/*
* 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.Data;
using QuantConnect.Interfaces;
using QuantConnect.Orders;
using QuantConnect.Securities;
using QuantConnect.Securities.Future;
namespace QuantConnect.Algorithm.CSharp
{
///
/// This regression algorithm tests the behavior of SetHoldings for futures, see GH issue 4027
///
public class SetHoldingsFutureRegressionAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition
{
private Symbol _contractSymbol;
private bool _invertedPosition;
///
/// Initialize your algorithm and add desired assets.
///
public override void Initialize()
{
SetStartDate(2013, 10, 08);
SetEndDate(2013, 10, 10);
SetCash(1000000);
var future = AddFuture(Futures.Indices.SP500EMini);
// set our expiry filter for this futures chain
future.SetFilter(TimeSpan.Zero, TimeSpan.FromDays(182));
}
///
/// Event - v3.0 DATA EVENT HANDLER: (Pattern) Basic template for user to override for receiving all subscription data in a single event
///
/// The current slice of data keyed by symbol string
public override void OnData(Slice slice)
{
if (!Portfolio.Invested && !_invertedPosition)
{
foreach (var chain in slice.FutureChains)
{
// find the front contract expiring no earlier than in 90 days
var contract = (
from futuresContract in chain.Value.OrderBy(x => x.Expiry)
where futuresContract.Expiry > Time.Date.AddDays(90)
select futuresContract
).FirstOrDefault();
// if found, trade it
if (contract != null)
{
_contractSymbol = contract.Symbol;
try
{
SetHoldings(_contractSymbol, 1.1);
throw new Exception("We expect invalid target for futures to throw an exception");
}
catch (InvalidOperationException)
{
// expected
}
try
{
SetHoldings(_contractSymbol, -1.1);
throw new Exception("We expect invalid target for futures to throw an exception");
}
catch (InvalidOperationException)
{
// expected
}
SetHoldings(_contractSymbol, 1);
}
}
}
else
{
if (!_invertedPosition)
{
// lets reverse our position now
SetHoldings(_contractSymbol, -1);
_invertedPosition = true;
}
else
{
Liquidate();
}
}
}
public override void OnOrderEvent(OrderEvent orderEvent)
{
if (orderEvent.Status == OrderStatus.Filled && Portfolio.Invested)
{
Log($"{orderEvent} - Portfolio.MarginRemaining {Portfolio.MarginRemaining}");
if (Portfolio.TotalHoldingsValue / Portfolio.TotalPortfolioValue < 10)
{
throw new Exception("Expected to be trading using the futures margin leverage");
}
var security = Securities[_contractSymbol];
var model = security.BuyingPowerModel as FutureMarginModel;
var marginUsed = model.MaintenanceOvernightMarginRequirement * security.Holdings.AbsoluteQuantity;
if ((Portfolio.TotalMarginUsed - marginUsed) != 0)
{
throw new Exception($"We expect TotalMarginUsed to be {marginUsed}, but was {Portfolio.TotalMarginUsed}");
}
var initialMarginRequired = model.InitialOvernightMarginRequirement * security.Holdings.AbsoluteQuantity;
if (Portfolio.TotalPortfolioValue - initialMarginRequired > model.InitialOvernightMarginRequirement * security.SymbolProperties.LotSize)
{
throw new Exception("We expect to be trading using the biggest position we can, there seems to be room for another contract");
}
}
}
///
/// 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 };
///
/// 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", "3"},
{"Average Win", "0%"},
{"Average Loss", "-0.73%"},
{"Compounding Annual Return", "-81.109%"},
{"Drawdown", "0.700%"},
{"Expectancy", "-1"},
{"Net Profit", "-1.360%"},
{"Sharpe Ratio", "0"},
{"Probabilistic Sharpe Ratio", "0%"},
{"Loss Rate", "100%"},
{"Win Rate", "0%"},
{"Profit-Loss Ratio", "0"},
{"Alpha", "0"},
{"Beta", "0"},
{"Annual Standard Deviation", "0"},
{"Annual Variance", "0"},
{"Information Ratio", "-27.839"},
{"Tracking Error", "0.196"},
{"Treynor Ratio", "0"},
{"Total Fees", "$1753.80"},
{"Fitness Score", "0.5"},
{"Kelly Criterion Estimate", "0"},
{"Kelly Criterion Probability Value", "0"},
{"Sortino Ratio", "79228162514264337593543950335"},
{"Return Over Maximum Drawdown", "-60.919"},
{"Portfolio Turnover", "26.589"},
{"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", "-655775608"}
};
}
}