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quantconnect--lean/Algorithm.CSharp/FractionalQuantityRegressionAlgorithm.cs
T
2018-02-12 17:40:28 +01:00

84 lines
3.2 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 QuantConnect.Data.Consolidators;
using QuantConnect.Data.Market;
using System;
using QuantConnect.Brokerages;
using QuantConnect.Securities;
namespace QuantConnect.Algorithm.CSharp
{
/// <summary>
/// Regression algorithm for fractional forex pair
/// </summary>
public class FractionalQuantityRegressionAlgorithm : QCAlgorithm
{
/// <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(2015, 11, 12);
SetEndDate(2016, 04, 01);
//Set the cash for the strategy:
SetCash(100000);
SetBrokerageModel(BrokerageName.GDAX, AccountType.Cash);
SetTimeZone(NodaTime.DateTimeZone.Utc);
var security = AddSecurity(SecurityType.Crypto, "BTCUSD", Resolution.Daily, Market.GDAX, false, 3.3m, true);
// The default buying power model for the Crypto security type is now CashBuyingPowerModel.
// Since this test algorithm uses leverage we need to set a buying power model with margin.
security.BuyingPowerModel = new SecurityMarginModel(3.3m);
var con = new QuoteBarConsolidator(1);
SubscriptionManager.AddConsolidator("BTCUSD", con);
con.DataConsolidated += DataConsolidated;
SetBenchmark(security.Symbol);
}
private void DataConsolidated(object sender, QuoteBar e)
{
var quantity = Math.Truncate((Portfolio.Cash + Portfolio.TotalFees) / Math.Abs(e.Value + 1));
if (!Portfolio.Invested)
{
Order("BTCUSD", quantity);
}
else if (Portfolio["BTCUSD"].Quantity == quantity)
{
Order("BTCUSD", 0.1);
}
else if (Portfolio["BTCUSD"].Quantity == quantity + 0.1m)
{
Order("BTCUSD", 0.01);
}
else if (Portfolio["BTCUSD"].Quantity == quantity + 0.11m)
{
Order("BTCUSD", -0.02);
}
else if (Portfolio["BTCUSD"].Quantity == quantity + 0.09m)
{
//should fail (below minimum order quantity)
Order("BTCUSD", 0.00001);
SetHoldings("BTCUSD", -2.0m);
SetHoldings("BTCUSD", 2.0m);
Quit();
}
}
}
}