/* * 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.Brokerages; using QuantConnect.Data; using QuantConnect.Data.Market; using QuantConnect.Orders; using QuantConnect.Securities; namespace QuantConnect.Algorithm.CSharp { /// /// Demonstrate the usage of the BrokerageModel property to help improve backtesting /// accuracy through simulation of a specific brokerage's rules around restrictions /// on submitting orders as well as fee structure. /// /// /// public class BrokerageModelAlgorithm : QCAlgorithm { /// /// Initialize the data and resolution required, as well as the cash and start-end dates for your algorithm. All algorithms must be initialized. /// public override void Initialize() { SetStartDate(2013, 10, 07); //Set Start Date SetEndDate(2013, 10, 11); //Set End Date SetCash(100000); //Set Strategy Cash // Find more symbols here: http://quantconnect.com/data AddSecurity(SecurityType.Equity, "SPY", Resolution.Second); // there's two ways to set your brokerage model. The easiest would be to call // SetBrokerageModel( BrokerageName ); // BrokerageName is an enum //SetBrokerageModel(BrokerageName.InteractiveBrokersBrokerage); //SetBrokerageModel(BrokerageName.Default); // the other way is to call SetBrokerageModel( IBrokerageModel ) with your // own custom model. I've defined a simple extension to the default brokerage // model to take into account a requirement to maintain 500 cash in the account // at all times SetBrokerageModel(new MinimumAccountBalanceBrokerageModel(this, 500.00m)); } private decimal _last = 1.0m; /// /// OnData event is the primary entry point for your algorithm. Each new data point will be pumped in here. /// /// Slice object keyed by symbol containing the stock data public override void OnData(Slice slice) { if (!Portfolio.Invested) { //fails first several times, we'll keep decrementing until it succeeds SetHoldings("SPY", _last); if (Portfolio["SPY"].Quantity == 0) { // each time we fail to purchase we'll decrease our set holdings percentage Debug(Time + " - Failed to purchase stock"); _last *= 0.95m; } else { Debug(Time + " - Purchased Stock @ SetHoldings( " + _last + " )"); } } } /// /// Custom brokerage model that requires clients to maintain a minimum cash balance /// class MinimumAccountBalanceBrokerageModel : DefaultBrokerageModel { private readonly QCAlgorithm _algorithm; private readonly decimal _minimumAccountBalance; public MinimumAccountBalanceBrokerageModel(QCAlgorithm algorithm, decimal minimumAccountBalance) { _algorithm = algorithm; _minimumAccountBalance = minimumAccountBalance; } /// /// Prevent orders which would bring the account below a minimum cash balance /// public override bool CanSubmitOrder(Security security, Order order, out BrokerageMessageEvent message) { message = null; // we want to model brokerage requirement of _minimumAccountBalance cash value in account var orderCost = order.GetValue(security); var cash = _algorithm.Portfolio.Cash; var cashAfterOrder = cash - orderCost; if (cashAfterOrder < _minimumAccountBalance) { // return a message describing why we're not allowing this order message = new BrokerageMessageEvent(BrokerageMessageType.Warning, "InsufficientRemainingCapital", $"Account must maintain a minimum of ${_minimumAccountBalance.ToStringInvariant()} USD at all times. " + $"Order ID: {order.Id.ToStringInvariant()}" ); return false; } return true; } } } }