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quantconnect--lean/Algorithm.Python/SectorWeightingFrameworkAlgorithm.py
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Jhonathan Abreu 77591f90c7
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PEP8 python algorithms conversion (#7950)
* PEP8 python algorithms conversion

* Fix: Get python or c# methods in PythonData as python wrapper

* Convert portfolio models to PEP8
2024-04-18 19:43:48 -03:00

49 lines
2.2 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 algorithm defines its own custom coarse/fine fundamental selection model
### with sector weighted portfolio.
### </summary>
class SectorWeightingFrameworkAlgorithm(QCAlgorithm):
'''This example algorithm defines its own custom coarse/fine fundamental selection model
with sector weighted portfolio.'''
def Initialize(self):
# Set requested data resolution
self.UniverseSettings.Resolution = Resolution.Daily
self.SetStartDate(2014, 4, 2)
self.SetEndDate(2014, 4, 6)
self.SetCash(100000)
# set algorithm framework models
self.SetUniverseSelection(FineFundamentalUniverseSelectionModel(self.SelectCoarse, self.SelectFine))
self.SetAlpha(ConstantAlphaModel(InsightType.Price, InsightDirection.Up, timedelta(1)))
self.SetPortfolioConstruction(SectorWeightingPortfolioConstructionModel())
def OnOrderEvent(self, orderEvent):
if orderEvent.Status == OrderStatus.Filled:
self.Debug(f"Order event: {orderEvent}. Holding value: {self.Securities[orderEvent.Symbol].Holdings.AbsoluteHoldingsValue}")
def SelectCoarse(self, coarse):
# IndustryTemplateCode of AAPL, IBM and GOOG is N, AIG is I, BAC is B. SPY have no fundamentals
tickers = ["AAPL", "AIG", "IBM"] if self.Time.date() < date(2014, 4, 4) else [ "GOOG", "BAC", "SPY" ]
return [Symbol.Create(x, SecurityType.Equity, Market.USA) for x in tickers]
def SelectFine(self, fine):
return [f.Symbol for f in fine]