# 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>### Demonstration of the parameter system of QuantConnect. Using parameters you can pass the values required into C# algorithms for optimization.### </summary>### <meta name="tag" content="optimization" />### <meta name="tag" content="using quantconnect" />class ParameterizedAlgorithm(QCAlgorithm):def initialize(self):'''Initialise the data and resolution required, as well as the cash and start-end dates for your algorithm. All algorithms must initialized.'''self.set_start_date(2013, 10, 7) #Set Start Dateself.set_end_date(2013, 10, 11) #Set End Dateself.set_cash(100000) #Set Strategy Cash# Find more symbols here: http://quantconnect.com/dataself.add_equity("SPY")# Receive parameters from the Jobfast_period = self.get_parameter("ema-fast", 100)slow_period = self.get_parameter("ema-slow", 200)self.fast = self.ema("SPY", fast_period)self.slow = self.ema("SPY", slow_period)def on_data(self, data):'''OnData event is the primary entry point for your algorithm. Each new data point will be pumped in here.'''# wait for our indicators to readyif not self.fast.is_ready or not self.slow.is_ready:returnfast = self.fast.current.valueslow = self.slow.current.valueif fast > slow * 1.001:self.set_holdings("SPY", 1)elif fast < slow * 0.999:self.liquidate("SPY")
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