<ul><li>XAUUSD represents the cost in US dollars to purchase one ounce of gold in Forex trading.</li><li>Gold can be bought physically at banks or from dealers and is often used by governments to safeguard currency value.</li><li>XAUUSD is not tied to any specific nation, economy, or business, making it globally significant.</li><li>The project involves building a Gold (XAUUSD) trend tracker using Python and SQLite for data storage.</li><li>The extraction, transformation, and loading (ETL) process is crucial for analyzing and visualizing data.</li><li>TwelveData forex API is used to extract raw XAUUSD data in JSON format.</li><li>Pandas library is utilized for data transformation, including calculating moving averages and labeling market conditions.</li><li>SQLite is employed for loading the transformed data into a database for further analysis or presentation.</li><li>The ETL pipeline involves retrieving data, transforming it, and storing it in a SQLite database for easy access.</li><li>The project showcases how to handle financial data from APIs, manipulate it, and store it efficiently for analysis.</li></ul>

Building a Gold (XAUUSD) Trend Tracker with Python and SQLite

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