Overall Statistics |
Total Trades 9 Average Win 0.01% Average Loss -0.10% Compounding Annual Return -12.305% Drawdown 0.200% Expectancy -0.436 Net Profit -0.168% Sharpe Ratio -7.321 Loss Rate 50% Win Rate 50% Profit-Loss Ratio 0.13 Alpha -0.003 Beta -7.43 Annual Standard Deviation 0.012 Annual Variance 0 Information Ratio -8.204 Tracking Error 0.012 Treynor Ratio 0.011 Total Fees $9.00 |
# 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. from clr import AddReference AddReference("System") AddReference("QuantConnect.Algorithm") AddReference("QuantConnect.Common") from System import * from QuantConnect import * from QuantConnect.Algorithm import * from QuantConnect.Securities import * from QuantConnect.Data.Market import * from QuantConnect.Orders import * from datetime import datetime ### <summary> ### Demonstration of the Market On Close order for US Equities. ### </summary> ### <meta name="tag" content="trading and orders" /> ### <meta name="tag" content="placing orders" /> class MarketOnOpenOnCloseAlgorithm(QCAlgorithm): def Initialize(self): '''Initialise the data and resolution required, as well as the cash and start-end dates for your algorithm. All algorithms must initialized.''' self.SetStartDate(2013,10,07) #Set Start Date self.SetEndDate(2013,10,11) #Set End Date self.SetCash(100000) #Set Strategy Cash # Find more symbols here: http://quantconnect.com/data self.equity = self.AddEquity("SPY", Resolution.Second, fillDataForward = True, extendedMarketHours = True) self.__submittedMarketOnCloseToday = False self.__last = datetime.min def OnData(self, data): '''OnData event is the primary entry point for your algorithm. Each new data point will be pumped in here.''' if self.Time.date() != self.__last.date(): # each morning submit a market on open order self.__submittedMarketOnCloseToday = False self.MarketOnOpenOrder("SPY", 100) self.__last = self.Time if not self.__submittedMarketOnCloseToday and self.equity.Exchange.ExchangeOpen: # once the exchange opens submit a market on close order self.__submittedMarketOnCloseToday = True self.MarketOnCloseOrder("SPY", -100) def OnOrderEvent(self, fill): order = self.Transactions.GetOrderById(fill.OrderId) self.Log("{0} - {1}:TEST: {2}".format(self.Time, order.Type, fill))