AlgoSeek

US Future Options

Introduction

The US Future Options dataset by AlgoSeek provides Option data on US Future contracts, including prices, strikes, expires, implied volatility, and Greeks. The data covers 15 Monthly Future contracts, starts in January 2012, and is delivered on a minute frequency. This dataset is created by monitoring the trading activity on the CME, CBOT, NYMEX, and COMEX markets.

For more information about the US Future Options dataset, including CLI commands and pricing, see the dataset listing.

About the Provider

AlgoSeek is a leading historical intraday US market data provider offering the most comprehensive and detailed market data and analytics products in the financial industry covering equities, futures, options, cash forex, and cryptocurrencies. AlgoSeek data is built for quantitative trading and machine learning. For more information about AlgoSeek, visit algoseek.com.

Getting Started

The following snippet demonstrates how to request data from the US Future Options dataset:

future = self.AddFuture(Futures.Metals.Gold, Resolution.Minute)
future.SetFilter(0, 90)
self.AddFutureOption(future.Symbol, lambda universe: universe.Strikes(-5, +5))
var future = AddFuture(Futures.Metals.Gold, Resolution.Minute);
future.SetFilter(0, 90);
AddFutureOption(future.Symbol, universe => universe.Strikes(-5, +5));

Data Summary

The following table describes the dataset properties:

PropertyValue
Start DateJanuary 2012
Asset Coverage15 Monthly Future Contracts
Data DensityDense
ResolutionMinute, Hourly, & Daily
TimezoneNew York

Supported Assets

The following table shows the available Future Options:

TickerUnderlying TickerUnderlying Futures Name
DCDCClass III Milk
ESESE-mini S&P 500
HXEHGCopper
LOCLCrude Oil WTI
NQNQE-mini NASDAQ 100
OBRBGulf Coast CBOB vs. RBOB Gasoline
OGGCGold
OHHOHeating Oil
ONNGNatural Gas
OZBZB30Y U.S. Treasury Bond
OZCZCCorn
OZSZSSoybeans
OZTZT2Y U.S. Treasury Note
OZWZWChicago SRW Wheat
SOSIHang Seng

Data Point Attributes

The US Future Options dataset provides TradeBar, QuoteBar, and OpenInterest objects.

TradeBar Attributes

TradeBar objects have the following attributes:

QuoteBar Attributes

QuoteBar objects have the following attributes:

OpenInterest Attributes

OpenInterest objects have the following attributes:

Requesting Data

To add US Future Options data to your algorithm, call the AddFutureOption method.

class FutureOptionDataAlgorithm(QCAlgorithm):

    def Initialize(self) -> None:
        self.SetStartDate(2020, 1, 28)
        self.SetEndDate(2020, 6, 1)
        self.SetCash(100000)

        future = self.AddFuture(Futures.Metals.Gold, Resolution.Minute)
        future.SetFilter(0, 90)
        self.AddFutureOption(future.Symbol, lambda universe: universe.Strikes(-5, +5))
namespace QuantConnect
{
    public class FutureOptionDataAlgorithm : QCAlgorithm
    {
        public override void Initialize()
        {
            SetStartDate(2020, 1, 28);
            SetEndDate(2020, 6, 1);
            SetCash(100000);
            
            var future = AddFuture(Futures.Metals.Gold, Resolution.Minute);
            future.SetFilter(0, 90);
            AddFutureOption(future.Symbol, universe => universe.Strikes(-5, +5));
        }
    }
}

The Future resolution must be less than or equal to the Future Option resolution. Future Options only have minute resolution available, so the Future must have tick, second, or minute resolution.

For more information about creating Future Options subscriptions, see Requesting Data or Future Options Universes.

Accessing Data

To get the current Future Options data, iterate through the OptionChains of the current Slice. Slice objects deliver unique events to your algorithm as they happen, but the Slice may not contain data for your Future Options at every time step.

def OnData(self, slice: Slice) -> None:
    for canonical_fop_symbol, chain in slice.OptionChains.items():
        for contract in chain:
            self.Log(f"{contract.Symbol} price at {slice.Time}: {contract.LastPrice}")
public override void OnData(Slice slice)
{
    foreach (var kvp in slice.OptionChains)
    {
        var canonicalFOPSymbol = kvp.Key;
        var chain = kvp.Value;
        foreach (var contract in chain)
        {
            Log($"{contract.Symbol} price at {slice.Time}: {contract.LastPrice}");
        }
    }
}

You can also iterate through the FuturesChains in the current Slice first.

def OnData(self, slice: Slice) -> None:
    for continuous_future_symbol, futures_chain in slice.FuturesChains.items():
        # Select a Future Contract and create its canonical FOP Symbol
        futures_contract = [contract for contract in futures_chain][0]
        canonical_fop_symbol = Symbol.CreateCanonicalOption(futures_contract.Symbol)
        option_chain = slice.OptionChains.get(canonical_fop_symbol)
        if option_chain:
            for fop_contract in option_chain:
                self.Log(f"{fop_contract.Symbol} price at {slice.Time}: {fop_contract.LastPrice}")
public override void OnData(Slice slice)
{
    foreach (var kvp in slice.FuturesChains)
    {
        var continuousContractSymbol = kvp.Key;
        var futuresChain = kvp.Value;
        
        // Select a Future Contract and create its canonical FOP Symbol
        var futuresContract = futuresChain.First();
        var canonicalFOPSymbol = QuantConnect.Symbol.CreateCanonicalOption(futuresContract.Symbol);
        if (slice.OptionChains.TryGetValue(canonicalFOPSymbol, out var optionChain))
        {
            foreach (var fopContract in optionChain)
            {
                Log($"{fopContract.Symbol} price at {slice.Time}: {fopContract.LastPrice}");
            }
        }
    }
}

For more information about accessing Future Options data, see Handling Data.

Historical Data

You can get historical US Future Options data in an algorithm and the Research Environment.

Historical Data In Algorithms

To get historical US Future Options data in an algorithm, call the History method with the Future Option contract Symbol. If there is no data in the period you request, the history result is empty.

# DataFrame
history_df = self.History(contract.Symbol, 100, Resolution.Minute)

# TradeBar objects
history_trade_bars = self.History[TradeBar](contract.Symbol, 100, Resolution.Minute)

# QuoteBar objects
history_quote_bars = self.History[QuoteBar](contract.Symbol, 100, Resolution.Minute)
// TradeBar objects 
var historyTradeBars = History(contract.Symbol, 100, Resolution.Minute);

// QuoteBar objects 
var historyQuoteBars = History<QuoteBar>(contract.Symbol, 100, Resolution.Minute);

For more information about historical data in algorithms, see History Requests.

Historical Data In Research

To get historical US Future Options data in the Research Environment for the entire Option chain of a Futures contract, call the GetOptionHistory method with the Futures contract Symbol.

qb = QuantBook()
future = qb.AddFuture(Futures.Indices.SP500EMini, Resolution.Minute)
future_symbols = qb.FutureChainProvider.GetFutureContractList(future.Symbol, datetime(2021, 12, 20))
future_contract_symbol = sorted(future_symbols, key=lambda s: s.ID.Date)[0]

start_time = datetime(2021, 12, 1)
end_time = datetime(2021, 12, 10)
option_history = qb.GetOptionHistory(future_contract_symbol, start_time, end_time, Resolution.Minute)

all_history = option_history.GetAllData()
expiries = option_history.GetExpiryDates() 
strikes = option_history.GetStrikes()
// The GetOptionHistory method isn't currently available for C#
// To track the feature progress, subscribe to https://github.com/QuantConnect/Lean/issues/6489

To get historical data for a single US Future Option contract, call the History method like you would in an algorithm but on the QuantBook object. For more information about historical data in the Research Environment, see Futures Options.

Example Applications

The US Future Options dataset enables you to accurately design Future Option strategies. Examples include the following strategies:

  • Selling out of the money Future Option contracts to collect the premium that the Option buyer pays
  • Buying put Options to hedge against downward price movement in Future contracts you bought
  • Exploiting arbitrage opportunities that arise when the price of Option contracts deviate from their theoretical value

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