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TickDataFilteringAlgorithm.py
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77 lines (62 loc) · 2.6 KB
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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 clr import AddReference
AddReference("System")
AddReference("QuantConnect.Algorithm")
AddReference("QuantConnect.Common")
from System import *
from QuantConnect import *
from QuantConnect.Algorithm import *
from QuantConnect.Data import *
from QuantConnect.Data.Market import *
from QuantConnect.Interfaces import *
from QuantConnect.Securities import *
from QuantConnect.Securities.Interfaces import *
class TickDataFilteringAlgorithm(QCAlgorithm):
'''Tick Filter Example'''
def Initialize(self):
'''Initialize the tick filtering example algorithm'''
self.SetStartDate(2013,10,07) #Set Start Date
self.SetEndDate(2013,10,11) #Set End Date
self.SetCash(25000) #Set Strategy Cash
# Find more symbols here: http://quantconnect.com/data
self.AddSecurity(SecurityType.Equity, "SPY", Resolution.Tick)
# Add our custom data filter.
self.Securities["SPY"].DataFilter = ExchangeDataFilter(self)
def OnData(self, data):
'''Data arriving here will now be filtered.
Arguments:
data: Ticks data array
'''
if not data.ContainsKey("SPY"): return
spyTickList = data["SPY"]
#Ticks return a list of ticks this second
for tick in spyTickList:
self.Log(tick.Exchange)
if not self.Portfolio.Invested:
self.SetHoldings("SPY", 1)
class ExchangeDataFilter(ISecurityDataFilter):
'''Exchange filter class'''
def __init__(self, algo):
'''Save instance of the algorithm namespace'''
self.__algo = algo
def Filter(self, asset, data):
'''Filter out a tick from this vehicle, with this new data:
Arguments:
data: New data packet
asset: Vehicle of this filter.
Returns:
TRUE: Accept Tick
FALSE: Reject Tick
'''
return type(data) == Tick and data.Exchange == "P"