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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.Indicators")
AddReference("QuantConnect.Common")
from System import *
from QuantConnect import *
from QuantConnect.Data import *
from QuantConnect.Algorithm import *
from QuantConnect.Indicators import *
class HistoryRequestBenchmark(QCAlgorithm):
def Initialize(self):
self.SetStartDate(2010, 1, 1)
self.SetEndDate(2018, 1, 1)
self.SetCash(10000)
self.symbol = self.AddEquity("SPY").Symbol
def OnEndOfDay(self):
minuteHistory = self.History([self.symbol], 60, Resolution.Minute)
lastHourHigh = 0
for index, row in minuteHistory.loc["SPY"].iterrows():
if lastHourHigh < row["high"]:
lastHourHigh = row["high"]
dailyHistory = self.History([self.symbol], 1, Resolution.Daily).loc["SPY"].head()
dailyHistoryHigh = dailyHistory["high"]
dailyHistoryLow = dailyHistory["low"]
dailyHistoryOpen = dailyHistory["open"]