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Hey Ashley! We downloaded BMY all the way back to get a base line for a few tests, but currently all symbols (except BMY) are only done from Jan 1 2014 to August 2016. We're uploading all the data it just takes time as there are many terabytes! 2013 is on its way up now -- ETA Monday night.

The one we set as the BasicTemplate is a bad example though as the filter is very strict and its almost never hit. We'll update that shortly -- in the meantime I've updated the clone you gave to a Google contract. 

I tried a basic strategy with SPX and I found there was no data, OnData kept being passed null. Are you doing to add data for future and index options? Index in particular are pretty popular.

Hey Lucas! We have SPX data but the modeling isn't really setup for index options yet. We completely agree this is a high priority and we've mapped out the "todo" list for its support.

Before we dive into building new features we want to make sure the existing code is stable and working as people expect. This might take a few weeks while we're debugging various issues.

In the meantime I'd recommend you use SPY as an equity-option proxy for the SPX index-options.

Thanks for the suggestion @User65267; Futures is up to date and completely processed.

Options is finished processing but patchy. There were bugs in AlgoSeek's data and we're getting them to fix it. As of today I wouldn't say its reliable to backtest on options as it may be missing strikes. AlgoSeek gave me an ETA of 2 weeks for the fixed data.

Do we have index options data available now for SPX? The data managers shows it's currently trading but after having tried numerous dates and filters, i'm not getting chains into OnData. Works for GOOG etc.

from clr import AddReference
AddReference("System")
AddReference("QuantConnect.Algorithm")
AddReference("QuantConnect.Common")

from System import *
from QuantConnect import *
from QuantConnect.Algorithm import *
from datetime import timedelta

### <summary>
### This example demonstrates how to add options for a given underlying equity security.
### It also shows how you can prefilter contracts easily based on strikes and expirations, and how you
### can inspect the option chain to pick a specific option contract to trade.
### </summary>
### <meta name="tag" content="using data" />
### <meta name="tag" content="options" />
### <meta name="tag" content="filter selection" />
class BasicTemplateOptionsAlgorithm(QCAlgorithm):

def Initialize(self):
self.SetStartDate(2017, 12, 1)
self.SetEndDate(2018, 1, 8)
self.SetCash(100000)

option = self.AddOption("SPX")
self.option_symbol = option.Symbol

# set our strike/expiry filter for this option chain
option.SetFilter(-100, +100, timedelta(0), timedelta(180))

# use the underlying equity as the benchmark
self.SetBenchmark("SPX")

def OnData(self,slice):
if self.Portfolio.Invested: return

for kvp in slice.OptionChains:
if kvp.Key != self.option_symbol: continue
chain = kvp.Value

# we sort the contracts to find at the money (ATM) contract with farthest expiration
contracts = sorted(sorted(sorted(chain, \
key = lambda x: abs(chain.Underlying.Price - x.Strike)), \
key = lambda x: x.Expiry, reverse=True), \
key = lambda x: x.Right, reverse=True)

# if found, trade it
if len(contracts) == 0: continue

for c in contracts:
self.Log("contract: {0} strike: {1} right: {2} expiry: {3} open interest: {4} last price: {5} bid: {6} bid size: {7} ask: {8} ask size: {9}".format(str(c), c.Strike, c.Right, c.Expiry, c.OpenInterest, c.LastPrice, c.BidPrice, c.BidSize, c.AskPrice, c.AskSize))

symbol = contracts[0].Symbol

self.MarketOrder(symbol, 1)
self.MarketOnCloseOrder(symbol, -1)

def OnOrderEvent(self, orderEvent):
self.Log(str(orderEvent))

Hi Tyler,

We don't support index and index options. You could use the ETF like SPY

SPY could be a substitute only if you supported changing its option style from American to European. I mean maybe add some flag to disable early excercise.

Right now, if I am actually interested in SPX options but use SPY options instead, the backtest throws in all these random early excercise events which make it unrealistic for SPX.