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Tesla Stock Volatility Data

Stock & Market Data

Tags and Keywords

Tesla

Stock

Tsla

Finance

Investing

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Tesla Stock Volatility Data Dataset on Opendatabay data marketplace

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Free

About

This dataset offers an in-depth look at historical stock price data for Tesla Inc. (TSLA), detailing its performance over nearly three decades. It captures the evolution of Tesla's stock price and trading volume, from its IPO in 2010 to its substantial rise in recent years. The data reflects various key financial indicators, metrics, and significant volatility, making it a valuable resource for understanding the company's journey from an electric vehicle startup to one of the most valuable companies globally. Key features include insights into the pre-IPO trading environment, post-IPO growth, the impact of stock splits through adjusted close values, and the remarkable surge experienced between 2020 and 2024. Users can also analyse the influence of external factors, such as changes in the global economy and the electric vehicle industry, on Tesla’s stock price.

Columns

  • Date: The specific date for which the stock data is recorded.
  • Open: The opening price of Tesla's stock on a given date.
  • High: The highest price reached by Tesla's stock during the trading day.
  • Low: The lowest price reached by Tesla's stock during the trading day.
  • Close: The final closing price of Tesla's stock on that date.
  • Adj Close: The adjusted closing price, which has been modified to account for corporate actions such as stock splits and dividends, offering a consistent view of historical returns over time.
  • Volume: The total number of shares of Tesla's stock traded on the specified date.

Distribution

This dataset is provided in CSV format and comprises 8 columns and 3637 records. All data points are validated, with no missing values reported. The file size is approximately 296.97 kB.

Usage

This dataset is ideal for various applications, including:
  • Stock Price Prediction Models: Data scientists and machine learning practitioners can use this dataset to build models that predict Tesla's stock price based on historical data.
  • Technical Analysis: The dataset provides sufficient detail to perform various technical analyses, such as calculating moving averages, assessing volatility, and identifying trend recognition patterns.
  • Comparative Analysis: Analysts can compare Tesla's performance with other electric vehicle manufacturers or traditional automakers to gauge the company's market position.
  • Financial Insights and Investment Research: Investors can analyse key financial indicators, trading volume, and stock price movement to make informed decisions or study Tesla's financial growth.

Coverage

The dataset specifically covers Tesla Inc. stock performance from 29 June 2010 to 9 December 2024. While it offers insights into broader market trends, the recorded daily stock data points begin with Tesla's public listing. The geographic scope is global, reflecting Tesla's international presence as an electric vehicle manufacturer, with no specific demographic focus as it pertains to stock market data.

License

CC0: Public Domain

Who Can Use It

  • Investors: To inform investment decisions and study long-term financial growth.
  • Analysts: For market position evaluation and industry comparisons.
  • Data Scientists and Machine Learning Practitioners: For developing predictive stock models.
  • Financial Enthusiasts: To track and understand the evolution of Tesla's stock.

Dataset Name Suggestions

  • Tesla Historical Stock Prices 2010-2024
  • TSLA Daily Stock Performance
  • Tesla Inc. Market Data
  • Electric Vehicle Stock Trends: Tesla
  • Tesla Stock Volatility Data

Attributes

Original Data Source: Tesla Stock Volatility Data

Listing Stats

VIEWS

1

DOWNLOADS

1

LISTED

30/08/2025

REGION

GLOBAL

Universal Data Quality Score Logo UDQSQUALITY

5 / 5

VERSION

1.0

Free

Download Dataset in CSV Format