/*
* 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 QuantConnect.Data;
using QuantConnect.Data.UniverseSelection;
using QuantConnect.Interfaces;
using QuantConnect.Orders;
using QuantConnect.Securities;
using QuantConnect.Securities.Future;
namespace QuantConnect.Algorithm.CSharp
{
///
/// This algorithm tests and demonstrates EUREX futures subscription and trading:
/// - It tests contracts rollover by adding a continuous future and asserting that mapping happens at some point.
/// - It tests basic trading by buying a contract and holding it until expiration.
/// - It tests delisting and asserts the holdings are liquidated after that.
///
public class BasicTemplateEurexFuturesAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition
{
private Future _continuousContract;
private Symbol _mappedSymbol;
private Symbol _contractToTrade;
private int _mappingsCount;
private decimal _boughtQuantity;
private decimal _liquidatedQuantity;
private bool _delisted;
public override void Initialize()
{
SetStartDate(2024, 5, 30);
SetEndDate(2024, 6, 23);
SetAccountCurrency(Currencies.EUR);
SetCash(1000000);
_continuousContract = AddFuture(Futures.Indices.EuroStoxx50, Resolution.Minute,
dataNormalizationMode: DataNormalizationMode.BackwardsRatio,
dataMappingMode: DataMappingMode.FirstDayMonth,
contractDepthOffset: 0);
_continuousContract.SetFilter(TimeSpan.Zero, TimeSpan.FromDays(180));
_mappedSymbol = _continuousContract.Mapped;
var benchmark = AddIndex("SX5E");
SetBenchmark(benchmark.Symbol);
var seeder = new FuncSecuritySeeder(GetLastKnownPrices);
SetSecurityInitializer(security => seeder.SeedSecurity(security));
}
public override void OnData(Slice slice)
{
foreach (var changedEvent in slice.SymbolChangedEvents.Values)
{
if (++_mappingsCount > 1)
{
throw new RegressionTestException($"{Time} - Unexpected number of symbol changed events (mappings): {_mappingsCount}. " +
$"Expected only 1.");
}
Debug($"{Time} - SymbolChanged event: {changedEvent}");
if (changedEvent.OldSymbol != _mappedSymbol.ID.ToString())
{
throw new RegressionTestException($"{Time} - Unexpected symbol changed event old symbol: {changedEvent}");
}
if (changedEvent.NewSymbol != _continuousContract.Mapped.ID.ToString())
{
throw new RegressionTestException($"{Time} - Unexpected symbol changed event new symbol: {changedEvent}");
}
// Let's trade the previous mapped contract, so we can hold it until expiration for testing
// (will be sooner than the new mapped contract)
_contractToTrade = _mappedSymbol;
_mappedSymbol = _continuousContract.Mapped;
}
// Let's trade after the mapping is done
if (_contractToTrade != null && _boughtQuantity == 0 && Securities[_contractToTrade].Exchange.ExchangeOpen)
{
Buy(_contractToTrade, 1);
}
if (_contractToTrade != null && slice.Delistings.TryGetValue(_contractToTrade, out var delisting))
{
if (delisting.Type == DelistingType.Delisted)
{
_delisted = true;
if (Portfolio.Invested)
{
throw new RegressionTestException($"{Time} - Portfolio should not be invested after the traded contract is delisted.");
}
}
}
}
public override void OnOrderEvent(OrderEvent orderEvent)
{
if (orderEvent.Symbol != _contractToTrade)
{
throw new RegressionTestException($"{Time} - Unexpected order event symbol: {orderEvent.Symbol}. Expected {_contractToTrade}");
}
if (orderEvent.Direction == OrderDirection.Buy)
{
if (orderEvent.Status == OrderStatus.Filled)
{
if (_boughtQuantity != 0 && _liquidatedQuantity != 0)
{
throw new RegressionTestException($"{Time} - Unexpected buy order event status: {orderEvent.Status}");
}
_boughtQuantity = orderEvent.Quantity;
}
}
else if (orderEvent.Direction == OrderDirection.Sell)
{
if (orderEvent.Status == OrderStatus.Filled)
{
if (_boughtQuantity <= 0 && _liquidatedQuantity != 0)
{
throw new RegressionTestException($"{Time} - Unexpected sell order event status: {orderEvent.Status}");
}
_liquidatedQuantity = orderEvent.Quantity;
if (_liquidatedQuantity != -_boughtQuantity)
{
throw new RegressionTestException($"{Time} - Unexpected liquidated quantity: {_liquidatedQuantity}. Expected: {-_boughtQuantity}");
}
}
}
}
public override void OnSecuritiesChanged(SecurityChanges changes)
{
foreach (var addedSecurity in changes.AddedSecurities)
{
if (addedSecurity.Symbol.SecurityType == SecurityType.Future && addedSecurity.Symbol.IsCanonical())
{
_mappedSymbol = _continuousContract.Mapped;
}
}
}
public override void OnEndOfAlgorithm()
{
if (_mappingsCount == 0)
{
throw new RegressionTestException($"Unexpected number of symbol changed events (mappings): {_mappingsCount}. Expected 1.");
}
if (!_delisted)
{
throw new RegressionTestException("Contract was not delisted");
}
// Make sure we traded and that the position was liquidated on delisting
if (_boughtQuantity <= 0 || _liquidatedQuantity >= 0)
{
throw new RegressionTestException($"Unexpected sold quantity: {_boughtQuantity} and liquidated quantity: {_liquidatedQuantity}");
}
}
///
/// 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, Language.Python };
///
/// Data Points count of all timeslices of algorithm
///
public long DataPoints => 94326;
///
/// 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", "2"},
{"Average Win", "0%"},
{"Average Loss", "-0.11%"},
{"Compounding Annual Return", "-1.667%"},
{"Drawdown", "0.100%"},
{"Expectancy", "-1"},
{"Start Equity", "1000000"},
{"End Equity", "998849.48"},
{"Net Profit", "-0.115%"},
{"Sharpe Ratio", "-34.455"},
{"Sortino Ratio", "-57.336"},
{"Probabilistic Sharpe Ratio", "0.002%"},
{"Loss Rate", "100%"},
{"Win Rate", "0%"},
{"Profit-Loss Ratio", "0"},
{"Alpha", "0"},
{"Beta", "0"},
{"Annual Standard Deviation", "0.002"},
{"Annual Variance", "0"},
{"Information Ratio", "-6.176"},
{"Tracking Error", "0.002"},
{"Treynor Ratio", "0"},
{"Total Fees", "€1.02"},
{"Estimated Strategy Capacity", "€2300000000.00"},
{"Lowest Capacity Asset", "FESX YJHOAMPYKRS5"},
{"Portfolio Turnover", "0.40%"},
{"Drawdown Recovery", "0"},
{"OrderListHash", "ac9acc478ba1afe53993cdbb92f8ec6e"}
};
}
}