/*
* 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.Orders;
using System;
using System.Collections.Generic;
namespace QuantConnect.Algorithm.CSharp
{
///
/// Regression algorithm to test combo market orders
///
public class ComboMarketOrderAlgorithm : ComboOrderAlgorithm
{
protected override IEnumerable PlaceComboOrder(List legs, int quantity, decimal? limitPrice = null)
{
legs.ForEach(x => { x.OrderPrice = null; });
return ComboMarketOrder(legs, quantity);
}
public override void OnOrderEvent(OrderEvent orderEvent)
{
base.OnOrderEvent(orderEvent);
if (orderEvent.Status == OrderStatus.Filled && orderEvent.OrderFee.Value.Amount != (orderEvent.AbsoluteFillQuantity * 0.65m))
{
throw new RegressionTestException($"The fee for each order should be {orderEvent.AbsoluteFillQuantity * 0.65m} USD, but for order {orderEvent.OrderId} was {orderEvent.OrderFee}");
}
}
///
/// 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 override bool CanRunLocally => true;
///
/// This is used by the regression test system to indicate which languages this algorithm is written in.
///
public override List Languages { get; } = new() { Language.CSharp };
///
/// Data Points count of all timeslices of algorithm
///
public override long DataPoints => 15023;
///
/// Data Points count of the algorithm history
///
public override int AlgorithmHistoryDataPoints => 0;
///
/// Final status of the algorithm
///
public override AlgorithmStatus AlgorithmStatus => AlgorithmStatus.Completed;
///
/// This is used by the regression test system to indicate what the expected statistics are from running the algorithm
///
public override Dictionary ExpectedStatistics => new Dictionary
{
{"Total Orders", "3"},
{"Average Win", "0%"},
{"Average Loss", "0%"},
{"Compounding Annual Return", "0%"},
{"Drawdown", "0%"},
{"Expectancy", "0"},
{"Start Equity", "200000"},
{"End Equity", "198024"},
{"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", "0"},
{"Tracking Error", "0"},
{"Treynor Ratio", "0"},
{"Total Fees", "$26.00"},
{"Estimated Strategy Capacity", "$69000.00"},
{"Lowest Capacity Asset", "GOOCV W78ZERHAOVVQ|GOOCV VP83T1ZUHROL"},
{"Portfolio Turnover", "30.35%"},
{"Drawdown Recovery", "0"},
{"OrderListHash", "615c795b0c450cb8e4c3cba803ebb180"}
};
}
}