/
OptionOpenInterestRegressionAlgorithm.cs
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/
OptionOpenInterestRegressionAlgorithm.cs
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/*
* 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.Interfaces;
namespace QuantConnect.Algorithm.CSharp
{
/// <summary>
/// Options Open Interest data regression test.
/// </summary>
/// <meta name="tag" content="options" />
/// <meta name="tag" content="regression test" />
public class OptionOpenInterestRegressionAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition
{
public override void Initialize()
{
// this test opens position in the first day of trading, lives through stock split (7 for 1), and closes adjusted position on the second day
SetStartDate(2014, 06, 05);
SetEndDate(2014, 06, 06);
SetCash(1000000);
var option = AddOption("TWX");
option.SetFilter(-10, +10, TimeSpan.Zero, TimeSpan.FromDays(365 * 2));
// use the underlying equity as the benchmark
SetBenchmark("TWX");
}
/// <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)
{
foreach (var chain in slice.OptionChains)
{
foreach (var contract in chain.Value)
{
if (contract.Symbol.ID.StrikePrice == 72.5m &&
contract.Symbol.ID.OptionRight == OptionRight.Call &&
contract.Symbol.ID.Date == new DateTime(2016, 01, 15))
{
var history = History<OpenInterest>(contract.Symbol, TimeSpan.FromDays(1)).ToList();
if (history.Count == 0)
{
throw new Exception("Regression test failed: open interest history request is empty");
}
var security = Securities[contract.Symbol];
var openInterestCache = security.Cache.GetData<OpenInterest>();
if (openInterestCache == null)
{
throw new Exception("Regression test failed: current open interest isn't in the security cache");
}
if (slice.Time.Date == new DateTime(2014, 06, 05) && (contract.OpenInterest != 50 || security.OpenInterest != 50))
{
throw new Exception("Regression test failed: current open interest was not correctly loaded and is not equal to 50");
}
if (slice.Time.Date == new DateTime(2014, 06, 06) && (contract.OpenInterest != 70 || security.OpenInterest != 70))
{
throw new Exception("Regression test failed: current open interest was not correctly loaded and is not equal to 70");
}
if (slice.Time.Date == new DateTime(2014, 06, 06))
{
MarketOrder(contract.Symbol, 1);
MarketOnCloseOrder(contract.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 events</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());
}
/// <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 => 399332;
/// <summary>
/// Data Points count of the algorithm history
/// </summary>
public int AlgorithmHistoryDataPoints => 146806;
/// <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", "4"},
{"Average Win", "0%"},
{"Average Loss", "0%"},
{"Compounding Annual Return", "0%"},
{"Drawdown", "0%"},
{"Expectancy", "0"},
{"Start Equity", "1000000"},
{"End Equity", "999898"},
{"Net Profit", "0%"},
{"Sharpe Ratio", "0"},
{"Sortino Ratio", "0"},
{"Probabilistic Sharpe Ratio", "0%"},
{"Loss Rate", "0%"},
{"Win Rate", "0%"},
{"Profit-Loss Ratio", "0"},
{"Alpha", "0"},
{"Beta", "0"},
{"Annual Standard Deviation", "0"},
{"Annual Variance", "0"},
{"Information Ratio", "0"},
{"Tracking Error", "0"},
{"Treynor Ratio", "0"},
{"Total Fees", "$2.00"},
{"Estimated Strategy Capacity", "$0"},
{"Lowest Capacity Asset", "AOL W78ZERDZK1QE|AOL R735QTJ8XC9X"},
{"Portfolio Turnover", "0.07%"},
{"OrderListHash", "58c3e82532109b692429e1eb062296b5"}
};
}
}