This repository contains a series of visualizations and analyses of gold stock data, offering insights into the trading volume, price distribution, relationships between different trading metrics, volatility, and more.
The dataset includes daily trading information such as open, close, high, low prices, and volume of gold stock. The analysis aims to uncover trends, patterns, and characteristics of the gold market over the observed period.
This line plot illustrates how the trading volume of gold has varied over time, providing insights into market activity levels on different dates.
A box plot representation of gold's closing prices helps in understanding the central tendency, dispersion, and outliers within the closing prices.
A heatmap showing the correlation between various metrics (close, volume, open, high, and low prices) aids in identifying relationships and dependencies between these trading metrics.
A line chart showing the 7-day rolling standard deviation of daily returns, representing the volatility in gold prices. This plot helps in understanding the stability and risk associated with gold over the observed period.
Pythonfor data processing and analysis.Pandasfor data manipulation.MatplotlibandSeabornfor creating the visualizations.
The analyses and visualizations presented in this repository aim to provide investors, analysts, and enthusiasts with deeper insights into the gold market's behavior. Understanding these aspects can aid in making informed decisions related to gold trading and investment.
Contributions to enhance the analysis or visualizations are welcome. Please feel free to fork the repository, make changes, and submit a pull request.
This project is open-sourced under the MIT License. See the LICENSE file for more information.