Files
quantconnect--lean/Algorithm.CSharp/BasicTemplateIndexAlgorithm.cs
T
Colton Sellers d2d99b1f10
Regression Tests / build (push) Has been cancelled
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Algorithm Sampling and Statistics Fixes (#5936)
* Implement scheduled event sampling solution

* Use UTC time, only update daily portfolio value once a day

* For daily resolutions sample chart always

* Cleanup

* Drop resample daily all together

* Force final sample

* Regression updates

* FIx LiveResultHandler to update portfolio and benchmark values outside of sampling event

* Name the daily sampling event

* Address review pt 1

* Drop force and use reference wrapper

* Adjust tests

* Fix warning for Benchmark Timezone Misalignment and also add test

* Fix for daily resolution orders and test adjustments

* Also warn on universe settings with daily resolution

* Update missed regression

* Fix reference wrapper use

* Update regression after rebase

* Add values back in for Daylight Algo

* Have statistics builder skip day 1 performance

* Regression adjustments

* Test adjustments

* Update regression unit test

* Adjust some regressions starts to show performance values

* Add hourly algorithm for beta comparison

* Address missing Python regression changes

* Remove null comment
2021-10-05 19:31:25 -03:00

159 lines
5.6 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 System;
using QuantConnect.Data;
using System.Collections.Generic;
using QuantConnect.Indicators;
using QuantConnect.Interfaces;
namespace QuantConnect.Algorithm.CSharp
{
/// <summary>
/// This example demonstrates how to add index asset types.
/// </summary>
/// <meta name="tag" content="using data" />
/// <meta name="tag" content="benchmarks" />
/// <meta name="tag" content="indexes" />
public class BasicTemplateIndexAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition
{
private Symbol _spx;
private Symbol _spxOption;
private ExponentialMovingAverage _emaSlow;
private ExponentialMovingAverage _emaFast;
/// <summary>
/// Initialize your algorithm and add desired assets.
/// </summary>
public override void Initialize()
{
SetStartDate(2021, 1, 4);
SetEndDate(2021, 1, 15);
SetCash(1000000);
// Use indicator for signal; but it cannot be traded
_spx = AddIndex("SPX", Resolution.Minute).Symbol;
// Trade on SPX ITM calls
_spxOption = QuantConnect.Symbol.CreateOption(
_spx,
Market.USA,
OptionStyle.European,
OptionRight.Call,
3200m,
new DateTime(2021, 1, 15));
AddIndexOptionContract(_spxOption, Resolution.Minute);
_emaSlow = EMA(_spx, 80);
_emaFast = EMA(_spx, 200);
}
/// <summary>
/// Index EMA Cross trading underlying.
/// </summary>
public override void OnData(Slice slice)
{
if (!slice.Bars.ContainsKey(_spx) || !slice.Bars.ContainsKey(_spxOption))
{
return;
}
// Warm up indicators
if (!_emaSlow.IsReady)
{
return;
}
if (_emaFast > _emaSlow)
{
SetHoldings(_spxOption, 1);
}
else
{
Liquidate();
}
}
public override void OnEndOfAlgorithm()
{
if (Portfolio[_spx].TotalSaleVolume > 0)
{
throw new Exception("Index is not tradable.");
}
}
/// <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 Language[] Languages { get; } = { Language.CSharp, Language.Python };
/// <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", "4"},
{"Average Win", "0%"},
{"Average Loss", "-53.10%"},
{"Compounding Annual Return", "-96.172%"},
{"Drawdown", "10.100%"},
{"Expectancy", "-1"},
{"Net Profit", "-9.915%"},
{"Sharpe Ratio", "-4.068"},
{"Probabilistic Sharpe Ratio", "0.055%"},
{"Loss Rate", "100%"},
{"Win Rate", "0%"},
{"Profit-Loss Ratio", "0"},
{"Alpha", "-0.745"},
{"Beta", "0.432"},
{"Annual Standard Deviation", "0.126"},
{"Annual Variance", "0.016"},
{"Information Ratio", "-7.972"},
{"Tracking Error", "0.132"},
{"Treynor Ratio", "-1.189"},
{"Total Fees", "$0.00"},
{"Estimated Strategy Capacity", "$14000000.00"},
{"Lowest Capacity Asset", "SPX XL80P3GHDZXQ|SPX 31"},
{"Fitness Score", "0.044"},
{"Kelly Criterion Estimate", "0"},
{"Kelly Criterion Probability Value", "0"},
{"Sortino Ratio", "-1.96"},
{"Return Over Maximum Drawdown", "-10.171"},
{"Portfolio Turnover", "0.34"},
{"Total Insights Generated", "0"},
{"Total Insights Closed", "0"},
{"Total Insights Analysis Completed", "0"},
{"Long Insight Count", "0"},
{"Short Insight Count", "0"},
{"Long/Short Ratio", "100%"},
{"Estimated Monthly Alpha Value", "$0"},
{"Total Accumulated Estimated Alpha Value", "$0"},
{"Mean Population Estimated Insight Value", "$0"},
{"Mean Population Direction", "0%"},
{"Mean Population Magnitude", "0%"},
{"Rolling Averaged Population Direction", "0%"},
{"Rolling Averaged Population Magnitude", "0%"},
{"OrderListHash", "52521ab779446daf4d38a7c9bbbdd893"}
};
}
}