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This dataset is a combination of four years of Apple ($AAPL) options end of day quotes ranging from 01-2016 to 03-2023. Each row represents the information associated with one contract's strike price and a given expiration date.

Dates quotes are given in in Unix and in "YYYY-MM-DD HH:MM" formats. Quote frequency is daily at 4:00 pm EST, which corresponds with end of day market closure.

REMEMBER: Apple stock split on August 28, 2020. This will be reflected in the data. Keep this in mind!

What is an option chain?

An option chain can be defined as the listing of all option contracts. It comes with two different sections: call and put. A call option means a contract that gives you the right but does not give you the obligation to buy an underlying asset at a particular price and within the option's expiration date. This means that in this dataset, there will be the entire option chain (all available option contracts for all expirations) for each business day between Q1 2016 and Q1 2023.

This dataset contains data for American options, which can be exercised on or before expiration date. This is unlike European options contracts, which can only be exercised on the expiration date.

I am also continuously working on the associated notebook to give a basic idea of how to load and explore the data. Stay tuned!

Similar Datasets: - $TSLA Option Chains - $SPY Option Chains - $NVDA Option Chains - $QQQ Option Chains

Free historical options data, dataset files in CSV format.

Title: Historical Options Data for BANKNIFTY Index

Description: This dataset provides historical options data for the BANKNIFTY index, which is the benchmark index for the banking sector in India. The dataset includes information on the ticker, date, time, open, high, low, close, volume, and open interest for various call options contracts.

The data is provided in CSV format and covers the time period from March 1, 2021 to the present day. Each row in the dataset corresponds to a single options contract, and includes information on the opening and closing prices, as well as the trading volume and open interest for that contract.

Columns:

Ticker: the ticker symbol for the options contract (string) Date: the date when the contract was traded (date) Time: the time when the contract was traded (time) Open: the opening price for the contract (float) High: the highest price for the contract during the trading session (float) Low: the lowest price for the contract during the trading session (float) Close: the closing price for the contract (float) Volume: the total number of contracts traded during the session (int) Open Interest: the number of outstanding contracts at the end of the session (int) Example entry:

Ticker Date Time Open High Low Close Volume Open Interest BANKNIFTY01APR2130600CE 03/01/2021 12/31/1899 14:39 5057.2 5065 5057.2 5065 50 48000

This dataset can be used to perform various types of analysis on options trading for the BANKNIFTY index, such as calculating the daily trading volume and open interest, identifying trends and patterns in the price movements of options contracts, and developing models to predict future price movements based on historical data.

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This dataset is a combination of two years of Invesco QQQ Trust Series 1, $QQQ, options end of day quotes ranging from 01-2020 to 12-2022. Each row represents the information associated with one contract's strike price and a given expiration date.

Dates quotes are given in in Unix and in "YYYY-MM-DD HH:MM" formats. Quote frequency is daily at 4:00 pm EST, which corresponds with end of day market closure.

What is an option chain?

An option chain can be defined as the listing of all option contracts. It comes with two different sections: call and put. A call option means a contract that gives you the right but does not give you the obligation to buy an underlying asset at a particular price and within the option's expiration date. This means that in this dataset, there will be the entire option chain (all available option contracts for all expirations) for each business day between Q1 2020 and Q4 2022.

This dataset contains data for American options, which can be exercised on or before expiration data. This is unlike European options contracts, which can only be exercised on the expiration date.

I am also continuously working on the associated notebook to give a basic idea of how to load and explore the data. Stay tuned!

Similar Datasets: - $TSLA Option Chains - $SPY Option Chains - $NVDA Option Chains - $AAPL Option Chains

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This dataset is a combination of three years of SPDR S&P 500 ETF Trust ($SPY) options end of day quotes ranging from 01-2020 to 12-2022. Each row represents the information associated with one contract's strike price and a given expiration date.

Dates quotes are given in in Unix and in "YYYY-MM-DD HH:MM" formats. Quote frequency is daily at 4:00 pm EST, which corresponds with end of day market closure.

What is an option chain?

An option chain can be defined as the listing of all option contracts. It comes with two different sections: call and put. A call option means a contract that gives you the right but does not give you the obligation to buy an underlying asset at a particular price and within the option's expiration date. This means that in this dataset, there will be the entire option chain (all available option contracts for all expirations) for each business day between Q1 2020 and Q4 2022.

This dataset contains data for American options, which can be exercised on or before expiration data. This is unlike European options contracts, which can only be exercised on the expiration date.

I am also continuously working on the associated notebook to give a basic idea of how to load and explore the data. Stay tuned!

Similar Datasets: - $TSLA Option Chains - $AAPL Option Chains - $NVDA Option Chains - $QQQ Option Chains

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.

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Nifty50 Futures & Options (F&O) Filtered Historical Dataset

This dataset contains filtered F&O (Futures & Options) data for Nifty50 stocks. It includes detailed information such as open interest, volume, expiry dates, instrument types, and contract metadata — curated for options trading, F&O analytics, and quantitative strategy development.

Key Features

• Instrument types: FUTSTK, OPTSTK
• Contract metadata: expiry date, strike price, option type (CE/PE)
• Daily trading data: open, high, low, close, volume, open interest
• Filtered and cleaned for Nifty50 stocks only

Use Cases

• F&O analytics and strategy backtesting
• Options chain modeling and open interest trends
• Expiry-based contract behavior analysis
• Volatility and sentiment modeling using derivatives data

License

Released under CC0 1.0 Universal Public Domain. Free to use for personal, academic, or commercial purposes.

Keywords

nifty50, futures and options, derivatives, stock market, expiry data, open interest, strike price, options chain

Japan OSE: Turnover: Value: Nikkei 225 Call and Put Options data was reported at 516.962 JPY bn in Nov 2018. This records a decrease from the previous number of 749.344 JPY bn for Oct 2018. Japan OSE: Turnover: Value: Nikkei 225 Call and Put Options data is updated monthly, averaging 228.702 JPY bn from Jun 1989 (Median) to Nov 2018, with 354 observations. The data reached an all-time high of 1,544.252 JPY bn in May 2013 and a record low of 44.521 JPY bn in Jul 2005. Japan OSE: Turnover: Value: Nikkei 225 Call and Put Options data remains active status in CEIC and is reported by Japan Exchange Group. The data is categorized under Global Database’s Japan – Table JP.Z016: Osaka Exchange Inc: Futures and Options.

Explore the historical Whois records related to options-trading-courses.com (Domain). Get insights into ownership history and changes over time.

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.

Finland - Total financial sector liabilities: Financial derivatives and employee stock options was 13.90 % of GDP in December of 2024, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Finland - Total financial sector liabilities: Financial derivatives and employee stock options - last updated from the EUROSTAT on November of 2025. Historically, Finland - Total financial sector liabilities: Financial derivatives and employee stock options reached a record high of 90.10 % of GDP in December of 2011 and a record low of -0.40 % of GDP in December of 1995.

CN: Options: Shanghai Stock Exchange: 500ETF: Turnover Volume data was reported at 1,221.655 Contract th in 13 May 2025. This records a decrease from the previous number of 1,246.038 Contract th for 12 May 2025. CN: Options: Shanghai Stock Exchange: 500ETF: Turnover Volume data is updated daily, averaging 836.183 Contract th from Sep 2022 (Median) to 13 May 2025, with 638 observations. The data reached an all-time high of 3,728.811 Contract th in 24 Sep 2024 and a record low of 224.725 Contract th in 20 Sep 2022. CN: Options: Shanghai Stock Exchange: 500ETF: Turnover Volume data remains active status in CEIC and is reported by Shanghai Stock Exchange. The data is categorized under China Premium Database’s Financial Market – Table CN.ZI: Shanghai Stock Exchange: Options: Turnover: Daily.

Graph and download economic data for CBOE Volatility Index: VIX (VIXCLS) from 1990-01-02 to 2025-12-01 about VIX, volatility, stock market, and USA.

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

Slovakia - Financial derivatives and employee stock options was MIO_NAC-500.30 Million in December of 2024, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Slovakia - Financial derivatives and employee stock options - last updated from the EUROSTAT on December of 2025. Historically, Slovakia - Financial derivatives and employee stock options reached a record high of MIO_NAC186.60 Million in December of 2008 and a record low of MIO_NAC-1775.10 Million in December of 2021.

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

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China Options: Shanghai Stock Exchange: 300ETF: Open Interest: Call data was reported at 845.199 Contract th in 08 May 2020. This records an increase from the previous number of 834.101 Contract th for 07 May 2020. China Options: Shanghai Stock Exchange: 300ETF: Open Interest: Call data is updated daily, averaging 875.530 Contract th from Dec 2019 (Median) to 08 May 2020, with 89 observations. The data reached an all-time high of 1,336.983 Contract th in 17 Mar 2020 and a record low of 107.629 Contract th in 23 Dec 2019. China Options: Shanghai Stock Exchange: 300ETF: Open Interest: Call data remains active status in CEIC and is reported by Shanghai Stock Exchange. The data is categorized under China Premium Database’s Financial Market – Table CN.ZI: Shanghai Stock Exchange: Options: Open Interest: Daily.

Short-Term-Investments Time Series for Cboe Global Markets Inc. Cboe Global Markets, Inc., through its subsidiaries, operates as an options exchange in the United States and internationally. It operates through six segments: Options, North American Equities, Europe and Asia Pacific, Futures, Global FX, and Digital. The Options segment trades in listed market indices. Its North American Equities segment trades in listed U.S. and Canadian equities. This segment also offers exchange-traded products (ETP) transaction and listing services. The Europe and Asia Pacific segment provides pan-European listed equities and derivatives transaction services, ETPs, exchange-traded commodities, and international depository receipts, as well as ETP listings and clearing services. Its Futures segment offers and trades in futures and other related products. The Global FX segment provides institutional foreign exchange (FX) trading and non-deliverable forward FX transactions services. Its Digital segment offers Cboe Digital, an operator of the United States based digital asset spot market and a regulated futures exchange; Cboe Clear Digital, a regulated clearinghouse; licensing of proprietary market data; and access and capacity services. It has strategic relationships with S&P Dow Jones Indices, LLC; Frank Russell Company; FTSE International Limited; and MSCI Inc. The company was formerly known as CBOE Holdings, Inc. and changed its name to Cboe Global Markets, Inc. in October 2017. Cboe Global Markets, Inc. was founded in 1973 and is headquartered in Chicago, Illinois.