Files
quantconnect--lean/Algorithm.CSharp/IndexOptionShortPutITMExpiryRegressionAlgorithm.cs
T
Ricardo Andrés Marino Rojas cce8945fe8
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Api Clean up, Documentation and Standarization part two (#7964)
* Add improvements

* Add improvments and unit tests

* Add XML comments

* Nit changes

* Add unit tests for OrderJsonConverter

* Improve unit tests

* Address requested changes

* Fix bugs

* Fix bugs

* Fix bugs and self-review

* Fix bugs

* Address requested changes

* Fix unit test bug

* Fix bugs

* Improve unit tests

* Solve bugs
2024-04-26 13:17:34 -03:00

232 lines
9.2 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.Interfaces;
using QuantConnect.Orders;
using QuantConnect.Securities;
using QuantConnect.Securities.Option;
namespace QuantConnect.Algorithm.CSharp
{
/// <summary>
/// This regression algorithm tests In The Money (ITM) index option expiry for short puts.
/// We expect 2 orders from the algorithm, which are:
///
/// * Initial entry, sell SPX Put 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.
/// </summary>
public class IndexOptionShortPutITMExpiryRegressionAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition
{
private Symbol _spx;
private Symbol _spxOption;
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.
_spxOption = AddIndexOptionContract(OptionChainProvider.GetOptionContractList(_spx, Time)
.Where(x => x.ID.StrikePrice <= 4200m && x.ID.OptionRight == OptionRight.Put && x.ID.Date.Year == 2021 && x.ID.Date.Month == 1)
.OrderByDescending(x => x.ID.StrikePrice)
.Take(1)
.Single(), Resolution.Minute).Symbol;
_expectedContract = QuantConnect.Symbol.CreateOption(_spx, Market.USA, OptionStyle.European, OptionRight.Put, 4200m, new DateTime(2021, 1, 15));
if (_spxOption != _expectedContract)
{
throw new Exception($"Contract {_expectedContract} was not found in the chain");
}
Schedule.On(DateRules.Tomorrow, TimeRules.AfterMarketOpen(_spx, 1), () =>
{
MarketOrder(_spxOption, -1);
});
}
public override void OnData(Slice data)
{
// Assert delistings, so that we can make sure that we receive the delisting warnings at
// the expected time. These assertions detect bug #4872
foreach (var delisting in data.Delistings.Values)
{
if (delisting.Type == DelistingType.Warning)
{
if (delisting.Time != new DateTime(2021, 1, 15))
{
throw new Exception($"Delisting warning issued at unexpected date: {delisting.Time}");
}
}
if (delisting.Type == DelistingType.Delisted)
{
if (delisting.Time != new DateTime(2021, 1, 16))
{
throw new Exception($"Delisting happened at unexpected date: {delisting.Time}");
}
}
}
}
public override void OnOrderEvent(OrderEvent orderEvent)
{
if (orderEvent.Status != OrderStatus.Filled)
{
// There's lots of noise with OnOrderEvent, but we're only interested in fills.
return;
}
if (!Securities.ContainsKey(orderEvent.Symbol))
{
throw new Exception($"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 Exception($"Received order event for unknown Symbol: {orderEvent.Symbol}");
}
Log($"{orderEvent}");
}
private void AssertIndexOptionOrderExercise(OrderEvent orderEvent, Security index, Security optionContract)
{
if (orderEvent.Message.Contains("Assignment"))
{
if (orderEvent.FillPrice != 4200)
{
throw new Exception("Option was not assigned at expected strike price (4200)");
}
if (orderEvent.Direction != OrderDirection.Buy || index.Holdings.Quantity != 0)
{
throw new Exception($"Expected Qty: 0 index holdings for assigned index option {index.Symbol}, found {index.Holdings.Quantity}");
}
}
else if (index.Holdings.Quantity != 0)
{
throw new Exception($"Expected no holdings in index: {index.Symbol}");
}
}
private void AssertIndexOptionContractOrder(OrderEvent orderEvent, Security option)
{
if (orderEvent.Direction == OrderDirection.Sell && option.Holdings.Quantity != -1)
{
throw new Exception($"No holdings were created for option contract {option.Symbol}");
}
if (orderEvent.IsAssignment && option.Holdings.Quantity != 0)
{
throw new Exception($"Holdings were found after option contract was assigned: {option.Symbol}");
}
}
/// <summary>
/// Ran at the end of the algorithm to ensure the algorithm has no holdings
/// </summary>
/// <exception cref="Exception">The algorithm has holdings</exception>
public override void OnEndOfAlgorithm()
{
if (Portfolio.Invested)
{
throw new Exception($"Expected no holdings at end of algorithm, but are invested in: {string.Join(", ", Portfolio.Keys)}");
}
}
/// <summary>
/// This is used by the regression test system to indicate if the open source Lean repository has the required data to run this algorithm.
/// </summary>
public bool CanRunLocally { get; } = 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>
/// Data Points count of all timeslices of algorithm
/// </summary>
public long DataPoints => 19605;
/// <summary>
/// Data Points count of the algorithm history
/// </summary>
public int AlgorithmHistoryDataPoints => 0;
/// <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 Orders", "2"},
{"Average Win", "4.98%"},
{"Average Loss", "0%"},
{"Compounding Annual Return", "14.302%"},
{"Drawdown", "0.300%"},
{"Expectancy", "0"},
{"Start Equity", "1000000"},
{"End Equity", "1009444"},
{"Net Profit", "0.944%"},
{"Sharpe Ratio", "3.023"},
{"Sortino Ratio", "47.732"},
{"Probabilistic Sharpe Ratio", "87.326%"},
{"Loss Rate", "0%"},
{"Win Rate", "100%"},
{"Profit-Loss Ratio", "0"},
{"Alpha", "0.098"},
{"Beta", "-0.021"},
{"Annual Standard Deviation", "0.032"},
{"Annual Variance", "0.001"},
{"Information Ratio", "0.38"},
{"Tracking Error", "0.144"},
{"Treynor Ratio", "-4.555"},
{"Total Fees", "$0.00"},
{"Estimated Strategy Capacity", "$0"},
{"Lowest Capacity Asset", "SPX 31KC0UJHC75TA|SPX 31"},
{"Portfolio Turnover", "0.19%"},
{"OrderListHash", "9040053de564aa65587e2daf5f9b22be"}
};
}
}