The Tesla Stock Data Extraction and Analysis project involves gathering historical stock data and performing detailed analysis to identify trends, patterns, and predictions. It utilizes data visualization and statistical methods to derive insights for investment decisions.

A dynamic stock scanner using Python and yfinance to analyze stocks based on historical data, calculate returns, and schedule daily scans. Fully customizable for thresholds and timeframes.