Adds DividendAlgorithm.py
Adds Python version of DividendAlgorithm
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# QUANTCONNECT.COM - Democratizing Finance, Empowering Individuals.
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# Lean Algorithmic Trading Engine v2.0. Copyright 2014 QuantConnect Corporation.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from clr import AddReference
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AddReference("System")
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AddReference("QuantConnect.Algorithm")
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AddReference("QuantConnect.Common")
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from System import *
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from QuantConnect import *
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from QuantConnect.Algorithm import *
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from QuantConnect.Brokerages import *
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from QuantConnect.Data import *
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from QuantConnect.Data.Market import *
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from QuantConnect.Orders import *
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class DividendAlgorithm(QCAlgorithm):
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'''Showcases the dividend and split event of QCAlgorithm
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The data for this algorithm isn't in the github repo, so this will need to be run on the QC site'''
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def Initialize(self):
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'''Initialise the data and resolution required, as well as the cash and start-end dates for your algorithm. All algorithms must initialized.'''
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self.SetStartDate(1998,01,01) #Set Start Date
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self.SetEndDate(2006,01,21) #Set End Date
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self.SetCash(100000) #Set Strategy Cash
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# Find more symbols here: http://quantconnect.com/data
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self.AddSecurity(SecurityType.Equity, "MSFT", Resolution.Daily)
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self.Securities["MSFT"].SetDataNormalizationMode(DataNormalizationMode.Raw)
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# this will use the Tradier Brokerage open order split behavior
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# forward split will modify open order to maintain order value
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# reverse split open orders will be cancelled
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self.SetBrokerageModel(BrokerageName.TradierBrokerage)
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def OnData(self, data):
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'''OnData event is the primary entry point for your algorithm. Each new data point will be pumped in here.
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Arguments:
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data: Slice object keyed by symbol containing the stock data
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'''
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if self.Transactions.OrdersCount == 0:
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self.SetHoldings("MSFT", .5)
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# place some orders that won't fill, when the split comes in they'll get modified to reflect the split
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self.Debug("Purchased Stock: {0}".format(self.Securities["MSFT"].Price))
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self.StopMarketOrder("MSFT", -self.CalculateOrderQuantity("MSFT", .25), data["MSFT"].Low/2)
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self.LimitOrder("MSFT", -self.CalculateOrderQuantity("MSFT", .25), data["MSFT"].High*2)
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for kvp in data.Dividends: # update this to Dividends dictionary
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symbol = kvp.Key
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value = kvp.Value.Distribution
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self.Log("{0} >> DIVIDEND >> {1} - {2} - {3} - {4}".format(self.Time, symbol, value, self.Portfolio.Cash, self.Portfolio["MSFT"].Price))
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for kvp in data.Splits: # update this to Splits dictionary
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symbol = kvp.Key
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value = kvp.Value.SplitFactor
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self.Log("{0} >> SPLIT >> {1} - {2} - {3} - {4}".format(self.Time, symbol, value, self.Portfolio.Cash, self.Portfolio["MSFT"].Quantity))
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def OnOrderEvent(self, orderEvent):
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# orders get adjusted based on split events to maintain order value
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order = self.Transactions.GetOrderById(orderEvent.OrderId)
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self.Log("{0} >> ORDER >> {1}".format(self.Time, order))
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@@ -104,6 +104,7 @@
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</ItemGroup>
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<ItemGroup>
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<Content Include="AddRemoveSecurityRegressionAlgorithm.py" />
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<Content Include="DividendAlgorithm.py" />
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<Content Include="MACDTrendAlgorithm.py" />
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<Content Include="QuandlImporterAlgorithm.py" />
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<Content Include="OrderTicketDemoAlgorithm.py" />
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