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TwitterThe price of Meta (former Facebook) shares traded on the Nasdaq stock exchange fluctuated significantly but increased overall during the period from May 2012 to January 2025. After peaking at ****** U.S. dollars per share in August 2021, the price of Meta shares started to fluctuate and exceeded its previous peak in 2025. The share price stood at ****** U.S. dollars as of the end of January 2025. Substantial fluctuations in the last few years Meta's stock prices have fluctuated particularly after the rebranding announcement in late 2021. Following the announcement and through 2022, Meta's revenue remained rather stagnant, and its net income decreased considerably. Moreover, the tech giant announced one of the industry's largest layoffs in late 2022. As a result, the share price hit a low of ***** U.S. dollars in October 2022, the lowest value observed since 2016. However, Meta's share price has been steadily recovering since then. Shift in strategy for the world’s first social network Meta has shifted its focus to the metaverse, virtual reality (VR), and augmented reality (AR), with the rebranding in late 2021. As a result, Reality Labs was established as a dedicated business and research unit to focus on developing metaverse and AR/VR technologies. However, as of early 2023, Meta still relies mainly on advertising and its Family of Apps to generate most of its revenue, despite having made significant investments in virtual reality. Reality Labs generated *** billion U.S. dollars in revenue in 2024 and has been consistently incurring operating losses since 2019.
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TwitterThis dataset offers comprehensive historical stock market data covering over 9,000 tickers from 1962 to the present day. It includes essential daily trading information, making it suitable for various financial analyses, trend studies, and algorithmic trading model development.
This dataset is ideal for: - Time-Series Analysis: Track stock price trends over time, examining daily, monthly, and yearly patterns across sectors. - Algorithmic Trading: Develop and backtest trading strategies using historical price movements and volume data. - Machine Learning Applications: Train models for stock price prediction, volatility forecasting, or portfolio optimization. - Quantitative Research: Perform event studies, analyze the impact of dividends and stock splits, and assess long-term investment strategies. - Comparative Analysis: Evaluate performance across industries or against broader market trends by analyzing multiple tickers in one dataset.
This dataset serves as a robust resource for academic research, quantitative finance studies, and financial technology development.
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Graph and download economic data for Index of All Common Stock Prices for United States (M1125BUSM347NNBR) from Jan 1945 to Dec 1968 about stock market, indexes, and USA.
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Graph and download economic data for Index of Common Stock Prices, New York Stock Exchange for United States (M11007USM322NNBR) from Jan 1902 to May 1923 about New York, stock market, indexes, and USA.
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TwitterThe price of Alphabet A shares traded on the Nasdaq stock exchange increased continuously during the period between January 2010 and October 2021. Since then, the price of Alphabet A share fluctuated significantly and amounted to ****** U.S. dollars as of the end of January 2025. This was the highest value reached during this period.
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This Dataset contains the Stock prices of Meta Platforms Inc. 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).
Meta Platforms Inc. D1 Daily timeframe
datetime open high low close volume 0 2012-05-18 42.27 43.00 38.00 38.18 470820876 1 2012-05-21 36.53 36.66 33.00 34.03 155558610 2 2012-05-22 32.66 33.59 30.94 31.11 94691008 3 2012-05-23 31.37 32.51 31.36 32.00 66473588 4 2012-05-24 32.98 33.21 31.77 33.02 43645197... ... ... ... ... ... ... ...
datetime open high low close volume3016 2024-03-08 512.49 523.57 499.35 505.97 10508079 3017 2024-03-09 505.87 506.01 505.80 505.94 6053 3018 2024-03-11 497.01 497.32 476.00 483.70 12548748 3019 2024-03-12 493.77 502.31 484.73 499.70 8890119 3020 2024-03-13 495.39 500.98 491.03 495.66 6106300
Meta Platforms Inc. H1 Hourly timeframe
datetime open high low close volume 0 2012-05-18 18:00:00 42.27 43.00 38.00 38.85 132028797 1 2012-05-18 19:00:00 38.86 41.95 38.01 41.01 94462586 2 2012-05-18 20:00:00 41.00 42.00 40.13 40.17 63296766 3 2012-05-18 21:00:00 40.15 42.00 38.00 39.13 71489135 4 2012-05-18 22:00:00 39.13 40.25 38.00 38.18 109543592... ... ... ... ... ... ... ...
datetime open high low close volume21434 2024-03-13 19:00:00 496.35 497.48 495.11 496.89 444473 21435 2024-03-13 20:00:00 496.93 498.27 495.85 497.12 492129 21436 2024-03-13 21:00:00 497.11 498.22 496.60 496.71 478064 21437 2024-03-13 22:00:00 496.69 497.58 494.29 495.76 1019361 21438 2024-03-13 23:00:00 495.56 495.69 495.56 495.66 2929
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Graph and download economic data for American Railroad Stock Prices for United States (M11005USM293NNBR) from Jan 1855 to Jan 1937 about railroad, stock market, and USA.
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United States Stock Prices: 12 Months Expectation: Increase data was reported at 36.100 % in Apr 2025. This records a decrease from the previous number of 39.900 % for Mar 2025. United States Stock Prices: 12 Months Expectation: Increase data is updated monthly, averaging 36.200 % from Jun 1987 (Median) to Apr 2025, with 455 observations. The data reached an all-time high of 57.200 % in Nov 2024 and a record low of 18.100 % in Mar 2008. United States Stock Prices: 12 Months Expectation: Increase data remains active status in CEIC and is reported by The Conference Board. The data is categorized under Global Database’s United States – Table US.H052: Consumer Confidence Index: Stock Price Expectation. [COVID-19-IMPACT]
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The main stock market index of United States, the US500, rose to 6818 points on December 2, 2025, gaining 0.08% from the previous session. Over the past month, the index has declined 0.50%, though it remains 12.70% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from United States. United States Stock Market Index - values, historical data, forecasts and news - updated on December of 2025.
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All data acquired on December 11th 2023
1) Ticker: Stock symbol identifying the company.
2) Company: Name of the company.
3) Sector: Industry category to which the company belongs.
4) Industry: Specific sector or business category of the company.
5) Country: Country where the company is based.
6) Market Cap: Total market value of a company's outstanding shares.
7) Price: Current stock price.
8) Change (%): Percentage change in stock price.
9) Volume: Number of shares traded.
10) Price to Earnings Ratio: Ratio of stock price to earnings per share.
11) Price to Earnings: Price-to-earnings ratio based on past earnings.
12) Forward Price to Earnings: Expected price-to-earnings ratio.
13) Price/Earnings to Growth: Ratio of P/E to earnings growth.
14) Price to Sales: Ratio of stock price to annual sales.
15) Price to Book: Ratio of stock price to book value.
16) Price to Cash: Ratio of stock price to cash per share.
17) Price to Free Cash Flow: Ratio of stock price to free cash flow.
18) Earnings Per Share This Year (%): Percentage change in earnings per share for the current year.
19) Earnings Per Share Next Year (%): Percentage change in earnings per share for the next year.
20) Earnings Per Share Past 5 Years (%): Percentage change in earnings per share over the past 5 years.
21) Earnings Per Share Next 5 Years (%): Estimated percentage change in earnings per share over the next 5 years.
22) Sales Past 5 Years (%): Percentage change in sales over the past 5 years.
23) Dividend (%): Dividend yield as a percentage of the stock price.
24) Return on Assets (%): Percentage return on total assets.
25) Return on Equity (%): Percentage return on shareholder equity.
26) Return on Investment (%): Percentage return on total investment.
27) Current Ratio: Ratio of current assets to current liabilities.
28) Quick Ratio: Ratio of liquid assets to current liabilities.
29) Long-Term Debt to Equity: Ratio of long-term debt to shareholder equity.
30) Debt to Equity: Ratio of total debt to shareholder equity.
31) Gross Margin (%): Percentage difference between revenue and cost of goods sold.
32) Operating Margin (%): Percentage of operating income to revenue.
33) Profit Margin: Percentage of net income to revenue.
34) Earnings: Net income of the company.
35) Outstanding Shares: Total number of shares issued by the company.
36) Float: Tradable shares available to the public.
37) Insider Ownership (%): Percentage of company owned by insiders.
38) Insider Transactions: Recent insider buying or selling activity.
39) Institutional Ownership (%): Percentage of company owned by institutional investors.
40) Float Short (%): Percentage of tradable shares sold short by investors.
41) Short Ratio: Number of days it would take to cover short positions.
42) Average Volume: Average number of shares traded daily.
43) Performance (Week) (%): Weekly stock performance percentage.
44) Performance (Month) (%): Monthly stock performance percentage.
45) Performance (Quarter) (%): Quarterly stock performance percentage.
46) Performance (Half Year) (%): Semi-annual stock performance percentage.
47) Performance (Year) (%): Annual stock performance percentage.
48) Performance (Year to Date) (%): Year-to-date stock performance percentage.
49) Volatility (Week) (%): Weekly stock price volatility percentage.
50) Volatility (Month) (%): Monthly stock price volatility percentage.
51) Analyst Recommendation: Analyst consensus recommendation on the stock.
52) Relative Volume: Volume compared to the average volume.
53) Beta: Measure of stock price volatility relative to the market.
54) Average True Range: Average price range of a stock.
55) Simple Moving Average (20) (%): Percentage difference from the 20-day simple moving average.
56) Simple Moving Average (50) (%): Percentage difference from the 50-day simple moving average.
57) Simple Moving Average (200) (%): Percentage difference from the 200-day simple moving average.
58) Yearly High (%): Percentage difference from the yearly high stock price.
59) Yearly Low (%): Percentage difference from the yearly low stock price.
60) Relative Strength Index: Momentum indicator measuring the speed and change of price movements.
61) Change from Open (%): Percentage change from the opening stock price.
62) Gap (%): Percentage difference between the previous close and the current open price.
63) Volume: Total number of shares traded.
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TwitterThe price of NVIDIA shares traded on the Nasdaq stock exchange remained rather stable between July 2010 and January 2017. With the beginning of 2017, the price of NVIDIA shares started to increase, standing at ***** U.S. dollars per share in November 2021. Since then, the price of NVIDIA shares rose significantly and reached its highest value at ****** U.S. dollars as of the end of November 2024.
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About the Google Stock Price Dataset
The Google Stock Price Dataset consists of two CSV (Comma Separated Values) files containing historical stock price data for training and evaluation. Each row in the dataset represents a trading day, and the columns provide various information related to Google's stock for that day.
Columns:
Date: The date of the trading day in the format "YYYY-MM-DD."
Open: The opening price of Google's stock on that trading day.
High: The highest price reached during the trading day.
Low: The lowest price reached during the trading day.
Close: The closing price of Google's stock on that trading day.
Adj Close: The adjusted closing price, accounting for any corporate actions (e.g., stock splits, dividends) that may affect the stock's value.
Volume: The trading volume, representing the number of shares traded on that trading day.
Time Period: The train dataset spans from January 1, 2010, to December 31, 2022, providing twelve years of daily stock price information for model training. The test dataset spans from January 1, 2023, to July 30, 2023, providing seven month of daily stock price data for model evaluation.
Data Source:
The dataset was collected from Yahoo Finance (finance.yahoo.com), a reputable and widely-used financial data platform.
Use Case:
The Google Stock Price Dataset can be utilized for various purposes, such as predicting future stock prices, analyzing historical stock trends, and building machine learning models for financial forecasting.
Potential Applications:
Time Series Analysis: Explore stock price patterns and seasonality. Financial Modeling: Develop predictive models to forecast stock prices. Algorithmic Trading: Create trading strategies based on historical stock data. Risk Management: Assess potential risks and volatilities in the stock market.
Citation:
If you use this dataset in your research or analysis, please provide proper attribution and citation to acknowledge the source.
License: This dataset is provided under the Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication, making it freely available for use without any restrictions or attribution requirements.
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TwitterThroughout the 1920s, prices on the U.S. stock exchange rose exponentially, however, by the end of the decade, uncontrolled growth and a stock market propped up by speculation and borrowed money proved unsustainable, resulting in the Wall Street Crash of October 1929. This set a chain of events in motion that led to economic collapse - banks demanded repayment of debts, the property market crashed, and people stopped spending as unemployment rose. Within a year the country was in the midst of an economic depression, and the economy continued on a downward trend until late-1932.
It was during this time where Franklin D. Roosevelt (FDR) was elected president, and he assumed office in March 1933 - through a series of economic reforms and New Deal policies, the economy began to recover. Stock prices fluctuated at more sustainable levels over the next decades, and developments were in line with overall economic development, rather than the uncontrolled growth seen in the 1920s. Overall, it took over 25 years for the Dow Jones value to reach its pre-Crash peak.
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Graph and download economic data for Index of Stock Prices (General) for Germany (M1123BDEM334NNBR) from Jan 1924 to Dec 1935 about stock market, Germany, and indexes.
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Graph and download economic data for Average Prices of 40 Common Stocks for United States (M11006USM315NNBR) from Jan 1890 to Dec 1915 about stock market and USA.
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Graph and download economic data for Dow-Jones Industrial Stock Price Index for United States (M1109BUSM293NNBR) from Dec 1914 to Dec 1968 about stock market, industry, price index, indexes, price, and USA.
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P&G stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.
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TwitterThe price of Alphabet C shares traded on the Nasdaq stock exchange increased continuously during the period between ************ and ************, when the share price peaked at ****** U.S. dollars. Since then, the price of Alphabet C fluctuated and peaked again at ***** dollars as of the end of ************.
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This dataset contains Apple's (AAPL) stock data for the last 10 years (from 2010 to date). I believe insights from this data can be used to build useful price forecasting algorithms to aid investment. I would like to thank Nasdaq for providing access to this rich dataset. I will make sure I update this dataset every few months.
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TwitterThe price of PayPal shares traded on the Nasdaq stock exchange increased between overall between 2015 and June 2021, when the price peaked at ****** U.S. dollars per share. Since then, the price of PayPal shares started to decrease and dropped to ***** U.S. dollars as of the end of June 2024. Starting in July 2024, prices experienced an upward trend, amounting to ***** U.S. dollars per share in January 2025.
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TwitterThe price of Meta (former Facebook) shares traded on the Nasdaq stock exchange fluctuated significantly but increased overall during the period from May 2012 to January 2025. After peaking at ****** U.S. dollars per share in August 2021, the price of Meta shares started to fluctuate and exceeded its previous peak in 2025. The share price stood at ****** U.S. dollars as of the end of January 2025. Substantial fluctuations in the last few years Meta's stock prices have fluctuated particularly after the rebranding announcement in late 2021. Following the announcement and through 2022, Meta's revenue remained rather stagnant, and its net income decreased considerably. Moreover, the tech giant announced one of the industry's largest layoffs in late 2022. As a result, the share price hit a low of ***** U.S. dollars in October 2022, the lowest value observed since 2016. However, Meta's share price has been steadily recovering since then. Shift in strategy for the world’s first social network Meta has shifted its focus to the metaverse, virtual reality (VR), and augmented reality (AR), with the rebranding in late 2021. As a result, Reality Labs was established as a dedicated business and research unit to focus on developing metaverse and AR/VR technologies. However, as of early 2023, Meta still relies mainly on advertising and its Family of Apps to generate most of its revenue, despite having made significant investments in virtual reality. Reality Labs generated *** billion U.S. dollars in revenue in 2024 and has been consistently incurring operating losses since 2019.