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TSLA Historical Market Data

Stock & Market Data

Tags and Keywords

Tesla

Stock

Price

Prediction

Investing

Trusted By
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TSLA Historical Market Data Dataset on Opendatabay data marketplace

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Free

About

Stock details for TESLA Company are captured in this data product, featuring opening price, closing price, low price, and other key metrics. This information covers a one-year period, providing a valuable resource for those looking to predict future stock prices and analyse market trends. The data focuses on daily movements, offering insights into TESLA's market performance.

Columns

  • Date: The specific date of the trading record. This column covers a period from 29 September 2021 to 29 September 2022, containing 253 valid entries. The dates span from a minimum of 29 September 2021 to a maximum of 29 September 2022.
  • Open: The opening price of TESLA stock on the given date. Values range from 208 to 411, with an approximate mean of 300. There are 253 valid entries.
  • High: The highest price TESLA stock reached during the trading day. Values are between 218 and 414, with an approximate mean of 307. This column also has 253 valid entries.
  • Low: The lowest price TESLA stock reached during the trading day. Values fall within the range of 207 to 406, with an approximate mean of 292. There are 253 valid entries for this column.
  • Close: The closing price of TESLA stock for the day. Prices range from 209 to 410, with an approximate mean of 300. All 253 entries are valid.
  • Adj Close: The adjusted closing price, accounting for factors like dividends and stock splits. Values are similar to the closing price, ranging from 209 to 410, with an approximate mean of 300. This column has 253 valid entries.
  • Volume: The total number of TESLA shares traded on the given date. Volumes vary from 35.0 million to 189 million, with an approximate mean of 80.5 million. There are 253 valid entries, and no mismatched or missing values across all columns.

Distribution

The data is provided in a CSV file, named 'TESLA.csv', with a file size of 19.06 kB. It is structured with 7 columns and 253 records. The entries are daily, with no missing records or mismatches, covering the specified date range.

Usage

This data can be used to predict TESLA's stock prices for future periods. It is well-suited for developing machine learning models for time series forecasting, conducting historical market analysis, identifying investment opportunities, and backtesting trading strategies. It serves as an excellent resource for educational purposes in financial analytics.

Coverage

The data provides daily stock details for TESLA Company from 29 September 2021 to 29 September 2022. It focuses exclusively on financial market data for this specific entity and time frame.

License

CC0: Public Domain

Who Can Use It

Financial analysts seeking to understand market behaviour, data scientists building predictive models, machine learning engineers developing forecasting tools, quantitative traders for strategy validation, academic researchers studying market dynamics, and students learning financial modelling.

Dataset Name Suggestions

  • Tesla Daily Stock Prices 2021-2022
  • TSLA Historical Market Data
  • Tesla Stock Prediction Metrics
  • Daily TESLA Share Performance
  • TESLA Financial Market Snapshot

Attributes

Original Data Source: TSLA Historical Market Data

Listing Stats

VIEWS

0

DOWNLOADS

0

LISTED

08/09/2025

REGION

GLOBAL

Universal Data Quality Score Logo UDQSQUALITY

5 / 5

VERSION

1.0

Free

Download Dataset in CSV Format