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
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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.Indicators;
+using QuantConnect.Interfaces;
+using QuantConnect.Orders;
+using QuantConnect.Brokerages;
+
+
+namespace QuantConnect.Algorithm.CSharp
+{
+    /// <summary>
+    /// Regression test to explain how Beta indicator works
+    /// </summary>
+    public class AddBetaIndicatorNewAssetsRegressionAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition
+    {
+        private Beta _beta;
+        private SimpleMovingAverage _sma;
+        private decimal _lastSMAValue;
+
+        public override void Initialize()
+        {
+            SetStartDate(2015, 05, 08);
+            SetEndDate(2017, 06, 15);
+            SetCash(10000);
+
+            AddCrypto("BTCUSD", Resolution.Daily);
+            AddEquity("SPY", Resolution.Daily);
+
+            EnableAutomaticIndicatorWarmUp = true;
+            _beta = B("BTCUSD", "SPY", 3, Resolution.Daily);
+            _sma = SMA("SPY", 3, Resolution.Daily);
+            _lastSMAValue = 0;
+
+            if (!_beta.IsReady)
+            {
+                throw new RegressionTestException("Beta indicator was expected to be ready");
+            }
+        }
+
+        public override void OnData(Slice slice)
+        {
+            var price = Securities["BTCUSD"].Price;
+
+            if (!Portfolio.Invested)
+            {
+                var quantityToBuy = (int)(Portfolio.Cash * 0.05m / price);
+                Buy("BTCUSD", quantityToBuy);
+            }
+
+            if (Math.Abs(_beta.Current.Value) > 2)
+            {
+                Liquidate("BTCUSD");
+                Log("Liquidated BTCUSD due to high Beta");
+            }
+
+            Log($"Beta between BTCUSD and SPY is: {_beta.Current.Value}");
+        }
+
+        public override void OnOrderEvent(OrderEvent orderEvent)
+        {
+            var order = Transactions.GetOrderById(orderEvent.OrderId);
+            var goUpwards = _lastSMAValue < _sma.Current.Value;
+            _lastSMAValue = _sma.Current.Value;
+
+            if (order.Status == OrderStatus.Filled)
+            {
+                if (order.Type == OrderType.Limit && Math.Abs(_beta.Current.Value - 1) < 0.2m && goUpwards)
+                {
+                    Transactions.CancelOpenOrders(order.Symbol);
+                }
+            }
+
+            if (order.Status == OrderStatus.Canceled)
+            {
+                Log(orderEvent.ToString());
+            }
+        }
+
+        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 virtual List<Language> Languages { get; } = new() { Language.CSharp };
+
+        /// <summary>
+        /// Data Points count of all timeslices of algorithm
+        /// </summary>
+        public long DataPoints => 5798;
+
+        /// <summary>
+        /// Data Points count of the algorithm history
+        /// </summary>
+        public int AlgorithmHistoryDataPoints => 26;
+
+        /// <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", "327"},
+            {"Average Win", "0.32%"},
+            {"Average Loss", "-0.02%"},
+            {"Compounding Annual Return", "1.274%"},
+            {"Drawdown", "1.100%"},
+            {"Expectancy", "0.904"},
+            {"Start Equity", "10000.00"},
+            {"End Equity", "10270.95"},
+            {"Net Profit", "2.710%"},
+            {"Sharpe Ratio", "-0.126"},
+            {"Sortino Ratio", "-0.112"},
+            {"Probabilistic Sharpe Ratio", "2.398%"},
+            {"Loss Rate", "90%"},
+            {"Win Rate", "10%"},
+            {"Profit-Loss Ratio", "17.14"},
+            {"Alpha", "-0.002"},
+            {"Beta", "0.004"},
+            {"Annual Standard Deviation", "0.01"},
+            {"Annual Variance", "0"},
+            {"Information Ratio", "-0.536"},
+            {"Tracking Error", "0.111"},
+            {"Treynor Ratio", "-0.335"},
+            {"Total Fees", "$0.00"},
+            {"Estimated Strategy Capacity", "$100000.00"},
+            {"Lowest Capacity Asset", "BTCUSD 2XR"},
+            {"Portfolio Turnover", "1.69%"},
+            {"Drawdown Recovery", "104"},
+            {"OrderListHash", "52a71939d45d41e0c585301b2ae71f21"}
+        };
+    }
+}