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quantconnect--lean/Algorithm.Python/BasicTemplateAxosAlgorithm.py
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Martin-Molinero 5e9901c667
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Shortable modeling improvements (#7579)
* Shortable modeling improvements

- Do not limit live trading because of shortable model, will send
  algorithm warning
- Add Interactive brokers shortable provider
- Minor LocalDiskShortableProvider API changes

* Fix shorted order update

- Fix shorted order update. Updating regression algorithm

* Minor improvement

* Address reviews
2023-11-16 16:25:56 -03:00

45 lines
1.9 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>
### Basic template algorithm for the Axos brokerage
### </summary>
### <meta name="tag" content="using data" />
### <meta name="tag" content="using quantconnect" />
### <meta name="tag" content="trading and orders" />
class BasicTemplateAtreyuAlgorithm(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.SetStartDate(2013,10, 7) #Set Start Date
self.SetEndDate(2013,10,11) #Set End Date
self.SetCash(100000) #Set Strategy Cash
self.SetBrokerageModel(BrokerageName.Axos)
self.AddEquity("SPY", Resolution.Minute)
def OnData(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:
# will set 25% of our buying power with a market order
self.SetHoldings("SPY", 0.25)
self.Debug("Purchased SPY!")