9ee61f425c
A mechanical refactoring was performed to make algorithms currently used in regression algorithms to implement IRegressionAlgorithmDefinition, which allows algorithms to define their own expected statistics and what languages should be run as part of regression. The type name of the C# type is used to determine the file/model name for python. This was for simplicity, but if needed, could later be refactored to expose more information, but for now the convention of keeping names the same makes sense and just works easily.
169 lines
7.2 KiB
C#
169 lines
7.2 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 System.Collections.Generic;
|
|
using QuantConnect.Data;
|
|
using QuantConnect.Orders;
|
|
|
|
namespace QuantConnect.Algorithm.CSharp
|
|
{
|
|
/// <summary>
|
|
/// Demonstration algorithm of time in force order settings.
|
|
/// </summary>
|
|
/// <meta name="tag" content="using data" />
|
|
/// <meta name="tag" content="using quantconnect" />
|
|
/// <meta name="tag" content="trading and orders" />
|
|
public class TimeInForceAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition
|
|
{
|
|
private Symbol _symbol;
|
|
private OrderTicket _gtcOrderTicket1, _gtcOrderTicket2;
|
|
private OrderTicket _dayOrderTicket1, _dayOrderTicket2;
|
|
private OrderTicket _gtdOrderTicket1, _gtdOrderTicket2;
|
|
private readonly Dictionary<int, OrderStatus> _expectedOrderStatuses = new Dictionary<int, OrderStatus>();
|
|
|
|
/// <summary>
|
|
/// Initialise the data and resolution required, as well as the cash and start-end dates for your algorithm. All algorithms must initialized.
|
|
/// </summary>
|
|
public override void Initialize()
|
|
{
|
|
SetStartDate(2013, 10, 07);
|
|
SetEndDate(2013, 10, 11);
|
|
SetCash(100000);
|
|
|
|
// The default time in force setting for all orders is GoodTilCancelled (GTC),
|
|
// uncomment this line to set a different time in force.
|
|
// We currently only support GTC, DAY, GTD.
|
|
// DefaultOrderProperties.TimeInForce = TimeInForce.Day;
|
|
|
|
_symbol = AddEquity("SPY", Resolution.Minute).Symbol;
|
|
}
|
|
|
|
/// <summary>
|
|
/// OnData event is the primary entry point for your algorithm. Each new data point will be pumped in here.
|
|
/// </summary>
|
|
/// <param name="data">Slice object keyed by symbol containing the stock data</param>
|
|
public override void OnData(Slice data)
|
|
{
|
|
if (_gtcOrderTicket1 == null)
|
|
{
|
|
// These GTC orders will never expire and will not be canceled automatically.
|
|
|
|
DefaultOrderProperties.TimeInForce = TimeInForce.GoodTilCanceled;
|
|
|
|
// this order will not be filled before the end of the backtest
|
|
_gtcOrderTicket1 = LimitOrder(_symbol, 10, 100m);
|
|
_expectedOrderStatuses.Add(_gtcOrderTicket1.OrderId, OrderStatus.Submitted);
|
|
|
|
// this order will be filled before the end of the backtest
|
|
_gtcOrderTicket2 = LimitOrder(_symbol, 10, 160m);
|
|
_expectedOrderStatuses.Add(_gtcOrderTicket2.OrderId, OrderStatus.Filled);
|
|
}
|
|
|
|
if (_dayOrderTicket1 == null)
|
|
{
|
|
// These DAY orders will expire at market close,
|
|
// if not filled by then they will be canceled automatically.
|
|
|
|
DefaultOrderProperties.TimeInForce = TimeInForce.Day;
|
|
|
|
// this order will not be filled before market close and will be canceled
|
|
_dayOrderTicket1 = LimitOrder(_symbol, 10, 160m);
|
|
_expectedOrderStatuses.Add(_dayOrderTicket1.OrderId, OrderStatus.Canceled);
|
|
|
|
// this order will be filled before market close
|
|
_dayOrderTicket2 = LimitOrder(_symbol, 10, 180m);
|
|
_expectedOrderStatuses.Add(_dayOrderTicket2.OrderId, OrderStatus.Filled);
|
|
}
|
|
|
|
if (_gtdOrderTicket1 == null)
|
|
{
|
|
// These GTD orders will expire on October 10th at market close,
|
|
// if not filled by then they will be canceled automatically.
|
|
|
|
DefaultOrderProperties.TimeInForce = TimeInForce.GoodTilDate(new DateTime(2013, 10, 10));
|
|
|
|
// this order will not be filled before expiry and will be canceled
|
|
_gtdOrderTicket1 = LimitOrder(_symbol, 10, 100m);
|
|
_expectedOrderStatuses.Add(_gtdOrderTicket1.OrderId, OrderStatus.Canceled);
|
|
|
|
// this order will be filled before expiry
|
|
_gtdOrderTicket2 = LimitOrder(_symbol, 10, 160m);
|
|
_expectedOrderStatuses.Add(_gtdOrderTicket2.OrderId, OrderStatus.Filled);
|
|
}
|
|
}
|
|
|
|
/// <summary>
|
|
/// Order event handler. This handler will be called for all order events, including submissions, fills, cancellations.
|
|
/// </summary>
|
|
/// <param name="orderEvent">Order event instance containing details of the event</param>
|
|
/// <remarks>This method can be called asynchronously, ensure you use proper locks on thread-unsafe objects</remarks>
|
|
public override void OnOrderEvent(OrderEvent orderEvent)
|
|
{
|
|
Debug($"{Time} {orderEvent}");
|
|
}
|
|
|
|
/// <summary>
|
|
/// End of algorithm run event handler. This method is called at the end of a backtest or live trading operation.
|
|
/// </summary>
|
|
public override void OnEndOfAlgorithm()
|
|
{
|
|
foreach (var kvp in _expectedOrderStatuses)
|
|
{
|
|
var orderId = kvp.Key;
|
|
var expectedStatus = kvp.Value;
|
|
|
|
var order = Transactions.GetOrderById(orderId);
|
|
|
|
if (order.Status != expectedStatus)
|
|
{
|
|
throw new Exception($"Invalid status for order {orderId} - Expected: {expectedStatus}, actual: {order.Status}");
|
|
}
|
|
}
|
|
}
|
|
|
|
/// <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", "3"},
|
|
{"Average Win", "0%"},
|
|
{"Average Loss", "0%"},
|
|
{"Compounding Annual Return", "9.319%"},
|
|
{"Drawdown", "0.100%"},
|
|
{"Expectancy", "0"},
|
|
{"Net Profit", "0.114%"},
|
|
{"Sharpe Ratio", "7.351"},
|
|
{"Loss Rate", "0%"},
|
|
{"Win Rate", "0%"},
|
|
{"Profit-Loss Ratio", "0"},
|
|
{"Alpha", "-0.003"},
|
|
{"Beta", "5.432"},
|
|
{"Annual Standard Deviation", "0.008"},
|
|
{"Annual Variance", "0"},
|
|
{"Information Ratio", "6.013"},
|
|
{"Tracking Error", "0.008"},
|
|
{"Treynor Ratio", "0.011"},
|
|
{"Total Fees", "$3.00"}
|
|
};
|
|
}
|
|
}
|