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quantconnect--lean/Algorithm.Python/HistoryWithDifferentContinuousContractDepthOffsetsRegressionAlgorithm.py
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Jhonathan Abreu e9409bf207
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Add contractDepthOffset parameter to QCAlgorithm.History() (#6438)
* Add contract depth offset parameter to big History() methods

- Added unit tests
- Added little more ED daily data

* Add C# regression algorithm

* Add Python regression algorithm

* Update regression algorithms stats

* Address changes request
2022-06-27 10:04:33 -03:00

43 lines
2.1 KiB
Python

# 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>
### Regression algorithm illustrating how to request history data for continuous contracts with different depth offsets.
### </summary>
class HistoryWithDifferentContinuousContractDepthOffsetsRegressionAlgorithm(QCAlgorithm):
def Initialize(self):
self.SetStartDate(2013, 10, 6)
self.SetEndDate(2014, 1, 1)
self._continuousContractSymbol = self.AddFuture(Futures.Indices.SP500EMini, Resolution.Daily).Symbol
def OnEndOfAlgorithm(self):
contractDepthOffsets = range(3)
historyResults = [
self.History([self._continuousContractSymbol], self.StartDate, self.EndDate, Resolution.Daily, contractDepthOffset=contractDepthOffset)
.droplevel(0, axis=0)
.loc[self._continuousContractSymbol]
.close
for contractDepthOffset in contractDepthOffsets
]
if any(x.size == 0 or x.size != historyResults[0].size for x in historyResults):
raise Exception("History results are empty or bar counts did not match")
# Check that prices at each time are different for different contract depth offsets
for j in range(historyResults[0].size):
closePrices = set(historyResults[i][j] for i in range(len(historyResults)))
if len(closePrices) != len(contractDepthOffsets):
raise Exception("History results close prices should have been different for each data mapping mode at each time")