Files
quantconnect--lean/Algorithm.Python/CrunchDAOPortfolioSignalExportDemonstrationAlgorithm.py
T
Louis Szeto 991ac4595f Improves Export Signal Algorithms (#7210)
* Update Collective2PortfolioSignalExportDemonstrationAlgorithm

* Update Collective2SignalExportDemonstrationAlgorithm

* Update CrunchDAOPortfolioSignalExportDemonstrationAlgorithm

* Update CrunchDAOSignalExportDemonstrationAlgorithm

* Update NumeraiPortfolioSignalExportDemonstrationAlgorithm

* Update NumeraiSignalExportDemonstrationAlgorithm

* Address peer review

* Add logic to handle warm up

* Update unit test statistics
2023-05-01 12:14:54 -03:00

89 lines
3.9 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 algorithm sends a portfolio target from algorithm's Portfolio
### to CrunchDAO API every time the ema indicators crosses between themselves.
### </summary>
### <meta name="tag" content="using data" />
### <meta name="tag" content="using quantconnect" />
### <meta name="tag" content="securities and portfolio" />
class CrunchDAOPortfolioSignalExportDemonstrationAlgorithm(QCAlgorithm):
def Initialize(self):
''' Initialize the date and add one equity symbol, as CrunchDAO only accepts stock and index symbols '''
self.SetStartDate(2013, 10, 7) #Set Start Date
self.SetEndDate(2013, 10, 11) #Set End Date
self.SetCash(100000) #Set Strategy Cash
self.AddEquity("SPY");
self.fast = self.EMA("SPY", 10)
self.slow = self.EMA("SPY", 100)
# Initialize these flags, to check when the ema indicators crosses between themselves
self.emaFastIsNotSet = True;
self.emaFastWasAbove = False;
# Set the CrunchDAO signal export provider
# CrunchDAO API key: This value is provided by CrunchDAO when you sign up
self.crunchDAOApiKey = ""
# CrunchDAO Model ID: When your email is verified, you can find this value in your CrunchDAO profile main page: https://tournament.crunchdao.com/profile/alpha
self.crunchDAOModel = ""
# Replace this value with the name for your submission (Optional)
self.crunchDAOSubmissionName = ""
# Replace this value with a comment for your submission (Optional)
self.crunchDAOComment = ""
self.SignalExport.AddSignalExportProviders(CrunchDAOSignalExport(self.crunchDAOApiKey, self.crunchDAOModel, self.crunchDAOSubmissionName, self.crunchDAOComment))
self.first_call = True
self.SetWarmUp(100)
def OnData(self, data):
''' Reduce the quantity of holdings for spy or increase it when the EMA's indicators crosses
between themselves, then send a signal to CrunchDAO API '''
if self.IsWarmingUp: return
# Place an order as soon as possible to send a signal.
if self.first_call:
self.SetHoldings("SPY", 0.1)
self.SignalExport.SetTargetPortfolioFromPortfolio()
self.first_call = False
fast = self.fast.Current.Value
slow = self.slow.Current.Value
# Set the value of flag _emaFastWasAbove, to know when the ema indicators crosses between themselves
if self.emaFastIsNotSet == True:
if fast > slow *1.001:
self.emaFastWasAbove = True
else:
self.emaFastWasAbove = False
self.emaFastIsNotSet = False;
# Check whether ema fast and ema slow crosses. If they do, set holdings to SPY
# or reduce its holdings, and send signals to the CrunchDAO API from your Portfolio
if fast > slow * 1.001 and (not self.emaFastWasAbove):
self.SetHoldings("SPY", 0.1)
self.SignalExport.SetTargetPortfolioFromPortfolio()
elif fast < slow * 0.999 and (self.emaFastWasAbove):
self.SetHoldings("SPY", 0.01)
self.SignalExport.SetTargetPortfolioFromPortfolio()