The Dataset That Tells a Story
Tesla's stock history from 2010 to 2025 is one of the most dramatic runs in modern market history. The Kaggle dataset covering this period isn't just a collection of OHLC (Open, High, Low, Close) values—it's a record of a company that went from near-bankruptcy to the most valuable automaker on the planet, then back to earth, then up again.
I pulled the dataset expecting clean, boring numbers. What I got was a masterclass in volatility.
The data structure is straightforward: daily records with Date, Open, High, Low, Close, Adj Close, and Volume. Standard stuff for stock price analysis in Python, though this dataset predates some of the more convenient APIs. The interesting part isn't the schema—it's what happens when you plot it.
Early Years: The Quiet Period (2010-2013)
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