/*
* 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 System.Linq;
using QuantConnect.Algorithm.Framework.Alphas;
using QuantConnect.Algorithm.Framework.Portfolio;
using QuantConnect.Algorithm.Framework.Selection;
using QuantConnect.Data.UniverseSelection;
using QuantConnect.Orders;
using QuantConnect.Interfaces;
namespace QuantConnect.Algorithm.CSharp
{
///
/// Regression algorithm for testing scheduling functions
///
public class ScheduledUniverseSelectionModelRegressionAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition
{
public override void Initialize()
{
UniverseSettings.Resolution = Resolution.Hour;
SetStartDate(2017, 01, 01);
SetEndDate(2017, 02, 01);
// selection will run on mon/tues/thurs at 00:00/12:00
SetUniverseSelection(new ScheduledUniverseSelectionModel(
DateRules.Every(DayOfWeek.Monday, DayOfWeek.Tuesday, DayOfWeek.Thursday),
TimeRules.Every(TimeSpan.FromHours(12)),
SelectSymbols
));
SetAlpha(new ConstantAlphaModel(InsightType.Price, InsightDirection.Up, TimeSpan.FromDays(1)));
SetPortfolioConstruction(new EqualWeightingPortfolioConstructionModel());
}
private IEnumerable SelectSymbols(DateTime dateTime)
{
Log($"SelectSymbols() {Time}");
if (dateTime.DayOfWeek == DayOfWeek.Monday || dateTime.DayOfWeek == DayOfWeek.Tuesday)
{
yield return QuantConnect.Symbol.Create("SPY", SecurityType.Equity, Market.USA);
}
else if (dateTime.DayOfWeek == DayOfWeek.Wednesday)
{
// given the date/time rules specified in Initialize, this symbol will never be selected (not invoked on wednesdays)
yield return QuantConnect.Symbol.Create("AAPL", SecurityType.Equity, Market.USA);
}
else
{
yield return QuantConnect.Symbol.Create("IBM", SecurityType.Equity, Market.USA);
}
if (dateTime.DayOfWeek == DayOfWeek.Tuesday || dateTime.DayOfWeek == DayOfWeek.Thursday)
{
yield return QuantConnect.Symbol.Create("EURUSD", SecurityType.Forex, Market.FXCM);
}
else if (dateTime.DayOfWeek == DayOfWeek.Friday)
{
// given the date/time rules specified in Initialize, this symbol will never be selected (every 6 hours never lands on hour==1)
yield return QuantConnect.Symbol.Create("EURGBP", SecurityType.Forex, Market.FXCM);
}
else
{
yield return QuantConnect.Symbol.Create("NZDUSD", SecurityType.Forex, Market.FXCM);
}
}
// some days of the week have different behavior the first time -- less securities to remove
private readonly HashSet _seenDays = new HashSet();
public override void OnSecuritiesChanged(SecurityChanges changes)
{
Console.WriteLine($"{Time}: {changes}");
switch (Time.DayOfWeek)
{
case DayOfWeek.Monday:
ExpectAdditions(changes, "SPY", "NZDUSD");
if (_seenDays.Add(DayOfWeek.Monday))
{
ExpectRemovals(changes, null);
}
else
{
ExpectRemovals(changes, "EURUSD", "IBM");
}
break;
case DayOfWeek.Tuesday:
ExpectAdditions(changes, "EURUSD");
if (_seenDays.Add(DayOfWeek.Tuesday))
{
ExpectRemovals(changes, "NZDUSD");
}
else
{
ExpectRemovals(changes, "NZDUSD");
}
break;
case DayOfWeek.Wednesday:
// selection function not invoked on wednesdays
ExpectAdditions(changes, null);
ExpectRemovals(changes, null);
break;
case DayOfWeek.Thursday:
ExpectAdditions(changes, "IBM");
ExpectRemovals(changes, "SPY");
break;
case DayOfWeek.Friday:
// selection function not invoked on fridays
ExpectAdditions(changes, null);
ExpectRemovals(changes, null);
break;
}
}
public override void OnOrderEvent(OrderEvent orderEvent)
{
Console.WriteLine($"{Time}: {orderEvent}");
}
private void ExpectAdditions(SecurityChanges changes, params string[] tickers)
{
if (tickers == null && changes.AddedSecurities.Count > 0)
{
throw new Exception($"{Time}: Expected no additions: {Time.DayOfWeek}");
}
if (tickers == null)
{
return;
}
foreach (var ticker in tickers)
{
if (changes.AddedSecurities.All(s => s.Symbol.Value != ticker))
{
throw new Exception($"{Time}: Expected {ticker} to be added: {Time.DayOfWeek}");
}
}
}
private void ExpectRemovals(SecurityChanges changes, params string[] tickers)
{
if (tickers == null && changes.RemovedSecurities.Count > 0)
{
throw new Exception($"{Time}: Expected no removals: {Time.DayOfWeek}");
}
if (tickers == null)
{
return;
}
foreach (var ticker in tickers)
{
if (changes.RemovedSecurities.All(s => s.Symbol.Value != ticker))
{
throw new Exception($"{Time}: Expected {ticker} to be removed: {Time.DayOfWeek}");
}
}
}
///
/// This is used by the regression test system to indicate if the open source Lean repository has the required data to run this algorithm.
///
public bool CanRunLocally { get; } = true;
///
/// This is used by the regression test system to indicate which languages this algorithm is written in.
///
public Language[] Languages { get; } = { Language.CSharp, Language.Python };
///
/// This is used by the regression test system to indicate what the expected statistics are from running the algorithm
///
public Dictionary ExpectedStatistics => new Dictionary
{
{"Total Trades", "52"},
{"Average Win", "0.27%"},
{"Average Loss", "-0.17%"},
{"Compounding Annual Return", "42.607%"},
{"Drawdown", "1.000%"},
{"Expectancy", "0.770"},
{"Net Profit", "3.211%"},
{"Sharpe Ratio", "4.354"},
{"Loss Rate", "32%"},
{"Win Rate", "68%"},
{"Profit-Loss Ratio", "1.60"},
{"Alpha", "0.23"},
{"Beta", "0.092"},
{"Annual Standard Deviation", "0.056"},
{"Annual Variance", "0.003"},
{"Information Ratio", "1.443"},
{"Tracking Error", "0.072"},
{"Treynor Ratio", "2.653"},
{"Total Fees", "$36.84"},
{"Total Insights Generated", "54"},
{"Total Insights Closed", "52"},
{"Total Insights Analysis Completed", "52"},
{"Long Insight Count", "54"},
{"Short Insight Count", "0"},
{"Long/Short Ratio", "100%"},
{"Estimated Monthly Alpha Value", "$522229.0161"},
{"Total Accumulated Estimated Alpha Value", "$569374.6912"},
{"Mean Population Estimated Insight Value", "$10949.5133"},
{"Mean Population Direction", "59.6154%"},
{"Mean Population Magnitude", "0%"},
{"Rolling Averaged Population Direction", "64.3454%"},
{"Rolling Averaged Population Magnitude", "0%"}
};
}
}