| Overall Statistics |
|
Total Trades 1 Average Win 0% Average Loss 0% Compounding Annual Return -1.200% Drawdown 0.200% Expectancy 0 Net Profit -0.121% Sharpe Ratio -1.748 Probabilistic Sharpe Ratio 15.574% Loss Rate 0% Win Rate 0% Profit-Loss Ratio 0 Alpha -0.002 Beta 0.022 Annual Standard Deviation 0.004 Annual Variance 0 Information Ratio 1.312 Tracking Error 0.201 Treynor Ratio -0.363 Total Fees $0.57 Estimated Strategy Capacity $690000000.00 Lowest Capacity Asset MES XZDYPWUWC7I9 Portfolio Turnover 0.06% |
# 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 AlgorithmImports import *
### <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(2022, 2, 7)
self.SetEndDate(2022, 3, 15)
self.SetCash(1000000)
self.contractSymbol = None
# Subscribe and set our expiry filter for the futures chain
#futureSP500 = self.AddFuture(Futures.Indices.SP500EMini)
self.futureSP500 = self.AddFuture(Futures.Indices.MicroSP500EMini)
#futureNQ = self.AddFuture(Futures.Indices.MicroNASDAQ100EMini)
#futureYM = self.AddFuture(Futures.Indices.Dow30EMini)
#futureCL = self.AddFuture(Futures.Energies.MicroCrudeOilWTI)
#futureGold = self.AddFuture(Futures.Metals.Gold)
# set our expiry filter for this futures chain
# SetFilter method accepts timedelta objects or integer for days.
# The following statements yield the same filtering criteria
self.futureSP500.SetFilter(timedelta(0), timedelta(182))
#futureNQ.SetFilter(timedelta(0), timedelta(182))
#futureYM.SetFilter(timedelta(0), timedelta(182))
#futureCL.SetFilter(timedelta(0), timedelta(182))
#futureGold.SetFilter(0, 182)
benchmark = self.AddEquity("SPY")
self.SetBenchmark(benchmark.Symbol)
seeder = FuncSecuritySeeder(self.GetLastKnownPrices)
self.SetSecurityInitializer(lambda security: seeder.SeedSecurity(security))
history = self.History(
tickers=[self.futureSP500.Symbol],
start=self.Time - timedelta(days=15),
end=self.Time,
resolution=Resolution.Minute,
fillForward=False,
extendedMarketHours=False,
dataMappingMode=DataMappingMode.OpenInterest,
dataNormalizationMode=DataNormalizationMode.Raw,
contractDepthOffset=0)
checkHere=1
def OnData(self,slice):
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))
# 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.contractSymbol = front.Symbol
price = slice[self.contractSymbol].Price #price RIGHT NOW
price_Cont = slice[self.futureSP500.Symbol].Price
#self.Debug(front.Symbol.Value + "=" + str(price)+" Continuous="+ str(price_Cont))
self.Plot("Futures", "Price - Continuous", price)
self.Plot("Futures", "Price - Front Month", price_Cont)
self.Plot("Diff", "Cont - FM", price_Cont - price)
if not self.Portfolio.Invested:
self.MarketOrder(front.Symbol , 1)
else:
BuyHold=1
#self.Liquidate()
def OnEndOfAlgorithm(self):
# Get the margin requirements
buyingPowerModel = self.Securities[self.contractSymbol].BuyingPowerModel
name = type(buyingPowerModel).__name__
if name != 'FutureMarginModel':
raise Exception(f"Invalid buying power model. Found: {name}. Expected: FutureMarginModel")
initialOvernight = buyingPowerModel.InitialOvernightMarginRequirement
maintenanceOvernight = buyingPowerModel.MaintenanceOvernightMarginRequirement
initialIntraday = buyingPowerModel.InitialIntradayMarginRequirement
maintenanceIntraday = buyingPowerModel.MaintenanceIntradayMarginRequirement
def OnSecuritiesChanged(self, changes):
for addedSecurity in changes.AddedSecurities:
if addedSecurity.Symbol.SecurityType == SecurityType.Future and not addedSecurity.Symbol.IsCanonical() and not addedSecurity.HasData:
raise Exception(f"Future contracts did not work up as expected: {addedSecurity.Symbol}")