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.

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

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.

Context

This dataset contains daily stock data for Tesla Inc. (TSLA) from June 30, 2010, to January 20, 2025. It reflects Tesla’s growth and market fluctuations, offering valuable insights for financial analysis, machine learning, and predictive modeling.

Content

The dataset includes the following key features:

Open: Stock price at the start of the trading day. High: Highest price during the trading day. Low: Lowest price during the trading day. Close: Stock price at the end of the trading day. Adj Close: Adjusted closing price accounting for corporate actions. Volume: Total number of shares traded.

Variables

Variable: Description Date: Date of the trading day (YYYY-MM-DD) Open: Opening stock price for the day. High: Highest price during the day. Low: Lowest price during the day. Close: Closing price for the day. Adj Close: Adjusted closing price for stock splits, dividends, etc. Volume: Number of shares traded on that day.

Acknowledgements

Data was sourced from reliable public APIs like Yahoo Finance or Alpha Vantage. This dataset is not affiliated with Tesla, Inc. and is provided to support financial research and analysis.

Context

Tesla, Inc. is an American company that manufactures and sells electric cars, as well as power storage and photovoltaic systems. The company's goal is to “accelerate the transition to sustainable energy”. The company name is based on the physicist and inventor Nikola Tesla.

Market cap

Market capitalization of Tesla (TSLA)

Market cap: $1.082 Trillion USD

As of February 2025 Tesla has a market cap of $1.082 Trillion USD. This makes Tesla the world's 9th most valuable company by market cap according to our data. The market capitalization, commonly called market cap, is the total market value of a publicly traded company's outstanding shares and is commonly used to measure how much a company is worth.

Revenue

Revenue for Tesla (TSLA)

Revenue in 2024 (TTM): $97.69 Billion USD

According to Tesla's latest financial reports the company's current revenue (TTM ) is $97.69 Billion USD. an increase over the revenue in the year 2023 that were of $96.77 Billion USD. The revenue is the total amount of income that a company generates by the sale of goods or services. Unlike with the earnings no expenses are subtracted.

Earnings

Earnings for Tesla (TSLA)

Earnings in 2024 (TTM): $9.34 Billion USD

According to Tesla's latest financial reports the company's current earnings are $97.69 Billion USD. a decrease over its 2023 earnings that were of $10.12 Billion USD. The earnings displayed on this page are the earnings before interest and taxes or simply EBIT.

End of Day market cap according to different sources

On Feb 12th, 2025 the market cap of Tesla was reported to be:

• $1.082 Trillion USD by Yahoo Finance

• $1.082 Trillion USD by CompaniesMarketCap

• $1.082 Trillion USD by Nasdaq

Content

Geography: USA

Time period: June 2010- February 2025

Unit of analysis: Tesla Stock Data 2025

Variables

Acknowledgements

This dataset belongs to me. I’m sharing it here for free. You may do with it as you wish.

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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 that have shaped the company's growth story.

Tesla, Inc. (TSLA) is one of the most recognized electric vehicle manufacturers in the world, and its stock has experienced substantial volatility, making it a popular asset for investors, analysts, and enthusiasts. From its IPO in 2010 to its meteoric rise in the following years, this dataset captures the evolution of its stock price and trading volume.

Dataset Contents:

The dataset includes the following key columns:

Date: The date of the stock data.

Open: The opening price of Tesla's stock on a given date.

High: The highest price reached by Tesla's stock on that date.

Low: The lowest price reached by Tesla's stock on that date.

Close: The closing price of Tesla's stock on that date.

Adj Close: The adjusted closing price, which accounts for stock splits and dividends.

Volume: The total number of shares traded on that date.

Key Features and Insights:

Tesla's IPO and Early Performance: The dataset starts in 1995, a few years before Tesla's IPO in 2010. This gives users insight into the pre-IPO trading environment for the company and the broader market trends.

Post-IPO Growth: After Tesla went public in 2010, it experienced significant volatility, with periods of rapid growth and significant dips. The stock price and volume data reflect these shifts, helping users track Tesla's journey from a niche electric vehicle startup to one of the most valuable companies globally.

Stock Splits & Adjusted Close: The data includes adjusted close values, which provide a clear view of the stock's performance over time, accounting for stock splits and dividends. Notably, Tesla has undergone stock splits in recent years, and the "Adj Close" column allows users to view a consistent series of values.

2020-2024 Surge: Tesla's stock price saw a remarkable rise between 2020 and 2024, driven by its strong earnings reports, market optimism, and the overall growth of the electric vehicle and clean energy sectors. This period saw some of the most significant increases in Tesla's stock price, reflecting investor sentiment and broader trends in the stock market.

Market Volatility and External Factors: Users can analyze how external factors, such as changes in the global economy, the electric vehicle industry, and global events (like the COVID-19 pandemic), affected Tesla’s stock price.

Potential Use Cases:

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 enough detail to perform technical analysis, such as moving averages, volatility analysis, and trend recognition.

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 analyze key financial indicators, trading volume, and stock price movement to make informed decisions or study Tesla's financial growth.

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 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.

How many Tesla vehicles were delivered in 2025? Tesla's vehicle deliveries in the third quarter of 2025 amounted to around 497,120 units. Quarterly deliveries increased by around seven percent during the third quarter of 2025, compared with the third quarter of 2024. World's most valuable brand As of March 2025, Tesla was the most valuable brand within the global automotive sector. The brand was over double the brand value of Toyota, which was second in the ranking. April 2025 also recorded Tesla among the ten leading companies in the S&P 500 Index based on market capitalization, with a market cap around 798.1 billion U.S. dollars. Tesla enters the mainstream segment The initial rise in Tesla's market value was largely due to the release of its top-selling Model 3. The Model 3 was Tesla’s successful attempt to tap into the mainstream segment. By 2024, this Model consistently ranked among the world’s best-selling all-electric vehicle models, along with the bestseller Model Y. The Model 3 faces tough competition from other Tesla models, including the Model Y and the refreshed Model S Plaid.

1. Overview

This dataset provides monthly stock price data for the MAG7 over the past 20 years (2004–2024). The data includes key financial metrics such as opening price, closing price, highest and lowest prices, trading volume, and percentage change. The dataset is valuable for financial analysis, stock trend forecasting, and portfolio optimization.

2. What is MAG7 ?

MAG7 refers to the seven largest and most influential technology companies in the U.S. stock market : - Microsoft (MSFT) - Apple (AAPL) - Google (Alphabet, GOOGL) - Amazon (AMZN) - Nvidia (NVDA) - Meta (META) - Tesla (TSLA)

These companies are known for their market dominance, technological innovation, and significant impact on global stock indices such as the S&P 500 and Nasdaq-100.

3. Dataset Details

The dataset consists of historical monthly stock prices of MAG7, retrieved from Investing.com. It provides an overview of how these stocks have performed over two decades, reflecting market trends, economic cycles, and technological shifts.

4. Columns Descriptions

• Date The recorded month and year (DD-MM-YYYY)
• Price The closing price of the stock at the end of the month
• Open The price at which the stock opened at the beginning of the month
• High The highest stock price recorded in the month
• Low The lowest stock price recorded in the month
• Vol. The total trading volume for the month
• Change % The percentage change in stock price compared to the previous month # 5. Data Source & Format The dataset was obtained from Investing.com and downloaded in CSV format. The data has been processed to ensure consistency and accuracy, with date formats standardized for time-series analysis. # 6. Potential Use Cases This dataset can be used for :
• 📈 Stock price trend analysis over 20 years
• 📊 Building financial models for long-term investing
• 🔎 Machine learning applications in stock market prediction
• 📉 Evaluating market volatility and economic impact on MAG7 stocks

7. Limitations & Considerations

• ⚠️ The dataset is limited to monthly data, meaning short-term price fluctuations are not captured.
• ⚠️ Trading volume (Vol.) may vary in availability due to differences in reporting.
• ⚠️ External factors such as stock splits, dividends, and market crashes are not explicitly noted but may impact historical trends.

Japan's main stock market index, the JP225, rose to 49553 points on December 2, 2025, gaining 0.51% from the previous session. Over the past month, the index has declined 3.78%, though it remains 26.25% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from Japan. Japan Stock Market Index (JP225) - values, historical data, forecasts and news - updated on December of 2025.

Tesla is an American electric vehicle and clean energy company founded in 2003 by Elon Musk. It produces electric cars, energy storage systems, and solar products. Tesla is known for its cutting-edge technology, sustainability, and innovation in autonomous driving technology.

Tesla's Stock Tesla's stock, traded as TSLA on NASDAQ, has been one of the most closely watched and volatile stocks in recent years. The company's stock price has experienced significant fluctuations due to various factors, including investor sentiment, company-specific news and events, and global economic conditions. Tesla's market capitalization has grown rapidly in recent years, making it one of the most valuable car companies in the world. Despite the volatility, Tesla's stock has been popular with both institutional and retail investors who are bullish on the company's long-term prospects for growth and innovation.

About the dataset This dataset contains historical stock prices of an asset from March 2013 to the present. The dataset provides a detailed view of the fluctuations and trends in the price of the asset over time. The data includes information on daily stock prices, high and low values, closing prices, trading volumes, and adjusted closing prices.

The dataset consists of seven columns - Date, Price, High, Low, Close, Volume, and Adj Close. The Date column contains the date of the trading day, while the Price column contains the opening price of the asset on that day. The High column provides the highest price of the asset on that trading day, while the Low column provides the lowest price of the asset on that trading day. The Close column contains the closing price of the asset on that day. The Volume column contains the number of shares of the asset traded on that day, while the Adj Close column provides the adjusted closing price of the asset on that day, taking into account any dividends or other corporate actions that may have affected the price.

This dataset is a valuable resource for researchers, investors, and analysts who are interested in analyzing the performance of the asset over time. The data can be used to identify patterns and trends in the price of the asset, which can help in making informed investment decisions. The data can also be used to develop trading strategies and forecast future prices of the asset.

It is important to note that the performance of the asset is subject to various external factors, such as global economic conditions and company-specific events, which can impact its price. Therefore, it is recommended to exercise caution when interpreting the data and making investment decisions based on it.

Overall, this dataset provides a comprehensive view of the historical prices of an asset from March 2013 to the present and is an essential tool for anyone interested in understanding the performance of the asset and gaining insights into its long-term trends.

Pakistan's main stock market index, the KSE 100, fell to 167838 points on December 2, 2025, losing 0.13% from the previous session. Over the past month, the index has climbed 3.09% and is up 60.52% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Pakistan. Pakistan Stock Market (KSE100) - values, historical data, forecasts and news - updated on December of 2025.

The momentum of Databricks (not yet public) and Snowflake to re-write the reality of data in the Cloud truly is a sight to behold. Snowflake fell in extended trading on Wednesday after the company released third-quarter results that beat estimates but offered light product revenue guidance. However its stock price later bounced back even stronger. Go figure? A lot of hype… SNOW Up 10%, it’s really in a league of its own for growth in the Cloud. With a market cap close to $50 billion (data taken from its stock price in Excel), it’s hard to evaluate the business fundamentals away from the hype. The promise of unified data is very tantalizing indeed, yet when Databricks goes public, I don’t see Snowflake dominating like it has been in recent times. The Company’s platform enables customers to consolidate data into a single source to drive business insights, build data-driven applications and share data. Snowflake said it anticipates product revenue will be between $535 and $540 million in its fourth quarter, short of the $553 million expected by analysts estimates according to StreetAccount. Yet investors don’t seem to mind. Snowflake Inc. Shares have lost about 59.7% since the beginning of the year versus the S&P 500's decline of -17%. The recent low was $119 in June, 2022. You can read their Earnings here. Snowflake Earnings Product revenue of $522.8 million in the third quarter, representing 67% year-over-year growth Remaining performance obligations of $3.0 billion, representing 66% year-over-year growth 7,292 total customers Net revenue retention rate of 165% 287 customers with trailing 12-month product revenue greater than $1 million Revenue for the quarter was $557.0 million, representing 67% year-over-year growth. I can see why Snowflake is so popular though. Snowflake is Wildly Popular Currently Snowflake is wildly popular as one of the best growth stocks, . Snowflake provides an end to end data warehousing solution. There is practically no limit to the amount of databases and warehouses you can create (Ofcourse, you need Snowflake credits for creating and using warehouses). It's a highly scalable solution that adheres to all the data security best practices. I do believe Databricks is the better company in the end, but time will tell. Why would this company have a market cap of $50 billion already? They have 5,000 employees, lose money at a good clip and will experience significant competition in the coming years. Net Loss is Concerning Snowflake may not respond well to the significant slowdown in spending we are likely to see in 2023. It needs to significantly reset to be tempting. It does have 287 customers with trailing 12-month product revenue greater than $1 million which is encouraging. It’s growth in the 45-50% range is still very impressive for a company of its size. After 2023 we’ll have a much better idea of the real momentum of Snowflake. Snowflake reported 34% year-over-year growth in the number of customers, reaching 7,292 in the reported quarter. The company added 28 Forbes Global 2000 customers in the reported quarter. Snowflake signed 14 new customers with $1 million in trailing 12-month product revenues in the reported quarter. The real question is how much will it slow down in 2023. The Data Cloud is still Nascent While it’s appealing to invest in first-movers like Snowflake or later Databricks, how will competition and the Data cloud continue to evolve? It’s fairly hard to predict. Snowflake is not a traditional SaaS model, it’s pay as you go consumption based. It’s not yet clear if this is the right business model for optimal profitability. 93% of revenue is consumption-based Revenue recognized only as consumption occurs In many cases, rollover of unused capacity permitted, generally on the purchase of additional capacity Contract durations increasing along with larger customer commitments Primarily billed annually in advance with some on-demand in arrears If you are uncertain of Snowflake’s growth you can visit their visual Earnings PDF. The TAM of the Data Cloud is big enough for room for a lot of different kinds of companies and competitors. In our opinion, Snowflake is in a prime position to compete with AMD, one of the best value stocks. To read more about other Cloud Computing companies, check out: Apple Fair Value Apple P/E Apple EV/EBITDA Microsoft Fair Value Microsoft P/E Microsoft EV/EBITDA Tesla Fair Value Tesla P/E Tesla EV/EBITDA Amazon Fair Value Amazon P/E Amazon EV/EBITDA Netflix Fair Value Netflix P/E Netflix EV/EBITDA

As of June 2023, the majority of Denmark's online business-to-consumer (B2C) used car stock consisted of used petrol and diesel cars, at a share of ** percent and ** percent, respectively. Although the stock of electric cars comprised the smallest share of the total stock at ** percent, electric cars are no longer the slowest-selling used cars with an improved Market Days' Supply of ** days. In the same month, the Tesla Model Y was the

Context

Data is found everywhere and it's the duty of a Data Scientist to infer something from them

Content

Data consists of the monthly stock price of Tesla from July 2015 to June 2021. The data is arranged in 7 columns

Acknowledgements

https://in.finance.yahoo.com/quote/TSLA/history/

This Dataset contains the Stock prices of Tesla Motors Company the opening price, closing price, low price etc.. Use these Data and Predict the Stock Prices for upcoming years. Available timeframes: Monthly(MN1), Weekly(W1), Daily(D1), 4-Hourly(H4), Hourly(H1), 30-Minutes(M30), 15-Minutes(M15), 10-Minutes(M10), 5-Minutes(M5).

Tesla Motors D1 Daily timeframe

   datetime open high  low close  volume
0 2010-06-29 1.23 1.66 1.16  1.59 48396981
1 2010-06-30 1.72 2.02 1.55  1.57 50220666
2 2010-07-01 1.66 1.72 1.34  1.46 24136347
3 2010-07-02 1.53 1.54 1.24  1.28 14933295
4 2010-07-06 1.33 1.33 1.05  1.06 19921698


... ... ... ... ... ... ... ...

  datetime  open  high   low  close  volume


3493 2024-03-08 178.73 182.73 174.70 175.41 67134329
3494 2024-03-09 175.41 175.41 175.32 175.39   33414
3495 2024-03-11 175.45 182.87 174.80 177.81 66873611
3496 2024-03-12 177.77 179.43 172.41 177.47 67692765
3497 2024-03-13 173.05 176.05 169.15 169.49 77267229

Tesla Motors H1 Hourly timeframe

       datetime open high  low close  volume
0 2010-06-29 18:00:00 1.23 1.26 1.16  1.20 17642793
1 2010-06-29 19:00:00 1.20 1.23 1.20  1.22  5992710
2 2010-06-29 20:00:00 1.22 1.27 1.22  1.27  5145171
3 2010-06-29 21:00:00 1.27 1.46 1.27  1.46  9751716
4 2010-06-29 22:00:00 1.46 1.66 1.40  1.59  9864591


... ... ... ... ... ... ... ...

       datetime  open  high   low  close  volume


24703 2024-02-27 20:00:00 201.94 202.65 198.60 198.80 12529339
24704 2024-02-27 21:00:00 198.73 200.24 198.26 200.22 10570084
24705 2024-02-27 22:00:00 200.24 200.92 199.19 200.61 10832329
24706 2024-02-27 23:00:00 200.59 200.69 198.86 199.77  8842209
24707 2024-02-28 00:00:00 199.77 199.79 199.71 199.72   17669

🚗📈 BYDDF Stock Data (2002–2025) – BYD Company Limited

🔗 Ticker Symbol: BYDDF (BYD Company Limited)
📆 Date Range: July 31, 2002 – March 16, 2025
📍 Industry: Electric Vehicles (EV), Batteries, Renewable Energy

📌 Dataset Overview

This dataset contains the historical stock price data for BYD Company Limited (BYDDF), one of the leading electric vehicle (EV) and battery manufacturers in the world. The data spans over 20+ years, covering the company's evolution from a battery producer to a global EV powerhouse.

📂 Features in This Dataset

• Date – Trading date
• Open Price – Opening price of the stock
• High Price – Highest price reached during the trading day
• Low Price – Lowest price during the trading day
• Close Price – Closing price at the end of the trading session
• Adjusted Close – Adjusted closing price considering dividends/splits
• Volume – Total number of shares traded on that day

🔥 Why Use This Dataset?

✅ Stock Market Analysis – Study BYDDF's historical price trends
✅ Time Series Forecasting – Build ML models to predict future stock prices
✅ EV Industry Insights – Analyze how market events impact BYD's stock
✅ Comparative Analysis – Compare with Tesla (TSLA), NIO, and other EV stocks

📈 Potential Use Cases

🔹 Stock Price Visualization – Plot BYDDF stock trends over the years
🔹 Moving Average Analysis – Identify support & resistance levels
🔹 Market Sentiment Study – Analyze how news/events impact stock price

💬 Let’s Discuss!

• How has BYDDF's stock performed compared to other EV makers?
• What market trends have influenced its stock movements?
• Can we predict future price movements using machine learning models?

Contect info:

You can contect me for more data sets

-E_mail

-Linkdin

-Kaggle

-X

-Github

🚀 Feel free to share your insights, notebooks, and visualizations!

🏷️ Tags

#BYDDF #StockMarket #EVStocks #Finance #StockPrediction #DataAnalysis #TimeSeries #MachineLearning