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TwitterREST API access in JSON format for over 50,000 stocks, ETFs, funds and indices. Historical price data with up to 100 years history of stocks, funds, ETFs, crypto-currencies and bonds from over 50 exchanges (XETRA, Frankfurt Stock Exchange, London, New York) worldwide!
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TwitterWe offer three easy-to-understand packages to fit your business needs. Visit intrinio.com/pricing to compare packages.
Bronze
The Bronze package is ideal for developing your idea and prototyping your platform with high-quality EOD options prices sourced from OPRA.
When you’re ready for launch, it’s a seamless transition to our Silver package for delayed options prices, Greeks and implied volatility, and unusual options activity, plus delayed equity prices.
Exchange Fees & Requirements:
This package requires no paperwork or exchange fees.
Bronze Benefits:
Silver
The Silver package is ideal for clients that want delayed options data for their platform, or for startups in the development and testing phase. You’ll get 15-minute delayed options data, Greeks, implied volatility, and unusual options activity, plus the latest EOD options prices and delayed equity prices.
You can easily move up to the Gold package for real-time options and equity prices, additional access methods, and premium support options.
Exchange Fees & Requirements:
If you subscribe to the Silver package and will not display the data outside of your firm, you’ll need to fill out a simplified exchange agreement and send it back to us. There are no exchange fees and we can provide immediate access to the data.
If you subscribe to the Silver package and will display the data outside of your firm, we’ll work with your team to submit the correct paperwork to OPRA for approval. Once approved, OPRA will bill exchange fees directly to your firm – typically $600-$2000/month depending on your use case. These fees are the same no matter what data provider you use. Per-user reporting is not required, so there are no variable per user fees.
Silver Benefits:
Gold
The Gold package is ideal for funded companies that are in the growth or scaling stage, as well as institutions that are innovating within the fintech space. This full-service solution offers real-time options prices, Greeks and implied volatility, and unusual options activity, as well as the latest EOD options prices and real-time equity prices.
You’ll also have access to our wide range of modern access methods, third-party data via Intrinio’s API with licensing assistance, support from our team of expert engineers, custom delivery architectures, and much more.
Exchange Fees & Requirements:
If you subscribe to the Gold package, we’ll work with your team to submit the correct paperwork to OPRA for approval. Once approved, OPRA will bill exchange fees directly to your firm – typically $600-$2000/month depending on your use case. These fees are the same no matter what data provider you use. Per-user reporting is required, with an associated variable per user fee.
Gold Benefits:
Platinum
Don’t see a package that fits your needs? Our team can design a premium custom package for your business.
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TwitterFinnhub is the ultimate stock api in the market, providing real-time and historical price for global stocks with Rest API and websocket. We also support a tons of other financial data like stock fundamentals, analyst estimates, fundamental data and more. Download the file to access balance sheet of Amazon.
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TwitterApache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
License information was derived automatically
This project involves collecting and analyzing financial data for Electronic Arts (EA) using the Alpha Vantage API. The data includes historical stock prices, dividend payments, and stock splits. The project aims to provide a detailed view of EA’s financial performance and corporate actions over time.
1) Stock Price Data: Daily records of EA’s stock prices, including opening, high, low, and closing prices, as well as trading volume.
2) Dividend Data: Historical records of dividend payments by EA, detailing declaration dates, record dates, payment dates, and dividend amounts.
3) Stock Split Data: Records of stock split events, showing the date of each split and the split ratio.
The data is sourced from the Alpha Vantage API, which provides comprehensive financial market data. The datasets are cleaned and formatted to ensure consistency and accuracy. They are then saved in CSV files for easy access and analysis.
Stock Price Analysis: Evaluate EA’s stock price trends, volatility, and trading volumes over time.
Dividend Analysis: Analyze dividend payment trends, yield, and changes in dividend policy.
Stock Split Analysis: Understand the impact of stock splits on EA’s stock price and overall market behavior.
This data can be used by investors, financial analysts, and researchers to make informed decisions or conduct further financial research. It can also be integrated into financial models or visualizations to provide a clearer picture of EA’s financial health and corporate actions.
The project provides a detailed dataset of Electronic Arts’ financial data, including stock prices, dividends, and stock splits. By sourcing data from the Alpha Vantage API and carefully formatting it, the project offers valuable insights into EA’s historical financial performance. The data is organized into CSV files, making it accessible for analysis, research, and decision-making purposes.
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TwitterWe offer three easy-to-understand equity data packages to fit your business needs. Visit intrinio.com/pricing to compare packages.
Bronze
The Bronze package is ideal for developing your idea and prototyping your platform with high-quality EOD equity pricing data, standardized financial statement data, and supplementary fundamental datasets.
When you’re ready for launch, it’s a seamless transition to our Silver package for additional data sets, 15-minute delayed equity pricing data, expanded history, and more.
Bronze Benefits:
Silver
The Silver package is ideal for startups that are in development, testing, or in the beta launch phase. Hit the ground running with 15-minute delayed and historical intraday and EOD equity prices, plus our standardized and as-reported financial statement data with nine supplementary data sets, including insider transactions and institutional ownership.
When you’re ready to scale, easily move up to the Gold package for our full range of data sets and full history, real-time equity pricing data, premium support options, and much more.
Silver Benefits:
Gold
The Gold package is ideal for funded companies that are in the growth or scaling stage, as well as institutions that are innovating within the fintech space. This full-service solution offers our complete collection of equity pricing data feeds, from real-time to historical EOD, plus standardized financial statement data and nine supplementary feeds.
You’ll also have access to our wide range of modern access methods, third-party data via Intrinio’s API with licensing assistance, support from our team of expert engineers, custom delivery architectures, and much more.
Gold Benefits:
Platinum
Don’t see a package that fits your needs? Our team can design premium custom packages for institutions.
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TwitterREST API access to intraday quotes for over 50,000 stocks, ETFs, funds, cryptos and indices. 100,000 requests/day - €50/month. Months of historical data at 5-minute intervals from over 50 exchanges (XETRA, Frankfurt Stock Exchange, London, New York, and more) worldwide!
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TwitterYou can obtain the data from the Analyst Ratings through our API and databases. It is available through JSON REST API or downloadable as a csv or excel file. We obtain the data from analysts and financial experts in all sectors and industries which we constantly up date as analysts release new reports and statements. We then compile this data in an intuitively API that is easily used by developers to build systems for your platforms and applications.
Filtering Parameters: - Stock Ticker Symbol - ISIN identifier - Analyst name - Analyst firm - Analyst success rate - Analyst return rate - date ranges from when you want output
Output example:
},
"results": [
{
"basics": {
"name": "Apple Inc",
"stock_ticker_symbol": "AAPL"
"isin_identifier": "US0378331005"
"exchange": "nasdaq"
},
"output": {
"averageRecommendation": {
"current": "1.33",
"one_month_ago": "1.29",
"two_months_ago": "1.35",
"three_months_ago": "1.35"
},
"strongBuy": {
"current": "18",
"one_month_ago": "19",
"two_months_ago": "20",
"three_months_ago": "20"
},
"hold": {
"current": "2",
"one_month_ago": "2",
"two_months_ago": "3",
"three_months_ago": "3"
},
"strongSell": {
"current": "0",
"one_month_ago": "0",
"two_months_ago": "0",
"three_months_ago": "0"
}
}
You can find the detailed documentation on finnworlds.com/documentation. Be sure to let us know you found us through Datarade, which helps this platform in return.
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Twitterhttps://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
https://upload.wikimedia.org/wikipedia/commons/thumb/a/a4/Mastercard_2019_logo.svg/195px-Mastercard_2019_logo.svg.png" alt="Mastercard">
Mastercard Inc. (stylized as MasterCard from 1979 to 2016 and MasterCard since 2016) is an American multinational financial services corporation headquartered in the Mastercard International Global Headquarters in Purchase, New York. The Global Operations Headquarters is located in O'Fallon, Missouri, a municipality of St. Charles County, Missouri. Throughout the world, its principal business is to process payments between the banks of merchants and the card-issuing banks or credit unions of the purchasers who use the "Mastercard" brand debit, credit, and prepaid cards to make purchases. Mastercard Worldwide has been a publicly traded company since 2006. Prior to its initial public offering, Mastercard Worldwide was a cooperative owned by the more than 25,000 financial institutions that issue its branded cards.
Mastercard, originally known as Interbank from 1966 to 1969 and Master Charge from 1969 to 1979, was created by an alliance of several regional bank card associations in response to the BankAmericard issued by Bank of America, which later became the Visa credit card issued by Visa Inc.
Mastercard is one of the best performing stocks of the decade of 2011-2020
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TwitterHistorical Stock Splits API provides financial data users with a rapid access to historical stock splits data. Company executive boards of public companies very often aim for stock splitting when circumstances are favourable. Stock-splitting leads to an increased number of shares sold at lower prices. In this way, prospective investors or company shareholders purchase more shares at attractive prices. If you need historical stock splitting data for your financial project, try out Finnworlds Historical Stock Splits API. In case you want to learn more about it, please, visit the website. https://finnworlds.com/historical-stock-splits-api/
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Twitterhttps://finazon.io/assets/files/Finazon_Terms_of_Service.pdfhttps://finazon.io/assets/files/Finazon_Terms_of_Service.pdf
The best choice for those looking for license-free US market data for commercial use is US Equities Basic, which includes data display, redistribution, professional trading, and more.
US Equities Basic is based upon a derived IEX feed. The volume coverage is 3-5% of the total trading volume in North America, which helps entities mitigate license expenses and start with real-time data.
US Equities Basic provides raw quotes, trades, aggregated time series (OHLCV), and snapshots. Both REST API and WebSocket API are available.
End-of-day price information disseminated after 12:00 AM EST does not require licensing in the United States by law. This applies to all exchanges, even those not included in the US Equities Basic. Finazon combines all price information after every trading day, meaning that while markets are open, real-time prices are available from a subset of exchanges, and when markets close, data is synced and contains 100% of US volume. All historical prices are adjusted for corporate actions and splits.
Tip: Individuals with non-professional usage are not required to get exchange licenses for real-time data and, hence, are better off with the US Equities Max dataset.
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TwitterMealMe provides comprehensive grocery and retail SKU-level product data, including real-time pricing, from the top 100 retailers in the USA and Canada. Our proprietary technology ensures accurate and up-to-date insights, empowering businesses to excel in competitive intelligence, pricing strategies, and market analysis.
Retailers Covered: MealMe’s database includes detailed SKU-level data and pricing from leading grocery and retail chains such as Walmart, Target, Costco, Kroger, Safeway, Publix, Whole Foods, Aldi, ShopRite, BJ’s Wholesale Club, Sprouts Farmers Market, Albertsons, Ralphs, Pavilions, Gelson’s, Vons, Shaw’s, Metro, and many more. Our coverage spans the most influential retailers across North America, ensuring businesses have the insights needed to stay competitive in dynamic markets.
Key Features: SKU-Level Granularity: Access detailed product-level data, including product descriptions, categories, brands, and variations. Real-Time Pricing: Monitor current pricing trends across major retailers for comprehensive market comparisons. Regional Insights: Analyze geographic price variations and inventory availability to identify trends and opportunities. Customizable Solutions: Tailored data delivery options to meet the specific needs of your business or industry. Use Cases: Competitive Intelligence: Gain visibility into pricing, product availability, and assortment strategies of top retailers like Walmart, Costco, and Target. Pricing Optimization: Use real-time data to create dynamic pricing models that respond to market conditions. Market Research: Identify trends, gaps, and consumer preferences by analyzing SKU-level data across leading retailers. Inventory Management: Streamline operations with accurate, real-time inventory availability. Retail Execution: Ensure on-shelf product availability and compliance with merchandising strategies. Industries Benefiting from Our Data CPG (Consumer Packaged Goods): Optimize product positioning, pricing, and distribution strategies. E-commerce Platforms: Enhance online catalogs with precise pricing and inventory information. Market Research Firms: Conduct detailed analyses to uncover industry trends and opportunities. Retailers: Benchmark against competitors like Kroger and Aldi to refine assortments and pricing. AI & Analytics Companies: Fuel predictive models and business intelligence with reliable SKU-level data. Data Delivery and Integration MealMe offers flexible integration options, including APIs and custom data exports, for seamless access to real-time data. Whether you need large-scale analysis or continuous updates, our solutions scale with your business needs.
Why Choose MealMe? Comprehensive Coverage: Data from the top 100 grocery and retail chains in North America, including Walmart, Target, and Costco. Real-Time Accuracy: Up-to-date pricing and product information ensures competitive edge. Customizable Insights: Tailored datasets align with your specific business objectives. Proven Expertise: Trusted by diverse industries for delivering actionable insights. MealMe empowers businesses to unlock their full potential with real-time, high-quality grocery and retail data. For more information or to schedule a demo, contact us today!
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TwitterThe Real-time Candlestick OHLC API provides current candlestick data that covers all major stock exchanges including NYSE, NASDAQ, LSE, Euronext to NSE of India, TSE, and a few more. Users can choose from candlestick data with 1 min, 2 min, 5 min, 15 min, 30 min, 1 hour, 4 hour, 1 day, 1 week, 1 month and 1 year interval. By using the real-time candlestick OHLC data, they can visualize data on candlestick charts and build financial products.
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TwitterOur news help to catch the domestic and international market trends quickly. The news cover the following genres; Japan Stocks, Bonds, Currencies, Commodities, Indices, Technical Analysis, Event Schedule, etc
-Delivery Method: QUICK APIs -Historical Data: From Sep.5, 2013 -Pricing Models: Monthly subscription
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TwitterData on petroleum production, imports, inputs, stocks, exports, and prices. Weekly, monthly, and annual data available. Users of the EIA API are required to obtain an API Key via this registration form: http://www.eia.gov/beta/api/register.cfm
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Twitterhttps://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
This dataset contains intraday stock price data for Apple Inc. (AAPL) collected at a 1-minute interval using the Twelve Data API.
The dataset includes Open, High, Low, Close, and Volume (OHLCV) values with precise timestamps based on the NASDAQ exchange (America/New_York timezone). It is suitable for stock market analysis, financial data visualization, algorithmic trading strategies, and machine learning models.
🔹 Features
High-frequency intraday stock market data
Clean and structured CSV format
Time-series data with minute-level granularity
Ideal for:
Data Science & Machine Learning
Stock price prediction
Technical analysis
Trading strategy backtesting
Financial analytics projects
🔹 Columns Column Name Description datetime Timestamp of the data point open Opening price high Highest price low Lowest price close Closing price volume Total traded volume 🔹 Data Source
API Provider: Twelve Data
Stock Exchange: NASDAQ
Ticker Symbol: AAPL
⚠️ This dataset is intended for educational and research purposes only and should not be considered financial advice.
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Twitterhttps://fred.stlouisfed.org/legal/#copyright-pre-approvalhttps://fred.stlouisfed.org/legal/#copyright-pre-approval
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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Twitterhttps://www.kappasignal.com/p/legal-disclaimer.htmlhttps://www.kappasignal.com/p/legal-disclaimer.html
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.
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)
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)
Stock price prediction
Portfolio optimization
Algorithmic trading
Market sentiment analysis
Risk management
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
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
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TwitterState-level data on all energy sources. Data include production, consumption, reserves, stocks, prices, imports, and exports. Data are collated from state-specific data reported elsewhere on the EIA website and are the most recent values available. The system provides data back from 1960. While some SEDS data series come directly from surveys conducted by EIA, many are estimated using other available information. These estimations are necessary for the compilation of "total energy" estimates. Users of the EIA API are required to obtain an API Key via this registration form: http://www.eia.gov/beta/api/register.cfm
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TwitterREST API access in JSON format for funds and ETFs. 100,000 requests/day - €50/month. Historical price data, Morningstar, S&P and Moody ratings, key figures and developments!
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TwitterData on crude oil reserves and production; refining and processing; imports, exports, movements; stocks; prices; and consumption/sales are available in machine-readable format. Users of the EIA API are required to obtain an API Key via this registration form: http://www.eia.gov/beta/api/register.cfm
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TwitterREST API access in JSON format for over 50,000 stocks, ETFs, funds and indices. Historical price data with up to 100 years history of stocks, funds, ETFs, crypto-currencies and bonds from over 50 exchanges (XETRA, Frankfurt Stock Exchange, London, New York) worldwide!