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quantconnect--lean/Algorithm.Python/OnWarmupFinishedRegressionAlgorithm.py
2026-07-13 13:02:50 +08:00

37 lines
1.6 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 asserting 'OnWarmupFinished' is being called
### </summary>
class OnWarmupFinishedRegressionAlgorithm(QCAlgorithm):
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.set_start_date(2013,10, 8) #Set Start Date
self.set_end_date(2013,10,11) #Set End Date
self.set_cash(100000) #Set Strategy Cash
self.add_equity("SPY", Resolution.MINUTE)
self.set_warmup(timedelta(days = 1))
self._on_warmup_finished = 0
def on_warmup_finished(self):
self._on_warmup_finished += 1
def on_end_of_algorithm(self):
if self._on_warmup_finished != 1:
raise AssertionError(f"Unexpected OnWarmupFinished call count {self._on_warmup_finished}")