155 lines
5.9 KiB
C#
155 lines
5.9 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 QuantConnect.Data;
|
|
using QuantConnect.Orders;
|
|
using System.Globalization;
|
|
using QuantConnect.Interfaces;
|
|
using QuantConnect.Data.Market;
|
|
using System.Collections.Generic;
|
|
using QuantConnect.Securities.Future;
|
|
using Futures = QuantConnect.Securities.Futures;
|
|
|
|
namespace QuantConnect.Algorithm.CSharp
|
|
{
|
|
/// <summary>
|
|
/// Regression algorithm asserting that the new symbol, on a security changed event,
|
|
/// is added to the securities collection and is tradable.
|
|
/// This specific algorithm tests the manual rollover with the symbol changed event
|
|
/// that is received in the slice in <see cref="OnData(Slice)"/>.
|
|
/// </summary>
|
|
public class ManualContinuousFuturesPositionRolloverRegressionAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition
|
|
{
|
|
private Future _continuousContract;
|
|
|
|
public override void Initialize()
|
|
{
|
|
SetStartDate(2013, 7, 1);
|
|
SetEndDate(2014, 1, 1);
|
|
|
|
_continuousContract = AddFuture(Futures.Indices.SP500EMini,
|
|
dataNormalizationMode: DataNormalizationMode.BackwardsRatio,
|
|
dataMappingMode: DataMappingMode.LastTradingDay,
|
|
contractDepthOffset: 0
|
|
);
|
|
}
|
|
|
|
public override void OnData(Slice slice)
|
|
{
|
|
if (!Portfolio.Invested)
|
|
{
|
|
Order(_continuousContract.Mapped, 1);
|
|
}
|
|
else
|
|
{
|
|
ManualPositionsRollover(slice.SymbolChangedEvents);
|
|
}
|
|
}
|
|
|
|
protected void ManualPositionsRollover(SymbolChangedEvents symbolChangedEvents)
|
|
{
|
|
foreach (var changedEvent in symbolChangedEvents.Values)
|
|
{
|
|
Debug($"{Time} - SymbolChanged event: {changedEvent}");
|
|
|
|
// This access will throw if any of the symbols are not in the securities collection
|
|
var oldSecurity = Securities[changedEvent.OldSymbol];
|
|
var newSecurity = Securities[changedEvent.NewSymbol];
|
|
|
|
if (!oldSecurity.Invested) continue;
|
|
|
|
// Rolling over: liquidate any position of the old mapped contract and switch to the newly mapped contract
|
|
var quantity = oldSecurity.Holdings.Quantity;
|
|
var tag = $"Rollover - Symbol changed at {Time.ToString(CultureInfo.GetCultureInfo("en-US"))}: {changedEvent.OldSymbol} -> {changedEvent.NewSymbol}";
|
|
Liquidate(symbol: oldSecurity.Symbol, tag: tag);
|
|
Order(newSecurity.Symbol, quantity, tag: tag);
|
|
}
|
|
}
|
|
|
|
public override void OnOrderEvent(OrderEvent orderEvent)
|
|
{
|
|
Debug($"{orderEvent}");
|
|
}
|
|
|
|
public override void OnEndOfAlgorithm()
|
|
{
|
|
if (Transactions.OrdersCount < 3)
|
|
{
|
|
throw new RegressionTestException("Expected at least 3 orders.");
|
|
}
|
|
}
|
|
|
|
/// <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 long DataPoints => 162575;
|
|
|
|
/// <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 Dictionary<string, string> ExpectedStatistics => new Dictionary<string, string>
|
|
{
|
|
{"Total Orders", "3"},
|
|
{"Average Win", "7.02%"},
|
|
{"Average Loss", "0%"},
|
|
{"Compounding Annual Return", "15.644%"},
|
|
{"Drawdown", "1.600%"},
|
|
{"Expectancy", "0"},
|
|
{"Start Equity", "100000"},
|
|
{"End Equity", "107591.4"},
|
|
{"Net Profit", "7.591%"},
|
|
{"Sharpe Ratio", "2.021"},
|
|
{"Sortino Ratio", "1.533"},
|
|
{"Probabilistic Sharpe Ratio", "88.208%"},
|
|
{"Loss Rate", "0%"},
|
|
{"Win Rate", "100%"},
|
|
{"Profit-Loss Ratio", "0"},
|
|
{"Alpha", "0.062"},
|
|
{"Beta", "0.175"},
|
|
{"Annual Standard Deviation", "0.049"},
|
|
{"Annual Variance", "0.002"},
|
|
{"Information Ratio", "-1.429"},
|
|
{"Tracking Error", "0.082"},
|
|
{"Treynor Ratio", "0.57"},
|
|
{"Total Fees", "$6.45"},
|
|
{"Estimated Strategy Capacity", "$2900000000.00"},
|
|
{"Lowest Capacity Asset", "ES VMKLFZIH2MTD"},
|
|
{"Portfolio Turnover", "1.37%"},
|
|
{"Drawdown Recovery", "19"},
|
|
{"OrderListHash", "d68967ba4f7c5f6bbd41efde01a477e1"}
|
|
};
|
|
}
|
|
}
|