AlgoSeek
US Index Options
Introduction
The US Index Options dataset by AlgoSeek covers European Option contracts for 3 US Indices: SPX, VIX, and NDX. The dataset starts from June 2010 and is delivered on minute resolution. This dataset is created by monitoring the Options Price Reporting Authority (OPRA) data feed, which consolidates last sale and quotation information originating from the national securities exchanges that have been approved by the Securities and Exchange Commission.
For more information about the US Index 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 Index Options dataset:
from QuantConnect.DataSource import * self.index_symbol = self.AddIndex('VIX').Symbol option = self.AddIndexOption(self.index_symbol) option.SetFilter(-2, 2, 0, 90) self.option_symbol = option.Symbol
using QuantConnect.DataSource; _indexSymbol = AddIndex("VIX").Symbol; var option = AddIndexOption(_indexSymbol); option.SetFilter(-2, 2, 0, 90); _optionSymbol = option.Symbol;
Supported Assets
The following table shows the available Index Options:
Underlying Index | Underlying Ticker | Target Ticker | Standard Contracts | Weekly Contracts | Tradable on Expiry Day |
---|---|---|---|---|---|
S&P500 | VIX | ![]() | |||
S&P500 | VIX | VIXW | ![]() | ||
S&P500 | SPX | ![]() | |||
S&P500 | SPX | SPXW | ![]() | ![]() | |
NASDAQ-100 | NDX | ![]() | |||
NASDAQ-100 | NDX | NDXP | ![]() | ![]() | |
NASDAQ-100 | NDX | NQX | ![]() | ![]() | ![]() |
For more information about each underlying Index, see Supported Indices.
Requesting Data
To add US Index Options data to your algorithm, call the AddIndexOption method. Save a reference to the Index Option Symbol so you can access the data later in your algorithm.
class IndexOptionsDataAlgorithm(QCAlgorithm): def Initialize(self) -> None: self.SetStartDate(2021, 1, 1); self.SetEndDate(2021, 6, 1); self.SetCash(1000000); self.index_symbol = self.AddIndex('VIX').Symbol standard_option = self.AddIndexOption(self.index_symbol) standard_option.SetFilter(-2, 2, 0, 90) self.standard_option_symbol = standard_option.Symbol weekly_option = self.AddIndexOption(self.index_symbol, "VIXW") weekly_option.SetFilter(-2, 2, 0, 90) self.weekly_option_symbol = weekly_option.Symbol
namespace QuantConnect { public class IndexOptionsDataAlgorithm : QCAlgorithm { private Symbol _indexSymbol, _standardOptionSymbol, _weeklyOptionSymbol; public override void Initialize() { SetStartDate(2021, 1, 1); SetEndDate(2021, 6, 1); SetCash(100000); _indexSymbol = AddIndex("VIX").Symbol; var standardOption = AddIndexOption(_indexSymbol); standardOption.SetFilter(-2, 2, 0, 90); _standardOptionSymbol = standardOption.Symbol; var weeklyOption = AddIndexOption(_indexSymbol, "VIXW"); weeklyOption.SetFilter(-2, 2, 0, 90); _weeklyOptionSymbol = weeklyOption.Symbol; } } }
The Index resolution must be less than or equal to the Index Option resolution. For example, if you set the Index resolution to minute, then you must set the Index Option resolution to minute, hour, or daily.
For more information about creating US Index Option subscriptions, see Requesting Data or Index Options Universes.
Accessing Data
To get the current US Index Options data, index the OptionChains property of the current Slice with the canonical Index Option Symbol. Slice objects deliver unique events to your algorithm as they happen, but the Slice may not contain data for your Index Option at every time step.
def OnData(self, slice: Slice) -> None: standard_chain = slice.OptionChains.get(self.standard_option_symbol) if standard_chain: for contract in standard_chain: self.Log(f"{contract.Symbol} price at {slice.Time}: {contract.LastPrice}") weekly_chain = slice.OptionChains.get(self.weekly_option_symbol) if weekly_chain: for contract in weekly_chain: self.Log(f"{contract.Symbol} price at {slice.Time}: {contract.LastPrice}")
public override void OnData(Slice slice) { if (slice.OptionChains.ContainsKey(_standardOptionSymbol)) { var standardChain = slice.OptionChains[_standardOptionSymbol]; foreach (var contract in standardChain) { Log($"{contract.Symbol} price at {slice.Time}: {contract.LastPrice}"); } } if (slice.OptionChains.ContainsKey(_weeklyOptionSymbol)) { var weeklyChain = slice.OptionChains[_weeklyOptionSymbol]; foreach (var contract in weeklyChain) { Log($"{contract.Symbol} price at {slice.Time}: {contract.LastPrice}"); } } }
You can also iterate through all of the OptionChain objects in the current Slice.
def OnData(self, slice: Slice) -> None: for canonical_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 canonicalSymbol = kvp.Key; var chain = kvp.Value; foreach (var contract in chain) { Log($"{contract.Symbol} price at {slice.Time}: {contract.LastPrice}"); } } }
For more information about accessing US Index Options data, see Handling Data.
Historical Data
You can get historical US Index Options data in an algorithm and the Research Environment.
Historical Data In Algorithms
To get historical US Index Options data in an algorithm, call the History method with the Index 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 Index Options data in the Research Environment for an entire Option chain, call the GetOptionHistory method with the canonical Option Symbol.
qb = QuantBook() index_symbol = qb.AddIndex('VIX').Symbol option = qb.AddIndexOption(index_symbol) # or qb.AddIndexOption(index_symbol, "VIXW") option.SetFilter(-2, 2, 0, 90) history = qb.GetOptionHistory(option.Symbol, datetime(2020, 6, 1), datetime(2020, 6, 5)) all_history = history.GetAllData() expiries = history.GetExpiryDates() strikes = history.GetStrikes()
var qb = new QuantBook(); var indexSymbol = qb.AddIndex("VIX").Symbol; var option = qb.AddIndexOption(indexSymbol); // or qb.AddIndexOption(indexSymbol, "VIXW"); option.SetFilter(-2, 2, 0, 90); var history = qb.GetOptionHistory(option.Symbol, new DateTime(2020, 6, 1), new DateTime(2020, 6, 5)); var contracts = history.SelectMany(x => x.OptionChains.SelectMany(y => y.Value.Contracts.Keys)).Distinct().ToList(); var expiries = contracts.Select(x => x.ID.Date).Distinct().ToList(); var strikes = contracts.Select(x => x.ID.StrikePrice).Distinct().ToList();
To get historical data for a single US Index 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 Index Options.
Example Applications
The US Index Options dataset enables you to accurately design strategies for Index Options. Examples include the following strategies:
- Buying VIX call Options to hedge against upcoming volatility
- Buying VIX put Options to capture the natural downward price movement in the VIX index
- Buying SPX put Options to protect against downward price movement in the S&P 500