61 lines
3.0 KiB
Python
61 lines
3.0 KiB
Python
# 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 AlgorithmImports import *
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### <summary>
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### Basic template framework algorithm uses framework components to define the algorithm.
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### </summary>
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### <meta name="tag" content="using data" />
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### <meta name="tag" content="using quantconnect" />
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### <meta name="tag" content="trading and orders" />
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class BasicTemplateFrameworkAlgorithm(QCAlgorithm):
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'''Basic template framework algorithm uses framework components to define the algorithm.'''
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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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# Set requested data resolution
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self.universe_settings.resolution = Resolution.MINUTE
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self.set_start_date(2013,10,7) #Set Start Date
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self.set_end_date(2013,10,11) #Set End Date
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self.set_cash(100000) #Set Strategy Cash
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# Find more symbols here: http://quantconnect.com/data
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# Forex, CFD, Equities Resolutions: Tick, Second, Minute, Hour, Daily.
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# Futures Resolution: Tick, Second, Minute
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# Options Resolution: Minute Only.
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symbols = [ Symbol.create("SPY", SecurityType.EQUITY, Market.USA) ]
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# set algorithm framework models
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self.set_universe_selection(ManualUniverseSelectionModel(symbols))
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self.set_alpha(ConstantAlphaModel(InsightType.PRICE, InsightDirection.UP, timedelta(minutes = 20), 0.025, None))
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# We can define how often the EWPCM will rebalance if no new insight is submitted using:
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# Resolution Enum:
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self.set_portfolio_construction(EqualWeightingPortfolioConstructionModel(Resolution.DAILY))
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# timedelta
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# self.set_portfolio_construction(EqualWeightingPortfolioConstructionModel(timedelta(2)))
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# A lamdda datetime -> datetime. In this case, we can use the pre-defined func at Expiry helper class
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# self.set_portfolio_construction(EqualWeightingPortfolioConstructionModel(Expiry.END_OF_WEEK))
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self.set_execution(ImmediateExecutionModel())
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self.set_risk_management(MaximumDrawdownPercentPerSecurity(0.01))
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self.debug("numpy test >>> print numpy.pi: " + str(np.pi))
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def on_order_event(self, order_event):
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if order_event.status == OrderStatus.FILLED:
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self.debug("Purchased Stock: {0}".format(order_event.symbol))
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