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Historical Data

Order Book data on cryptocurrencies such as Bitcoin and Ethereum recorded by Gemini, a digital asset exchange. The offering shows open orders at the beginning of the day, orders placed, filled, and canceled during the day and are distinguished by the Event Type field. A filter to only receive the Fill events is also available. Auction data is not included. The currency pair symbols are formatted as CCY1CCY2 where prices are in CCY2 and quantities are in CCY1, the following pairs are supported:

Currency Pair Quantity currency Price currency
BTCUSD BTC USD
ETHUSD ETH USD
ETHBTC ETH BTC
ZECUSD ZEC USD
ZECBTC ZEC BTC
ZECETH ZEC ETH
Order Book data on cryptocurrencies such as Bitcoin and Ethereum recorded by Gemini, a digital asset exchange. The offering shows open orders at the beginning of the day, orders placed, filled, and canceled during the day and are distinguished by the Event Type field. A filter to only receive the Fill events is also available. Auction data is not included. The currency pair symbols are formatted as CCY1CCY2 where prices are in CCY2 and quantities are in CCY1, the following pairs are supported:

Currency Pair Quantity currency Price currency
BTCUSD BTC USD
ETHUSD ETH USD
ETHBTC ETH BTC
ZECUSD ZEC USD
ZECBTC ZEC BTC
ZECETH ZEC ETH
Historical end of day quotes and trade summary for S&P 500 (SP) and e-mini futures (ES) from the Chicago Mercantile Exchange.
Cboe LiveVol Implied Volatility Blends capture term structure and solve for expiration-specific and constant maturity implied volatilities encapsulated within the range of option expirations. Capturing the constant maturity volatilities helps traders visualize and track the behavior of volatility over time providing context to current market implied volatility. To build out our volatility blends we first solve for the at-the-money volatility of each expiration to capture the term-structure of the volatility. Next, using a cubic spline approach, we fit a curve to the term-structure. Using the fitted curve, we solve for the constant maturity (IV30, IV60, IV90, etc.) time periods offered in the file. *Constant maturity times that fall outside the range of expirations available for a particular symbol will be zero. This dataset is only available with end of day granularity.
Volatility skew data allows users to analyze relative option pricing levels over time series by comparing “virtual” option strikes with identical time to maturity and levels relative to spot. Our Volatility Skew files show the implied volatility levels of virtual options expiring at constant maturities, with option strikes defined by either moneyness (% from spot) or by option delta. These files allow for more appropriate comparison of implied volatility levels over time. LiveVol volatility skew data is provided with either moneyness increments (5% steps from spot from 0-60%, with additional values at 2.5% from spot) or delta increments (5 delta increments for both calls and puts). Standard maturity periods range from 30 to 360 calendar days. An auxiliary set of skew index data will be provided with each purchase. Skew indexes represent a measure of option skew by symbol and maturity for a particular day. Delta skew data is used to generate the skew index metrics: for example, SKEW90 represents the (IV of 25 delta put – IV of 25 delta call)/(50 delta call IV) for virtual options expiring in 90 days.
Open-Close data is a volume summary file for trading activity on the BZX exchange. It summarizes and buckets the volume by origin (customer, professional customer, broker-dealer, and market maker), buying/selling, and opening/closing criteria. The customer and professional customer volume is further broken down into trade size buckets (less than 100 contracts, 100-199 contracts, greater than 199 contracts). The data currently goes back to 1/2/2018 and contains all series in an underlying security's chain-if it has volume.