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ContinuousFutureOpenPositionsLiquidationOnDelistingRegressionAlgorithm.cs
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238 lines (207 loc) · 9.09 KB
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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.UniverseSelection;
using QuantConnect.Interfaces;
using QuantConnect.Orders;
using QuantConnect.Securities;
using QuantConnect.Securities.Future;
namespace QuantConnect.Algorithm.CSharp
{
/// <summary>
/// Regression algorithm reproducing GH issue #8386 and other related bugs.
/// It asserts that open positions are liquidated when a contract is delisted, even if the contract was added as an internal subscription.
/// It also asserts that the contract is not tradable after being delisted.
/// </summary>
public class ContinuousFutureOpenPositionsLiquidationOnDelistingRegressionAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition
{
private Future _continuousContract;
private Symbol _prevContractSymbol;
private bool _traded;
private bool _mapped;
private bool _delistedContractChecked;
private DateTime _firstMappedContractRemovalTime;
private int _removalCount;
public override void Initialize()
{
SetStartDate(2013, 10, 08);
SetEndDate(2013, 12, 30);
_continuousContract = AddFuture(Futures.Indices.SP500EMini,
dataNormalizationMode: DataNormalizationMode.BackwardsRatio,
dataMappingMode: DataMappingMode.OpenInterest,
contractDepthOffset: 0
);
}
public override void OnData(Slice slice)
{
if (!_traded && _continuousContract.HasData)
{
var ticket = MarketOrder(_continuousContract.Mapped, 1);
if (ticket.Status == OrderStatus.Invalid)
{
throw new RegressionTestException($"Order should be valid: {ticket}");
}
_traded = true;
}
if (slice.SymbolChangedEvents.Count > 0)
{
foreach (var change in slice.SymbolChangedEvents.Values)
{
Debug($"[{Time}] :: Mapping: {change}");
_prevContractSymbol = Symbol(change.OldSymbol);
_mapped = true;
}
}
if (!_delistedContractChecked &&
_prevContractSymbol != null &&
Time.Date > _prevContractSymbol.ID.Date &&
IsMarketOpen(_prevContractSymbol))
{
_delistedContractChecked = true;
var delistedContract = Securities.Total.Single(sec => sec.Symbol == _prevContractSymbol);
if (delistedContract.Invested)
{
throw new RegressionTestException($"Position should be closed when {_prevContractSymbol} got delisted {_prevContractSymbol.ID.Date}");
}
if (!delistedContract.IsDelisted)
{
throw new RegressionTestException($"Contract should be delisted: {delistedContract.Symbol}");
}
if (delistedContract.IsTradable)
{
throw new RegressionTestException($"Contract should not be tradable: {delistedContract.Symbol}");
}
var ticket = MarketOrder(_prevContractSymbol, 1);
if (ticket.Status != OrderStatus.Invalid)
{
throw new RegressionTestException($"Delisted contract order should be invalid: {ticket}");
}
}
}
public override void OnSecuritiesChanged(SecurityChanges changes)
{
if (_prevContractSymbol != null)
{
if (changes.RemovedSecurities.Any(x => x.Symbol == _prevContractSymbol))
{
throw new RegressionTestException($"Previous contract symbol {_prevContractSymbol} should not be removed as a non-internal security");
}
changes.FilterInternalSecurities = false;
if (!changes.RemovedSecurities.Any(x => x.Symbol == _prevContractSymbol))
{
throw new RegressionTestException($"Previous contract symbol {_prevContractSymbol} should be removed as an internal security");
}
_firstMappedContractRemovalTime = Time;
_removalCount++;
}
changes.FilterInternalSecurities = false;
Debug($"[{Time}] :: {changes}");
}
public override void OnOrderEvent(OrderEvent orderEvent)
{
Debug($"[{Time}] :: Order event: {orderEvent}");
}
public override void OnEndOfAlgorithm()
{
if (!_traded)
{
throw new RegressionTestException("No trades have been made");
}
if (!_mapped)
{
throw new RegressionTestException("No mapping events have been fired");
}
if (!_delistedContractChecked)
{
throw new RegressionTestException("No delisted contract has been checked");
}
if (_prevContractSymbol == null)
{
throw new RegressionTestException("No previous contract symbol has been set");
}
var tradedContract = Securities.Total.Single(sec => sec.Symbol == _prevContractSymbol);
if (tradedContract.Invested)
{
throw new RegressionTestException($"Position should be closed when {_prevContractSymbol} got delisted on {_prevContractSymbol.ID.Date}");
}
if (_firstMappedContractRemovalTime == default || _firstMappedContractRemovalTime >= _prevContractSymbol.ID.Date)
{
throw new RegressionTestException($"First mapped contract should have been removed before it's expiry date");
}
if (_removalCount != 1)
{
throw new RegressionTestException($"The mapped contract should have been removed once only");
}
}
/// <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 List<Language> Languages { get; } = new() { Language.CSharp };
/// <summary>
/// Data Points count of all timeslices of algorithm
/// </summary>
public virtual long DataPoints => 159274;
/// <summary>
/// Data Points count of the algorithm history
/// </summary>
public int AlgorithmHistoryDataPoints => 0;
/// <summary>
/// Final status of the algorithm
/// </summary>
public AlgorithmStatus AlgorithmStatus => AlgorithmStatus.Completed;
/// <summary>
/// This is used by the regression test system to indicate what the expected statistics are from running the algorithm
/// </summary>
public virtual Dictionary<string, string> ExpectedStatistics => new Dictionary<string, string>
{
{"Total Orders", "2"},
{"Average Win", "7.02%"},
{"Average Loss", "0%"},
{"Compounding Annual Return", "34.386%"},
{"Drawdown", "1.600%"},
{"Expectancy", "0"},
{"Start Equity", "100000"},
{"End Equity", "107016.6"},
{"Net Profit", "7.017%"},
{"Sharpe Ratio", "3.217"},
{"Sortino Ratio", "0"},
{"Probabilistic Sharpe Ratio", "99.828%"},
{"Loss Rate", "0%"},
{"Win Rate", "100%"},
{"Profit-Loss Ratio", "0"},
{"Alpha", "0.227"},
{"Beta", "0.109"},
{"Annual Standard Deviation", "0.084"},
{"Annual Variance", "0.007"},
{"Information Ratio", "-1.122"},
{"Tracking Error", "0.112"},
{"Treynor Ratio", "2.49"},
{"Total Fees", "$2.15"},
{"Estimated Strategy Capacity", "$1700000000.00"},
{"Lowest Capacity Asset", "ES VMKLFZIH2MTD"},
{"Portfolio Turnover", "2.01%"},
{"Drawdown Recovery", "16"},
{"OrderListHash", "838e662caaa5a385c43ef27df1efbaf4"}
};
}
}