Analyzing and Prediction of a Gold Price with ML Algorithms

Abstract

Gold is a substance, shift element with an intense and metallic yellow appearance. By the above qualities of gold makes highly valued and versatile element. It has prominently played an important role in our economic area. It is one of the investment assets for the people. This paper analyses This document analyses gold price data from 2013 to 2023, showing daily prices, highs, lows, trading volumes, and daily changes. This rich data set is useful for anyone wanting to study or visualize gold market trends over the past decade. We started by cleaning the data, fixing missing values, and handling outliers. Then, we used various graphs and charts like trend lines, distribution plots, and pair plots to explore and understand the data. Next, we built prediction models using different techniques like Linear Regression, Support Vector Regression (SVR), Decision Tree, Random Forest, and Gradient Boosting. These models help us forecast future gold prices based on past data. The analysis reveals important trends and patterns in gold prices, providing insights that can help in financial analysis and market prediction.