Files
quantconnect--lean/Algorithm.CSharp/OptionExerciseAssignRegressionAlgorithm.cs
T
Michael Handschuh 9ee61f425c Refactor regression algorithm to IRegressionAlgorithmDefinition
A mechanical refactoring was performed to make algorithms currently used in
regression algorithms to implement IRegressionAlgorithmDefinition, which allows
algorithms to define their own expected statistics and what languages should be
run as part of regression. The type name of the  C# type is used to determine the
file/model name for python. This was for simplicity, but if needed, could later be
refactored to expose more information, but for now the convention of keeping names
the same makes sense and just works easily.
2018-06-05 12:10:50 -04:00

142 lines
5.8 KiB
C#

/*
* 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.Data.Market;
using QuantConnect.Orders;
using QuantConnect.Securities;
namespace QuantConnect.Algorithm.CSharp
{
/// <summary>
/// This regression algorithm tests option exercise and assignment functionality
/// We open two positions and go with them into expiration. We expect to see our long position exercised and short position assigned.
/// </summary>
/// <meta name="tag" content="regression test" />
/// <meta name="tag" content="options" />
public class OptionExerciseAssignRegressionAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition
{
private const string UnderlyingTicker = "GOOG";
public readonly Symbol Underlying = QuantConnect.Symbol.Create(UnderlyingTicker, SecurityType.Equity, Market.USA);
public readonly Symbol OptionSymbol = QuantConnect.Symbol.Create(UnderlyingTicker, SecurityType.Option, Market.USA);
private bool _assignedOption = false;
public override void Initialize()
{
SetStartDate(2015, 12, 24);
SetEndDate(2015, 12, 24);
SetCash(100000);
var equity = AddEquity(UnderlyingTicker);
var option = AddOption(UnderlyingTicker);
// set our strike/expiry filter for this option chain
option.SetFilter(u => u.IncludeWeeklys()
.Strikes(-2, +2)
.Expiration(TimeSpan.Zero, TimeSpan.FromDays(10)));
// use the underlying equity as the benchmark
SetBenchmark(equity.Symbol);
}
public override void OnEndOfAlgorithm()
{
if (!_assignedOption)
{
throw new Exception("In the end, short ITM option position was not assigned.");
}
}
/// <summary>
/// Event - v3.0 DATA EVENT HANDLER: (Pattern) Basic template for user to override for receiving all subscription data in a single event
/// </summary>
/// <param name="slice">The current slice of data keyed by symbol string</param>
public override void OnData(Slice slice)
{
if (!Portfolio.Invested)
{
OptionChain chain;
if (slice.OptionChains.TryGetValue(OptionSymbol, out chain))
{
// find the second call strike under market price expiring today
var contracts = (
from optionContract in chain.OrderByDescending(x => x.Strike)
where optionContract.Right == OptionRight.Call
where optionContract.Expiry == Time.Date
where optionContract.Strike < chain.Underlying.Price
select optionContract
).Take(2);
if (contracts.Any())
{
MarketOrder(contracts.FirstOrDefault().Symbol, 1);
MarketOrder(contracts.Skip(1).FirstOrDefault().Symbol, -1);
}
}
}
}
/// <summary>
/// Order fill event handler. On an order fill update the resulting information is passed to this method.
/// </summary>
/// <param name="orderEvent">Order event details containing details of the evemts</param>
/// <remarks>This method can be called asynchronously and so should only be used by seasoned C# experts. Ensure you use proper locks on thread-unsafe objects</remarks>
public override void OnOrderEvent(OrderEvent orderEvent)
{
Log(orderEvent.ToString());
}
public override void OnAssignmentOrderEvent(OrderEvent assignmentEvent)
{
Log(assignmentEvent.ToString());
_assignedOption = true;
}
/// <summary>
/// This is used by the regression test system to indicate which languages this algorithm is written in.
/// </summary>
public Language[] Languages { get; } = { Language.CSharp, Language.Python };
/// <summary>
/// This is used by the regression test system to indicate what the expected statistics are from running the algorithm
/// </summary>
public Dictionary<string, string> ExpectedStatistics => new Dictionary<string, string>
{
{"Total Trades", "4"},
{"Average Win", "0.30%"},
{"Average Loss", "-0.33%"},
{"Compounding Annual Return", "-85.023%"},
{"Drawdown", "0.400%"},
{"Expectancy", "-0.358"},
{"Net Profit", "-0.350%"},
{"Sharpe Ratio", "0"},
{"Loss Rate", "67%"},
{"Win Rate", "33%"},
{"Profit-Loss Ratio", "0.93"},
{"Alpha", "0"},
{"Beta", "0"},
{"Annual Standard Deviation", "0"},
{"Annual Variance", "0"},
{"Information Ratio", "0"},
{"Tracking Error", "0"},
{"Treynor Ratio", "0"},
{"Total Fees", "$0.50"},
};
}
}