forked from webclinic017/Python-trading-Algorithm
-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathOptionExerciseAssignRegressionAlgorithm.py
More file actions
72 lines (58 loc) · 2.83 KB
/
OptionExerciseAssignRegressionAlgorithm.py
File metadata and controls
72 lines (58 loc) · 2.83 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
# 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 clr import AddReference
AddReference("System")
AddReference("QuantConnect.Algorithm")
AddReference("QuantConnect.Common")
from System import *
from QuantConnect import *
from QuantConnect.Algorithm import *
from datetime import datetime, timedelta
### <summary>
### This regression algorithm tests option exercise and assignment functionality
### We open two positions and go with them into expiration. We expect to see our long position exercised and short position assigned.
### </summary>
### <meta name="tag" content="regression test" />
### <meta name="tag" content="options" />
class OptionExerciseAssignRegressionAlgorithm(QCAlgorithm):
def Initialize(self):
self.SetCash(100000)
self.SetStartDate(2015,12,24)
self.SetEndDate(2015,12,24)
option = self.AddOption("GOOG")
# set our strike/expiry filter for this option chain
option.SetFilter(self.UniverseFunc)
self.SetBenchmark("GOOG")
self._assignedOption = False
def OnData(self, slice):
if self.Portfolio.Invested: return
for kvp in slice.OptionChains:
chain = kvp.Value
# find the call options expiring today
contracts = filter(lambda x:
x.Expiry.date() == self.Time.date() and
x.Strike < chain.Underlying.Price and
x.Right == OptionRight.Call, chain)
# sorted the contracts by their strikes, find the second strike under market price
sorted_contracts = sorted(contracts, key = lambda x: x.Strike, reverse = True)[:2]
if sorted_contracts:
self.MarketOrder(sorted_contracts[0].Symbol, 1)
self.MarketOrder(sorted_contracts[1].Symbol, -1)
# set our strike/expiry filter for this option chain
def UniverseFunc(self, universe):
return universe.IncludeWeeklys().Strikes(-2, 2).Expiration(timedelta(0), timedelta(10))
def OnOrderEvent(self, orderEvent):
self.Log(str(orderEvent))
def OnAssignmentOrderEvent(self, assignmentEvent):
self.Log(str(assignmentEvent))
self._assignedOption = True