statistical Analysis: Exploring correlations between gold prices and external factors, and conducting comprehensive statistical tests.

About Me

Hello! I'm Ahmad Ali, a passionate data scientist with a keen interest in financial markets and predictive analytics. I specialize in leveraging data to uncover actionable insights and develop robust predictive models. This project is a testament to my expertise in time series analysis, machine learning, and financial data analysis.

Connect with me on LinkedIn Thank you for visiting my repository. Feel free to explore the project and reach out if you have any questions or feedback!

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A comprehensive analysis and forecasting project on historical gold prices from January 2014 to January 2024. Includes time series analysis, predictive modeling, trading strategy development, market sentiment analysis, and statistical analysis.

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