We 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.

• Latest EOD OPRA options prices

Exchange Fees & Requirements:

This package requires no paperwork or exchange fees.

Bronze Benefits:

• Web API access
• 300 API calls/minute limit
• File downloads
• Unlimited internal users
• Unlimited internal & external display
• Built-in ticketing system
• Live chat & email support

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.

• 15-minute delayed OPRA options prices, Greeks & IV
• 15-minute delayed OPRA unusual options activity
• Latest EOD OPRA options prices
• 15-minute delayed equity prices
• Underlying security reference data

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:

• Assistance with OPRA paperwork
• Web API access
• 2,000 API calls/minute limit
• File downloads
• Access to third-party datasets via Intrinio API (additional fees required)
• Unlimited internal users
• Unlimited internal & external display
• Built-in ticketing system
• Live chat & email support
• Concierge customer success team
• Comarketing & promotional initiatives

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.

• Real-time OPRA options prices, Greeks & IV
• Real-time OPRA unusual options activity
• Latest EOD OPRA options prices
• Real-time equity prices
• Underlying security reference data

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:

• Assistance with OPRA paperwork
• Web API access
• 2,000 API calls/minute limit
• WebSocket access (additional fee)
• Customizable access methods (Snowflake, FTP, etc.)
• Access to third-party datasets via Intrinio API (additional fees required)
• Unlimited internal users
• Unlimited internal & external display
• Built-in ticketing system
• Live chat & email support
• Concierge customer success team
• Comarketing & promotional initiatives
• Access to engineering team

Platinum

Don’t see a package that fits your needs? Our team can design a premium custom package for your business.

API 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.

REST API access to fundamental data in JSON format for over 50,000 stocks und ETFs. 100,000 requests/da. Fundamental data, key figures and ISINs for stocks and components and ratings for ETFs from over 50 exchanges (XETRA, Frankfurt Stock Exchange, London, New York) worldwide. DAX 30, Nasdaq 100, EuroStoxx!

This datasets specifies the transaction (Buys,Sells,Awards) done between companies and their employess internally. There is no stock exchange data of the public level . As the dataset is collected through public API provided by rapid API platform .

RapidAPI is a comprehensive platform that functions as the world's largest API Hub, serving as a marketplace and management platform for Application Programming Interfaces (APIs). Its primary purpose is to connect developers (API consumers) with a vast array of APIs provided by various developers and companies (API providers).

***key terms :- ***

**Stock Options **:- A stock option is a type of employee benefit that gives you the right to buy company shares at a fixed price usually lower than the market price after a certain period of time.

Restricted Stock Units (RSUs) :- This are the stock grants provided by the company to employees as an compensation which keeps the motivation of the workers high.

Talking about the quality of the dataset , so i had made some filters to their datatype , representation . the size of the dataset is small around 1300 (toy datasets) especially useful and helpful to perform the beginner friendly Exploratory data analysis. There is no primary key for the dataset we need to create an synthetic one .

Columns:-

1. symbol :- It just only shows the ticker symbol of the company's stock.

2. symbolName :- Full Name of the company corresponding to the ticker.

3. fullName :- Name of the company's insider making the transaction.

4. shortJobTitle:- Position of the insider who is making the stock transaction.

5. transactionType:- Type of the transaction ---- Buy, sell & Award.

6. amount :- Number of shares traded in the transaction

7. reportedPrice:- Current price per share reported for the transaction

8. usdValue :- Total amount in dollars for the current transaction.

9. eodHolding :- Insider’s end-of-day holding after the transaction (number of shares remaining).

10. transactionDate:- Date on which transaction has been done.

11. symbolCode:- Type of security traded (e.g., STK for stock, UIT for unit trust).

12. hasOptions:- Indicates if the insider has stock options (Yes/No).

13. symbolType:- Numeric code representing the type of instrument or classification (often internal or system-defined).

Github Link to source code of data collection through API :- https://github.com/Aryan83699/yahoo-stock-exchange

REST 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!

We 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.

• Historical EOD equity prices & technicals (10 years history)
• Security reference data
• Standardized & as-reported financial statements (5 years history)
• 7 supplementary fundamental data sets

Bronze Benefits:

• Web API access
• 300 API calls/minute limit
• Unlimited internal users
• Unlimited internal & external display
• Built-in ticketing system
• Live chat & email support

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.

• 15-minute delayed & historical intraday equity prices
• Historical EOD equity prices & technicals (full history)
• Security reference data
• Standardized & as-reported financial statements (10 years history)
• 9 supplementary fundamental data sets

Silver Benefits:

• Web API access
• 2,000 API calls/minute limit
• Access to third-party datasets via Intrinio API (additional fees required)
• Unlimited internal users
• Unlimited internal & external display
• Built-in ticketing system
• Live chat & email support

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.

• Real-time equity prices
• Historical intraday equity prices
• Historical EOD equity prices & technicals (full history)
• Security reference data
• Standardized & as-reported financial statements (full history)
• 9 supplementary fundamental data sets

Gold Benefits:

• No exchange fees
• No user reporting or variable per-user exchange fees
• High liquidity (6%+)
• Web API & WebSocket access
• 2,000 API calls/minute limit
• Customizable access methods (Snowflake, FTP, etc.)
• Access to third-party datasets via Intrinio API (additional fees required)
• Unlimited internal users
• Unlimited internal & external display
• Built-in ticketing system
• Live chat & email support
• Access to engineering team
• Concierge customer success team
• Comarketing & promotional initiatives

Platinum

Don’t see a package that fits your needs? Our team can design premium custom packages for institutions.

REST 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!

Context

Stock market data can be interesting to analyze and as a further incentive, strong predictive models can have large financial payoff. The amount of financial data on the web is seemingly endless. A large and well structured dataset on a wide array of companies can be hard to come by. Here I provide a dataset with historical stock prices (last 5 years) for all companies currently found on the S&P 500 index.

The script I used to acquire all of these .csv files can be found in this GitHub repository In the future if you wish for a more up to date dataset, this can be used to acquire new versions of the .csv files.

Feb 2018 note: I have just updated the dataset to include data up to Feb 2018. I have also accounted for changes in the stocks on the S&P 500 index (RIP whole foods etc. etc.).

Content

The data is presented in a couple of formats to suit different individual's needs or computational limitations. I have included files containing 5 years of stock data (in the all_stocks_5yr.csv and corresponding folder).

The folder individual_stocks_5yr contains files of data for individual stocks, labelled by their stock ticker name. The all_stocks_5yr.csv contains the same data, presented in a merged .csv file. Depending on the intended use (graphing, modelling etc.) the user may prefer one of these given formats.

All the files have the following columns: Date - in format: yy-mm-dd

Open - price of the stock at market open (this is NYSE data so all in USD)

High - Highest price reached in the day

Low Close - Lowest price reached in the day

Volume - Number of shares traded

Name - the stock's ticker name

Acknowledgements

Due to volatility in google finance, for the newest version I have switched over to acquiring the data from The Investor's Exchange api, the simple script I use to do this is found here. Special thanks to Kaggle, Github, pandas_datareader and The Market.

Inspiration

This dataset lends itself to a some very interesting visualizations. One can look at simple things like how prices change over time, graph an compare multiple stocks at once, or generate and graph new metrics from the data provided. From these data informative stock stats such as volatility and moving averages can be easily calculated. The million dollar question is: can you develop a model that can beat the market and allow you to make statistically informed trades!

REST 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!

The 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.

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.

EDI's history of corporate action events dates back to January 2007 and uses unique Security IDs that can track the history of events by issuer since January 2007.

Choose to receive accurate corporate actions data via an SFTP connection either 4x daily or end-of-day. Proprietary format. ISO 15022 message standard, providing MT564 & 568 announcements.

To support global trading schedules, EDI offers seven daily data feeds at 03:30, 07:00, 09:00, 11:00, 13:00, 15:00, and 17:15 GMT, ensuring continuous access to accurate, market-aligned data.

AXISBANK OHLCV Data: Multi-Interval Historical Stock Prices (NSE)

Overview

This dataset provides comprehensive historical Open, High, Low, Close, and Volume (OHLCV) data for Axis Bank (AXISBANK), a prominent Indian stock listed on the National Stock Exchange (NSE). The data has been consolidated from various time intervals (1-minute, 5-minute, 15-minute, and 1-day), offering a granular yet unified view for diverse analytical needs, from high-frequency trading simulations to long-term trend analysis.

Data Source

The raw data was collected programmatically using the Groww API. The specific API endpoint used for fetching charting data is: https://groww.in/v1/api/charting_service/v4/chart/exchange/NSE/segment/CASH. While efforts have been made during data fetching and consolidation to ensure accuracy, please be aware that financial data can sometimes be subject to minor corrections or revisions by data providers.

Dataset Contents

This dataset is provided as a single, unified CSV file (e.g., unified_axisbank_ohlcv_data.csv), which has been consolidated from multiple JSON files representing different time intervals (1m, 5m, 15m, 1d).

The unified CSV file contains the following columns:

• Symbol: The stock ticker symbol (AXISBANK).
• Interval: The original time interval of the candle (1m, 5m, 15m, 1d).
• DateTime: The human-readable timestamp of the candle (derived from Unix Timestamp, e.g., YYYY-MM-DD HH:MM:SS).
• Open: The opening price of the stock during that interval.
• High: The highest price reached during that interval.
• Low: The lowest price reached during that interval.
• Close: The closing price of the stock during that interval.
• Volume: The trading volume (number of shares traded) during that interval.
• Timestamp: The raw Unix timestamp.

Overall Date Range and Record Count: The exact historical date range and total number of records for the complete dataset depend on the full content and consolidation process of the original JSON files. Your conversion script will provide the precise earliest and latest dates, as well as the total number of records in this unified CSV file. Based on the original file snippets, the data appears to span from at least mid-2022 into mid-2025.

Potential Use Cases

This dataset can be highly valuable for various applications in quantitative finance and data science, including: * Algorithmic Trading Strategy Development: Backtesting and optimizing trading strategies across different timeframes for AXISBANK. * Technical Analysis: Generating charts, calculating technical indicators (e.g., Moving Averages, RSI, MACD, Bollinger Bands) specific to AXISBANK. * Machine Learning for Price Prediction: Training models to forecast future stock prices, trends, or volatility for AXISBANK. * Market Trend Analysis: Studying short-term and long-term market behavior, liquidity, and price action of Axis Bank. * Educational Purposes: A clean, multi-interval dataset ideal for learning and practicing data analysis with financial time series.

Disclaimer

This dataset is provided for informational and educational purposes only. It should not be considered financial advice, investment recommendations, or a solicitation to buy or sell any securities. Trading and investing in financial markets involve significant risk, and past performance is not indicative of future results. Always conduct your own thorough research and consult with a qualified financial advisor before making any investment decisions. The creators of this dataset are not liable for any losses incurred from its use.

Context

We couldn’t find a data source for the historical prices of the Swiss Stock Exchange, also known as SIX. www.alphavantage.co is a free of charge API which we used to extract the data (daily figures) from finance.yahoo.com We set the start date as max (to go in the past as far as possible), some shares go back to the year 1990, and the youngest one is 2001. We got the data of the biggest 30 equities in the SIX, including the SMI. For more information: https://en.wikipedia.org/wiki/Swiss_Market_Index https://www.six-group.com/en/products-services/the-swiss-stock-exchange/market-data/shares/share-explorer.html

A comprehensive dataset for quantitative research and algotrading containing extensive market data, including candlesticks, trades and orders statistics, order books snapshots for a period from 2022-07-01 until 2025-01-01. The data scrapped via Moscow Exchange API containing data about 260 companies listed on the exchange.

This API is providing the outstanding amount of Exchange Fund Bills and Notes as at remaining tenor.

New York Stock Exchange Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

Your feedback, including upvotes, helps improve data resources for the community

ICICIBANK OHLCV Data: Multi-Interval Historical Stock Prices (NSE)

Overview

This dataset provides comprehensive historical Open, High, Low, Close, and Volume (OHLCV) data for ICICI Bank (ICICIBANK), a prominent Indian stock listed on the National Stock Exchange (NSE). The data has been consolidated from various time intervals (1-minute, 5-minute, 15-minute, and 1-day), offering a granular yet unified view for diverse analytical needs, from high-frequency trading simulations to long-term trend analysis.

Data Source

The raw data was collected programmatically using the Groww API. The specific API endpoint used for fetching charting data is: https://groww.in/v1/api/charting_service/v4/chart/exchange/NSE/segment/CASH. While efforts have been made during data fetching and consolidation to ensure accuracy, please be aware that financial data can sometimes be subject to minor corrections or revisions by data providers.

Dataset Contents

This dataset is provided as a single, unified CSV file (e.g., unified_icicibank_ohlcv_data.csv), which has been consolidated from multiple original JSON files representing different time intervals (1m, 5m, 15m, 1d).

The unified CSV file contains the following columns:

• timestamp: The human-readable timestamp of the candle, precisely parsed to the second.
• open: The opening price of the stock during that interval.
• high: The highest price reached during that interval.
• low: The lowest price reached during that interval.
• close: The closing price of the stock during that interval.
• volume: The trading volume (number of shares traded) during that interval.

The dataset covers a substantial historical period, and the total number of records will be the sum of records from each interval file.

Potential Use Cases

This dataset can be highly valuable for various applications in quantitative finance and data science, including: * Algorithmic Trading Strategy Development: Backtesting and optimizing trading strategies across different timeframes for ICICIBANK. * Technical Analysis: Generating charts, calculating technical indicators (e.g., Moving Averages, RSI, MACD, Bollinger Bands) specific to ICICIBANK. * Machine Learning for Price Prediction: Training models to forecast future stock prices, trends, or volatility for ICICIBANK. * Market Trend Analysis: Studying short-term and long-term market behavior, liquidity, and price action of ICICI Bank. * Educational Purposes: A clean, multi-interval dataset ideal for learning and practicing data analysis with financial time series.

Disclaimer

This dataset is provided for informational and educational purposes only. It should not be considered financial advice, investment recommendations, or a solicitation to buy or sell any securities. Trading and investing in financial markets involve significant risk, and past performance is not indicative of future results. Always conduct your own thorough research and consult with a qualified financial advisor before making any investment decisions. The creators of this dataset are not liable for any losses incurred from its use.

Eximpedia Export import trade data lets you search trade data and active Exporters, Importers, Buyers, Suppliers, manufacturers exporters from over 209 countries

Eximpedia Export import trade data lets you search trade data and active Exporters, Importers, Buyers, Suppliers, manufacturers exporters from over 209 countries