Files
quantconnect--lean/Algorithm.Python/SetHoldingsRegressionAlgorithm.py
T
Ashutosh 3c30e255fe pep8 conversion of python algos (#7948)
* pep8 conversion of python algos

* adding 10 more pep8 converted algos

* PEP8 updates/fixes

---------

Co-authored-by: Jhonathan Abreu <jdabreu25@gmail.com>
2024-04-19 10:06:48 -04:00

40 lines
1.7 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 testing the SetHolding trading API precision
### </summary>
class SetHoldingsRegressionAlgorithm(QCAlgorithm):
'''Basic template algorithm simply initializes the date range and cash'''
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, 7)
self.set_end_date(2013, 10, 8)
self.add_equity("SPY", Resolution.MINUTE)
def on_data(self, data):
'''OnData event is the primary entry point for your algorithm. Each new data point will be pumped in here.
Arguments:
data: Slice object keyed by symbol containing the stock data
'''
if not self.portfolio.invested:
self.set_holdings("SPY", 0.1)
self.set_holdings("SPY", float(0.20))
self.set_holdings("SPY", np.float64(0.30))
self.set_holdings("SPY", 1)