/*
* 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.Linq;
using QuantConnect.Data;
using QuantConnect.Orders;
using QuantConnect.Interfaces;
using QuantConnect.Securities;
using System.Collections.Generic;
using QuantConnect.Securities.Future;
namespace QuantConnect.Algorithm.CSharp
{
///
/// Regression algorithm asserting that market orders are supported on extended market hours for futures.
///
public class MarketOrdersAreSupportedOnExtendedHoursForFuturesRegressionAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition
{
private Future _continuousContract;
private Future _futureContract;
public override void Initialize()
{
SetStartDate(2013, 10, 6);
SetEndDate(2013, 10, 10);
_continuousContract = AddFuture(Futures.Indices.SP500EMini,
dataNormalizationMode: DataNormalizationMode.BackwardsRatio,
dataMappingMode: DataMappingMode.LastTradingDay,
contractDepthOffset: 0,
extendedMarketHours: true
);
_futureContract = AddFutureContract(FuturesChain(_continuousContract.Symbol).First(),
extendedMarketHours: true);
}
public override void OnData(Slice slice)
{
if (Time.TimeOfDay.Hours > 18 && !Portfolio.Invested)
{
var futureContractMarketOrder = MarketOrder(_futureContract.Symbol, 1);
var continuousContractMarketOrder = MarketOrder(_continuousContract.Mapped, 1);
if (futureContractMarketOrder.Status == OrderStatus.Invalid || continuousContractMarketOrder.Status == OrderStatus.Invalid)
{
throw new RegressionTestException($"Market orders should be allowed for futures outside of regular market hours");
}
}
}
public override void OnEndOfAlgorithm()
{
if (Transactions.GetOrders().Any(order => order.Status != OrderStatus.Filled ))
{
throw new RegressionTestException("Not all orders were filled");
}
}
public override void OnOrderEvent(OrderEvent orderEvent)
{
// 13:30 and 21:00 UTC are 9:30 and 17 New york, which are the regular market hours litimits for this security
if (orderEvent.Status == OrderStatus.Filled && !Securities[orderEvent.Symbol].Exchange.DateTimeIsOpen(orderEvent.UtcTime) &&
(orderEvent.UtcTime.TimeOfDay >= new TimeSpan(13, 30, 0) && orderEvent.UtcTime.TimeOfDay < new TimeSpan(21, 0, 0)))
{
throw new RegressionTestException($"Order should have been filled during extended market hours");
}
}
///
/// 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 => 50978;
///
/// Data Points count of the algorithm history
///
public int AlgorithmHistoryDataPoints => 1;
///
/// 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%"},
{"Compounding Annual Return", "-0.626%"},
{"Drawdown", "2.400%"},
{"Expectancy", "0"},
{"Start Equity", "100000"},
{"End Equity", "99991.4"},
{"Net Profit", "-0.009%"},
{"Sharpe Ratio", "1.959"},
{"Sortino Ratio", "4.862"},
{"Probabilistic Sharpe Ratio", "53.060%"},
{"Loss Rate", "0%"},
{"Win Rate", "0%"},
{"Profit-Loss Ratio", "0"},
{"Alpha", "0.239"},
{"Beta", "0.694"},
{"Annual Standard Deviation", "0.177"},
{"Annual Variance", "0.031"},
{"Information Ratio", "2.05"},
{"Tracking Error", "0.093"},
{"Treynor Ratio", "0.501"},
{"Total Fees", "$4.30"},
{"Estimated Strategy Capacity", "$15000000.00"},
{"Lowest Capacity Asset", "ES VU1EHIDJYLMP"},
{"Portfolio Turnover", "33.51%"},
{"Drawdown Recovery", "3"},
{"OrderListHash", "523d76e17b23ee0c94ded9f826cb8c22"}
};
}
}