chore: import upstream snapshot with attribution

2026-07-13 13:02:50 +08:00
commit 0fc60fdcb1
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+/*
+ * 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 QuantConnect.Data;
+using QuantConnect.Data.Consolidators;
+using QuantConnect.Indicators;
+using QuantConnect.Interfaces;
+
+namespace QuantConnect.Algorithm.CSharp
+{
+    /// <summary>
+    /// This algorithm reproduces GH issue 2404, exception: `This is a forward only indicator`
+    /// </summary>
+    public class WarmupIndicatorRegressionAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition
+    {
+        private Symbol _spy;
+
+        /// <summary>
+        /// Initialise the data and resolution required, as well as the cash and start-end dates for your algorithm. All algorithms must initialized.
+        /// </summary>
+        public override void Initialize()
+        {
+            SetStartDate(2013, 11, 1);
+            SetEndDate(2013, 12, 10);    //Set End Date
+            SetWarmup(TimeSpan.FromDays(30));
+
+            _spy = AddEquity("SPY", Resolution.Daily).Symbol;
+            var renkoConsolidator = new ClassicRenkoConsolidator(2m);
+            renkoConsolidator.DataConsolidated += (sender, consolidated) =>
+            {
+                if (IsWarmingUp) return;
+                if (!Portfolio.Invested)
+                {
+                    SetHoldings(_spy, 1.0);
+                }
+                Log($"CLOSE - {consolidated.Time:o} - {consolidated.Open} {consolidated.Close}");
+            };
+            var sma = new SimpleMovingAverage("SMA", 3);
+            RegisterIndicator(_spy, sma, renkoConsolidator);
+        }
+
+        /// <summary>
+        /// OnData event is the primary entry point for your algorithm. Each new data point will be pumped in here.
+        /// </summary>
+        /// <param name="slice">Slice object keyed by symbol containing the stock data</param>
+        public override void OnData(Slice slice)
+        {
+        }
+
+        /// <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 => 397;
+
+        /// <summary>
+        /// Data Points count of the algorithm history
+        /// </summary>
+        public int AlgorithmHistoryDataPoints => 0;
+
+        /// <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", "1"},
+            {"Average Win", "0%"},
+            {"Average Loss", "0%"},
+            {"Compounding Annual Return", "11.962%"},
+            {"Drawdown", "1.200%"},
+            {"Expectancy", "0"},
+            {"Start Equity", "100000"},
+            {"End Equity", "101236.75"},
+            {"Net Profit", "1.237%"},
+            {"Sharpe Ratio", "1.636"},
+            {"Sortino Ratio", "3.633"},
+            {"Probabilistic Sharpe Ratio", "59.456%"},
+            {"Loss Rate", "0%"},
+            {"Win Rate", "0%"},
+            {"Profit-Loss Ratio", "0"},
+            {"Alpha", "0.001"},
+            {"Beta", "0.425"},
+            {"Annual Standard Deviation", "0.047"},
+            {"Annual Variance", "0.002"},
+            {"Information Ratio", "-1.856"},
+            {"Tracking Error", "0.054"},
+            {"Treynor Ratio", "0.18"},
+            {"Total Fees", "$3.23"},
+            {"Estimated Strategy Capacity", "$810000000.00"},
+            {"Lowest Capacity Asset", "SPY R735QTJ8XC9X"},
+            {"Portfolio Turnover", "2.48%"},
+            {"Drawdown Recovery", "10"},
+            {"OrderListHash", "be8d7533a3c80d8c768d51a5d5098143"}
+        };
+    }
+}