55 lines
2.7 KiB
Python
55 lines
2.7 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>
|
|
### This example demonstrates how to use the OptionUniverseSelectionModel to select options contracts based on specified conditions.
|
|
### The model is updated daily and selects different options based on the current date.
|
|
### The algorithm ensures that only valid option contracts are selected for the universe.
|
|
### </summary>
|
|
class AddOptionUniverseSelectionModelRegressionAlgorithm(QCAlgorithm):
|
|
def initialize(self):
|
|
self.set_start_date(2014, 6, 5)
|
|
self.set_end_date(2014, 6, 6)
|
|
self.option_count = 0
|
|
|
|
self.universe_settings.resolution = Resolution.MINUTE
|
|
self.set_universe_selection(OptionUniverseSelectionModel(
|
|
timedelta(days=1),
|
|
self.select_option_chain_symbols
|
|
))
|
|
|
|
def select_option_chain_symbols(self, utc_time):
|
|
new_york_time = Extensions.convert_from_utc(utc_time, TimeZones.NEW_YORK)
|
|
if new_york_time.date() < datetime(2014, 6, 6).date():
|
|
return [ Symbol.create("TWX", SecurityType.OPTION, Market.USA) ]
|
|
|
|
if new_york_time.date() >= datetime(2014, 6, 6).date():
|
|
return [ Symbol.create("AAPL", SecurityType.OPTION, Market.USA) ]
|
|
|
|
def on_securities_changed(self, changes):
|
|
if len(changes.added_securities) > 0:
|
|
for security in changes.added_securities:
|
|
symbol = security.symbol.underlying if security.symbol.underlying else security.Symbol
|
|
if symbol.value != "AAPL" and symbol.value != "TWX":
|
|
raise RegressionTestException(f"Unexpected security {security.Symbol}")
|
|
|
|
if security.symbol.security_type == SecurityType.OPTION:
|
|
self.option_count += 1
|
|
|
|
def on_end_of_algorithm(self):
|
|
if len(self.active_securities) == 0:
|
|
raise RegressionTestException("No active securities found. Expected at least one active security")
|
|
if self.option_count == 0:
|
|
raise RegressionTestException("The option count should be greater than 0") |