chore: import upstream snapshot with attribution
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/*
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* QUANTCONNECT.COM - Democratizing Finance, Empowering Individuals.
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* Lean Algorithmic Trading Engine v2.0. Copyright 2014 QuantConnect Corporation.
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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using QuantConnect.Orders;
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using System;
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using System.Collections.Generic;
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using System.Linq;
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namespace QuantConnect.Algorithm.CSharp
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{
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/// <summary>
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/// Regression algorithm to test combo limit orders
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/// </summary>
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public class ComboLimitOrderAlgorithm : ComboOrderAlgorithm
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{
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private decimal _limitPrice;
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private int _comboQuantity;
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private decimal _temporaryLimitPrice;
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private int _temporaryComboQuantity;
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private int _fillCount;
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private decimal _liquidatedQuantity;
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private bool _liquidated;
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protected override int ExpectedFillCount
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{
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get
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{
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// times 2 because of liquidation
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return OrderLegs.Count * 2;
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}
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}
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protected virtual bool AsynchronousOrders => false;
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protected override IEnumerable<OrderTicket> PlaceComboOrder(List<Leg> legs, int quantity, decimal? limitPrice)
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{
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_limitPrice = limitPrice.Value;
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_comboQuantity = quantity;
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_temporaryLimitPrice = limitPrice.Value - Math.Sign(quantity) * limitPrice.Value * 0.5m; // Won't fill
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_temporaryComboQuantity = quantity * 10;
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legs.ForEach(x => { x.OrderPrice = null; });
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// First, let's place a limit order that won't fill so we can update it later
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return ComboLimitOrder(legs, _temporaryComboQuantity, _temporaryLimitPrice, asynchronous: AsynchronousOrders);
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}
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protected override void UpdateComboOrder(List<OrderTicket> tickets)
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{
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// Let's update the quantity and limit price to the real values
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tickets[0].Update(new UpdateOrderFields
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{
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Quantity = _comboQuantity,
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LimitPrice = _limitPrice
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});
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}
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public override void OnOrderEvent(OrderEvent orderEvent)
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{
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base.OnOrderEvent(orderEvent);
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if (orderEvent.Status == OrderStatus.Filled)
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{
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_fillCount++;
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if (_fillCount == OrderLegs.Count)
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{
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Liquidate();
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}
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else if (_fillCount < 2 * OrderLegs.Count)
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{
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_liquidatedQuantity += orderEvent.FillQuantity;
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}
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else if (_fillCount == 2 * OrderLegs.Count)
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{
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_liquidated = true;
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var totalComboQuantity = _comboQuantity * OrderLegs.Select(x => x.Quantity).Sum();
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if (_liquidatedQuantity != totalComboQuantity)
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{
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throw new RegressionTestException($"Liquidated quantity {_liquidatedQuantity} does not match combo quantity {totalComboQuantity}");
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}
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if (Portfolio.TotalHoldingsValue != 0)
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{
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throw new RegressionTestException($"Portfolio value {Portfolio.TotalPortfolioValue} is not zero");
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}
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}
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}
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}
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public override void OnEndOfAlgorithm()
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{
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base.OnEndOfAlgorithm();
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if (_limitPrice == null)
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{
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throw new RegressionTestException("Limit price was not set");
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}
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var fillPricesSum = FillOrderEvents.Take(OrderLegs.Count).Select(x => x.FillPrice * x.FillQuantity / _comboQuantity).Sum();
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if (_limitPrice < fillPricesSum)
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{
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throw new RegressionTestException($"Limit price expected to be greater that the sum of the fill prices ({fillPricesSum}), but was {_limitPrice}");
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}
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if (!_liquidated)
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{
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throw new RegressionTestException("Combo order was not liquidated");
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}
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foreach (var ticket in Transactions.GetOrderTickets().Where(x => x.OrderType == OrderType.ComboLimit))
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{
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if (ticket.SubmitRequest.Asynchronous != AsynchronousOrders)
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{
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throw new RegressionTestException("Expected all orders to have the same asynchronous flag as the algorithm.");
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}
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}
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}
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/// <summary>
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/// This is used by the regression test system to indicate if the open source Lean repository has the required data to run this algorithm.
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/// </summary>
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public override bool CanRunLocally => true;
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/// <summary>
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/// This is used by the regression test system to indicate which languages this algorithm is written in.
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/// </summary>
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public override List<Language> Languages { get; } = new() { Language.CSharp };
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/// <summary>
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/// Data Points count of all timeslices of algorithm
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/// </summary>
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public override long DataPoints => 15023;
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/// <summary>
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/// Data Points count of the algorithm history
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/// </summary>
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public override int AlgorithmHistoryDataPoints => 0;
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/// <summary>
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/// Final status of the algorithm
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/// </summary>
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public override AlgorithmStatus AlgorithmStatus => AlgorithmStatus.Completed;
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/// <summary>
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/// This is used by the regression test system to indicate what the expected statistics are from running the algorithm
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/// </summary>
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public override Dictionary<string, string> ExpectedStatistics => new Dictionary<string, string>
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{
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{"Total Orders", "6"},
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{"Average Win", "0%"},
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{"Average Loss", "0%"},
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{"Compounding Annual Return", "0%"},
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{"Drawdown", "0%"},
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{"Expectancy", "0"},
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{"Start Equity", "200000"},
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{"End Equity", "196348"},
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{"Net Profit", "0%"},
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{"Sharpe Ratio", "0"},
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{"Sortino Ratio", "0"},
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{"Probabilistic Sharpe Ratio", "0%"},
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{"Loss Rate", "0%"},
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{"Win Rate", "0%"},
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{"Profit-Loss Ratio", "0"},
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{"Alpha", "0"},
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{"Beta", "0"},
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{"Annual Standard Deviation", "0"},
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{"Annual Variance", "0"},
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{"Information Ratio", "0"},
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{"Tracking Error", "0"},
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{"Treynor Ratio", "0"},
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{"Total Fees", "$52.00"},
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{"Estimated Strategy Capacity", "$5000.00"},
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{"Lowest Capacity Asset", "GOOCV W78ZERHAT67A|GOOCV VP83T1ZUHROL"},
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{"Portfolio Turnover", "60.91%"},
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{"Drawdown Recovery", "0"},
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{"OrderListHash", "7daf3d43bef2b023ab26517085840c0e"}
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};
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}
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}
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