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Finnhub 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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TwitterREST API access to delayed live quotes for over 50,000 stocks, ETFs, funds and indices. 100,000 requests/day - €50/month. 15 minutes delayed quotes from over 50 exchanges (XETRA, Frankfurt Stock Exchange, London, New York, and many more) 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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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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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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TwitterAPI Overview The Indian Stock Exchange API provides detailed financial data for companies listed on the Bombay Stock Exchange (BSE) and National Stock Exchange (NSE), empowering users with comprehensive insights into the dynamic Indian stock market. This powerful API allows investors, financial analysts, and developers to access a wealth of information essential for making informed investment decisions and conducting thorough research.
Check out our Indian API Marketplace here: https://indianapi.in/
Unlock the potential of the Indian stock market with Indian Stock Exchange API's extensive features, including:
Company Profiles: Dive deep into the profiles of Indian companies, gaining valuable insights into their background, history, and industry presence. Stock Prices: Stay up-to-date with real-time stock prices for both BSE and NSE listings, ensuring you never miss a market movement. Technical Data: Access detailed technical analysis data for Indian stocks, enabling you to assess performance and trends with precision. Financials: Explore financial statements and data for Indian companies, including income statements, balance sheets, and cash flow statements. Key Metrics: Evaluate key financial ratios and metrics specific to the Indian stock market, such as profitability, liquidity, and solvency. Analyst Views: Stay informed with expert analyst views and recommendations tailored to Indian stocks, helping you understand market sentiment and investment opportunities. Shareholding Patterns: Gain insights into shareholding patterns of Indian companies, including institutional holdings, promoter holdings, and public shareholding structures. Corporate Actions: Track corporate actions such as dividends, stock splits, mergers, and acquisitions in the Indian market, staying informed about events that may impact stock prices. Recent News: Access the latest news articles related to Indian companies, industries, and market developments, ensuring you're always in the know. mail: contact@indianapi.in
We also offer custom endpoints and a dedicated server for your needs!
The Indian Stock Exchange API provides detailed financial data for companies listed on the BSE and NSE. This API allows users to retrieve company profiles, stock prices, technical data, financials, key metrics, analyst views, shareholding patterns, corporate actions, and recent news.
Indian Stock Exchange API Documentation Welcome to the Indian Stock Exchange API! This API is built with FastAPI to provide real-time stock market data. Below, you will find detailed descriptions of the available endpoints, their methods, required parameters, and usage examples.
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TwitterThe OpenWeb Ninja Real-Time Finance Data API offers a fast, reliable, and comprehensive real-time finance data - stocks, indices, ETF, timelines, currency, company income statement, cash flow, stock news, and more data. The API sources finance data from Google Finance (https://finance.google.com) and additional sources.
The API is an unofficial Google Finance REST interface providing stocks / market quotes and market trends, international exchanges / forex, crypto, up-to-date financial news, company fundamentals and analytics to help you make more informed trading and investment decisions.
For more information and notes about the freshness of the data - see the Google Finance disclaimer: https://www.google.com/googlefinance/disclaimer.
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TwitterPowerMap can infer the subject of trading volume in real-time. This information allows users to predict the order flow by investor type of institutional, foreign, and retail traders. By implementing Direct Market Access (DMA) and High-Frequency Trading (HFT) technology, PowerMap processes and delivers large-scale transactions in real time for the Korean market. Processing high volumes of stock transactions instantly requires robust data processing capabilities. PowerMap receives direct trade data from KRX and analyzes buy and sell signals for approximately 1,000 stocks in real time, covering KOSPI stocks with a market cap over 200 billion KRW ($133.38 million) and KOSDAQ stocks over 150 billion KRW ($103.81 million).
Key Features: 💠 Real-time investor type classification (institutional, and foreign institutional) 💠 Low-latency data ingestion 💠 Coverage of over 1,200 liquid KOSPI and KOSDAQ stocks 💠 Instantaneous detection of large-block trades and directional flow 💠 Scalable architecture for high-volume transaction analysis
Primary Use Cases: 🔹 Institutional and proprietary traders monitoring market sentiment shifts 🔹 Quant desks identifying real-time trade triggers and flow-based signals 🔹 Algo developers incorporating investor-type flow into trading strategies 🔹 Broker-dealers and research teams analyzing intraday market dynamics 🔹 Portfolio managers assessing liquidity and participation trends
Contact us for a real time order flow data in different markets. Stay ahead with TradePulse's order flow insights.
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TwitterThe ETF Holdings API provides data on small-cap, mid-cap and large-cap ETFs. When you choose the group of ETFs you want to obtain data on, you can select their stock ticker symbols as a filtering parameter, so that Tradefeeds systems provides you with the desired data. The ETF data collected in Tradefeeds ETF Holdings Database is sourced from reliable partners in the financial industry: investments funds, brokerages and financial advisors. You can get current and historical ETF holdings data in a JSON format or excel and CSV file.
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| BASE YEAR | 2024 |
| HISTORICAL DATA | 2019 - 2023 |
| REGIONS COVERED | North America, Europe, APAC, South America, MEA |
| REPORT COVERAGE | Revenue Forecast, Competitive Landscape, Growth Factors, and Trends |
| MARKET SIZE 2024 | 3.31(USD Billion) |
| MARKET SIZE 2025 | 3.66(USD Billion) |
| MARKET SIZE 2035 | 10.0(USD Billion) |
| SEGMENTS COVERED | Type, Deployment Mode, Subscription Model, End User, Regional |
| COUNTRIES COVERED | US, Canada, Germany, UK, France, Russia, Italy, Spain, Rest of Europe, China, India, Japan, South Korea, Malaysia, Thailand, Indonesia, Rest of APAC, Brazil, Mexico, Argentina, Rest of South America, GCC, South Africa, Rest of MEA |
| KEY MARKET DYNAMICS | Increasing demand for real-time data, Growth of fintech applications, Expansion of algorithmic trading, Rising adoption of APIs by developers, Need for enhanced market analytics |
| MARKET FORECAST UNITS | USD Billion |
| KEY COMPANIES PROFILED | Polygon, Interactive Data, Alpha Vantage, Yahoo Finance, Tradier, Xignite, IEX Cloud, CoinAPI, Quandl, Bloomberg, Morningstar, Tiingo, FactSet, S&P Global, Refinitiv |
| MARKET FORECAST PERIOD | 2025 - 2035 |
| KEY MARKET OPPORTUNITIES | Expanding fintech innovations, Increased demand for automated trading, Rise in mobile investment apps, Integration with AI analytics, Growing focus on real-time data access |
| COMPOUND ANNUAL GROWTH RATE (CAGR) | 10.6% (2025 - 2035) |
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This dataset contains historical stock price data for Alibaba Group (NYSE: BABA), extracted using the Yahoo Finance API (yfinance). The data spans from 2014 to 2025, capturing Alibaba's stock performance over a decade, including key financial metrics such as opening and closing prices, highest and lowest trading values, volume, and adjusted closing price.
This dataset is valuable for:
✅ Time Series Analysis (predicting future trends using machine learning)
✅ Technical Analysis (identifying trading opportunities based on past patterns)
✅ Algorithmic Trading (building automated trading models)
✅ EDA & Visualization (analyzing stock price movements)
| Column Name | Description |
|---|---|
| 🗓 Date | The trading date (YYYY-MM-DD) |
| 💰 Open | The stock price at market open |
| 📉 High | The highest stock price of the day |
| 📈 Low | The lowest stock price of the day |
| 💵 Close | The stock price at market close |
| 🔄 Adj Close | The adjusted closing price after splits and dividends |
| 📊 Volume | The number of shares traded |
This dataset was obtained using the Yahoo Finance API (yfinance), a powerful Python library for extracting real-time and historical stock market data.
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TwitterUtradea was founded on the idea that everyone should have access to quality investment ideas and insights. Finding investment ideas shouldn’t be a struggle and Utradea addressed this need by building a platform to cut through the noise and provide everyone with actionable investment ideas and informed discussions.
Utradea’s Social Sentiment data allows investors to identify, follow, and take advantage of trending stocks and cryptocurrencies across Twitter, StockTwits, and Reddit. The ‘Sentiment’ API contains data points such as posts, comments, likes, upvotes, and impressions for stocks and cryptocurrencies discussed on these popular social platforms. Data is sourced and presented in 15min, 30min, 1hr, 4hr, 12hr, and 24hr time intervals over a 24hr or 72hr period. The change in posts, comments, and impressions over the selected time period is allowed to provide, allow for quick identification of trending stocks or cryptocurrencies. A real-time feed and linking of Tweets, Reddit Posts, and StockTwits posts allows for further analysis and validation of social trends.
The ability to track real-time sentiment for stocks and cryptocurrency is a powerful data point in today’s investment landscape. The impact that social sentiment form retail investors in the markets is significant, and the social sentiment allows you to track this in real-time
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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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API Crude Oil Stock Change in the United States decreased to -2.48 BBL/1Million in November 28 from -1.90 BBL/1Million in the previous week. This dataset provides - United States API Crude Oil Stock Change- actual values, historical data, forecast, chart, statistics, economic calendar and news.
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Facebook is an American online social media and social networking service owned by Facebook, Inc.
Founded in 2004 by Mark Zuckerberg with fellow Harvard College students and roommates Eduardo Saverin, Andrew McCollum, Dustin Moskovitz, and Chris Hughes, its name comes from the face book directories often given to American university students. Membership was initially limited to Harvard students, gradually expanding to other North American universities and, since 2006, anyone over 13 years old. As of 2020, Facebook claimed 2.8 billion monthly active users, and ranked seventh in global internet usage. It was the most downloaded mobile app of the 2010s.
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TwitterAccess Live Stock export import data including profitable buyers and suppliers with details like HSN code, Price, Quantity.
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IBM Intraday Stock Price Data (5-Minute Intervals) This dataset provides comprehensive intraday trading data for IBM stock at 5-minute intervals, capturing essential price and volume metrics for each trading session. It is ideal for short-term trading analysis, pattern recognition, and intraday trend forecasting.
Dataset Overview Each row in the dataset represents IBM's stock information for a specific 5-minute interval, including:
Timestamp: The exact time (Eastern Time) for each data entry. Open: The stock price at the beginning of the interval. High: The highest price within the interval. Low: The lowest price within the interval. Close: The stock price at the end of the interval. Volume: The number of shares traded within the interval. Potential Uses This dataset is well-suited for various financial and quantitative analysis projects, such as:
Volume and Price Movement Analysis: Identify periods with unusually high trading volume and investigate if they correspond with significant price changes or market events. Intraday Trend Analysis: Observe trends by plotting the closing prices over time to spot patterns in stock performance during a single trading day or across multiple days. Volatility Detection: Track intervals with a high difference between the high and low prices to detect periods of increased price volatility. Time-Series Forecasting: Use machine learning models to predict price movements based on historical intraday data and patterns. Example Analysis Ideas Visualize Price Movements: Plot open, high, low, and close prices over time to get a clear view of price trends and fluctuations. Analyze Volume Spikes: Find and investigate timestamps with high trading volume, which might indicate significant market activity. Apply Machine Learning: Use techniques such as LSTM, ARIMA, or other time-series forecasting models to predict short-term price movements. This dataset is especially valuable for traders, quantitative analysts, and developers building financial models or applications that require real-time market insights.
About the Data This dataset was obtained via the Alpha Vantage API, using their TIME_SERIES_INTRADAY function. The data here represents IBM's intraday stock price movements on November 11, 2024, at 5-minute intervals.
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TwitterMealMe offers in-depth restaurant menu data, including prices, from the top 100,000 restaurants across the USA and Canada. Our proprietary technology collects accurate, real-time menu and pricing information, enabling businesses to make data-driven decisions in competitive intelligence, pricing optimization, and market research. With comprehensive coverage that spans major restaurant platforms and chains, MealMe ensures your business has access to the most reliable data to excel in a rapidly evolving industry.
Platforms and Restaurants Covered: MealMe's database includes data from leading restaurant platforms such as UberEats, Postmates, ToastTakeout, SkipTheDishes, Square, Appfront, Olo, TouchBistro, and Clover, as well as direct menu data from major restaurant chains including Raising Cane’s, Panda Express, Popeyes, Burger King, and Subway. This extensive coverage ensures a detailed view of the market, helping businesses monitor trends, pricing, and availability across a broad spectrum of restaurant types and sizes.
Key Features: Comprehensive Menu Data: Access detailed menu information, including item descriptions, categories, sizes, and customizations. Real-Time Pricing: Monitor up-to-date menu prices for accurate competitive analysis. Restaurant-Specific Insights: Analyze individual restaurant chains such as Raising Cane’s and Panda Express, or platforms like UberEats, for market trends and pricing strategies. Cross-Platform Analysis: Compare menu items and pricing across platforms like ToastTakeout, Olo, and SkipTheDishes for a holistic industry view. Regional Data: Understand geographic variations in menu offerings and pricing across the USA and Canada.
Use Cases: Competitive Intelligence: Track menu offerings, pricing strategies, and seasonal trends across platforms like UberEats and Postmates or chains like Popeyes and Subway. Market Research: Identify gaps in the market by analyzing menus and pricing from top restaurants. Pricing Optimization: Use real-time pricing data to inform dynamic pricing strategies and promotions. Trend Monitoring: Stay ahead by tracking popular menu items, regional preferences, and emerging food trends. Platform Analysis: Assess how restaurants perform across delivery platforms such as SkipTheDishes, Olo, and Square. Industries Benefiting from Our Data Restaurant Chains: Optimize menu offerings and pricing strategies with detailed competitor data. Food Delivery Platforms: Benchmark menu pricing and availability across competitive platforms. Market Research Firms: Conduct detailed analyses to identify opportunities and market trends. AI & Analytics Companies: Power recommendation engines and predictive models with robust menu data. Consumer Apps: Enhance app experiences with accurate menu and pricing data. Data Delivery and Integration
MealMe offers flexible integration options to ensure seamless access to our comprehensive menu data. Whether you need bulk exports for in-depth research or real-time updates via API, our solutions are designed to scale with your business needs.
Why Choose MealMe? Extensive Coverage: Menu data from 100,000+ restaurants, including major chains like Burger King and Raising Cane’s. Real-Time Accuracy: Up-to-date pricing and menu details for actionable insights. Customizable Solutions: Tailored datasets to meet your specific business objectives. Proven Expertise: Trusted by top companies for delivering reliable, actionable data. MealMe empowers businesses with the data needed to thrive in a competitive restaurant and food delivery market. For more information or to request a demo, contact us today!
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According to our latest research, the global Stock Option Tracker App market size reached USD 1.32 billion in 2024, reflecting robust growth driven by increasing demand for real-time trading solutions and sophisticated portfolio management tools. The market is expected to register a CAGR of 13.4% during the forecast period, propelling the market to a projected value of USD 4.13 billion by 2033. Growth in this sector is fueled by the rising participation of retail investors, advancements in mobile technology, and the proliferation of data-driven investment platforms.
One of the primary growth factors for the Stock Option Tracker App market is the democratization of trading and investment activities among individual investors. The easy availability of smartphones and affordable internet access has empowered a new generation of investors to actively participate in options trading. These users demand intuitive, user-friendly applications that provide real-time data, customizable alerts, and advanced analytics. As a result, app developers are focusing on enhancing user experience, integrating AI-powered insights, and offering seamless connectivity with brokerage accounts. The ability to monitor, analyze, and act on stock options in real-time has become a critical need, fueling sustained demand for advanced tracker apps.
Another significant driver is the increasing reliance of financial advisors and institutional investors on digital platforms for portfolio management and risk assessment. The complexity of modern financial instruments, coupled with volatile market conditions, necessitates advanced tools that can deliver comprehensive analytics, scenario simulations, and automated reporting. Stock option tracker apps are evolving to cater to these professional segments by integrating multi-asset tracking, regulatory compliance features, and API connectivity with enterprise systems. This trend is particularly pronounced in regions with mature financial markets, where institutional participation and regulatory scrutiny are high, driving the need for robust, scalable, and secure solutions.
Technological innovation remains at the heart of growth for the Stock Option Tracker App market. The integration of artificial intelligence, machine learning algorithms, and big data analytics has revolutionized the capabilities of these apps. Features such as predictive analytics, sentiment analysis, and automated trade execution are no longer limited to high-end platforms but are increasingly accessible to retail users. Additionally, the shift towards cloud-based deployment and the adoption of cross-platform frameworks have enabled developers to deliver consistent, high-performance experiences across iOS, Android, and web-based interfaces. This technological evolution not only enhances user engagement but also ensures scalability and security, which are vital for market expansion.
The role of Online Brokerage platforms has become increasingly significant in the Stock Option Tracker App market. These platforms provide the necessary infrastructure for users to execute trades, manage portfolios, and access a wide range of financial instruments. As the demand for seamless integration between tracker apps and brokerage services grows, developers are focusing on creating APIs and partnerships that enhance user experience. Online Brokerage services offer users the convenience of managing their investments from a single interface, which is crucial for both novice and experienced traders. This integration not only simplifies the trading process but also ensures that users have access to real-time data and analytics, further driving the adoption of stock option tracker apps.
From a regional perspective, North America continues to dominate the Stock Option Tracker App market, accounting for the largest revenue share in 2024. This dominance is attributed to the high penetration of smartphones, a mature financial ecosystem, and the presence of several leading fintech companies. However, Asia Pacific is emerging as a lucrative market, driven by rapid digitalization, increasing financial literacy, and a surge in retail investment activities. Europe also presents significant growth opportunities, particularly in markets with strong regulatory frameworks and high adoption rates of digital financial services.
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TwitterGlobal company coverage for over 60,000 companies.
ESG Analytics's context aware algorithms scan the world for a diversified set of sources to find events that are relevant company ESG Analysis.
Companies and tickers are matched to the data.
Sentiment Analysis allows a range of -1 (negative) to +1 (positive) to determine impact.
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Finnhub 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.