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UniverseSelectionRegressionAlgorithm.py
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# 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 datetime import datetime
import clr
clr.AddReference("System.Core")
clr.AddReference("QuantConnect.Common")
clr.AddReference("QuantConnect.Algorithm")
from System import *
from QuantConnect import *
from QuantConnect.Algorithm import *
from QuantConnect.Orders import *
from QuantConnect.Data.UniverseSelection import *
class UniverseSelectionRegressionAlgorithm(QCAlgorithm):
'''Basic template algorithm simply initializes the date range and cash'''
def __init__(self):
self.__delistedSymbols = []
self.__changes = None
def CoarseSelectionFunction(self, coarse):
return [c.Symbol for c in coarse if c.Symbol.Value == "GOOG" or c.Symbol.Value == "GOOCV" or c.Symbol.Value == "GOOAV" or c.Symbol.Value == "GOOGL"]
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(2014,03,22) #Set Start Date
self.SetEndDate(2014,04,07) #Set End Date
self.SetCash(100000) #Set Strategy Cash
# Find more symbols here: http://quantconnect.com/data
# security that exists with no mappings
self.AddSecurity(SecurityType.Equity, "SPY", Resolution.Daily)
# security that doesn't exist until half way in backtest (comes in as GOOCV)
self.AddSecurity(SecurityType.Equity, "GOOG", Resolution.Daily)
self.UniverseSettings.Resolution = Resolution.Daily
self.AddUniverse(self.CoarseSelectionFunction)
def OnData(self, data):
'''OnData event is the primary entry point for your algorithm. Each new data point will be pumped in here.
Arguments:
data: Slice object keyed by symbol containing the stock data
'''
if self.Transactions.OrdersCount == 0:
self.MarketOrder("SPY", 100)
for kvp in data.Delistings:
self.__delistedSymbols.append(kvp.Key)
pyTime = datetime(self.Time)
if pyTime.date == datetime(2014, 4, 7):
self.Liquidade()
return
if self.__changes is not None:
if all(security.Symbol in data.Bars for security in self.__changes.AddedSecurities):
for security in self.__changes.AddedSecurities:
self.Log("{0}: Added Security: {1}".format(pyTime, security.Symbol))
self.MarketOnOpenOrder(security.Symbol, 100)
for security in self.__changes.RemovedSecurities:
self.Log("{0}: Removed Security: {1}".format(pyTime, security.Symbol))
if security.Symbol not in self.__delistedSymbols:
self.Log("Not in delisted: {0}:".format(security.Symbol))
self.MarketOnOpenOrder(security.Symbol, -100)
self.__changes = None;
def OnSecuritiesChanged(self, changes):
self.__changes = changes
def OnOrderEvent(self, orderEvent):
if orderEvent.Status == OrderStatus.Submitted:
self.Log("{0}: Submitted: {1}".format(self.Time, self.Transactions.GetOrderById(orderEvent.OrderId)))
if orderEvent.Status == OrderStatus.Filled:
self.Log("{0}: Filled: {1}".format(self.Time, self.Transactions.GetOrderById(orderEvent.OrderId)))