forked from QuantConnect/Lean
-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathStatelessCoarseUniverseSelectionBenchmark.py
More file actions
58 lines (45 loc) · 2.19 KB
/
Copy pathStatelessCoarseUniverseSelectionBenchmark.py
File metadata and controls
58 lines (45 loc) · 2.19 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
# 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.Core")
AddReference("System.Collections")
AddReference("QuantConnect.Common")
AddReference("QuantConnect.Algorithm")
from System import *
from QuantConnect import *
from QuantConnect.Algorithm import QCAlgorithm
from QuantConnect.Data.UniverseSelection import *
class StatelessCoarseUniverseSelectionBenchmark(QCAlgorithm):
def Initialize(self):
self.UniverseSettings.Resolution = Resolution.Daily
self.SetStartDate(2017, 11, 1)
self.SetEndDate(2018, 1, 1)
self.SetCash(50000)
self.AddUniverse(self.CoarseSelectionFunction)
self.numberOfSymbols = 250
# sort the data by daily dollar volume and take the top 'NumberOfSymbols'
def CoarseSelectionFunction(self, coarse):
selected = [x for x in coarse if (x.HasFundamentalData)]
# sort descending by daily dollar volume
sortedByDollarVolume = sorted(selected, key=lambda x: x.DollarVolume, reverse=True)
# return the symbol objects of the top entries from our sorted collection
return [ x.Symbol for x in sortedByDollarVolume[:self.numberOfSymbols] ]
def OnSecuritiesChanged(self, changes):
# if we have no changes, do nothing
if changes is None: return
# liquidate removed securities
for security in changes.RemovedSecurities:
if security.Invested:
self.Liquidate(security.Symbol)
for security in changes.AddedSecurities:
self.SetHoldings(security.Symbol, 0.001)