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quantconnect--lean/Algorithm.CSharp/CrunchDAOSignalExportDemonstrationAlgorithm.cs
T
Martin-Molinero b23bc870e2
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Minor regression test update after EMA merge (#7177)
- Minor regression test update after EMA merge
2023-04-11 18:26:48 -03:00

170 lines
6.8 KiB
C#

/*
* 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 QuantConnect.Algorithm.Framework.Portfolio;
using QuantConnect.Algorithm.Framework.Portfolio.SignalExports;
using QuantConnect.Data;
using QuantConnect.Indicators;
using QuantConnect.Interfaces;
using System.Collections.Generic;
namespace QuantConnect.Algorithm.CSharp
{
/// <summary>
/// This algorithm sends a current portfolio target to CrunchDAO API
/// every time the ema indicators crosses between themselves
/// </summary>
/// <meta name="tag" content="using data" />
/// <meta name="tag" content="using quantconnect" />
/// <meta name="tag" content="securities and portfolio" />
public class CrunchDAOSignalExportDemonstrationAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition
{
/// <summary>
/// CrunchDAO API key: This value is provided by CrunchDAO when you sign up
/// </summary>
private const string _crunchDAOApiKey = "";
/// <summary>
/// CrunchDAO Model ID: When your email is verified, you can find this value in your CrunchDAO profile main page:
/// See (https://tournament.crunchdao.com/profile/alpha)
/// </summary>
private const string _crunchDAOModel = "";
private const string _crunchDAOSubmissionName = ""; // Replace this value with the name for your submission (Optional)
private const string _crunchDAOComment = ""; // Replace this value with a comment for your submission (Optional)
private ExponentialMovingAverage _fast;
private ExponentialMovingAverage _slow;
private bool _emaFastWasAbove;
private bool _emaFastIsNotSet;
private Symbol _spy;
/// <summary>
/// Initialize the date and add one equity symbol, as CrunchDAO
/// only accepts stock and index symbols
/// </summary>
public override void Initialize()
{
SetStartDate(2013, 10, 07);
SetEndDate(2013, 10, 11);
SetCash(100 * 1000);
_spy = AddEquity("SPY").Symbol;
_fast = EMA("SPY", 10);
_slow = EMA("SPY", 100);
// Initialize this flag, to check when the ema indicators crosses between themselves
_emaFastIsNotSet = true;
// Set CrunchDAO signal export provider
SignalExport.AddSignalExportProviders(new CrunchDAOSignalExport(_crunchDAOApiKey, _crunchDAOModel, _crunchDAOSubmissionName, _crunchDAOComment));
}
/// <summary>
/// Reduce the quantity of holdings for SPY or increase it, depending the case,
/// when the EMA's indicators crosses between themselves, then send a signal to
/// CrunchDAO API
/// </summary>
/// <param name="slice"></param>
public override void OnData(Slice slice)
{
// Wait for our indicators to be ready
if (!_fast.IsReady || !_slow.IsReady) return;
// Set the value of flag _emaFastWasAbove, to know when the ema indicators crosses between themselves
if (_emaFastIsNotSet)
{
if (_fast > _slow * 1.001m)
{
_emaFastWasAbove = true;
}
else
{
_emaFastWasAbove = false;
}
_emaFastIsNotSet = false;
}
// Check whether ema fast and ema slow crosses. If they do, set holdings to SPY
// or reduce its holdings, update its value in target and send signals to
// CrunchDAO API from target
if ((_fast > _slow * 1.001m) && (!_emaFastWasAbove))
{
SetHoldings("SPY", 0.1);
var target= new PortfolioTarget(_spy, (decimal)0.1);
SignalExport.SetTargetPortfolio(target);
}
else if ((_fast < _slow * 0.999m) && (_emaFastWasAbove))
{
SetHoldings("SPY", 0.01);
var target = new PortfolioTarget(_spy, (decimal)0.01);
SignalExport.SetTargetPortfolio(target);
}
}
/// <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 virtual Language[] Languages { get; } = { Language.CSharp, Language.Python };
/// <summary>
/// Data Points count of all timeslices of algorithm
/// </summary>
public long DataPoints => 3943;
/// <summary>
/// Data Points count of the algorithm history
/// </summary>
public int AlgorithmHistoryDataPoints => 0;
/// <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 Trades", "6"},
{"Average Win", "0%"},
{"Average Loss", "0.00%"},
{"Compounding Annual Return", "9.215%"},
{"Drawdown", "0.200%"},
{"Expectancy", "-1"},
{"Net Profit", "0.113%"},
{"Sharpe Ratio", "5.01"},
{"Probabilistic Sharpe Ratio", "66.849%"},
{"Loss Rate", "100%"},
{"Win Rate", "0%"},
{"Profit-Loss Ratio", "0"},
{"Alpha", "-0.085"},
{"Beta", "0.098"},
{"Annual Standard Deviation", "0.022"},
{"Annual Variance", "0"},
{"Information Ratio", "-9.336"},
{"Tracking Error", "0.201"},
{"Treynor Ratio", "1.115"},
{"Total Fees", "$6.00"},
{"Estimated Strategy Capacity", "$28000000.00"},
{"Lowest Capacity Asset", "SPY R735QTJ8XC9X"},
{"Portfolio Turnover", "2.13%"},
{"OrderListHash", "1307d40ce1405e5454e0b565f333d6c3"}
};
}
}