/*
* 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 QuantConnect.Data;
using QuantConnect.Interfaces;
using QuantConnect.Securities;
using System.Collections.Generic;
using QuantConnect.Securities.Future;
using System;
using QuantConnect.Data.UniverseSelection;
using System.Linq;
namespace QuantConnect.Algorithm.CSharp
{
///
/// Regression algorithm asserting that continuous future universe selection happens right away for all futures.
/// An example case is ES and Milk futures, which have different time zones. ES is in New York and Milk is in Chicago.
/// ES selection would happen first just because of this, but all futures should have a mapped contract right away.
///
public class ContinuousFutureImmediateUniverseSelectionRegressionAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition
{
private Future _es;
private Future _milk;
private bool _dataReceived;
private DateTime _startDateUtc;
private DateTime _esSelectionTimeUtc;
private DateTime _milkSelectionTimeUtc;
private bool _securitiesChangedEventReceived;
public override void Initialize()
{
SetStartDate(2013, 10, 7);
SetEndDate(2013, 10, 11);
_startDateUtc = StartDate.ConvertToUtc(TimeZone);
// ES time zone is New York
_es = AddFuture(Futures.Indices.SP500EMini,
dataNormalizationMode: DataNormalizationMode.BackwardsRatio,
dataMappingMode: DataMappingMode.OpenInterestAnnual,
contractDepthOffset: 0,
extendedMarketHours: true);
// Milk time zone is Chicago, so market open will be after ES
_milk = AddFuture(Futures.Dairy.ClassIIIMilk,
dataNormalizationMode: DataNormalizationMode.BackwardsRatio,
dataMappingMode: DataMappingMode.OpenInterestAnnual,
contractDepthOffset: 0,
extendedMarketHours: true);
_es.SetFilter(universe =>
{
if (_esSelectionTimeUtc == DateTime.MinValue)
{
_esSelectionTimeUtc = universe.LocalTime.ConvertToUtc(_es.Exchange.TimeZone);
if (_esSelectionTimeUtc != _startDateUtc)
{
throw new RegressionTestException($"Expected ES universe selection to happen on algorithm start ({_startDateUtc}), " +
$"but happened on {_esSelectionTimeUtc}");
}
}
return universe;
});
_milk.SetFilter(universe =>
{
if (_milkSelectionTimeUtc == DateTime.MinValue)
{
_milkSelectionTimeUtc = universe.LocalTime.ConvertToUtc(_milk.Exchange.TimeZone);
if (_milkSelectionTimeUtc != _startDateUtc)
{
throw new RegressionTestException($"Expected DC universe selection to happen on algorithm start ({_startDateUtc}), " +
$"but happened on {_milkSelectionTimeUtc}");
}
}
return universe;
});
}
public override void OnData(Slice slice)
{
_dataReceived = true;
if (_es.Mapped == null)
{
throw new RegressionTestException("ES mapped contract is null");
}
// This is what we actually want to assert: even though Milk future time zone is 1 hour behind,
// we should have a mapped contract right away.
if (_milk.Mapped == null)
{
throw new RegressionTestException("DC mapped contract is null");
}
Log($"{slice.Time} :: ES Mapped Contract: {_es.Mapped}. DC Mapped Contract: {_milk.Mapped}");
}
public override void OnSecuritiesChanged(SecurityChanges changes)
{
if (!_securitiesChangedEventReceived)
{
_securitiesChangedEventReceived = true;
if (Time != StartDate)
{
throw new RegressionTestException($"Expected OnSecuritiesChanged to be called on algorithm start ({StartDate}), " +
$"but happened on {Time}");
}
if (_esSelectionTimeUtc == DateTime.MinValue)
{
throw new RegressionTestException("ES universe selection time was not set");
}
if (_milkSelectionTimeUtc == DateTime.MinValue)
{
throw new RegressionTestException("DC universe selection time was not set");
}
if (changes.AddedSecurities.Count == 0 || changes.RemovedSecurities.Count != 0)
{
throw new RegressionTestException($"Unexpected securities changes. Expected multiple securities added and none removed " +
$"but got {changes.AddedSecurities.Count} securities added and {changes.RemovedSecurities.Count} removed.");
}
if (!changes.AddedSecurities.Any(x => !x.Symbol.IsCanonical() && x.Symbol.Canonical == _es.Symbol))
{
throw new RegressionTestException($"Expected to find a multiple futures for ES");
}
if (!changes.AddedSecurities.Any(x => !x.Symbol.IsCanonical() && x.Symbol.Canonical == _milk.Symbol))
{
throw new RegressionTestException($"Expected to find a multiple futures for DC");
}
}
}
public override void OnEndOfAlgorithm()
{
// Just a protection in case data is changed to make sure assertions in OnData were done.
if (!_dataReceived)
{
throw new RegressionTestException("No data was received so no checks were done");
}
if (!_securitiesChangedEventReceived)
{
throw new RegressionTestException("OnSecuritiesChanged was not called");
}
}
///
/// 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 bool CanRunLocally { get; } = true;
///
/// This is used by the regression test system to indicate which languages this algorithm is written in.
///
public List Languages { get; } = new() { Language.CSharp };
///
/// Data Points count of all timeslices of algorithm
///
public long DataPoints => 445961;
///
/// Data Points count of the algorithm history
///
public int AlgorithmHistoryDataPoints => 0;
///
/// Final status of the algorithm
///
public AlgorithmStatus AlgorithmStatus => AlgorithmStatus.Completed;
///
/// This is used by the regression test system to indicate what the expected statistics are from running the algorithm
///
public Dictionary ExpectedStatistics => new Dictionary
{
{"Total Orders", "0"},
{"Average Win", "0%"},
{"Average Loss", "0%"},
{"Compounding Annual Return", "0%"},
{"Drawdown", "0%"},
{"Expectancy", "0"},
{"Start Equity", "100000"},
{"End Equity", "100000"},
{"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", "-8.91"},
{"Tracking Error", "0.223"},
{"Treynor Ratio", "0"},
{"Total Fees", "$0.00"},
{"Estimated Strategy Capacity", "$0"},
{"Lowest Capacity Asset", ""},
{"Portfolio Turnover", "0%"},
{"Drawdown Recovery", "0"},
{"OrderListHash", "d41d8cd98f00b204e9800998ecf8427e"}
};
}
}