/*
* 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.Orders;
using QuantConnect.Securities;
using QuantConnect.Securities.Option;
using QuantConnect.Securities.Positions;
namespace QuantConnect.Algorithm.CSharp
{
///
/// Algorithm asserting that the margin call events are fired when trading options strategies
///
public class OptionStrategyMarginCallEventsAlgorithm : OptionsMarginCallEventsAlgorithmBase
{
private Symbol _optionSymbol;
private OptionStrategy _optionStrategy;
protected override int OriginalQuantity => -50;
protected override int ExpectedOrdersCount => 4;
public override void Initialize()
{
SetStartDate(2015, 12, 24);
SetEndDate(2015, 12, 30);
// -50 of a straddle will use almost all of 900k, so will eventually trigger margin call
SetCash(900000);
var equity = AddEquity("GOOG");
var option = AddOption(equity.Symbol);
_optionSymbol = option.Symbol;
option.SetFilter(u => u.Strikes(-2, +2)
.Expiration(0, 180));
Portfolio.MarginCallModel = new CustomMarginCallModel(Portfolio, DefaultOrderProperties);
}
public override void OnData(Slice slice)
{
if (!Portfolio.Invested)
{
if (IsMarketOpen(_optionSymbol) && slice.OptionChains.TryGetValue(_optionSymbol, out var chain))
{
var callContracts = chain.Where(contract => contract.Right == OptionRight.Call)
.GroupBy(x => x.Expiry)
.OrderBy(grouping => grouping.Key)
.First()
.OrderByDescending(x => x.Strike)
.ToList();
var expiry = callContracts[0].Expiry;
var strike = callContracts[0].Strike;
_optionStrategy = OptionStrategies.Straddle(_optionSymbol, strike, expiry);
Order(_optionStrategy, OriginalQuantity);
}
}
}
public override void OnMarginCall(List requests)
{
base.OnMarginCall(requests);
var positionGroup = Portfolio.Positions.Groups.Single();
foreach (var request in requests)
{
var position = positionGroup.GetPosition(request.Symbol);
// We expect the margin call to be for one unit of the strategy in the opposite direction
var expectedQuantity = -Math.Sign(position.Quantity) * 1;
if (request.Quantity != expectedQuantity)
{
throw new RegressionTestException($"Expected margin call order quantity to be {expectedQuantity} but was {request.Quantity}");
}
}
}
///
/// 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 override bool CanRunLocally { get; } = false;
///
/// This is used by the regression test system to indicate which languages this algorithm is written in.
///
public override List Languages { get; } = new() { Language.CSharp };
///
/// Data Points count of all timeslices of algorithm
///
public override long DataPoints => 3132879;
///
/// Data Points count of the algorithm history
///
public override int AlgorithmHistoryDataPoints => 0;
///
/// Final status of the algorithm
///
public override AlgorithmStatus AlgorithmStatus => AlgorithmStatus.Completed;
///
/// This is used by the regression test system to indicate what the expected statistics are from running the algorithm
///
public override Dictionary ExpectedStatistics => new Dictionary
{
{"Total Orders", "4"},
{"Average Win", "0%"},
{"Average Loss", "-0.01%"},
{"Compounding Annual Return", "-4.893%"},
{"Drawdown", "0.700%"},
{"Expectancy", "-1"},
{"Net Profit", "-0.092%"},
{"Sharpe Ratio", "0"},
{"Probabilistic Sharpe Ratio", "0%"},
{"Loss Rate", "100%"},
{"Win Rate", "0%"},
{"Profit-Loss Ratio", "0"},
{"Alpha", "0"},
{"Beta", "0"},
{"Annual Standard Deviation", "0"},
{"Annual Variance", "0"},
{"Information Ratio", "-0.681"},
{"Tracking Error", "0.092"},
{"Treynor Ratio", "0"},
{"Total Fees", "$1252.00"},
{"Estimated Strategy Capacity", "$130000.00"},
{"Lowest Capacity Asset", "GOOCV W78ZFMML01JA|GOOCV VP83T1ZUHROL"},
{"Portfolio Turnover", "1.17%"},
{"OrderListHash", "681be68373c2f38e51456d7f8010e7d3"}
};
}
}