Tesla stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

Dataset - 2010-2025

• Date: The date of the record (YYYY-MM-DD)
• Open: Opening price of the stock.
• High: Highest price of the stock for the day.
• Low: Lowest price of the stock for the day.
• Close: Closing price of the stock.
• Adj Close: Adjusted closing price.
• Volume: Number of shares traded.

The price of Tesla shares traded on the Nasdaq stock exchange remained rather stable between July 2010 and January 2020. With the beginning of 2020, the price of Tesla shares increased dramatically and stood at 381.59 U.S. dollars per share in November 2021. Since then, the price of Tesla shares has fluctuated significantly and reached its peak at 444.72 U.S. dollars per share in September 2025. Why did Tesla's stock value go up in 2020? Despite the effects of the pandemic, Tesla share prices experienced a massive increase in 2020. Tesla kept increasing its output levels throughout the year, except for the second quarter, and released its new vehicle, the Tesla Model Y. Additionally, when the company was added to the S&P 500 index in December 2020, it instilled further trust in investors. In 2020, Tesla was the top-performing stock on the S&P 500 index, and two years later, in 2024, it ranked among the ten largest companies on the index by market capitalization. Steady growth in the last decade Founded in 2003, Tesla primarily focuses on designing and producing electric vehicles, as well as energy generation and storage systems. Since then, Tesla's revenue has steadily increased, reaching nearly 98 billion U.S. dollars in 2024. Most of the revenue came from automotive sales in 2024. Tesla's first electric car, the Roadster, was sold between 2008 and 2012. Currently, the company offers four primary electric vehicles: Model 3, Model Y, Model S, and Model X.

Dataset Overview

This dataset contains historical stock price data for Tesla, Inc. (TSLA) spanning from June 2010 to the present. The data includes daily records of Tesla's stock prices, covering various financial metrics for each trading day.

File Information

• File Name: TSLA.csv
• Number of Entries: 3499
• Number of Columns: 7
• File Size: 191.5 KB

Columns

1. Date (object): The date of the trading day in YYYY-MM-DD format.
2. Open (float64): The opening price of the stock on the given day.
3. High (float64): The highest price of the stock during the trading day.
4. Low (float64): The lowest price of the stock during the trading day.
5. Close (float64): The closing price of the stock on the given day.
6. Adj Close (float64): The adjusted closing price, accounting for corporate actions like stock splits and dividends.
7. Volume (int64): The total number of shares traded during the day.

Sample Data

Here are the first few rows of the dataset to give you a glimpse of the data structure:

Example Chart

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12685278%2F9479dbe596f198163a6641a5606bea6b%2FTS.png?generation=1716412477393105&alt=media" alt="">

(If you want to get the code for the chart, please access the [Tesla Stock Historical Data - Chart Examples] https://www.kaggle.com/code/girumwondemagegn/tesla-stock-historical-data-updated-may-2024) in my notebooks.)

Acknowledgements

The data has been sourced from publicly available financial records and is intended for educational and research purposes.

This Dataset contains the Stock prices of TESLA Company the opening price, closing price, low price etc.. Stock Details of the Year 29/09/2021 to 29/09/2022.

Use these Data and Predict the Stock Prices for upcoming years.

Tesla reported $12.28B in Stock for its fiscal quarter ending in September of 2025. Data for Tesla | TSLA - Stock including historical, tables and charts were last updated by Trading Economics this last December in 2025.

This dataset contains historical stock price data for Tesla, Inc. (TSLA) starting from its IPO date, June 29, 2010, to January 1, 2025. The dataset includes daily records of Tesla's stock performance on the NASDAQ stock exchange. It is ideal for time-series analysis, stock price prediction, and understanding the long-term performance of Tesla in the stock market.

The dataset consists of the following columns:

1. Date: The trading date.
2. Open: Opening stock price on the given date.
3. High: The highest stock price during the trading day.
4. Low: The lowest stock price during the trading day.
5. Close: The closing stock price for the day.
6. Adj Close: Adjusted closing price (corrected for dividends and stock splits).
7. Volume: The number of shares traded during the day.

Use Cases of Tesla Stock Historical Data

1. Time-Series Analysis

   • Analyze trends in Tesla's stock prices over time.
   • Identify seasonality, volatility, and long-term patterns in Tesla’s performance.

2. Stock Price Prediction

   • Develop predictive models to forecast future stock prices using techniques such as ARIMA, LSTMs, or regression.

3. Investment Strategy Evaluation

   • Backtest trading strategies by simulating trades based on historical price movements.
   • Analyze returns of investment strategies such as moving averages, RSI, or Bollinger Bands.

4. Market Sentiment Analysis

   • Correlate Tesla’s stock performance with news sentiment, earnings reports, and market events.

5. Portfolio Diversification

   • Evaluate Tesla’s performance compared to other stocks or indices to assess its role in a diversified portfolio.

6. Risk Management

   • Calculate volatility, beta, and other risk metrics to assess the risk associated with investing in Tesla stock.

7. Economic and Market Studies

   • Study how macroeconomic indicators (like inflation, interest rates) influence Tesla’s stock price.
   • Analyze Tesla’s performance during major economic events such as the COVID-19 pandemic or policy changes.

8. Stock Splits and Adjustments Analysis

   • Examine the impact of Tesla’s stock splits on price and trading volume.

9. Educational Purposes

   • Serve as a dataset for academic projects, coursework, or tutorials on financial data analysis.

10. Correlation with Sector Trends

    • Compare Tesla’s stock performance with other automotive or renewable energy companies.

11. Data Visualization and Dashboarding

    • Create dashboards using tools like Tableau, Power BI, or Python libraries to visualize Tesla’s stock performance metrics.

12. A/B Testing for Financial Applications

    • Use historical stock data for controlled experiments in finance-related applications to improve decision-making tools.

The “Tesla Stock Price Data (Last One Year)” dataset is a comprehensive collection of historical stock market information, focusing on Tesla Inc. (TSLA) for the past year. This dataset serves as a valuable resource for financial analysts, investors, researchers, and data enthusiasts who are interested in studying the trends, patterns, and performance of Tesla’s stock in the financial markets.It consists of 9 columns referring to date, high and low prices, open and closing value, volume, cumulative open and of course changing of price.At a first glance in order to better understand the data we should plot the time series of each attribute.The cumulative Open Interest(OI) is the total open contracts that are being held in a particular Future or Call or Put contracts on the Exchange. We can see that the biggest drop of the stock happened in January of 2023 and after 5 to 6 months it regained its stock value round the summer of the same year with opening and closing price around 300.As a next step we are going to plot some more plots in order ro better understand the relation between our target column(change price) with every other attribute. In order to interpret the results:

Linear Regression:

Mean Absolute Error (MAE): 6.28 This model, on average, predicts the “Price Change” within approximately 6.28 units of the true value. Mean Squared Error (MSE): 52.97 MSE measures the average of squared differences, and this value suggests some variability in prediction errors. Root Mean Squared Error (RMSE): 7.28 RMSE is the square root of MSE and is in the same units as the target variable. An RMSE of 7.28 indicates the typical prediction error. R-squared (R2): 0.0868 R-squared represents the proportion of the variance in the target variable explained by the model. An R2 of 0.0868 suggests that the model explains only a small portion of the variance, indicating limited predictive power. Decision Tree Regression:

Mean Absolute Error (MAE): 9.21 This model, on average, predicts the “Price Change” within approximately 9.21 units of the true value, which is higher than the Linear Regression model. Mean Squared Error (MSE): 150.69 The MSE is relatively high, indicating larger prediction errors and more variability. Root Mean Squared Error (RMSE): 12.28 RMSE of 12.28 is notably higher, suggesting that this model has larger prediction errors. R-squared (R2): -1.598 The negative R-squared value indicates that the model performs worse than a horizontal line as a predictor, indicating a poor fit. Random Forest Regression:

Mean Absolute Error (MAE): 6.99 This model, on average, predicts the “Price Change” within approximately 6.99 units of the true value, similar to Linear Regression. Mean Squared Error (MSE): 62.79 MSE is lower than the Decision Tree model but higher than Linear Regression, suggesting intermediate prediction accuracy Root Mean Squared Error (RMSE): 7.92 RMSE is also intermediate, indicating moderate prediction errors. R-squared (R2): -0.0824 The negative R-squared suggests that the Random Forest model does not perform well and has limited predictive power.

codesignal/tsla-historic-prices dataset hosted on Hugging Face and contributed by the HF Datasets community

Historical price series and percentage performance for TSLA across multiple ranges.

This dataset provides a decade of historical stock price data for Tesla, Inc., spanning from December 7, 2014, to December 5, 2024. It includes essential financial metrics that are valuable for trend analysis, forecasting, and machine learning projects.

Tesla reported 3.18B in Outstanding Shares in April of 2024. Data for Tesla | TSLA - Outstanding Shares including historical, tables and charts were last updated by Trading Economics this last December in 2025.

This dataset contains historical data on Tesla stock prices over a specific period of time. Includes data on the opening price, closing price, the highest and lowest price for each day, as well as trading volume. Use this dataset to analyze and forecast Tesla stock price movements and other financial research.

Aerodrom Nikola Tesla ad Beograd stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

Tesla Stock: An Analysis of its Growth, Volatility, and Future Prospects

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

Tesla reported $279.31 in PE Price to Earnings for its fiscal quarter ending in September of 2025. Data for Tesla | TSLA - PE Price to Earnings including historical, tables and charts were last updated by Trading Economics this last December in 2025.

Tesla reported $1.36T in Market Capitalization this December of 2025, considering the latest stock price and the number of outstanding shares.Data for Tesla | TSLA - Market Capitalization including historical, tables and charts were last updated by Trading Economics this last December in 2025.

TESLA Stock Data 2024

This is a dataset copied from Kaggle. You can see the original dataset here: https://www.kaggle.com/datasets/simronw/tesla-stock-data-2024

The following is the original readme of this dataset:

  About Dataset

This dataset contains historical stock price data for Tesla Inc. (TSLA) spanning from 1995 to 2024. It provides an in-depth look at the performance of Tesla's stock over nearly three decades, covering various key financial indicators and metrics… See the full description on the dataset page: https://huggingface.co/datasets/tablegpt/TESLAStockData2024.

This line chart displays closing price by date using the aggregation sum. The data is filtered where the stock is TSLA.SW. The data is about stocks per day.

This dataset contains daily historical stock price data for Tesla, Inc. (TSLA) spanning from January 2015 to August 2025. The data has been retrieved using the yfinance Python library, which provides access to Yahoo Finance’s market data.

Tesla has been one of the most influential companies in the electric vehicle and clean energy sector, making its stock price highly volatile and interesting for financial analysis, algorithmic trading, and machine learning projects.

Researchers, data scientists, and analysts can use this dataset for:

Stock price trend analysis

Technical analysis using indicators (e.g., Moving Averages, RSI, MACD)

Forecasting models (e.g., ARIMA, LSTM)

Market correlation studies

Backtesting trading strategies

Data Fields :

Column Description

Date The trading date (YYYY-MM-DD) Open Price at market open (USD) High Highest price of the day (USD) Low Lowest price of the day (USD) Close Price at market close (USD) Volume Number of shares traded on that day

Data Source Library Used: yfinance

Original Source: Yahoo Finance – Tesla Inc. (TSLA)

Date Range 📅 2015-01-01 to 2025-08-08