| 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))