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The main stock market index of United States, the US500, rose to 6764 points on April 7, 2026, gaining 2.30% from the previous session. Over the past month, the index has declined 0.47%, though it remains 35.75% 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 April of 2026.
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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 stock market, New York, indexes, and USA.
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Euro Area's main stock market index, the EU50, rose to 5924 points on April 8, 2026, gaining 5.18% from the previous session. Over the past month, the index has climbed 4.19% and is up 28.15% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Euro Area. Euro Area Stock Market Index (EU50) - values, historical data, forecasts and news - updated on April of 2026.
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View data of the S&P 500, an index of the stocks of 500 leading companies in the US economy, which provides a gauge of the U.S. equity market.
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Use our Stock prices dataset to access comprehensive financial and corporate data, including company profiles, stock prices, market capitalization, revenue, and key performance metrics. This dataset is tailored for financial analysts, investors, and researchers to analyze market trends and evaluate company performance.
Popular use cases include investment research, competitor benchmarking, and trend forecasting. Leverage this dataset to make informed financial decisions, identify growth opportunities, and gain a deeper understanding of the business landscape. The dataset includes all major data points: company name, company ID, summary, stock ticker, earnings date, closing price, previous close, opening price, and much more.
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India's main stock market index, the SENSEX, rose to 77563 points on April 8, 2026, gaining 3.95% from the previous session. Over the past month, the index has declined 0.00%, though it remains 5.03% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from India. BSE SENSEX Stock Market Index - values, historical data, forecasts and news - updated on April of 2026.
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Stock market index in Mexico, February, 2026 The most recent value is 161.03 points as of February 2026, an increase compared to the previous value of 152.59 points. Historically, the average for Mexico from January 1970 to February 2026 is 37.25 points. The minimum of 0 points was recorded in January 1970, while the maximum of 161.03 points was reached in February 2026. | TheGlobalEconomy.com
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France's main stock market index, the FR40, rose to 8245 points on April 8, 2026, gaining 4.26% from the previous session. Over the past month, the index has climbed 4.17% and is up 20.14% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from France. France Stock Market Index (FR40) - values, historical data, forecasts and news - updated on April of 2026.
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The "yahoo_finance_dataset(2018-2023)" dataset is a financial dataset containing daily stock market data for multiple assets such as equities, ETFs, and indexes. It spans from April 1, 2018 to March 31, 2023, and contains 1257 rows and 7 columns. The data was sourced from Yahoo Finance, and the purpose of the dataset is to provide researchers, analysts, and investors with a comprehensive dataset that they can use to analyze stock market trends, identify patterns, and develop investment strategies. The dataset can be used for various tasks, including stock price prediction, trend analysis, portfolio optimization, and risk management. The dataset is provided in XLSX format, which makes it easy to import into various data analysis tools, including Python, R, and Excel.
The dataset includes the following columns:
Date: The date on which the stock market data was recorded. Open: The opening price of the asset on the given date. High: The highest price of the asset on the given date. Low: The lowest price of the asset on the given date. Close*: The closing price of the asset on the given date. Note that this price does not take into account any after-hours trading that may have occurred after the market officially closed. Adj Close**: The adjusted closing price of the asset on the given date. This price takes into account any dividends, stock splits, or other corporate actions that may have occurred, which can affect the stock price. Volume: The total number of shares of the asset that were traded on the given date.
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This dataset contains enriched historical stock market data for Indian NIFTY 50, NIFTY 100, and select global stocks (such as AAPL, TSLA, GOOGL, etc.). It is compiled to support advanced AI/ML modeling such as time series forecasting, trend classification, and real-time price prediction.
📁 Dataset Contents The dataset is split into multiple parts (.z01, .z02, ..., data.zip) to bypass file size upload limitations. Please download all files before extracting.
🔹 Structure inside archive: data/ ├── static_raw/ # Original Kaggle datasets (NIFTY 50, NIFTY 100, global stocks) ├── processed/ # Cleaned, pre-processed data │ ├── static/ # Static historical data │ ├── live/ # yFinance live historical pull │ └── enriched/ # With moving averages, indicators, etc. 🔹 File Format: .csv files
Common columns: Date, Open, High, Low, Close, Volume, technical indicators
🛠️ How to Extract After downloading the dataset !unzip data.zip
📌 Use Cases
This dataset is ideal for:
1.LSTM/GRU-based stock prediction
2.Prophet model benchmarking
3.Trend classification (bullish/bearish)
4.Feature engineering for time series
5.Interactive dashboards with Streamlit
📢 Credits
This dataset is part of a capstone AI project by:
Adithya B – Data collection, preprocessing, and full-stack integration
Hemnath S – Model evaluation
Harish Kumar K – Report creation & documentation
Joshua D – Dataset collection & management
Institution: Tagore Engineering College, Department of Computer Science Engineering
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The Rolling Stock Market Report is Segmented by Type (Locomotives, Metros and Light Rail Vehicles, Passenger Coaches, and More), Propulsion Type (Diesel, Electric, and More), Application (Passenger Rail and Freight Rail), End-User (National Rail Operators and More), Technology (Conventional and More) and Geography. The Market Forecasts are Provided in Terms of Value (USD) and Volume (Units).
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Discover the booming capital exchange ecosystem market, projected to reach $1.7 trillion by 2033 with a 5.8% CAGR. Explore market drivers, trends, regional breakdowns, and key players impacting stock & bond trading across NYSE, NASDAQ, LSE, and more. Get insights into primary, secondary, and capital market segments. Recent developments include: In December 2023, Defiance ETFs, introduced the Defiance Israel Bond ETF (NYSE Arca: CHAI) to facilitate investors' access to the Israeli bond market. CHAI commenced trading on the New York Stock Exchange. The ETF, CHAI, mirrors the MCM (Migdal Capital Markets) BlueStar Israel Bond Index, enabling investors to tap into both Israel government and corporate bonds. This index specifically monitors the performance of bonds, denominated in USD and shekels, issued by either the Israeli government or Israeli corporations., In January 2024, the National Stock Exchange (NSE) saw a 22% rise in its investor base, increasing from 70 million to 85.4 million during the calendar year 2023. This growth highlights the increasing participation of retail investors in the stock market.. Key drivers for this market are: Automating all processes, Regulatory Landscape. Potential restraints include: Automating all processes, Regulatory Landscape. Notable trends are: Increasing Stock Exchanges Index affecting Capital Market Exchange Ecosystem.
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China's main stock market index, the SHANGHAI, rose to 3890 points on April 7, 2026, gaining 0.26% from the previous session. Over the past month, the index has declined 5.04%, though it remains 23.67% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from China. China Shanghai Composite Stock Market Index - values, historical data, forecasts and news - updated on April of 2026.
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Stock market forecasting remains a complex and challenging task to forecast, traditional technical analysis methods like RSI, EMA, and Candlestick Patterns often fail to analyze the stock market time series pattern with many recent studies have now explored forecasting using machine learning or neural networks, other studies have improved the increase in accuracy or decrease in regression loss by applying technical indicator and sentiment analysis. This paper aims to analyze the performance of the combined reinforcement learning and machine learning models in predicting the stock market’s next day trend by incorporating both technical and sentiment-based features. Technical indicators were derived from historical price data focused on multi-timeframe trend and swing trend in the market, then sentiment features were extracted using FinBERT from Benzinga Pro as a reliable financial news source. The reinforcement learning model used is the Proximal Policy Optimization model, while a variety of machine learning models, such as XGBoost, Gradient Boosting, Random Forest, Decision Tree, K-Nearest Neighbor, Support Vector Machine, and Logistic Regression were trained to assess its predictive performance. Results indicate that the ensemble model outperformed the other tested machine learning models with an accuracy score of 69.97%. These reports highlight the effectiveness of the ensemble model combining sentiment and technical features to enhance stock market predictions accuracy. However, limitations such as news data availability and the small training time, remain a key challenge that could potentially increase the performance. Future research could experiment with alternative models, more training time, advance technical patterns, and more news datasets.
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TwitterAt the end of February 2026, the DAX index reached ********* points, marking its highest level since January 2015. Moreover, this also reflected a strong recovery from the global coronavirus (COVID-19) pandemic, having risen from ******** points at the end of March 2020 and surpassing its pre-pandemic level of approximately ********* points at the end of December 2019. Origin and composition of the DAX Index The DAX (Deutscher Aktienindex) is the most important German stock index, showing the value trends of the 40 largest companies by market capitalization listed on the Frankfurt stock exchange. The DAX index was introduced on July 1, 1988 and is a continuation of the Börsen-Zeitung Index, established in 1959. The count among their number some of the most recognizable companies in the world, such as carmakers Volkswagen and Daimler, sportswear brand adidas, and industrial giants Siemens and BASF. After the DAX, the 50 next-largest German companies are included in the midcap MDAX index, while the 70 next-largest small and medium-sized German companies (ranked from 91 to 160) are included in the SDAX index. The Frankfurt Stock Exchange All the companies included in the DAX family of indices are traded on the Frankfurt Stock Exchange. Dating back to 1585, the Frankfurt Stock Exchange is considered to be the oldest exchange in the world. It is the twelfth largest stock exchange in the world in terms of market capitalization, and accounts for around ** percent of all equity trading in Germany. Two main trading venues comprise the Frankfurt Stock Exchange: the Börse Frankfurt is a traditional trading floor; while the Xetra is an electronic trading system which accounts for the vast majority of trading volume on Frankfurt Stock Exchange. As of December 2023, the total market capitalization of all companies listed on the Frankfurt Stock Exchange was around *** trillion euros.
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This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
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The PAG Base Stock Market size valuation is expected to reach USD 4.5 billion in 2034 expanding at a CAGR of 6.2%. The PAG Base Stock Market report classifies market by key companies, drivers, demand, trend, and forecast insights.
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Israel's main stock market index, the TA-125, rose to 4157 points on April 6, 2026, gaining 1.19% from the previous session. Over the past month, the index has declined 1.14%, though it remains 72.76% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from Israel. Israel Stock Market (TA-125) - values, historical data, forecasts and news - updated on April of 2026.
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Monthly and long-term Kenya Stock Market data: historical series and analyst forecasts curated by FocusEconomics.
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The main stock market index of United States, the US500, rose to 6764 points on April 7, 2026, gaining 2.30% from the previous session. Over the past month, the index has declined 0.47%, though it remains 35.75% 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 April of 2026.