Files
quantconnect--lean/Algorithm.CSharp/ManuallySetMarketHoursAndSymbolPropertiesDatabaseEntriesAlgorithm.cs
2026-07-13 13:02:50 +08:00

158 lines
7.5 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.Interfaces;
using QuantConnect.Securities;
namespace QuantConnect.Algorithm.CSharp
{
/// <summary>
/// Algorithm illustrating how to manually set market hours and symbol properties database entries to be picked up by the algorithm's securities.
/// This specific case illustrates how to do it for CFDs to match InteractiveBrokers brokerage, which has different market hours
/// depending on the CFD underlying asset.
/// </summary>
public class ManuallySetMarketHoursAndSymbolPropertiesDatabaseEntriesAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition
{
public override void Initialize()
{
SetStartDate(2013, 10, 07);
SetEndDate(2013, 10, 07);
SetCash(100000);
SetBrokerageModel(Brokerages.BrokerageName.InteractiveBrokersBrokerage);
// Some brokerages like InteractiveBrokers make a difference on CFDs depending on the underlying (equity, index, metal, forex).
// Depending on this, the market hours can be different. In order to be more specific with the market hours,
// we can set the MarketHoursDatabase entry for the CFDs.
// Equity CFDs are usually traded the same hours as the equity market.
var equityMarketHoursEntry = MarketHoursDatabase.GetEntry(Market.USA, (string)null, SecurityType.Equity);
MarketHoursDatabase.SetEntry(Market.InteractiveBrokers, null, SecurityType.Cfd,
equityMarketHoursEntry.ExchangeHours, equityMarketHoursEntry.DataTimeZone);
// The same can be done for the symbol properties, in case they are different depending on the underlying
var equitySymbolProperties = SymbolPropertiesDatabase.GetSymbolProperties(Market.USA, null, SecurityType.Equity, Currencies.USD);
SymbolPropertiesDatabase.SetEntry(Market.InteractiveBrokers, null, SecurityType.Cfd, equitySymbolProperties);
var spyCfd = AddCfd("SPY", market: Market.InteractiveBrokers);
if (!ReferenceEquals(spyCfd.Exchange.Hours, equityMarketHoursEntry.ExchangeHours))
{
throw new RegressionTestException("Expected the SPY CFD market hours to be the same as the underlying equity market hours.");
}
if (!SymbolPropertiesAreEquivalent(spyCfd.SymbolProperties, equitySymbolProperties))
{
throw new RegressionTestException("Expected the SPY CFD symbol properties to be the same as the underlying equity symbol properties.");
}
// We can also do it for a specific ticker:
var audUsdForexMarketHoursEntry = MarketHoursDatabase.GetEntry(Market.Oanda, (string)null, SecurityType.Forex);
MarketHoursDatabase.SetEntry(Market.InteractiveBrokers, "AUDUSD", SecurityType.Cfd,
audUsdForexMarketHoursEntry.ExchangeHours, audUsdForexMarketHoursEntry.DataTimeZone);
var audUsdForexSymbolProperties = SymbolPropertiesDatabase.GetSymbolProperties(Market.Oanda, "AUDUSD", SecurityType.Forex, Currencies.USD);
SymbolPropertiesDatabase.SetEntry(Market.InteractiveBrokers, "AUDUSD", SecurityType.Cfd, audUsdForexSymbolProperties);
var audUsdCfd = AddCfd("AUDUSD", market: Market.InteractiveBrokers);
if (!ReferenceEquals(audUsdCfd.Exchange.Hours, audUsdForexMarketHoursEntry.ExchangeHours))
{
throw new RegressionTestException("Expected the AUDUSD CFD market hours to be the same as the underlying forex market hours.");
}
if (!SymbolPropertiesAreEquivalent(audUsdCfd.SymbolProperties, audUsdForexSymbolProperties))
{
throw new RegressionTestException("Expected the AUDUSD CFD symbol properties to be the same as the underlying forex symbol properties.");
}
}
private static bool SymbolPropertiesAreEquivalent(SymbolProperties a, SymbolProperties b)
{
return a.Description == b.Description &&
a.QuoteCurrency == b.QuoteCurrency &&
a.ContractMultiplier == b.ContractMultiplier &&
a.MinimumPriceVariation == b.MinimumPriceVariation &&
a.LotSize == b.LotSize &&
a.MarketTicker == b.MarketTicker &&
a.MinimumOrderSize == b.MinimumOrderSize &&
a.PriceMagnifier == b.PriceMagnifier &&
a.StrikeMultiplier == b.StrikeMultiplier;
}
/// <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 List<Language> Languages { get; } = new() { Language.CSharp, Language.Python };
/// <summary>
/// Data Points count of all timeslices of algorithm
/// </summary>
public long DataPoints => 1;
/// <summary>
/// Data Points count of the algorithm history
/// </summary>
public int AlgorithmHistoryDataPoints => 0;
/// <summary>
/// Final status of the algorithm
/// </summary>
public AlgorithmStatus AlgorithmStatus => AlgorithmStatus.Completed;
/// <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 Orders", "0"},
{"Average Win", "0%"},
{"Average Loss", "0%"},
{"Compounding Annual Return", "0%"},
{"Drawdown", "0%"},
{"Expectancy", "0"},
{"Start Equity", "100000"},
{"End Equity", "100000"},
{"Net Profit", "0%"},
{"Sharpe Ratio", "0"},
{"Sortino Ratio", "0"},
{"Probabilistic Sharpe Ratio", "0%"},
{"Loss Rate", "0%"},
{"Win Rate", "0%"},
{"Profit-Loss Ratio", "0"},
{"Alpha", "0"},
{"Beta", "0"},
{"Annual Standard Deviation", "0"},
{"Annual Variance", "0"},
{"Information Ratio", "0"},
{"Tracking Error", "0"},
{"Treynor Ratio", "0"},
{"Total Fees", "$0.00"},
{"Estimated Strategy Capacity", "$0"},
{"Lowest Capacity Asset", ""},
{"Portfolio Turnover", "0%"},
{"Drawdown Recovery", "0"},
{"OrderListHash", "d41d8cd98f00b204e9800998ecf8427e"}
};
}
}