Free historical options data, dataset files in CSV format.

Context

This Data is gathered from NSE website for the past three months I am posting this here so people can analyse this data and gather meaningful insights from this.

Example - Probability of Stock ending up at Max Pain with the help of Open Interest.

Content

The dataset contains stock symbol with which it is traded, Expiry Date. Strike Price and the Option pricing of the Symbol at that Strike price.

Acknowledgements

I thank the people working at NSE for publishing these reports everyday.

Inspiration

Whenever we want to initiate an Options trade we look at various parameters like OpenInterest, Change in OI, Technical Analysis Indicators before deciding to Buy/Sell the Option. Most times we need to browse to multiple websites to gather the data we need, This is an example to show how you can customise the data for our needs.

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

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.

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

This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.

Option Care Health reported $1.15B in Cost of Sales for its fiscal quarter ending in June of 2025. Data for Option Care Health | BIOS - Cost Of Sales including historical, tables and charts were last updated by Trading Economics this last October in 2025.

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 October in 2025.

Index Time Series for Dynamic Active Enhanced Yield Covered Options ETF. The frequency of the observation is daily. Moving average series are also typically included. NA

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

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.

Option Care Health reported $3.38B in Assets for its fiscal quarter ending in June of 2025. Data for Option Care Health | BIOS - Assets including historical, tables and charts were last updated by Trading Economics this last October in 2025.

Inspiration

If you find this dataset useful, pls drop a like.

Description

Here you can find daily in-depth data about the most liquid US bonds ETFs. I provide prices, volumes, and connected options' data. In my opinion, it's the best ETFs datasets on Kaggle you can find.

The data is presented in CSV format as follows: 1. Date. 2. Close Price. 3. Open Price. 4. Low Price. 5. High Price. 6. Volume - Total number of shares traded on security on the date. 7. Average Bid Ask Spread % - Average of all bid/ask spreads taken as a percentage of the mid price. 8. Total Put Volume - The total amount of put option contracts (all strike prices and all expiration dates) traded during the previous trading day. If there were no trades the previous day, this field will return the latest volume available, if any, from the most recent 10 trading days. 9. Total Call Volume - The total amount of call option contracts (all strike prices and all expiration dates) traded during the previous trading day. If there were no trades the previous day, this field will return the latest volume available, if any, from the most recent 10 trading days. 10. Put Call Open Interest Total - Total number of call and put option contracts (all strike prices and expiration dates) that have not been closed, liquidated, or delivered for the security during the previous trading day. 11. Call Open Interest Total - The total number of call option contracts (all available strikes and expirations) outstanding for a given underlying as of the close of the previous trading day, as reported by the exchange. 12. Short Interest - Total number of shares investors have sold short but have not yet bought back. 13. Short Interest Ratio - Short Interest divided by the average daily trading volume.

P.S. For historical values, the dates represent the end date of the period the data is for, not the date when the data was made publicly available. For example, if the data is for the two-week period ending on October 15 and that data is made publicly available on October 25, the date shown is October 15. For options' columns and bid-ask spread the data available from 2012 year.

TraditionData’s Asian Interest Rate Options Data service provides comprehensive access to the market-leading and most active broker in the Asia Interest Rate Options market. Real-time, hourly and end-of-day data that provides unparalleled insight into this market.

• shifted log normal vols for JPY TONA and legacy JPY LIBOR products
• ATM Swaptions, OTM Swaptions, ATM Cap & Floors, OTM Cap & Floors
• Real-time, hourly and end-of day directly from TraditionData or via BBG (B-pipe and/or Data License (DL)) and LSEG (Real-time feed, DataScope Select (DSS) and/or Tick History).

Gain further insights on our Asian Interest Rate Options Data page.

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.

Option Care Health reported $114.02M in EBITDA for its fiscal quarter ending in June of 2025. Data for Option Care Health | BIOS - Ebitda including historical, tables and charts were last updated by Trading Economics this last October in 2025.

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.

What is options trading?

Financial data:

• 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)

Machine learning features:

• 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)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• 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

Additional Notes:

• 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

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.

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.

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Foreign Exchange Market Size 2025-2029

The foreign exchange market size is valued to increase by USD 582 billion, at a CAGR of 10.6% from 2024 to 2029. Growing urbanization and digitalization will drive the foreign exchange market.

Major Market Trends & Insights

Europe dominated the market and accounted for a 47% growth during the forecast period.
By Type - Reporting dealers segment was valued at USD 278.60 billion in 2023
By Trade Finance Instruments - Currency swaps segment accounted for the largest market revenue share in 2023

Market Size & Forecast

Market Opportunities: USD 118.14 billion
Market Future Opportunities: USD 582.00 billion
CAGR from 2024 to 2029 : 10.6%

Market Summary

The market, a dynamic and intricate web of financial transactions, plays a pivotal role in facilitating global trade and economic interactions. Its primary function is to enable the conversion of one currency into another, thereby mitigating the risk of currency fluctuations for businesses and investors. Key drivers of this market include growing urbanization and digitalization, which have expanded trading opportunities to a 24x7 global economy. However, the uncertainty of future exchange rates poses a significant challenge, necessitating effective risk management strategies. The market's evolution reflects the increasing interconnectedness of the global economy. Transactions occur in a decentralized, over-the-counter system, with major trading centers in London, New York, and Tokyo.
Participants include commercial banks, investment banks, hedge funds, and individual investors, all seeking to capitalize on price differences between currencies. Trends shaping the market include the increasing use of automation and artificial intelligence to analyze market data and execute trades. Regulatory changes, such as the introduction of stricter capital requirements, also impact the market's functioning. Looking ahead, the market is expected to remain a vital component of the global financial landscape, with continued growth driven by increased trade and economic interdependence. However, challenges, such as regulatory changes and geopolitical risks, will necessitate adaptability and innovation from market participants.

What will be the Size of the Foreign Exchange Market during the forecast period?

Get Key Insights on Market Forecast (PDF) Request Free Sample

How is the Foreign Exchange Market Segmented ?

The foreign exchange industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Type

  Reporting dealers
  Financial institutions
  Non-financial customers


Trade Finance Instruments

  Currency swaps
  Outright forward and FX swaps
  FX options


Trading Platforms

  Electronic Trading
  Over-the-Counter (OTC)
  Mobile Trading


Geography

  North America

    US
    Canada


  Europe

    Germany
    Switzerland
    UK


  Middle East and Africa

    UAE


  APAC

    China
    India
    Japan


  South America

    Brazil


  Rest of World (ROW)

By Type Insights

The reporting dealers segment is estimated to witness significant growth during the forecast period.

The market, a dynamic and ever-evolving financial landscape, is characterized by constant activity and intricate patterns. Participants engage in various trading strategies, employing advanced tools such as stop-loss and take-profit orders on forex trading platforms. Real-time data feeds and order book dynamics facilitate trade execution speed, while market microstructure and slippage minimization techniques ensure efficient transactions. Currency correlation analysis and transaction cost analysis are integral to informed decision-making, with backtesting methodologies providing valuable insights. Currency forwards contracts, position sizing techniques, and forex derivatives pricing are essential components of risk management systems. Carry trade strategies, hedging strategies, and interest rate parity are popular tactics employed by market participants.

Algorithmic trading strategies, driven by options pricing models and trading algorithms' efficiency, significantly influence price discovery mechanisms. High-frequency trading and volatility modeling contribute to the market's liquidity risk management, while foreign exchange swaps and currency option valuation help manage risk. The market's complexities necessitate sophisticated risk management systems and intricate order routing optimization. Global payments systems facilitate the smooth transfer of funds, and liquidity risk management remains a critical concern for market participants. According to recent studies, The market is estimated to account for approximately USD6 trillion in daily trading volume, und