Files
2026-07-13 13:02:50 +08:00

49 lines
2.2 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 *
class PEP8StyleBasicAlgorithm(QCAlgorithm):
def initialize(self):
self.set_start_date(2013,10, 7)
self.set_end_date(2013,10,11)
self.set_cash(100000)
self.spy = self.add_equity("SPY", Resolution.MINUTE, extended_market_hours=False, fill_forward=True).symbol
# Test accessing a constant (QCAlgorithm.MaxTagsCount)
self.debug("MaxTagsCount: " + str(self.MAX_TAGS_COUNT))
def on_data(self, slice):
if not self.portfolio.invested:
self.set_holdings(self.spy, 1)
self.debug("Purchased Stock")
def on_order_event(self, order_event):
self.log(f"{self.time} :: {order_event}")
def on_end_of_algorithm(self):
self.log("Algorithm ended!")
if not self.portfolio.invested:
raise AssertionError("Algorithm should have been invested at the end of the algorithm")
# let's do some logging to do more pep8 style testing
self.log("-----------------------------------------------------------------------------------------")
self.log(f"{self.spy.value} last price: {self.securities[self.spy].price}")
self.log(f"{self.spy.value} holdings: "
f"{self.securities[self.spy].holdings.quantity}@{self.securities[self.spy].holdings.price}="
f"{self.securities[self.spy].holdings.holdings_value}")
self.log("-----------------------------------------------------------------------------------------")