QuikVol Option Volatility Data is powered by QuikStrike, a benchmark pricing and analysis platform.
Bantix is a Chicago-area-based software development firm specializing in the delivery of web-based tools. QuikStrike, their flagship options pricing and analysis product, has been available and in production since 2004. A free introductory version of QuikStrike is available on the CME Group website. More advanced versions are available as part of CME Direct, as well as the more advanced Professional and Enterprise subscription editions.
Bantix provides market implied option volatility curves and realized futures volatility data.
The following fourth order volatility curve types for listed and constant maturity expirations are available:
See FAQ question below with evaluation instructions for details on how to use each equation type.
The following 5-, 10-, 20-, 30- and 60-day realized futures volatility data are available:
For most products we are deriving volatility data for all available, active expirations (this includes active short-dated options in the Ag complex).
For energy products, we will only grab three years of expiration contracts. This is generally the portion of the term structure that has most, if not all, of the open interest. The exception to this three-year window is the Eurodollar product. Most of the ED$ curve have a solid open interest base, so we cover the entire curve.
CME DataMine does not show any of the data graphically, but you can see charts of all the data we offer, as well as other information, via the QuikVol user interface. The QuikVol tool is accessible as part of the QuikStrike Essentials toolbox.
CME DataMine only supports expiration level curve equations at this point.Bantix believes that the strike level data is easy to create with the equation data.
See a sample calculation in the How do I use the curve coefficient data to calculate the strike level volatility? question below.
If you would prefer to download strike level information, email our Data Sales team at firstname.lastname@example.org.
Data can be purchased for a single (or multiple) asset class(es) or for the entire set of asset classes. Data will be delivered/available on a product level basis.
The prices used to create the option volatility curves is a combination of CME Group settlement and SPAN file data. When strike open interest (OI) is available for an expiration (CME DataMine EOD files only contain settlement prices for strikes with OI), this data is used to create the volatility curves. For expirations with little or no OI, the expirations with actual, derived curves will be used to (linearly) interpolate curves for these “empty” expirations.
For data from 2007 through 2010, SPAN file data was used to create volatility curves. Data from 2011 forward, will use EOD settlement data (augmented with SPAN when and if possible).
Strike-based curves are created by using the at-the-money (ATM) straddle implied volatility and all out-of-the-money (OTM) implied volatilities to create a least squares (fourth order) polynomial fit for this set of points. The curve is fit between all available strikes from the -2 to +2 delta range.
Note: For Eurodollars, the curve is always forced to go through the ATM strike. We believe that this is especially important for active contracts with a limited strike range like the Eurodollar contract.
For the other curve types (Delta, Moneyness1, Moneyness2 and Standard Deviation), the strike curve is used to create a set of points that represent the curves’ data. Those points are then fit (in the same fashion mentioned above). Each curve has a low strike and high strike associated with the curve. For the non-strike curves, this strike is a low and high data point on the curve (i.e. Delta, Moneyness, etc.).
Volatility points on the curve can then be calculated by stepping through the points from low to high, or ANY point in between, and evaluating the polynomial equation. One of the strengths of the fitted curve volatility equation is that the user can calculate a volatility for any point on the curve without being limited to a listed strike, fixed delta step, etc.
For expirations with little or no OI, the expirations with actual, derived curves will be used to (linearly) interpolate curves for these empty expirations.
Options continue to trade when a future is locked limit up or down. On days when the futures settle in this state, QuikVol finds the at-the-money strike by looking for the strike where put and call settlement are closest to each other and derives a put-call parity futures price. This price is then used as the futures price input for deriving the implied volatility for the rest of the settlement prices.
No, since data is stored and delivered at the expiration level, strike level data is not available. However, you can get option settlement prices from DataMine as well as a limited date range from Bantix and the QuikStrike tools.
Since our data is delivered at the expiration level, and futures are expiration level products, we do provide the price, volume and open interest as part of each record (for data from 2011 forward only).
The data will be delivered in CSV file format.
There is one record per option expiration tracked and one record for each futures contract (on a per product basis). Therefore, the individual product files are not very large (files sizes range from 2kb to 48kb).
There will be 42 options and 42 futures files that are dispersed over six different asset classes.
Once per day since the information is end-of-day data.
The files will be delivered by midnight Central Time (CT).
The files will be compressed.
Data is available from January 1, 2007 (or from where the data for a given product starts to be available) and forward. Below is a list of each product and its availability.
We are working on having Bitcoin (BRR or BTC) realized volatility available soon in CME DataMine. In the meantime, QuikVol has this information available.
If you would like access to this information, contact email@example.com QuikStrike also has Bitcoin option volatility curves available.
This is data derived from QuikStrike proprietary calculations.
We use the following formulas for each type of option product:
Here is one example of how Bantix reaches the delta-based curve (but all curves are evaluated in the same fashion). For purposes of our example, we used the delta because we believe that it is the most generic across all products. The PutDeltaLow column, with a value of 0.05, represents the 5-delta put. To continue the volatility curve evaluation, step up (with 0.05 delta increments) to the 0.10 (10-Delta put), 0.15 (15-Delta put) etc. until you get to the PutDeltaHigh or 0.95 value (5-Delta call). The at-the-money (ATM) volatility is the 0.50 value (makes sense right). You can use any delta value to evaluate a volatility at a given point but the spreadsheet example is a typical calculation method for creating a delta-based curve.
And, our other curves follow in the same fashion. You will start with the low strike, money-ness or standard deviation value and step up by a strike increment, or other decimal value for the money-ness and standard deviation values until you get to or near the high value. However, to reiterate, you can use any value between the low and high values to evaluate a point on the curve.
Note: Our curves are created to be calculated between the low and high values. If you attempt to evaluate a point outside that range, you may not get a proper value (this is a function of curve fitting in general). However, we have found that this is generally not the case on delta-based curves and does not happen all that often. What we typically do to combat any potential issue we find is the following:
|Date||6/12/2018||Date String||Trade Date|
|Symbol||LOQ18||String||Listed, Constant Maturity or Rolling Contract Symbol|
|ExpDate||7/17/2018||Date String||Contract Expriation Date, if any|
|DTE||35||Decimal||Days to Expiration|
|Strike||66.5||Decimal||ATM Strike Price|
|Future||66.28||Decimal||Future Price used for calculations|
|StrikeLow||81.5||Decimal||Lowest strike price to be used to evaluate equation|
|StrikeHigh||55||Decimal||Highest strike price to be used to evaluate equation|
|S0||-4.180410459||Decimal||Coefficient for x0 term in polynomial equation|
|S1||0.303325116||Decimal||Coefficient for x1 term in polynomial equation|
|S2||-0.007175166||Decimal||Coefficient for x2 term in polynomial equation|
|S3||0.00007049||Decimal||Coefficient for x3 term in polynomial equation|
|S4||-0.00000024||Decimal||Coefficient for x4 term in polynomial equation|
|DeltaLow||0.05||Decimal||Lowest delta value to be used to evaluate equation|
|DeltaHigh||0.95||Decimal||Highest delta value to be used to evaluate equation|
|D0||0.302841994||Decimal||Coefficient for x0 term in polynomial equation|
|D1||-0.490802354||Decimal||Coefficient for x1 term in polynomial equation|
|D2||1.567278943||Decimal||Coefficient for x2 term in polynomial equation|
|D3||-2.230388561||Decimal||Coefficient for x3 term in polynomial equation|
|D4||1.139980033||Decimal||Coefficient for x4 term in polynomial equation|
|MoneynessLow||0.034941183||Decimal||Lowest moneyness value to be used to evaluate equation|
|MoneynessHigh||-0.031533552||Decimal||Highest moneyness value to be used to evaluate equation|
|M0||0.240515356||Decimal||Coefficient for x0 term in polynomial equation|
|M1||-0.676923052||Decimal||Coefficient for x1 term in polynomial equation|
|M2||58.69151794||Decimal||Coefficient for x2 term in polynomial equation|
|M3||665.7074633||Decimal||Coefficient for x3 term in polynomial equation|
|M4||3570.269464||Decimal||Coefficient for x4 term in polynomial equation|
|Moneyness2Low||1.229631865||Decimal||Lowest moneyness value to be used to evaluate equation|
|Moneyness2High||0.829812915||Decimal||Highest moneyness value to be used to evaluate equation|
|M2-0||0.240515356||Decimal||Coefficient for x0 term in polynomial equation|
|M2-1||2.680643891||Decimal||Coefficient for x1 term in polynomial equation|
|M2-2||-5.916905488||Decimal||Coefficient for x2 term in polynomial equation|
|M2-3||3.898370877||Decimal||Coefficient for x3 term in polynomial equation|
|M2-4||-0.66315935||Decimal||Coefficient for x4 term in polynomial equation|
|STDLow||81.5||Decimal||Lowest standard deviation value to be used to evaluate equation|
|STDHigh||55||Decimal||Highest standard deviation value to be used to evaluate equation|
|STD0||-27.81891693||Decimal||Coefficient for x0 term in polynomial equation|
|STD1||0.799309677||Decimal||Coefficient for x1 term in polynomial equation|
|STD2||-0.008882334||Decimal||Coefficient for x2 term in polynomial equation|
|STD3||0.00005823||Decimal||Coefficient for x3 term in polynomial equation|
|STD4||-0.00000016||Decimal||Coefficient for x4 term in polynomial equation|
|Date||6/21/2018||Date String||Trade Date|
|Symbol||TYU18||String||Listed, Constant Maturity or Rolling Contract Symbol|
|ExpDate||9/19/2018||Date String||Contract Expriation Date, if any|
|DTE||90||Decimal||Days to Expiration|
|OI||3469995||Decimal||Contract Open Interest|
|HV5||0.030838871||Decimal||5-Day Historical Realized Volatility|
|HV10||0.027059581||Decimal||10-Day Historical Realized Volatility|
|HV20||0.059439273||Decimal||20-Day Historical Realized Volatility|
|HV30||0.053671814||Decimal||30-Day Historical Realized Volatility|
|HV60||0.043493566||Decimal||60-Day Historical Realized Volatility|
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