2 datasets found
  1. TESLA STOCK PRICE HISTORY

    • kaggle.com
    Updated Jun 17, 2025
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    Adil Shamim (2025). TESLA STOCK PRICE HISTORY [Dataset]. https://www.kaggle.com/datasets/adilshamim8/tesla-stock-price-history
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 17, 2025
    Dataset provided by
    Kaggle
    Authors
    Adil Shamim
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    This dataset presents an extensive record of daily historical stock prices for Tesla, Inc. (TSLA), one of the world’s most innovative and closely watched electric vehicle and clean energy companies. The data was sourced from Yahoo Finance, a widely used and trusted provider of financial market data, and covers a significant period spanning from Tesla’s initial public offering (IPO) to the most recent date available at the time of extraction.

    The dataset includes critical trading metrics for each market day, such as the opening price, highest and lowest prices of the day, closing price, adjusted closing price (accounting for dividends and splits), and total trading volume. This rich dataset supports a variety of use cases, including financial market analysis, investment research, time series forecasting, development and backtesting of trading algorithms, and educational projects in data science and finance.

    Dataset Features

    • Date: The calendar date for each trading session (in YYYY-MM-DD format)
    • Open: The opening price of TSLA shares at the start of the trading day
    • High: The highest price reached during the trading session
    • Low: The lowest price reached during the trading session
    • Close: The last price at which the stock traded during the day
    • Adj Close: The closing price adjusted for corporate actions (splits, dividends, etc.)
    • Volume: The total number of TSLA shares traded on that day

    Source and Collection Details

    • Source: Yahoo Finance - Tesla (TSLA) Historical Data
    • Collection Method: Data was downloaded using Yahoo Finance's CSV export feature for accuracy and completeness.
    • Time Range: Covers from Tesla’s IPO (June 2010) to the most recent available trading day.
    • Data Integrity: Minimal cleaning was performed—dates were standardized, and any duplicate or empty rows were removed; all values remain as originally reported by Yahoo Finance.

    Example Use Cases

    • Stock Price Prediction: Train and test time series models (ARIMA, LSTM, Prophet, etc.) to forecast Tesla’s stock prices.
    • Algorithmic Trading: Backtest and evaluate trading strategies using historical price and volume data.
    • Market Trend Analysis: Analyze price trends, volatility, and return rates over different periods.
    • Event Study: Investigate the impact of major announcements (e.g., product launches, earnings releases) on TSLA stock price.
    • Educational Projects: Use as a hands-on resource for learning finance, statistics, or machine learning.

    License & Acknowledgments

    • Intended Use: This dataset is provided for academic, research, and personal projects. For commercial or investment use, please verify data accuracy and consult Yahoo Finance’s terms of use.
    • Acknowledgment: Data sourced from Yahoo Finance. All trademarks and copyrights belong to their respective owners.
  2. n

    ESG rating of general stock indices

    • narcis.nl
    • data.mendeley.com
    Updated Oct 22, 2021
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    Erhart, S (via Mendeley Data) (2021). ESG rating of general stock indices [Dataset]. http://doi.org/10.17632/58mwkj5pf8.1
    Explore at:
    Dataset updated
    Oct 22, 2021
    Dataset provided by
    Data Archiving and Networked Services (DANS)
    Authors
    Erhart, S (via Mendeley Data)
    Description
    ################################################################################################## THE FILES HAVE BEEN CREATED BY SZILÁRD ERHART FOR A RESEARCH: ERHART (2021): ESG RATINGS OF GENERAL # STOCK EXCHANGE INDICES, INTERNATIONAL REVIEW OF FINANCIAL ANALYSIS# USERS OF THE FILES AGREE TO QUOTE THE ABOVE PAPER# THE PYTHON SCRIPT (PYTHONESG_ERHART.TXT) HELPS USERS TO GET TICKERS BY STOCK EXCHANGES AND EXTRACT ESG SCORES FOR THE UNDERLYING STOCKS FROM YAHOO FINANCE.# THE R SCRIPT (ESG_UA.TXT) HELPS TO REPLICATE THE MONTE CARLO EXPERIMENT DETAILED IN THE STUDY.# THE EXPORT_ALL CSV CONTAINS THE DOWNLOADED ESG DATA (SCORES, CONTROVERSIES, ETC) ORGANIZED BY STOCKS AND EXCHANGES.############################################################################################################################################################################################################### DISCLAIMER # The author takes no responsibility for the timeliness, accuracy, completeness or quality of the information provided. # The author is in no event liable for damages of any kind incurred or suffered as a result of the use or non-use of the # information presented or the use of defective or incomplete information. # The contents are subject to confirmation and not binding. # The author expressly reserves the right to alter, amend, whole and in part, # without prior notice or to discontinue publication for a period of time or even completely. ###########################################################################################################################################READ ME############################################################# BEFORE USING THE MONTE CARLO SIMULATIONS SCRIPT: # (1) COPY THE goascores.csv and goalscores_alt.csv FILES ONTO YOUR ON COMPUTER DRIVE. THE TWO FILES ARE IDENTICAL.# (2) SET THE EXACT FILE LOCATION INFORMATION IN THE 'Read in data' SECTION OF THE MONTE CARLO SCRIPT AND FOR THE OUTPUT FILES AT THE END OF THE SCRIPT# (3) LOAD MISC TOOLS AND MATRIXSTATS IN YOUR R APPLICATION# (4) RUN THE CODE.####################################READ ME
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Share
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TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Adil Shamim (2025). TESLA STOCK PRICE HISTORY [Dataset]. https://www.kaggle.com/datasets/adilshamim8/tesla-stock-price-history
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TESLA STOCK PRICE HISTORY

Daily stock prices for Tesla (TSLA) including open, high, low, close, and volume

Explore at:
4 scholarly articles cite this dataset (View in Google Scholar)
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Jun 17, 2025
Dataset provided by
Kaggle
Authors
Adil Shamim
License

https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

Description

This dataset presents an extensive record of daily historical stock prices for Tesla, Inc. (TSLA), one of the world’s most innovative and closely watched electric vehicle and clean energy companies. The data was sourced from Yahoo Finance, a widely used and trusted provider of financial market data, and covers a significant period spanning from Tesla’s initial public offering (IPO) to the most recent date available at the time of extraction.

The dataset includes critical trading metrics for each market day, such as the opening price, highest and lowest prices of the day, closing price, adjusted closing price (accounting for dividends and splits), and total trading volume. This rich dataset supports a variety of use cases, including financial market analysis, investment research, time series forecasting, development and backtesting of trading algorithms, and educational projects in data science and finance.

Dataset Features

  • Date: The calendar date for each trading session (in YYYY-MM-DD format)
  • Open: The opening price of TSLA shares at the start of the trading day
  • High: The highest price reached during the trading session
  • Low: The lowest price reached during the trading session
  • Close: The last price at which the stock traded during the day
  • Adj Close: The closing price adjusted for corporate actions (splits, dividends, etc.)
  • Volume: The total number of TSLA shares traded on that day

Source and Collection Details

  • Source: Yahoo Finance - Tesla (TSLA) Historical Data
  • Collection Method: Data was downloaded using Yahoo Finance's CSV export feature for accuracy and completeness.
  • Time Range: Covers from Tesla’s IPO (June 2010) to the most recent available trading day.
  • Data Integrity: Minimal cleaning was performed—dates were standardized, and any duplicate or empty rows were removed; all values remain as originally reported by Yahoo Finance.

Example Use Cases

  • Stock Price Prediction: Train and test time series models (ARIMA, LSTM, Prophet, etc.) to forecast Tesla’s stock prices.
  • Algorithmic Trading: Backtest and evaluate trading strategies using historical price and volume data.
  • Market Trend Analysis: Analyze price trends, volatility, and return rates over different periods.
  • Event Study: Investigate the impact of major announcements (e.g., product launches, earnings releases) on TSLA stock price.
  • Educational Projects: Use as a hands-on resource for learning finance, statistics, or machine learning.

License & Acknowledgments

  • Intended Use: This dataset is provided for academic, research, and personal projects. For commercial or investment use, please verify data accuracy and consult Yahoo Finance’s terms of use.
  • Acknowledgment: Data sourced from Yahoo Finance. All trademarks and copyrights belong to their respective owners.
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