73 lines
3.5 KiB
Python
73 lines
3.5 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 is an option split regression algorithm
|
|
### </summary>
|
|
### <meta name="tag" content="options" />
|
|
### <meta name="tag" content="regression test" />
|
|
class OptionRenameRegressionAlgorithm(QCAlgorithm):
|
|
|
|
def initialize(self):
|
|
|
|
self.set_cash(1000000)
|
|
self.set_start_date(2013,6,28)
|
|
self.set_end_date(2013,7,2)
|
|
option = self.add_option("TFCFA")
|
|
|
|
# set our strike/expiry filter for this option chain
|
|
option.set_filter(-1, 1, timedelta(0), timedelta(3650))
|
|
# use the underlying equity as the benchmark
|
|
self.set_benchmark("TFCFA")
|
|
|
|
def on_data(self, slice):
|
|
''' Event - v3.0 DATA EVENT HANDLER: (Pattern) Basic template for user to override for receiving all subscription data in a single event
|
|
<param name="slice">The current slice of data keyed by symbol string</param> '''
|
|
if not self.portfolio.invested:
|
|
for kvp in slice.option_chains:
|
|
chain = kvp.value
|
|
if self.time.day == 28 and self.time.hour > 9 and self.time.minute > 0:
|
|
|
|
contracts = [i for i in sorted(chain, key=lambda x:x.expiry)
|
|
if i.right == OptionRight.CALL and
|
|
i.strike == 33 and
|
|
i.expiry.date() == datetime(2013,8,17).date()]
|
|
if contracts:
|
|
# Buying option
|
|
contract = contracts[0]
|
|
self.buy(contract.symbol, 1)
|
|
# Buy the undelying stock
|
|
underlying_symbol = contract.symbol.underlying
|
|
self.buy (underlying_symbol, 100)
|
|
# check
|
|
if float(contract.ask_price) != 1.1:
|
|
raise ValueError("Regression test failed: current ask price was not loaded from NWSA backtest file and is not $1.1")
|
|
elif self.time.day == 2 and self.time.hour > 14 and self.time.minute > 0:
|
|
for kvp in slice.option_chains:
|
|
chain = kvp.value
|
|
self.liquidate()
|
|
contracts = [i for i in sorted(chain, key=lambda x:x.expiry)
|
|
if i.right == OptionRight.CALL and
|
|
i.strike == 33 and
|
|
i.expiry.date() == datetime(2013,8,17).date()]
|
|
if contracts:
|
|
contract = contracts[0]
|
|
self.log("Bid Price" + str(contract.bid_price))
|
|
if float(contract.bid_price) != 0.05:
|
|
raise ValueError("Regression test failed: current bid price was not loaded from FOXA file and is not $0.05")
|
|
|
|
def on_order_event(self, order_event):
|
|
self.log(str(order_event))
|