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quantconnect--lean/Algorithm.CSharp/TimeInForceAlgorithm.cs
T
Alexandre Catarino aab5391d80
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Fixes Limit Price Above/Below Open Case (#7060)
* Adds Unit Test For Limit Price Above/Below Open

See `LimitOrderFillsAtOpenWithFavorableGap`

* Fixes Limit Price Above/Below Open

If we place a buy/sell limit order below/above the current market price in TWS it fills immediately, so we model this behavior by filling with the opening price of the first trade bar.

* Updates Regression Tests

The number of trades did not change as expected. The fills are better because orders are filling with the open price when the new condition is met.
2023-03-10 14:23:45 -03:00

190 lines
8.0 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;
using QuantConnect.Interfaces;
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, 140m);
_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 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>
/// Data Points count of all timeslices of algorithm
/// </summary>
public long DataPoints => 3943;
/// <summary>
/// Data Points count of the algorithm history
/// </summary>
public int AlgorithmHistoryDataPoints => 0;
/// <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", "5.659%"},
{"Drawdown", "0.100%"},
{"Expectancy", "0"},
{"Net Profit", "0.070%"},
{"Sharpe Ratio", "5.022"},
{"Probabilistic Sharpe Ratio", "67.468%"},
{"Loss Rate", "0%"},
{"Win Rate", "0%"},
{"Profit-Loss Ratio", "0"},
{"Alpha", "-0.037"},
{"Beta", "0.043"},
{"Annual Standard Deviation", "0.01"},
{"Annual Variance", "0"},
{"Information Ratio", "-9.086"},
{"Tracking Error", "0.213"},
{"Treynor Ratio", "1.118"},
{"Total Fees", "$3.00"},
{"Estimated Strategy Capacity", "$44000000.00"},
{"Lowest Capacity Asset", "SPY R735QTJ8XC9X"},
{"Portfolio Turnover", "0.87%"},
{"OrderListHash", "858d5169015924dd480bc30bd2699ed3"}
};
}
}