64 datasets found
  1. o

    Free Data

    • optiondata.org
    Updated Sep 3, 2022
    + more versions
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    (2022). Free Data [Dataset]. https://optiondata.org/
    Explore at:
    Dataset updated
    Sep 3, 2022
    License

    https://optiondata.org/about.htmlhttps://optiondata.org/about.html

    Time period covered
    Jan 1, 2013 - Jun 30, 2013
    Description

    Free historical options data, dataset files in CSV format.

  2. Options Price Reporting Authority

    • lseg.com
    Updated Aug 19, 2025
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    LSEG (2025). Options Price Reporting Authority [Dataset]. https://www.lseg.com/en/data-analytics/financial-data/pricing-and-market-data/options-data/options-price-reporting-authority
    Explore at:
    csv,delimited,gzip,html,json,pcap,pdf,parquet,python,sql,string format,text,user interface,xml,zip archiveAvailable download formats
    Dataset updated
    Aug 19, 2025
    Dataset provided by
    London Stock Exchange Grouphttp://www.londonstockexchangegroup.com/
    Authors
    LSEG
    License

    https://www.lseg.com/en/policies/website-disclaimerhttps://www.lseg.com/en/policies/website-disclaimer

    Description

    Explore Options Price Reporting Authority (OPRA) through LSEG. OPRA collects, consolidates and disseminates information for US Options.

  3. US Equities Packages - Stock Prices & Fundamentals

    • datarade.ai
    Updated Dec 26, 2021
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    Intrinio (2021). US Equities Packages - Stock Prices & Fundamentals [Dataset]. https://datarade.ai/data-products/us-equities-packages-stock-prices-fundamentals-intrinio
    Explore at:
    Dataset updated
    Dec 26, 2021
    Dataset authored and provided by
    Intrinio
    Area covered
    United States
    Description

    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.

  4. T

    FX Options Market Data

    • traditiondata.com
    • staging.traditiondata.com
    csv, pdf
    Updated Feb 8, 2023
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    TraditionData (2023). FX Options Market Data [Dataset]. https://www.traditiondata.com/products/fx-options/
    Explore at:
    csv, pdfAvailable download formats
    Dataset updated
    Feb 8, 2023
    Dataset authored and provided by
    TraditionData
    License

    https://www.traditiondata.com/terms-conditions/https://www.traditiondata.com/terms-conditions/

    Description

    TraditionData’s FX Options Market Data service provides comprehensive information on FX options markets, leveraging the Volbroker platform for transparency and efficiency.

    • Offers real-time volatility price transparency in ATM Straddles, Delta Risk Reversals, and Butterflies.
    • Suitable for traders, risk managers, or portfolio managers managing currency risk and maximizing returns.

    Visit FX Options Market Data for more information.

  5. T

    Corn - Price Data

    • tradingeconomics.com
    • pl.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Sep 26, 2025
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    TRADING ECONOMICS (2025). Corn - Price Data [Dataset]. https://tradingeconomics.com/commodity/corn
    Explore at:
    json, excel, csv, xmlAvailable download formats
    Dataset updated
    Sep 26, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    May 1, 1912 - Sep 26, 2025
    Area covered
    World
    Description

    Corn fell to 421.50 USd/BU on September 26, 2025, down 1.00% from the previous day. Over the past month, Corn's price has risen 10.20%, and is up 0.84% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Corn - values, historical data, forecasts and news - updated on September of 2025.

  6. Economy Data Package

    • johnsnowlabs.com
    csv
    Updated Jan 20, 2021
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    John Snow Labs (2021). Economy Data Package [Dataset]. https://www.johnsnowlabs.com/marketplace/economy-data-package/
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jan 20, 2021
    Dataset authored and provided by
    John Snow Labs
    Description

    This data package contains all the information related to the economy of a country including price index, commodities values and info about NASDAQ members.

  7. T

    Option Care Health | BIOS - Stock Price | Live Quote | Historical Chart

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Dec 14, 2015
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    TRADING ECONOMICS (2015). Option Care Health | BIOS - Stock Price | Live Quote | Historical Chart [Dataset]. https://tradingeconomics.com/bios:us
    Explore at:
    xml, json, excel, csvAvailable download formats
    Dataset updated
    Dec 14, 2015
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2000 - Sep 28, 2025
    Area covered
    United States
    Description

    Option Care Health stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

  8. d

    Historical Futures Trade and Quote Data (Europe, China, USA & Canada...

    • datarade.ai
    Updated May 1, 2021
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    Olsen Data (2021). Historical Futures Trade and Quote Data (Europe, China, USA & Canada covered)⎢Olsen Data [Dataset]. https://datarade.ai/data-products/historical-futures-trade-and-quote-data-olsen-data
    Explore at:
    Dataset updated
    May 1, 2021
    Dataset provided by
    Olsen Ltd.
    Authors
    Olsen Data
    Area covered
    Japan, China, Canada, United Kingdom, France, United States
    Description

    Futures data can be ordered as full month ranges. To control costs it is possible to order Nearest to Expiry (NTE) data with overlap between expiring future and the next future in the month of expiry or with overlap over more than 1 month is needed. Of course you can also select all active expiries if required.

    The data is available at tick level with millisecond resolution as well as at regular intervals of 1 Min, 5 Min and so on.

    Data is priced separately for Trades (Tx) and Quotes (Qt).

    Tick level Tx data consists of a millisecond timestamp and trade price Tx with an option to include the Volume field. Tick level Qt data consists of millisecond timestamp and quote Qt with a flag to indicate whether it is a Bid or an Ask and optionally the Qt size field can be added.

    Regular interval data is usually supplied as one of these sets: CloseTx CloseBid, CloseAsk OpenTx, HighTx, LowTx, CloseTx OpenBid, HighBid, LowBid, CloseBid OpenAsk, HighAsk, LowAsk, CloseAsk

    Additional Fields: IntervalTxVolume, CloseBidSize, CloseAskSize and some others are available if required.

    Timestamps are by default in GMT but data can be in any Time Zone requested.

    Pricing depends on frequency and number of fields.

    100s of papers in finance and economics have been written since 1986 onwards using our data and several reputed banks and hedge funds use our data for back testing and risk management.

  9. F

    CBOE Volatility Index: VIX

    • fred.stlouisfed.org
    json
    Updated Sep 26, 2025
    + more versions
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    (2025). CBOE Volatility Index: VIX [Dataset]. https://fred.stlouisfed.org/series/VIXCLS
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 26, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Description

    Graph and download economic data for CBOE Volatility Index: VIX (VIXCLS) from 1990-01-02 to 2025-09-25 about VIX, volatility, stock market, and USA.

  10. 34-year Daily Stock Data (1990-2024)

    • kaggle.com
    Updated Dec 10, 2024
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    Shivesh Prakash (2024). 34-year Daily Stock Data (1990-2024) [Dataset]. https://www.kaggle.com/datasets/shiveshprakash/34-year-daily-stock-data
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 10, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Shivesh Prakash
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    Dataset Description: 34-year Daily Stock Data (1990-2024)

    Context and Inspiration

    This dataset captures historical financial market data and macroeconomic indicators spanning over three decades, from 1990 onwards. It is designed for financial analysis, time series forecasting, and exploring relationships between market volatility, stock indices, and macroeconomic factors. This dataset is particularly relevant for researchers, data scientists, and enthusiasts interested in studying: - Volatility forecasting (VIX) - Stock market trends (S&P 500, DJIA, HSI) - Macroeconomic influences on markets (joblessness, interest rates, etc.) - The effect of geopolitical and economic uncertainty (EPU, GPRD)

    Sources

    The data has been aggregated from a mix of historical financial records and publicly available macroeconomic datasets: - VIX (Volatility Index): Chicago Board Options Exchange (CBOE). - Stock Indices (S&P 500, DJIA, HSI): Yahoo Finance and historical financial databases. - Volume Data: Extracted from official exchange reports. - Macroeconomic Indicators: Bureau of Economic Analysis (BEA), Federal Reserve, and other public records. - Uncertainty Metrics (EPU, GPRD): Economic Policy Uncertainty Index and Global Policy Uncertainty Database.

    Columns

    1. dt: Date of observation in YYYY-MM-DD format.
    2. vix: VIX (Volatility Index), a measure of expected market volatility.
    3. sp500: S&P 500 index value, a benchmark of the U.S. stock market.
    4. sp500_volume: Daily trading volume for the S&P 500.
    5. djia: Dow Jones Industrial Average (DJIA), another key U.S. market index.
    6. djia_volume: Daily trading volume for the DJIA.
    7. hsi: Hang Seng Index, representing the Hong Kong stock market.
    8. ads: Aruoba-Diebold-Scotti (ADS) Business Conditions Index, reflecting U.S. economic activity.
    9. us3m: U.S. Treasury 3-month bond yield, a short-term interest rate proxy.
    10. joblessness: U.S. unemployment rate, reported as quartiles (1 represents lowest quartile and so on).
    11. epu: Economic Policy Uncertainty Index, quantifying policy-related economic uncertainty.
    12. GPRD: Geopolitical Risk Index (Daily), measuring geopolitical risk levels.
    13. prev_day: Previous day’s S&P 500 closing value, added for lag-based time series analysis.

    Key Features

    • Cross-Market Analysis: Compare U.S. markets (S&P 500, DJIA) with international benchmarks like HSI.
    • Macroeconomic Insights: Assess how external factors like joblessness, interest rates, and economic uncertainty affect markets.
    • Temporal Scope: Longitudinal data facilitates trend analysis and machine learning model training.

    Potential Use Cases

    • Forecasting market indices using machine learning or statistical models.
    • Building volatility trading strategies with VIX Futures.
    • Economic research on relationships between policy uncertainty and market behavior.
    • Educational material for financial data visualization and analysis tutorials.

    Feel free to use this dataset for academic, research, or personal projects.

  11. m

    ETC 6 Meridian Hedged Equity-Index Option Strategy ETF - Price Series

    • macro-rankings.com
    csv, excel
    Updated Feb 25, 2020
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    macro-rankings (2020). ETC 6 Meridian Hedged Equity-Index Option Strategy ETF - Price Series [Dataset]. https://www.macro-rankings.com/Markets/ETFs/SIXH-US
    Explore at:
    excel, csvAvailable download formats
    Dataset updated
    Feb 25, 2020
    Dataset authored and provided by
    macro-rankings
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    united states
    Description

    Index Time Series for ETC 6 Meridian Hedged Equity-Index Option Strategy ETF. The frequency of the observation is daily. Moving average series are also typically included. Under normal circumstances, the fund invests at least 80% of its net assets (plus the amount of any borrowings for investment purposes) in equity securities. The equity securities in which it invests are mainly common stocks. The fund may invest in equity securities of companies of any capitalization. It is non-diversified.

  12. T

    Option Care Health | BIOS - PE Price to Earnings

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 15, 2025
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    TRADING ECONOMICS (2025). Option Care Health | BIOS - PE Price to Earnings [Dataset]. https://tradingeconomics.com/bios:us:pe
    Explore at:
    json, excel, csv, xmlAvailable download formats
    Dataset updated
    Jun 15, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2000 - Sep 28, 2025
    Area covered
    United States
    Description

    Option Care Health reported $25.98 in PE Price to Earnings for its fiscal quarter ending in June of 2025. Data for Option Care Health | BIOS - PE Price to Earnings including historical, tables and charts were last updated by Trading Economics this last September in 2025.

  13. m

    FT Cboe Vest U.S. Equity Deep Buffer ETF - June - Price Series

    • macro-rankings.com
    csv, excel
    Updated Sep 26, 2004
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    macro-rankings (2004). FT Cboe Vest U.S. Equity Deep Buffer ETF - June - Price Series [Dataset]. https://www.macro-rankings.com/Markets/ETFs/DJUN-US
    Explore at:
    csv, excelAvailable download formats
    Dataset updated
    Sep 26, 2004
    Dataset authored and provided by
    macro-rankings
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    united states
    Description

    Index Time Series for FT Cboe Vest U.S. Equity Deep Buffer ETF - June. The frequency of the observation is daily. Moving average series are also typically included. Under normal market conditions, the fund will invest substantially all of its assets in FLexible EXchange® Options (FLEX Options) that reference the price performance of the SPDR® S&P 500® ETF Trust (the Underlying ETF). FLEX Options are customized equity or index option contracts that trade on an exchange, but provide investors with the ability to customize key contract terms like exercise prices, styles and expiration dates. It is non-diversified.

  14. NSE Tradable Stocks/Instruments List

    • kaggle.com
    Updated Aug 16, 2024
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    Ankur Ambastha (2024). NSE Tradable Stocks/Instruments List [Dataset]. https://www.kaggle.com/datasets/reapersden/nse-tradable-stocks-instruments
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 16, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Ankur Ambastha
    License

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Description

    Dataset Overview:

    The dataset contains information about 6,717 financial instruments listed on the National Stock Exchange (NSE) of India. The data includes a variety of instruments such as equity indices, stocks, and other financial products. Here’s a breakdown of the columns:

    • instrument_token: A unique identifier for each instrument.
    • exchange_token: Another identifier specific to the exchange.
    • tradingsymbol: The trading symbol of the instrument.
    • name: The full name of the instrument (some entries might be missing this information).
    • last_price: The last traded price of the instrument.
    • expiry: Expiry date for derivative instruments (mostly null for this dataset).
    • strike: Strike price for options (mostly zero or not applicable here).
    • tick_size: The minimum price movement for the instrument.
    • lot_size: The lot size for trading the instrument.
    • instrument_type: The type of instrument (e.g., equity, index).
    • segment: The market segment to which the instrument belongs (e.g., INDICES, EQUITIES).
    • exchange: The exchange where the instrument is listed (in this case, all are from NSE).

    Sample Data:

    Here’s a quick look at the first few entries:

    instrument_tokentradingsymbolnamelast_priceinstrument_typesegmentexchange
    256265NIFTY 50NIFTY 500.0EQINDICESNSE
    256777NIFTY MIDCAP 100NIFTY MIDCAP 1000.0EQINDICESNSE
    260105NIFTY BANKNIFTY BANK0.0EQINDICESNSE
    260617NIFTY 100NIFTY 1000.0EQINDICESNSE
    257033NIFTY DIV OPPS 50NIFTY DIV OPPS 500.0EQINDICESNSE

    Dataset Description for Kaggle:

    Instruments NSE Dataset

    Description:

    This dataset contains detailed information on 6,717 financial instruments listed on the National Stock Exchange (NSE) of India. It includes a range of instruments such as equity indices, stocks, and derivatives. This dataset can be used for financial analysis, trading strategy development, and backtesting.

    Columns:

    • instrument_token: Unique identifier for each instrument.
    • exchange_token: NSE-specific identifier.
    • tradingsymbol: The trading symbol used to identify the instrument on the NSE.
    • name: Full name of the instrument (where available).
    • last_price: The most recent traded price of the instrument.
    • expiry: Expiry date for derivatives (where applicable).
    • strike: Strike price for options (mostly irrelevant for this dataset).
    • tick_size: The smallest price movement allowed in trading this instrument.
    • lot_size: The lot size, indicating the number of units per trade.
    • instrument_type: Indicates the type of instrument, such as equity or index.
    • segment: The market segment, such as indices or equities.
    • exchange: The exchange where the instrument is listed, which in this dataset is the NSE.

    Usage:

    This dataset is ideal for: - Market Analysis: Understanding the structure and constituents of the NSE. - Trading Strategies: Developing and backtesting trading strategies using historical data. - Educational Purposes: Learning about financial markets and instruments.

    Acknowledgments:

    The data has been sourced from the National Stock Exchange of India (NSE).

    You can use this description as the text when you upload the dataset to Kaggle. It covers all the essential details, making it easy for users to understand the contents and potential applications of the dataset.

  15. m

    Global X NASDAQ 100® Risk Managed Income ETF - Price Series

    • macro-rankings.com
    csv, excel
    Updated Aug 25, 2021
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    macro-rankings (2021). Global X NASDAQ 100® Risk Managed Income ETF - Price Series [Dataset]. https://www.macro-rankings.com/Markets/ETFs/QRMI-US
    Explore at:
    excel, csvAvailable download formats
    Dataset updated
    Aug 25, 2021
    Dataset authored and provided by
    macro-rankings
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    united states
    Description

    Index Time Series for Global X NASDAQ 100® Risk Managed Income ETF. The frequency of the observation is daily. Moving average series are also typically included. The fund invests at least 80% of its total assets in the securities of the Nasdaq-100 Monthly Net Credit Collar 95-100 Index (underlying index). The underlying index measures the performance of a risk managed income strategy that holds the underlying stocks of the NASDAQ 100® Index and applies an options collar strategy (i.e., a mix of short (sold) call options and long (purchased) put options) on the NASDAQ 100® Index. The fund is non-diversified.

  16. T

    Option Care Health | BIOS - Stock

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 15, 2025
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    TRADING ECONOMICS (2025). Option Care Health | BIOS - Stock [Dataset]. https://tradingeconomics.com/bios:us:stock
    Explore at:
    excel, json, xml, csvAvailable download formats
    Dataset updated
    Jun 15, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2000 - Sep 28, 2025
    Area covered
    United States
    Description

    Option Care Health reported $403.54M in Stock for its fiscal quarter ending in June of 2025. Data for Option Care Health | BIOS - Stock including historical, tables and charts were last updated by Trading Economics this last September in 2025.

  17. m

    FT Cboe Vest U.S. Equity Buffer ETF - February - Price Series

    • macro-rankings.com
    csv, excel
    Updated Sep 26, 2004
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    macro-rankings (2004). FT Cboe Vest U.S. Equity Buffer ETF - February - Price Series [Dataset]. https://www.macro-rankings.com/Markets/ETFs/FFEB-US
    Explore at:
    csv, excelAvailable download formats
    Dataset updated
    Sep 26, 2004
    Dataset authored and provided by
    macro-rankings
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    united states
    Description

    Index Time Series for FT Cboe Vest U.S. Equity Buffer ETF - February. The frequency of the observation is daily. Moving average series are also typically included. Under normal market conditions, the fund will invest substantially all of its assets in FLexible EXchange® Options (FLEX Options) that reference the price performance of the SPDR® S&P 500® ETF Trust (the Underlying ETF). FLEX Options are customized equity or index option contracts that trade on an exchange, but provide investors with the ability to customize key contract terms like exercise prices, styles and expiration dates. It is non-diversified.

  18. m

    FT Cboe Vest U.S. Equity Deep Buffer ETF - November - Price Series

    • macro-rankings.com
    csv, excel
    Updated Sep 26, 2004
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    macro-rankings (2004). FT Cboe Vest U.S. Equity Deep Buffer ETF - November - Price Series [Dataset]. https://www.macro-rankings.com/Markets/ETFs/DNOV-US
    Explore at:
    csv, excelAvailable download formats
    Dataset updated
    Sep 26, 2004
    Dataset authored and provided by
    macro-rankings
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    united states
    Description

    Index Time Series for FT Cboe Vest U.S. Equity Deep Buffer ETF - November. The frequency of the observation is daily. Moving average series are also typically included. Under normal market conditions, the fund will invest substantially all of its assets in FLexible EXchange® Options (FLEX Options) that reference the price performance of the SPDR® S&P 500® ETF Trust (the Underlying ETF). FLEX Options are customized equity or index option contracts that trade on an exchange, but provide investors with the ability to customize key contract terms like exercise prices, styles and expiration dates. It is non-diversified.

  19. m

    TrueShares Structured Outcome (April) ETF - Price Series

    • macro-rankings.com
    csv, excel
    Updated Mar 31, 2021
    + more versions
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    macro-rankings (2021). TrueShares Structured Outcome (April) ETF - Price Series [Dataset]. https://www.macro-rankings.com/Markets/ETFs/APRZ-US
    Explore at:
    csv, excelAvailable download formats
    Dataset updated
    Mar 31, 2021
    Dataset authored and provided by
    macro-rankings
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    united states
    Description

    Index Time Series for TrueShares Structured Outcome (April) ETF. The frequency of the observation is daily. Moving average series are also typically included. The fund is an actively-managed ETF that seeks to achieve its investment objective by investing substantially all of its assets in options on the S&P 500 Price Index. It will purchase call options and sell put options on the S&P 500 Price Index or an ETF that seeks to track the performance of the S&P 500 Price Index on each Initial Investment Day with an expiration on the next Roll Date.

  20. m

    Innovator S&P 500 Power Buffer - January - Price Series

    • macro-rankings.com
    csv, excel
    Updated Dec 31, 2018
    Share
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    macro-rankings (2018). Innovator S&P 500 Power Buffer - January - Price Series [Dataset]. https://www.macro-rankings.com/Markets/ETFs/PJAN-US
    Explore at:
    excel, csvAvailable download formats
    Dataset updated
    Dec 31, 2018
    Dataset authored and provided by
    macro-rankings
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    united states
    Description

    Index Time Series for Innovator S&P 500 Power Buffer - January. The frequency of the observation is daily. Moving average series are also typically included. The fund invests at least 80% of its net assets in FLexible EXchange® Options that reference the SPDR® S&P 500® ETF Trust. FLEX Options are exchange-traded options contracts with uniquely customizable terms. The fund is non-diversified.

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Click to copy link
Link copied
Close
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(2022). Free Data [Dataset]. https://optiondata.org/

Free Data

Free Data

Explore at:
3 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Sep 3, 2022
License

https://optiondata.org/about.htmlhttps://optiondata.org/about.html

Time period covered
Jan 1, 2013 - Jun 30, 2013
Description

Free historical options data, dataset files in CSV format.

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