chore: import upstream snapshot with attribution

2026-07-13 13:02:50 +08:00
commit 0fc60fdcb1
5008 changed files with 910633 additions and 0 deletions
@@ -0,0 +1,145 @@
+/*
+ * 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.Collections.Generic;
+using System.Linq;
+using QuantConnect.Data.UniverseSelection;
+using QuantConnect.Interfaces;
+using QuantConnect.Securities;
+using QuantConnect.Securities.Future;
+using QuantConnect.Securities.Option;
+
+namespace QuantConnect.Algorithm.CSharp
+{
+    /// <summary>
+    /// Algorithm asserting AddFutureOptionContract does not throw even when the underlying security configurations are internal
+    /// </summary>
+    public class AddFutureOptionContractWithInternalMappedUnderlyingRegressionAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition
+    {
+        private Future _continuousContract;
+        private Option _fopContract;
+
+        public override void Initialize()
+        {
+            SetStartDate(2020, 01, 04);
+            SetEndDate(2020, 01 , 06);
+
+            _continuousContract = AddFuture(Futures.Indices.SP500EMini,
+                dataNormalizationMode: DataNormalizationMode.BackwardsRatio,
+                dataMappingMode: DataMappingMode.LastTradingDay,
+                contractDepthOffset: 0);
+        }
+
+        public override void OnSecuritiesChanged(SecurityChanges changes)
+        {
+            if (changes.AddedSecurities.Any(security => security.Symbol == _continuousContract.Symbol))
+            {
+                if (SubscriptionManager.SubscriptionDataConfigService.GetSubscriptionDataConfigs(_continuousContract.Mapped).Count != 0 ||
+                    SubscriptionManager.SubscriptionDataConfigService.GetSubscriptionDataConfigs(_continuousContract.Mapped, includeInternalConfigs: true).Count == 0)
+                {
+                    throw new RegressionTestException("Continuous future underlying should only have internal subscription configs");
+                }
+
+                var contract = OptionChain(_continuousContract.Mapped).FirstOrDefault()?.Symbol;
+
+                try
+                {
+                    _fopContract = AddFutureOptionContract(contract);
+                }
+                catch (Exception e)
+                {
+                    throw new RegressionTestException($"Failed to add future option contract {contract}", e);
+                }
+            }
+            else if (_fopContract != null && changes.AddedSecurities.Any(security => security.Symbol == _fopContract.Symbol))
+            {
+                var underlyingSubscriptions = SubscriptionManager.SubscriptionDataConfigService.GetSubscriptionDataConfigs(_fopContract.Symbol.Underlying);
+                if (underlyingSubscriptions.Any(x => x.DataNormalizationMode == DataNormalizationMode.Raw))
+                {
+                    throw new RegressionTestException("Future option underlying should not have raw data normalization mode");
+                }
+            }
+        }
+
+        public override void OnEndOfAlgorithm()
+        {
+            if (_fopContract == null)
+            {
+                throw new RegressionTestException("Failed to add future option contract");
+            }
+        }
+
+        /// <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 => 3181;
+
+        /// <summary>
+        /// Data Points count of the algorithm history
+        /// </summary>
+        public int AlgorithmHistoryDataPoints => 1;
+
+        /// <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", "0"},
+            {"Average Win", "0%"},
+            {"Average Loss", "0%"},
+            {"Compounding Annual Return", "0%"},
+            {"Drawdown", "0%"},
+            {"Expectancy", "0"},
+            {"Start Equity", "100000"},
+            {"End Equity", "100000"},
+            {"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", "-14.395"},
+            {"Tracking Error", "0.043"},
+            {"Treynor Ratio", "0"},
+            {"Total Fees", "$0.00"},
+            {"Estimated Strategy Capacity", "$0"},
+            {"Lowest Capacity Asset", ""},
+            {"Portfolio Turnover", "0%"},
+            {"Drawdown Recovery", "0"},
+            {"OrderListHash", "d41d8cd98f00b204e9800998ecf8427e"}
+        };
+    }
+}