/*
* QUANTCONNECT.COM - Democratizing Finance, Empowering Individuals.
* Lean Algorithmic Trading Engine v2.0. Copyright 2014 QuantConnect Corporation.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
using System;
using System.Collections.Generic;
using System.Linq;
using QuantConnect.Data;
using QuantConnect.Interfaces;
using QuantConnect.Orders;
using QuantConnect.Securities;
using QuantConnect.Securities.Option;
namespace QuantConnect.Algorithm.CSharp
{
///
/// This regression algorithm tests In The Money (ITM) index option expiry for short calls.
/// We expect 2 orders from the algorithm, which are:
///
/// * Initial entry, sell SPX Call Option (expiring ITM)
/// * Option assignment
///
/// Additionally, we test delistings for index options and assert that our
/// portfolio holdings reflect the orders the algorithm has submitted.
///
public class IndexOptionShortCallITMExpiryRegressionAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition
{
private Symbol _spx;
private Symbol _esOption;
private Symbol _expectedContract;
public override void Initialize()
{
SetStartDate(2021, 1, 4);
SetEndDate(2021, 1, 31);
SetCash(1000000);
Portfolio.SetMarginCallModel(MarginCallModel.Null);
SetSecurityInitializer(new CompositeSecurityInitializer(SecurityInitializer,
new FuncSecurityInitializer((security) =>
{
var option = security as Option;
// avoid getting assigned
option?.SetOptionAssignmentModel(new NullOptionAssignmentModel());
})));
_spx = AddIndex("SPX", Resolution.Minute).Symbol;
// Select a index option expiring ITM, and adds it to the algorithm.
_esOption = AddIndexOptionContract(OptionChain(_spx)
.Where(contractData => contractData.ID.StrikePrice <= 3200m && contractData.ID.OptionRight == OptionRight.Call && contractData.ID.Date.Year == 2021 && contractData.ID.Date.Month == 1)
.OrderByDescending(contractData => contractData.ID.StrikePrice)
.Take(1)
.Single(), Resolution.Minute).Symbol;
_expectedContract = QuantConnect.Symbol.CreateOption(_spx, Market.USA, OptionStyle.European, OptionRight.Call, 3200m, new DateTime(2021, 1, 15));
if (_esOption != _expectedContract)
{
throw new RegressionTestException($"Contract {_expectedContract} was not found in the chain");
}
Schedule.On(DateRules.Tomorrow, TimeRules.AfterMarketOpen(_spx, 1), () =>
{
MarketOrder(_esOption, -1);
});
}
public override void OnData(Slice slice)
{
// Assert delistings, so that we can make sure that we receive the delisting warnings at
// the expected time. These assertions detect bug #4872
foreach (var delisting in slice.Delistings.Values)
{
if (delisting.Type == DelistingType.Warning)
{
if (delisting.Time != new DateTime(2021, 1, 15))
{
throw new RegressionTestException($"Delisting warning issued at unexpected date: {delisting.Time}");
}
}
if (delisting.Type == DelistingType.Delisted)
{
if (delisting.Time != new DateTime(2021, 1, 16))
{
throw new RegressionTestException($"Delisting happened at unexpected date: {delisting.Time}");
}
}
}
}
public override void OnOrderEvent(OrderEvent orderEvent)
{
if (orderEvent.Status != OrderStatus.Filled)
{
// There's lots of noise with OnOrderEvent, but we're only interested in fills.
return;
}
if (!Securities.ContainsKey(orderEvent.Symbol))
{
throw new RegressionTestException($"Order event Symbol not found in Securities collection: {orderEvent.Symbol}");
}
var security = Securities[orderEvent.Symbol];
if (security.Symbol == _spx)
{
AssertIndexOptionOrderExercise(orderEvent, security, Securities[_expectedContract]);
}
else if (security.Symbol == _expectedContract)
{
AssertIndexOptionContractOrder(orderEvent, security);
}
else
{
throw new RegressionTestException($"Received order event for unknown Symbol: {orderEvent.Symbol}");
}
Log($"{orderEvent}");
}
private void AssertIndexOptionOrderExercise(OrderEvent orderEvent, Security index, Security optionContract)
{
if (orderEvent.Message.Contains("Assignment"))
{
if (orderEvent.FillPrice != 3200m)
{
throw new RegressionTestException("Option was not assigned at expected strike price (3200)");
}
if (orderEvent.Direction != OrderDirection.Sell || index.Holdings.Quantity != 0)
{
throw new RegressionTestException($"Expected Qty: 0 index holdings for assigned index option {index.Symbol}, found {index.Holdings.Quantity}");
}
}
}
private void AssertIndexOptionContractOrder(OrderEvent orderEvent, Security option)
{
if (orderEvent.Direction == OrderDirection.Sell && option.Holdings.Quantity != -1)
{
throw new RegressionTestException($"No holdings were created for option contract {option.Symbol}");
}
if (orderEvent.IsAssignment && option.Holdings.Quantity != 0)
{
throw new RegressionTestException($"Holdings were found after option contract was assigned: {option.Symbol}");
}
}
///
/// Ran at the end of the algorithm to ensure the algorithm has no holdings
///
/// The algorithm has holdings
public override void OnEndOfAlgorithm()
{
if (Portfolio.Invested)
{
throw new RegressionTestException($"Expected no holdings at end of algorithm, but are invested in: {string.Join(", ", Portfolio.Keys)}");
}
}
///
/// This is used by the regression test system to indicate if the open source Lean repository has the required data to run this algorithm.
///
public bool CanRunLocally { get; } = true;
///
/// This is used by the regression test system to indicate which languages this algorithm is written in.
///
public List Languages { get; } = new() { Language.CSharp, Language.Python };
///
/// Data Points count of all timeslices of algorithm
///
public long DataPoints => 19908;
///
/// Data Points count of the algorithm history
///
public int AlgorithmHistoryDataPoints => 1;
///
/// Final status of the algorithm
///
public AlgorithmStatus AlgorithmStatus => AlgorithmStatus.Completed;
///
/// This is used by the regression test system to indicate what the expected statistics are from running the algorithm
///
public Dictionary ExpectedStatistics => new Dictionary
{
{"Total Orders", "2"},
{"Average Win", "0%"},
{"Average Loss", "-0.95%"},
{"Compounding Annual Return", "-12.719%"},
{"Drawdown", "1.200%"},
{"Expectancy", "-1"},
{"Start Equity", "1000000"},
{"End Equity", "990476"},
{"Net Profit", "-0.952%"},
{"Sharpe Ratio", "-3.064"},
{"Sortino Ratio", "-0.889"},
{"Probabilistic Sharpe Ratio", "0.542%"},
{"Loss Rate", "100%"},
{"Win Rate", "0%"},
{"Profit-Loss Ratio", "0"},
{"Alpha", "-0.095"},
{"Beta", "0.019"},
{"Annual Standard Deviation", "0.031"},
{"Annual Variance", "0.001"},
{"Information Ratio", "-0.985"},
{"Tracking Error", "0.139"},
{"Treynor Ratio", "-5.019"},
{"Total Fees", "$0.00"},
{"Estimated Strategy Capacity", "$0"},
{"Lowest Capacity Asset", "SPX XL80P3GHDZXQ|SPX 31"},
{"Portfolio Turnover", "0.19%"},
{"Drawdown Recovery", "0"},
{"OrderListHash", "1b0b0418d3290ea45c38f6c4db8285d2"}
};
}
}