Overall Statistics |
Total Trades 9984 Average Win 0.00% Average Loss -0.01% Compounding Annual Return -100% Drawdown 32.400% Expectancy -0.869 Net Profit -32.383% Sharpe Ratio -36.928 Loss Rate 91% Win Rate 9% Profit-Loss Ratio 0.40 Alpha -8.598 Beta -1422.946 Annual Standard Deviation 0.632 Annual Variance 0.399 Information Ratio -36.919 Tracking Error 0.632 Treynor Ratio 0.016 Total Fees $18470.40 |
# 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 datetime import timedelta ### <summary> ### This example demonstrates how to add futures for a given underlying asset. ### It also shows how you can prefilter contracts easily based on expirations, and how you ### can inspect the futures chain to pick a specific contract to trade. ### </summary> ### <meta name="tag" content="using data" /> ### <meta name="tag" content="benchmarks" /> ### <meta name="tag" content="futures" /> class BasicTemplateFuturesAlgorithm(QCAlgorithm): def Initialize(self): self.SetStartDate(2013, 10, 7) self.SetEndDate(2013, 10, 11) self.SetCash(1000000) # Subscribe and set our expiry filter for the futures chain futureES = self.AddFuture(Futures.Indices.SP500EMini) futureES.SetFilter(timedelta(0), timedelta(182)) futureGC = self.AddFuture(Futures.Metals.Gold) futureGC.SetFilter(timedelta(0), timedelta(182)) def OnData(self,slice): if not self.Portfolio.Invested: for chain in slice.FutureChains: # Get contracts expiring no earlier than in 90 days #contracts = list(filter(lambda x: x.Expiry > self.Time + timedelta(90), chain.Value)) contracts = [i for i in chain.Value] if len(contracts) > 0: contract = sorted(contracts, key=lambda x: x.OpenInterest, reverse=False)[0] self.MarketOrder(contract.Symbol, 1); # if there is any contract, trade the front contract #if len(contracts) == 0: continue #front = sorted(contracts, key = lambda x: x.Expiry, reverse=True)[0] #self.MarketOrder(front.Symbol , 1) else: self.Liquidate() def OnOrderEvent(self, orderEvent): self.Log(str(orderEvent))