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* Add Collective2SignalExportClass Add SignalExportTarget interface * Collective2SignalExport test working Add SignalExportManager Add draft of CrunchDAOSignalExport * Modify SignalExportManager Instantiate SignalExportManager in QCAlgorithm constructor Draft of CrunchDAOSignalExport * Improve SignalExportManager - Add regression tests SignalExportDemonstrationAlgorithm in C# and Python * Improve SignalExportDemonstrationAlgorithm Address requested changes in Collective2SignalExport, SignalExportManger and SignalExportTargetTests.cs * Add CrunchDAOSignalExport.cs Add CrunchDAOSignalExport unit tests in SignalExportTargetTests.cs * Add NumeraiSignalExport.cs Modify SignalExportDemonstrationAlgorithm.cs to test NumeraiSignalExport Add unit test in SignalExportTargetTests to test NumeraiSignalExport * Address required changes - Add BaseSignalExport.cs - Add SignalExportParameters.cs - Add PortfolioSignalExportDemonstrationAlgorithm.cs/py - Improve Error handling in SignalExport provider classes - Collective2SignalExport now gets the correct number of shares for each holding - SignalExportManager now computes the correct holding percentage of each portfolio target - SignalExportManager now takes into account if the algorithm is in live mode - Demonstration algorithms now are more simple * Address last required changes - PortfolioSignalExportDemonstrationAlgorithm.cs/py now inherits from SignalExportDemonstrationAlgorithm.cs/py - Add more unit tests to assert SignalExportManager gets the correct percentage quantity for each holding - Change Collective2SignalExport, CrunchDAOSignalExport and NumeraiSignalExport Send() method to return true if there was no error while sending the signals and false otherwise - Nit changes * Remove exceptions thrown - Add more unit tests and more test cases - Enhance BaseSignalExport.Dispose() method * Add Collective2SignalExportClass Add SignalExportTarget interface * Collective2SignalExport test working Add SignalExportManager Add draft of CrunchDAOSignalExport * Modify SignalExportManager Instantiate SignalExportManager in QCAlgorithm constructor Draft of CrunchDAOSignalExport * Improve SignalExportManager - Add regression tests SignalExportDemonstrationAlgorithm in C# and Python * Improve SignalExportDemonstrationAlgorithm Address requested changes in Collective2SignalExport, SignalExportManger and SignalExportTargetTests.cs * Add CrunchDAOSignalExport.cs Add CrunchDAOSignalExport unit tests in SignalExportTargetTests.cs * Add NumeraiSignalExport.cs Modify SignalExportDemonstrationAlgorithm.cs to test NumeraiSignalExport Add unit test in SignalExportTargetTests to test NumeraiSignalExport * Address required changes - Add BaseSignalExport.cs - Add SignalExportParameters.cs - Add PortfolioSignalExportDemonstrationAlgorithm.cs/py - Improve Error handling in SignalExport provider classes - Collective2SignalExport now gets the correct number of shares for each holding - SignalExportManager now computes the correct holding percentage of each portfolio target - SignalExportManager now takes into account if the algorithm is in live mode - Demonstration algorithms now are more simple * Address last required changes - PortfolioSignalExportDemonstrationAlgorithm.cs/py now inherits from SignalExportDemonstrationAlgorithm.cs/py - Add more unit tests to assert SignalExportManager gets the correct percentage quantity for each holding - Change Collective2SignalExport, CrunchDAOSignalExport and NumeraiSignalExport Send() method to return true if there was no error while sending the signals and false otherwise - Nit changes * Remove exceptions thrown - Add more unit tests and more test cases - Enhance BaseSignalExport.Dispose() method * Fix failing regression tests * Fix failing unit tests * Nit changes * Nit change * Nit change * Fix failing unit tests * Changes required - Break regression algos `SignalExportDemonstrationAlgorithm.cs/py` nad `PortfolioSignalExportDemonstrationAlgorithm.cs/`y` into three ones, one for each signal export provider - Change SignalExportManager constructor to receive current algorithm as a parameter - Fix bug in `SignalExportManager.GetPortfolioTargets()`, now it computes the correct percentage for each holding - Make `BaseSignalExport.DefaultAllowedSecurityTypes` overrdible - Handle case were `Collective2SignalExport.ConvertPercentageToQuantity()` returns null - Clean unnecessary code in `Collective2SignalExport()`, `CrunchDAOSignalExport()` and `NumeraiSignalExport()` * Nit change * Nit change * Minor tweaks after review * Remove indexes from signal exports * Required changes - Change EMA indicators period from 200, 300 to 10,100 in regression algorithms - Remove Indices from regression algorithms - Add more XML documentation to regression algorithms - Change `Log.Error` to `_algorithm.Error` in Signal export providers. Besides, fix error message format - Change default value for `platformId` parameter in `Collective2SignalExport.cs` constructor - Solve small bugs in SignalExportProvider when verificating the amount of porfolio targets is greater than zero and each portfolio target is allowed - Handle case when `PortfolioTarget.Percent()` returns null in `Collective2SignalExport.ConvertPercentageToQuantity()` - Handle error format message from Collective2 API - Check every ticker signal is between 0 and 1 (inclusive) in `CrunchDAOSignalExport.cs` - Modifiy `NumeraiSignalExport.cs` constructor to take into account filename given in the arguments - Fix small bug with the return value of `ConvertTargetsToNumerai()` method in `NumeraiSignalExport.cs` - Modify `SignalExportManager.cs` to return true when the algorithm being ran is not in live mode - Remove indices from CrunchDAO unit tests * Enhance ´CrunchDAOSignalExport.cs´ implementation --------- Co-authored-by: Martin-Molinero <martin@quantconnect.com>
170 lines
6.8 KiB
C#
170 lines
6.8 KiB
C#
/*
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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.Algorithm.Framework.Portfolio;
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using QuantConnect.Algorithm.Framework.Portfolio.SignalExports;
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using QuantConnect.Data;
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using QuantConnect.Indicators;
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using QuantConnect.Interfaces;
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using System.Collections.Generic;
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namespace QuantConnect.Algorithm.CSharp
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{
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/// <summary>
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/// This algorithm sends a current portfolio target to CrunchDAO API
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/// every time the ema indicators crosses between themselves
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/// </summary>
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/// <meta name="tag" content="using data" />
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/// <meta name="tag" content="using quantconnect" />
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/// <meta name="tag" content="securities and portfolio" />
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public class CrunchDAOSignalExportDemonstrationAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition
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{
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/// <summary>
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/// CrunchDAO API key: This value is provided by CrunchDAO when you sign up
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/// </summary>
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private const string _crunchDAOApiKey = "";
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/// <summary>
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/// CrunchDAO Model ID: When your email is verified, you can find this value in your CrunchDAO profile main page:
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/// See (https://tournament.crunchdao.com/profile/alpha)
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/// </summary>
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private const string _crunchDAOModel = "";
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private const string _crunchDAOSubmissionName = ""; // Replace this value with the name for your submission (Optional)
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private const string _crunchDAOComment = ""; // Replace this value with a comment for your submission (Optional)
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private ExponentialMovingAverage _fast;
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private ExponentialMovingAverage _slow;
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private bool _emaFastWasAbove;
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private bool _emaFastIsNotSet;
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private Symbol _spy;
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/// <summary>
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/// Initialize the date and add one equity symbol, as CrunchDAO
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/// only accepts stock and index symbols
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/// </summary>
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public override void Initialize()
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{
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SetStartDate(2013, 10, 07);
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SetEndDate(2013, 10, 11);
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SetCash(100 * 1000);
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_spy = AddEquity("SPY").Symbol;
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_fast = EMA("SPY", 10);
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_slow = EMA("SPY", 100);
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// Initialize this flag, to check when the ema indicators crosses between themselves
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_emaFastIsNotSet = true;
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// Set CrunchDAO signal export provider
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SignalExport.AddSignalExportProviders(new CrunchDAOSignalExport(_crunchDAOApiKey, _crunchDAOModel, _crunchDAOSubmissionName, _crunchDAOComment));
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}
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/// <summary>
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/// Reduce the quantity of holdings for SPY or increase it, depending the case,
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/// when the EMA's indicators crosses between themselves, then send a signal to
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/// CrunchDAO API
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/// </summary>
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/// <param name="slice"></param>
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public override void OnData(Slice slice)
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{
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// Wait for our indicators to be ready
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if (!_fast.IsReady || !_slow.IsReady) return;
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// Set the value of flag _emaFastWasAbove, to know when the ema indicators crosses between themselves
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if (_emaFastIsNotSet)
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{
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if (_fast > _slow * 1.001m)
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{
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_emaFastWasAbove = true;
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}
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else
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{
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_emaFastWasAbove = false;
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}
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_emaFastIsNotSet = false;
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}
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// Check whether ema fast and ema slow crosses. If they do, set holdings to SPY
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// or reduce its holdings, update its value in target and send signals to
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// CrunchDAO API from target
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if ((_fast > _slow * 1.001m) && (!_emaFastWasAbove))
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{
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SetHoldings("SPY", 0.1);
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var target= new PortfolioTarget(_spy, (decimal)0.1);
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SignalExport.SetTargetPortfolio(target);
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}
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else if ((_fast < _slow * 0.999m) && (_emaFastWasAbove))
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{
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SetHoldings("SPY", 0.01);
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var target = new PortfolioTarget(_spy, (decimal)0.01);
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SignalExport.SetTargetPortfolio(target);
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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 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 Language[] Languages { get; } = { Language.CSharp, Language.Python };
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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 => 3943;
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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 => 0;
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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 Trades", "6"},
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{"Average Win", "0%"},
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{"Average Loss", "0.00%"},
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{"Compounding Annual Return", "9.315%"},
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{"Drawdown", "0.200%"},
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{"Expectancy", "-1"},
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{"Net Profit", "0.114%"},
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{"Sharpe Ratio", "5.01"},
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{"Probabilistic Sharpe Ratio", "66.849%"},
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{"Loss Rate", "100%"},
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{"Win Rate", "0%"},
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{"Profit-Loss Ratio", "0"},
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{"Alpha", "-0.085"},
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{"Beta", "0.098"},
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{"Annual Standard Deviation", "0.022"},
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{"Annual Variance", "0"},
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{"Information Ratio", "-9.336"},
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{"Tracking Error", "0.201"},
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{"Treynor Ratio", "1.115"},
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{"Total Fees", "$6.00"},
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{"Estimated Strategy Capacity", "$28000000.00"},
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{"Lowest Capacity Asset", "SPY R735QTJ8XC9X"},
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{"Portfolio Turnover", "2.13%"},
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{"OrderListHash", "f2f9bba2b756b2b7456e7ab705a08d49"}
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};
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}
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}
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