/*
* 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.Alphas;
using QuantConnect.Algorithm.Framework.Execution;
using QuantConnect.Algorithm.Framework.Portfolio;
using QuantConnect.Algorithm.Framework.Selection;
using QuantConnect.Brokerages;
using QuantConnect.Data;
using QuantConnect.Data.UniverseSelection;
using System;
using System.Collections.Generic;
using System.Linq;
namespace QuantConnect.Algorithm.CSharp
{
///
/// Basic template framework algorithm uses framework components to define the algorithm.
/// Liquid ETF Competition template
///
///
///
///
public class LiquidETFUniverseFrameworkAlgorithm : QCAlgorithm
{
// List of symbols we want to trade. Set it in OnSecuritiesChanged
private readonly List _symbols = new List();
public override void Initialize()
{
// Set Start Date so that backtest has 5+ years of data
SetStartDate(2014, 11, 1);
// No need to set End Date as the final submission will be tested
// up until the review date
// Set $1m Strategy Cash to trade significant AUM
SetCash(1000000);
// Add a relevant benchmark, with the default being SPY
SetBenchmark("SPY");
// Use the Alpha Streams Brokerage Model, developed in conjunction with
// funds to model their actual fees, costs, etc.
// Please do not add any additional reality modelling, such as Slippage, Fees, Buying Power, etc.
SetBrokerageModel(new AlphaStreamsBrokerageModel());
// Use the LiquidETFUniverse with minute-resolution data
UniverseSettings.Resolution = Resolution.Minute;
SetUniverseSelection(new LiquidETFUniverse());
// Optional
SetPortfolioConstruction(new EqualWeightingPortfolioConstructionModel());
SetExecution(new ImmediateExecutionModel());
}
public override void OnData(Slice slice)
{
if (_symbols.All(x => Portfolio[x].Invested))
{
return;
}
var insights = _symbols.Where(x => Securities[x].Price > 0)
.Select(x => Insight.Price(x, TimeSpan.FromDays(1), InsightDirection.Up))
.ToArray();
if (insights.Length > 0)
{
EmitInsights(insights);
}
}
public override void OnSecuritiesChanged(SecurityChanges changes)
{
// Set symbols as the Inverse Energy ETFs
foreach (var security in changes.AddedSecurities)
{
if (LiquidETFUniverse.Energy.Inverse.Contains(security.Symbol))
{
_symbols.Add(security.Symbol);
}
}
// Print out the information about the groups
Log($"Energy: {LiquidETFUniverse.Energy}");
Log($"Metals: {LiquidETFUniverse.Metals}");
Log($"Technology: {LiquidETFUniverse.Technology}");
Log($"Treasuries: {LiquidETFUniverse.Treasuries}");
Log($"Volatility: {LiquidETFUniverse.Volatility}");
Log($"SP500Sectors: {LiquidETFUniverse.SP500Sectors}");
}
}
}