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 System.Collections.Generic;
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using System.Linq;
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using QuantConnect.Data;
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using QuantConnect.Interfaces;
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using QuantConnect.Orders;
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namespace QuantConnect.Algorithm.CSharp
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{
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/// <summary>
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/// This algorithm tests order updates with margin constraints to ensure that orders become invalid when exceeding margin requirements.
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/// </summary>
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public class InsufficientMarginOrderUpdateRegressionAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition
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{
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private OrderTicket _stopOrderTicket;
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private OrderTicket _limitOrderTicket;
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private OrderTicket _trailingStopOrderTicket;
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private bool _updatesReady;
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private bool _updatesInProgress;
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private int _updateEventsCount;
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public override void Initialize()
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{
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SetStartDate(2018, 4, 3);
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SetEndDate(2018, 4, 4);
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AddForex("EURUSD", Resolution.Minute);
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_updatesInProgress = true;
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_updateEventsCount = 0;
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}
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public override void OnData(Slice data)
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{
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if (!Portfolio.Invested)
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{
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var qty = CalculateOrderQuantity("EURUSD", 50m);
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MarketOrder("EURUSD", qty);
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// Place stop market, limit, and trailing stop orders with half the quantity
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_stopOrderTicket = StopMarketOrder("EURUSD", -qty / 2, Securities["EURUSD"].Price - 0.003m);
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_limitOrderTicket = LimitOrder("EURUSD", -qty / 2, Securities["EURUSD"].Price - 0.003m);
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_trailingStopOrderTicket = TrailingStopOrder("EURUSD", -qty / 2, Securities["EURUSD"].Price - 0.003m, 0.01m, true);
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// Update the stop order
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var updateStopOrderSettings = new UpdateOrderFields
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{
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// Attempt to increase the order quantity significantly
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Quantity = -qty * 100,
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StopPrice = Securities["EURUSD"].Price - 0.003m
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};
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_stopOrderTicket.Update(updateStopOrderSettings);
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// Update limit order
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var updateLimitOrderSettings = new UpdateOrderFields
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{
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// Attempt to increase the order quantity significantly
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Quantity = -qty * 100,
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LimitPrice = Securities["EURUSD"].Price - 0.003m
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};
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_limitOrderTicket.Update(updateLimitOrderSettings);
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// Update trailing stop order
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var updateTrailingStopOrderSettings = new UpdateOrderFields
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{
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// Attempt to increase the order quantity significantly
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Quantity = -qty * 100,
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StopPrice = Securities["EURUSD"].Price - 0.003m,
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TrailingAmount = 0.01m,
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};
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_trailingStopOrderTicket.Update(updateTrailingStopOrderSettings);
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_updatesReady = true;
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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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if (_updatesReady && _updatesInProgress)
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{
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if (orderEvent.Status != OrderStatus.Submitted)
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{
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throw new RegressionTestException($"Unexpected order event status {orderEvent.Status} received. Expected Submitted.");
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}
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// All updates have been enqueued and should be rejected one by one
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if (orderEvent.OrderId == _stopOrderTicket.OrderId && !orderEvent.Message.Contains("Brokerage failed to update order"))
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{
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throw new RegressionTestException($"The stop order update should have been rejected due to insufficient margin");
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}
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if (orderEvent.Id == _limitOrderTicket.OrderId && !orderEvent.Message.Contains("Brokerage failed to update order"))
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{
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throw new RegressionTestException($"The limit order update should have been rejected due to insufficient margin");
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}
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if (orderEvent.Id == _trailingStopOrderTicket.OrderId && !orderEvent.Message.Contains("Brokerage failed to update order"))
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{
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throw new RegressionTestException($"The trailing stop order update should have been rejected due to insufficient margin");
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}
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_updateEventsCount++;
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}
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if (_updateEventsCount >= 3)
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{
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_updatesInProgress = false;
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}
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}
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public override void OnEndOfAlgorithm()
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{
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// Updates were rejected, so all orders should be in Filled status
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var orders = Transactions.GetOrders().ToList();
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foreach (var order in orders)
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{
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if (order.Status != OrderStatus.Filled)
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{
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throw new RegressionTestException($"Order {order.Id} with symbol {order.Symbol} should have been filled, but its current status is {order.Status}.");
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}
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}
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if (!_updatesReady)
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{
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throw new RegressionTestException("Update Orders should be ready!");
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}
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}
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/// <summary>
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/// Final status of the algorithm
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/// </summary>
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public AlgorithmStatus AlgorithmStatus => AlgorithmStatus.Completed;
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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 bool CanRunLocally { get; } = 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 virtual 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 long DataPoints => 2893;
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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 int AlgorithmHistoryDataPoints => 5;
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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 Dictionary<string, string> ExpectedStatistics => new Dictionary<string, string>
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{
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{"Total Orders", "4"},
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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", "100000.00"},
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{"End Equity", "90809.64"},
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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", "$0.00"},
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{"Estimated Strategy Capacity", "$99000.00"},
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{"Lowest Capacity Asset", "EURUSD 8G"},
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{"Portfolio Turnover", "6777.62%"},
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{"Drawdown Recovery", "0"},
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{"OrderListHash", "505feaf1ae70ead2d7ab78ea257d7342"}
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};
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}
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}
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